Definitions
Every indicator we hold, with its unit and its source definition. If a definition is missing here, treat the number with caution.
Australian national accounts, key aggregates
Australian Bureau of Statistics · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Chain volume measures — Gross national income — Original — Quarterly | ANA.M1.GNI.10.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Chain volume measures — Gross national income — Seasonally Adjusted — Quarterly | ANA.M1.GNI.20.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Chain volume measures — Gross national income — Trend — Quarterly | ANA.M1.GNI.30.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Chain volume measures — Gross domestic product — Original — Quarterly | ANA.M1.GPM.10.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Chain volume measures — Gross domestic product — Seasonally Adjusted — Quarterly | ANA.M1.GPM.20.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Chain volume measures — Gross domestic product — Trend — Quarterly | ANA.M1.GPM.30.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Chain volume measures — GDP per capita — Original — Quarterly | ANA.M1.GPM_PCA.10.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Chain volume measures — GDP per capita — Seasonally Adjusted — Quarterly | ANA.M1.GPM_PCA.20.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Chain volume measures — GDP per capita — Trend — Quarterly | ANA.M1.GPM_PCA.30.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Chain volume measures — Gross value added market sector — Original — Quarterly | ANA.M1.GVA_MKT.10.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Chain volume measures — Gross value added market sector — Seasonally Adjusted — Quarterly | ANA.M1.GVA_MKT.20.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Chain volume measures — Gross value added market sector — Trend — Quarterly | ANA.M1.GVA_MKT.30.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Chain volume measures — Net domestic product — Original — Quarterly | ANA.M1.NDP.10.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Chain volume measures — Net domestic product — Seasonally Adjusted — Quarterly | ANA.M1.NDP.20.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Chain volume measures — Net domestic product — Trend — Quarterly | ANA.M1.NDP.30.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Chain volume measures — Real net national disposable income — Original — Quarterly | ANA.M1.NNDI.10.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Chain volume measures — Real net national disposable income — Seasonally Adjusted — Quarterly | ANA.M1.NNDI.20.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Chain volume measures — Real net national disposable income — Trend — Quarterly | ANA.M1.NNDI.30.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Chain volume measures — Real net national disposable income per capita — Original — Quarterly | ANA.M1.NNDI_PCA.10.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Chain volume measures — Real net national disposable income per capita — Seasonally Adjusted — Quarterly | ANA.M1.NNDI_PCA.20.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Chain volume measures — Real net national disposable income per capita — Trend — Quarterly | ANA.M1.NNDI_PCA.30.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Chain volume measures — Real gross domestic income — Original — Quarterly | ANA.M1.RDI.10.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Chain volume measures — Real gross domestic income — Seasonally Adjusted — Quarterly | ANA.M1.RDI.20.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Chain volume measures — Real gross domestic income — Trend — Quarterly | ANA.M1.RDI.30.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Chain volume measures - Percentage changes — Gross national income — Original — Quarterly | ANA.M2.GNI.10.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Chain volume measures - Percentage changes — Gross national income — Seasonally Adjusted — Quarterly | ANA.M2.GNI.20.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Chain volume measures - Percentage changes — Gross national income — Trend — Quarterly | ANA.M2.GNI.30.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Chain volume measures - Percentage changes — Gross domestic product — Original — Quarterly | ANA.M2.GPM.10.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Chain volume measures - Percentage changes — Gross domestic product — Seasonally Adjusted — Quarterly | ANA.M2.GPM.20.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Chain volume measures - Percentage changes — Gross domestic product — Trend — Quarterly | ANA.M2.GPM.30.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Chain volume measures - Percentage changes — GDP per capita — Original — Quarterly | ANA.M2.GPM_PCA.10.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Chain volume measures - Percentage changes — GDP per capita — Seasonally Adjusted — Quarterly | ANA.M2.GPM_PCA.20.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Chain volume measures - Percentage changes — GDP per capita — Trend — Quarterly | ANA.M2.GPM_PCA.30.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Chain volume measures - Percentage changes — Gross value added market sector — Original — Quarterly | ANA.M2.GVA_MKT.10.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Chain volume measures - Percentage changes — Gross value added market sector — Seasonally Adjusted — Quarterly | ANA.M2.GVA_MKT.20.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Chain volume measures - Percentage changes — Gross value added market sector — Trend — Quarterly | ANA.M2.GVA_MKT.30.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Chain volume measures - Percentage changes — Net domestic product — Original — Quarterly | ANA.M2.NDP.10.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Chain volume measures - Percentage changes — Net domestic product — Seasonally Adjusted — Quarterly | ANA.M2.NDP.20.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Chain volume measures - Percentage changes — Net domestic product — Trend — Quarterly | ANA.M2.NDP.30.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Chain volume measures - Percentage changes — Real net national disposable income — Original — Quarterly | ANA.M2.NNDI.10.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Chain volume measures - Percentage changes — Real net national disposable income — Seasonally Adjusted — Quarterly | ANA.M2.NNDI.20.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Chain volume measures - Percentage changes — Real net national disposable income — Trend — Quarterly | ANA.M2.NNDI.30.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Chain volume measures - Percentage changes — Real net national disposable income per capita — Original — Quarterly | ANA.M2.NNDI_PCA.10.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Chain volume measures - Percentage changes — Real net national disposable income per capita — Seasonally Adjusted — Quarterly | ANA.M2.NNDI_PCA.20.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Chain volume measures - Percentage changes — Real net national disposable income per capita — Trend — Quarterly | ANA.M2.NNDI_PCA.30.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Chain volume measures - Percentage changes — Real gross domestic income — Original — Quarterly | ANA.M2.RDI.10.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Chain volume measures - Percentage changes — Real gross domestic income — Seasonally Adjusted — Quarterly | ANA.M2.RDI.20.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Chain volume measures - Percentage changes — Real gross domestic income — Trend — Quarterly | ANA.M2.RDI.30.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Current prices — Gross national income — Original — Quarterly | ANA.M3.GNI.10.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Current prices — Gross national income — Seasonally Adjusted — Quarterly | ANA.M3.GNI.20.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Current prices — Gross national income — Trend — Quarterly | ANA.M3.GNI.30.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Current prices — Gross domestic product — Original — Quarterly | ANA.M3.GPM.10.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Current prices — Gross domestic product — Seasonally Adjusted — Quarterly | ANA.M3.GPM.20.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Current prices — Gross domestic product — Trend — Quarterly | ANA.M3.GPM.30.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Current prices — GDP per capita — Original — Quarterly | ANA.M3.GPM_PCA.10.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Current prices — GDP per capita — Seasonally Adjusted — Quarterly | ANA.M3.GPM_PCA.20.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Current prices — GDP per capita — Trend — Quarterly | ANA.M3.GPM_PCA.30.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Current prices — Net saving — Original — Quarterly | ANA.M3.SAV.10.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Current prices — Net saving — Seasonally Adjusted — Quarterly | ANA.M3.SAV.20.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Current prices — Net saving — Trend — Quarterly | ANA.M3.SAV.30.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Current prices - Percentage Changes — Gross domestic product — Original — Quarterly | ANA.M4.GPM.10.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Current prices - Percentage Changes — Gross domestic product — Seasonally Adjusted — Quarterly | ANA.M4.GPM.20.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Current prices - Percentage Changes — Gross domestic product — Trend — Quarterly | ANA.M4.GPM.30.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Index — Domestic final demand — Original — Quarterly | ANA.M5.DFD.10.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Index — Domestic final demand — Seasonally Adjusted — Quarterly | ANA.M5.DFD.20.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Index — Gross domestic product — Original — Quarterly | ANA.M5.GPM.10.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Index — Gross domestic product — Seasonally Adjusted — Quarterly | ANA.M5.GPM.20.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Index — Hours worked — Original — Quarterly | ANA.M5.GPM_HRW.10.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Index — Hours worked — Seasonally Adjusted — Quarterly | ANA.M5.GPM_HRW.20.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Index — Hours worked — Trend — Quarterly | ANA.M5.GPM_HRW.30.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Index — Hours worked market sector — Original — Quarterly | ANA.M5.GPM_MKT_HRW.10.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Index — Hours worked market sector — Seasonally Adjusted — Quarterly | ANA.M5.GPM_MKT_HRW.20.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Index — Hours worked market sector — Trend — Quarterly | ANA.M5.GPM_MKT_HRW.30.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Index — GDP per hour worked — Original — Quarterly | ANA.M5.GPM_PHW.10.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Index — GDP per hour worked — Seasonally Adjusted — Quarterly | ANA.M5.GPM_PHW.20.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Index — GDP per hour worked — Trend — Quarterly | ANA.M5.GPM_PHW.30.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Index — Gross value added per hour worked market sector — Original — Quarterly | ANA.M5.GVA_MKT_PHW.10.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Index — Gross value added per hour worked market sector — Seasonally Adjusted — Quarterly | ANA.M5.GVA_MKT_PHW.20.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Index — Gross value added per hour worked market sector — Trend — Quarterly | ANA.M5.GVA_MKT_PHW.30.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Index — Real unit of labour costs — Trend — Quarterly | ANA.M5.RULC_LAB.30.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Index — Real unit of labour costs - Non-farm — Trend — Quarterly | ANA.M5.RULC_LAB_98.30.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Index — Terms of trade — Original — Quarterly | ANA.M5.TTR.10.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Index — Terms of trade — Seasonally Adjusted — Quarterly | ANA.M5.TTR.20.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Index — Terms of trade — Trend — Quarterly | ANA.M5.TTR.30.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Index - Percentage changes — Domestic final demand — Original — Quarterly | ANA.M6.DFD.10.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Index - Percentage changes — Domestic final demand — Seasonally Adjusted — Quarterly | ANA.M6.DFD.20.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Index - Percentage changes — Gross domestic product — Original — Quarterly | ANA.M6.GPM.10.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Index - Percentage changes — Gross domestic product — Seasonally Adjusted — Quarterly | ANA.M6.GPM.20.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Index - Percentage changes — Hours worked — Original — Quarterly | ANA.M6.GPM_HRW.10.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Index - Percentage changes — Hours worked — Seasonally Adjusted — Quarterly | ANA.M6.GPM_HRW.20.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Index - Percentage changes — Hours worked — Trend — Quarterly | ANA.M6.GPM_HRW.30.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Index - Percentage changes — Hours worked market sector — Original — Quarterly | ANA.M6.GPM_MKT_HRW.10.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Index - Percentage changes — Hours worked market sector — Seasonally Adjusted — Quarterly | ANA.M6.GPM_MKT_HRW.20.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Index - Percentage changes — Hours worked market sector — Trend — Quarterly | ANA.M6.GPM_MKT_HRW.30.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Index - Percentage changes — GDP per hour worked — Original — Quarterly | ANA.M6.GPM_PHW.10.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Index - Percentage changes — GDP per hour worked — Seasonally Adjusted — Quarterly | ANA.M6.GPM_PHW.20.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Index - Percentage changes — GDP per hour worked — Trend — Quarterly | ANA.M6.GPM_PHW.30.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Index - Percentage changes — Gross value added per hour worked market sector — Original — Quarterly | ANA.M6.GVA_MKT_PHW.10.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Index - Percentage changes — Gross value added per hour worked market sector — Seasonally Adjusted — Quarterly | ANA.M6.GVA_MKT_PHW.20.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Index - Percentage changes — Gross value added per hour worked market sector — Trend — Quarterly | ANA.M6.GVA_MKT_PHW.30.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Index - Percentage changes — Real unit of labour costs — Trend — Quarterly | ANA.M6.RULC_LAB.30.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Index - Percentage changes — Real unit of labour costs - Non-farm — Trend — Quarterly | ANA.M6.RULC_LAB_98.30.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Index - Percentage changes — Terms of trade — Original — Quarterly | ANA.M6.TTR.10.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Index - Percentage changes — Terms of trade — Seasonally Adjusted — Quarterly | ANA.M6.TTR.20.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Index - Percentage changes — Terms of trade — Trend — Quarterly | ANA.M6.TTR.30.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Ratio — Household saving ratio — Original — Quarterly | ANA.M7.HSR.10.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Ratio — Household saving ratio — Seasonally Adjusted — Quarterly | ANA.M7.HSR.20.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
| Ratio — Household saving ratio — Trend — Quarterly | ANA.M7.HSR.30.Q | — | As published by the ABS. The indicator code carries every series dimension except the region, so seasonally adjusted and original series stay distinct rather than overwriting one another. |
Central bank policy rates
Bank for International Settlements · BIS-TERMS · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Monthly | CBPOL.M | — | Policy rate as published by each central bank at month end, collected by the BIS. Where a central bank uses a corridor, the BIS records the main policy rate. Retrieved over the BIS SDMX API; note the euro area is reported as an aggregate (XM), not as a country. |
Harmonised inflation (HICP), annual rate of change
European Central Bank Data Portal · ECB-REUSE · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Monthly — Neither seasonally nor working day adjusted — HICP - Overall index — Eurostat — Annual rate of change | HICP.M.N.000000.4.ANR | — | HICP annual rate of change, neither seasonally adjusted nor working-day adjusted, all-items index. Retrieved over the ECB's SDMX API; the series key selects the annual-rate measure so the figures are directly comparable across reporting countries. |
Business demography by region and size class (NUTS 3)
Eurostat · EUROSTAT-REUSE · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Population of active enterprises in t - number | BD.V11910 | — | As published by Eurostat. The 28 measures on the indic_sb dimension and the four size classes are combined into the indicator code, because a birth count and a death count for the same region and year would otherwise share a key. The table stops in 2020; it is history rather than a live feed. |
| Births of enterprises in t - number | BD.V11920 | — | As published by Eurostat. The 28 measures on the indic_sb dimension and the four size classes are combined into the indicator code, because a birth count and a death count for the same region and year would otherwise share a key. The table stops in 2020; it is history rather than a live feed. |
| Deaths of enterprises in t - number | BD.V11930 | — | As published by Eurostat. The 28 measures on the indic_sb dimension and the four size classes are combined into the indicator code, because a birth count and a death count for the same region and year would otherwise share a key. The table stops in 2020; it is history rather than a live feed. |
| Enterprises newly born in t-3 having survived to t - number | BD.V11943 | — | As published by Eurostat. The 28 measures on the indic_sb dimension and the four size classes are combined into the indicator code, because a birth count and a death count for the same region and year would otherwise share a key. The table stops in 2020; it is history rather than a live feed. |
| Persons employed in the population of active enterprises in t - number | BD.V16910 | — | As published by Eurostat. The 28 measures on the indic_sb dimension and the four size classes are combined into the indicator code, because a birth count and a death count for the same region and year would otherwise share a key. The table stops in 2020; it is history rather than a live feed. |
| Employees in the population of active enterprises in t - number | BD.V16911 | — | As published by Eurostat. The 28 measures on the indic_sb dimension and the four size classes are combined into the indicator code, because a birth count and a death count for the same region and year would otherwise share a key. The table stops in 2020; it is history rather than a live feed. |
| Persons employed in the population of births in t - number | BD.V16920 | — | As published by Eurostat. The 28 measures on the indic_sb dimension and the four size classes are combined into the indicator code, because a birth count and a death count for the same region and year would otherwise share a key. The table stops in 2020; it is history rather than a live feed. |
| Employees in the population of births in t - number | BD.V16921 | — | As published by Eurostat. The 28 measures on the indic_sb dimension and the four size classes are combined into the indicator code, because a birth count and a death count for the same region and year would otherwise share a key. The table stops in 2020; it is history rather than a live feed. |
| Persons employed in the population of deaths in t - number | BD.V16930 | — | As published by Eurostat. The 28 measures on the indic_sb dimension and the four size classes are combined into the indicator code, because a birth count and a death count for the same region and year would otherwise share a key. The table stops in 2020; it is history rather than a live feed. |
| Employees in the population of deaths in t - number | BD.V16931 | — | As published by Eurostat. The 28 measures on the indic_sb dimension and the four size classes are combined into the indicator code, because a birth count and a death count for the same region and year would otherwise share a key. The table stops in 2020; it is history rather than a live feed. |
| Persons employed in the population of enterprises newly born in t-3 having survived to t - number | BD.V16943 | — | As published by Eurostat. The 28 measures on the indic_sb dimension and the four size classes are combined into the indicator code, because a birth count and a death count for the same region and year would otherwise share a key. The table stops in 2020; it is history rather than a live feed. |
| Persons employed in the year of birth in the population of enterprises newly born in t-3 having survived to t - number | BD.V16953 | — | As published by Eurostat. The 28 measures on the indic_sb dimension and the four size classes are combined into the indicator code, because a birth count and a death count for the same region and year would otherwise share a key. The table stops in 2020; it is history rather than a live feed. |
| Net business population growth - percentage | BD.V97010 | — | As published by Eurostat. The 28 measures on the indic_sb dimension and the four size classes are combined into the indicator code, because a birth count and a death count for the same region and year would otherwise share a key. The table stops in 2020; it is history rather than a live feed. |
| Business churn: birth rate + death rate - percentage | BD.V97015 | — | As published by Eurostat. The 28 measures on the indic_sb dimension and the four size classes are combined into the indicator code, because a birth count and a death count for the same region and year would otherwise share a key. The table stops in 2020; it is history rather than a live feed. |
| Birth rate: number of enterprise births in the reference period (t) divided by the number of enterprises active in t - percentage | BD.V97020 | — | As published by Eurostat. The 28 measures on the indic_sb dimension and the four size classes are combined into the indicator code, because a birth count and a death count for the same region and year would otherwise share a key. The table stops in 2020; it is history rather than a live feed. |
| Proportion of enterprise births in the reference period (t) by size class - percentage | BD.V97021 | — | As published by Eurostat. The 28 measures on the indic_sb dimension and the four size classes are combined into the indicator code, because a birth count and a death count for the same region and year would otherwise share a key. The table stops in 2020; it is history rather than a live feed. |
| Death rate: number of enterprise deaths in the reference period (t) divided by the number of enterprises active in t - percentage | BD.V97030 | — | As published by Eurostat. The 28 measures on the indic_sb dimension and the four size classes are combined into the indicator code, because a birth count and a death count for the same region and year would otherwise share a key. The table stops in 2020; it is history rather than a live feed. |
| Proportion of enterprise deaths in the reference period (t) by size class - percentage | BD.V97031 | — | As published by Eurostat. The 28 measures on the indic_sb dimension and the four size classes are combined into the indicator code, because a birth count and a death count for the same region and year would otherwise share a key. The table stops in 2020; it is history rather than a live feed. |
| Survival rate 3: number of enterprises in the reference period (t) newly born in t-3 having survived to t divided by the number of enterprise births in t-3 - percentage | BD.V97043 | — | As published by Eurostat. The 28 measures on the indic_sb dimension and the four size classes are combined into the indicator code, because a birth count and a death count for the same region and year would otherwise share a key. The table stops in 2020; it is history rather than a live feed. |
| 3 year old enterprises' share of the business population - percentage | BD.V97053 | — | As published by Eurostat. The 28 measures on the indic_sb dimension and the four size classes are combined into the indicator code, because a birth count and a death count for the same region and year would otherwise share a key. The table stops in 2020; it is history rather than a live feed. |
| Employment share of enterprise births: number of persons employed in the reference period (t) among enterprises newly born in t divided by the number of persons employed in t among the stock of enterprises active in t - percentage | BD.V97120 | — | As published by Eurostat. The 28 measures on the indic_sb dimension and the four size classes are combined into the indicator code, because a birth count and a death count for the same region and year would otherwise share a key. The table stops in 2020; it is history rather than a live feed. |
| Average size of newly born enterprises: number of persons employed in the reference period (t) among enterprises newly born in t divided by the number of enterprises newly born in t - number | BD.V97121 | — | As published by Eurostat. The 28 measures on the indic_sb dimension and the four size classes are combined into the indicator code, because a birth count and a death count for the same region and year would otherwise share a key. The table stops in 2020; it is history rather than a live feed. |
| New enterprise paid employment rate: number of employees in the reference period (t) among enterprises newly born in t divided by the number of persons employed in t among enterprises newly born in t - percentage | BD.V97122 | — | As published by Eurostat. The 28 measures on the indic_sb dimension and the four size classes are combined into the indicator code, because a birth count and a death count for the same region and year would otherwise share a key. The table stops in 2020; it is history rather than a live feed. |
| Employment share of enterprise deaths: number of persons employed in the reference period (t) among enterprise deaths divided by the number of persons employed in t among the stock of active enterprises in t - percentage | BD.V97130 | — | As published by Eurostat. The 28 measures on the indic_sb dimension and the four size classes are combined into the indicator code, because a birth count and a death count for the same region and year would otherwise share a key. The table stops in 2020; it is history rather than a live feed. |
| Average employment in enterprise deaths: number of persons employed in the reference period (t) among enterprise deaths in t divided by the number of enterprise deaths in t - number | BD.V97131 | — | As published by Eurostat. The 28 measures on the indic_sb dimension and the four size classes are combined into the indicator code, because a birth count and a death count for the same region and year would otherwise share a key. The table stops in 2020; it is history rather than a live feed. |
| Three-year old enterprises employment growth rate: number of persons employed in the reference period (t) among enterprises newly born in t-3 having survived to t divided by the number of persons employed in t-3 by the same enterprises, expressed as a percentage growth rate - percentage | BD.V97143 | — | As published by Eurostat. The 28 measures on the indic_sb dimension and the four size classes are combined into the indicator code, because a birth count and a death count for the same region and year would otherwise share a key. The table stops in 2020; it is history rather than a live feed. |
| Employment share of 3 year old enterprises: Number of persons employed in enterprises newly born in t-3 having survived to t, divided by the number of persons employed in the population of active enterprises in t - percentage | BD.V97153 | — | As published by Eurostat. The 28 measures on the indic_sb dimension and the four size classes are combined into the indicator code, because a birth count and a death count for the same region and year would otherwise share a key. The table stops in 2020; it is history rather than a live feed. |
| Average size of three-year old enterprises: number of persons employed in the reference period (t) among enterprises newly born in t-3 having survived to t divided by the number of enterprises in t newly born in t-3 having survived to t - number | BD.V97163 | — | As published by Eurostat. The 28 measures on the indic_sb dimension and the four size classes are combined into the indicator code, because a birth count and a death count for the same region and year would otherwise share a key. The table stops in 2020; it is history rather than a live feed. |
Commuting openness: does a region's workforce work in it?
Eurostat · EUROSTAT-REUSE · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Foreign country | COMMUTE.FOR | — | This is not a region-to-region matrix and should not be described as one: Eurostat's dissemination API publishes the destination as four categories, not as a named region, so it can say a quarter of a region's workers leave it and not where they go. What it does give directly is the openness measure that determines how much of a local labour demand shock stays local - the variable Monte, Redding and Rossi-Hansberg show is missing from most estimates of local multipliers. |
| In the same region | COMMUTE.INR | — | This is not a region-to-region matrix and should not be described as one: Eurostat's dissemination API publishes the destination as four categories, not as a named region, so it can say a quarter of a region's workers leave it and not where they go. What it does give directly is the openness measure that determines how much of a local labour demand shock stays local - the variable Monte, Redding and Rossi-Hansberg show is missing from most estimates of local multipliers. |
| No response | COMMUTE.NRP | — | This is not a region-to-region matrix and should not be described as one: Eurostat's dissemination API publishes the destination as four categories, not as a named region, so it can say a quarter of a region's workers leave it and not where they go. What it does give directly is the openness measure that determines how much of a local labour demand shock stays local - the variable Monte, Redding and Rossi-Hansberg show is missing from most estimates of local multipliers. |
| In another region | COMMUTE.OUTR | — | This is not a region-to-region matrix and should not be described as one: Eurostat's dissemination API publishes the destination as four categories, not as a named region, so it can say a quarter of a region's workers leave it and not where they go. What it does give directly is the openness measure that determines how much of a local labour demand shock stays local - the variable Monte, Redding and Rossi-Hansberg show is missing from most estimates of local multipliers. |
Energy import dependency
Eurostat · EUROSTAT-REUSE · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Solid fossil fuels | NRGDEP.C0000X0350-0370 | — | Net imports divided by gross available energy, per cent. A value above 100 means the country imported more than it consumed in the period, building stocks; a negative value means it is a net exporter. Each fuel on the siec dimension is stored as its own indicator. |
| Anthracite | NRGDEP.C0110 | — | Net imports divided by gross available energy, per cent. A value above 100 means the country imported more than it consumed in the period, building stocks; a negative value means it is a net exporter. Each fuel on the siec dimension is stored as its own indicator. |
| Coking coal | NRGDEP.C0121 | — | Net imports divided by gross available energy, per cent. A value above 100 means the country imported more than it consumed in the period, building stocks; a negative value means it is a net exporter. Each fuel on the siec dimension is stored as its own indicator. |
| Other bituminous coal | NRGDEP.C0129 | — | Net imports divided by gross available energy, per cent. A value above 100 means the country imported more than it consumed in the period, building stocks; a negative value means it is a net exporter. Each fuel on the siec dimension is stored as its own indicator. |
| Sub-bituminous coal | NRGDEP.C0210 | — | Net imports divided by gross available energy, per cent. A value above 100 means the country imported more than it consumed in the period, building stocks; a negative value means it is a net exporter. Each fuel on the siec dimension is stored as its own indicator. |
| Lignite | NRGDEP.C0220 | — | Net imports divided by gross available energy, per cent. A value above 100 means the country imported more than it consumed in the period, building stocks; a negative value means it is a net exporter. Each fuel on the siec dimension is stored as its own indicator. |
| Natural gas | NRGDEP.G3000 | — | Net imports divided by gross available energy, per cent. A value above 100 means the country imported more than it consumed in the period, building stocks; a negative value means it is a net exporter. Each fuel on the siec dimension is stored as its own indicator. |
| Oil and petroleum products (excluding biofuel portion) | NRGDEP.O4000XBIO | — | Net imports divided by gross available energy, per cent. A value above 100 means the country imported more than it consumed in the period, building stocks; a negative value means it is a net exporter. Each fuel on the siec dimension is stored as its own indicator. |
| Crude oil | NRGDEP.O4100_TOT | — | Net imports divided by gross available energy, per cent. A value above 100 means the country imported more than it consumed in the period, building stocks; a negative value means it is a net exporter. Each fuel on the siec dimension is stored as its own indicator. |
| Natural gas liquids | NRGDEP.O4200 | — | Net imports divided by gross available energy, per cent. A value above 100 means the country imported more than it consumed in the period, building stocks; a negative value means it is a net exporter. Each fuel on the siec dimension is stored as its own indicator. |
| Peat | NRGDEP.P1100 | — | Net imports divided by gross available energy, per cent. A value above 100 means the country imported more than it consumed in the period, building stocks; a negative value means it is a net exporter. Each fuel on the siec dimension is stored as its own indicator. |
| Oil shale and oil sands | NRGDEP.S2000 | — | Net imports divided by gross available energy, per cent. A value above 100 means the country imported more than it consumed in the period, building stocks; a negative value means it is a net exporter. Each fuel on the siec dimension is stored as its own indicator. |
| Total | NRGDEP.TOTAL | — | Net imports divided by gross available energy, per cent. A value above 100 means the country imported more than it consumed in the period, building stocks; a negative value means it is a net exporter. Each fuel on the siec dimension is stored as its own indicator. |
Gross exports, country to country (FIGARO)
Eurostat · EUROSTAT-REUSE · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| FIGARO.GROSS_EXP | FIGARO.GROSS_EXP | — | All industries (nace_r2 TOTAL), millions of euro. Gross exports count the full value crossing the border, which means an input that crosses three borders before final assembly is counted three times. That double counting is not an error in the data - it is what gross trade measures - and it is the reason the value-added table exists beside this one. |
Domestic value added in exports, country to country (FIGARO)
Eurostat · EUROSTAT-REUSE · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| FIGARO.DVA_EXP | FIGARO.DVA_EXP | — | All industries (nace_r2 TOTAL), thousands of euro. NOTE THE UNIT - the gross table is in millions and this one in thousands, as published; comparing the two without converting is wrong by a factor of a thousand. Domestic value added is derived by Eurostat from the FIGARO inter-country input-output tables, tracing which country's labour and capital earned the income embodied in a shipment. It removes the double counting that gross trade contains, and the gap between the two is the foreign content of exports. |
GDP and main national accounts aggregates (Eurostat)
Eurostat · EUROSTAT-REUSE · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| NAMA_10_GDP.B1GQ.CP_MEUR | NAMA_10_GDP.B1GQ.CP_MEUR | — | ESA 2010 national accounts. Values in current prices, million euro. |
EU trade in mineral fuels, by partner
Eurostat · EUROSTAT-REUSE · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Trade balance in million ECU/EURO | MINFUEL.MIO_BAL_VAL | — | As for the raw-materials table: values in millions of euro, five measures kept as separate indicators, partner groupings stored as aggregates. |
| Exports in million of ECU/EURO | MINFUEL.MIO_EXP_VAL | — | As for the raw-materials table: values in millions of euro, five measures kept as separate indicators, partner groupings stored as aggregates. |
| Imports in million of ECU/EURO | MINFUEL.MIO_IMP_VAL | — | As for the raw-materials table: values in millions of euro, five measures kept as separate indicators, partner groupings stored as aggregates. |
| Share of exports by partner (%) | MINFUEL.PC_EXP_PART | — | As for the raw-materials table: values in millions of euro, five measures kept as separate indicators, partner groupings stored as aggregates. |
| Share of imports by partner (%) | MINFUEL.PC_IMP_PART | — | As for the raw-materials table: values in millions of euro, five measures kept as separate indicators, partner groupings stored as aggregates. |
EU trade in raw materials, by partner
Eurostat · EUROSTAT-REUSE · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Trade balance in million ECU/EURO | RAWMAT.MIO_BAL_VAL | — | From Eurostat's international trade in goods statistics. Values in millions of euro; the shares are each partner's percentage of extra-EU trade in these goods. The five measures on the cube's indic_et dimension - exports, imports, balance and the two shares - are stored as separate indicators, because they share a reporter, partner and period and would otherwise overwrite one another. Many partners are groupings (Asia, USMCA, Extra-EU27) rather than countries; they are stored as aggregates. |
| Exports in million of ECU/EURO | RAWMAT.MIO_EXP_VAL | — | From Eurostat's international trade in goods statistics. Values in millions of euro; the shares are each partner's percentage of extra-EU trade in these goods. The five measures on the cube's indic_et dimension - exports, imports, balance and the two shares - are stored as separate indicators, because they share a reporter, partner and period and would otherwise overwrite one another. Many partners are groupings (Asia, USMCA, Extra-EU27) rather than countries; they are stored as aggregates. |
| Imports in million of ECU/EURO | RAWMAT.MIO_IMP_VAL | — | From Eurostat's international trade in goods statistics. Values in millions of euro; the shares are each partner's percentage of extra-EU trade in these goods. The five measures on the cube's indic_et dimension - exports, imports, balance and the two shares - are stored as separate indicators, because they share a reporter, partner and period and would otherwise overwrite one another. Many partners are groupings (Asia, USMCA, Extra-EU27) rather than countries; they are stored as aggregates. |
| Share of exports by partner (%) | RAWMAT.PC_EXP_PART | — | From Eurostat's international trade in goods statistics. Values in millions of euro; the shares are each partner's percentage of extra-EU trade in these goods. The five measures on the cube's indic_et dimension - exports, imports, balance and the two shares - are stored as separate indicators, because they share a reporter, partner and period and would otherwise overwrite one another. Many partners are groupings (Asia, USMCA, Extra-EU27) rather than countries; they are stored as aggregates. |
| Share of imports by partner (%) | RAWMAT.PC_IMP_PART | — | From Eurostat's international trade in goods statistics. Values in millions of euro; the shares are each partner's percentage of extra-EU trade in these goods. The five measures on the cube's indic_et dimension - exports, imports, balance and the two shares - are stored as separate indicators, because they share a reporter, partner and period and would otherwise overwrite one another. Many partners are groupings (Asia, USMCA, Extra-EU27) rather than countries; they are stored as aggregates. |
Regional GDP at NUTS-2 level (Eurostat)
Eurostat · EUROSTAT-REUSE · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Euro per inhabitant | NAMA_10R_2GDP.EUR_HAB | — | ESA 2010 regional accounts at NUTS-2, carried as totals in million euro and per head in euro and in purchasing power standards. Without the per-head units a ranking of regions is a ranking of their size. |
| Million euro | NAMA_10R_2GDP.MIO_EUR | — | ESA 2010 regional accounts at NUTS-2, carried as totals in million euro and per head in euro and in purchasing power standards. Without the per-head units a ranking of regions is a ranking of their size. |
| Purchasing power standard (PPS, EU27 from 2020), per inhabitant | NAMA_10R_2GDP.PPS_EU27_2020_HAB | — | ESA 2010 regional accounts at NUTS-2, carried as totals in million euro and per head in euro and in purchasing power standards. Without the per-head units a ranking of regions is a ranking of their size. |
Regional population: the denominator every regional ratio needs
Eurostat · EUROSTAT-REUSE · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| NAMA_10R_3POPGDP | NAMA_10R_3POPGDP | — | Without this series no regional figure on this platform could be put on a per-head basis, so a large region and a rich one looked alike in every ranking. Eurostat publishes the GDP denominator separately from GDP precisely because the two are compiled on different bases; using resident population instead would give slightly different ratios from Eurostat's own published per-head figures. |
Fertilizer use: where the potash and phosphate actually go
FAOSTAT · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Nutrient nitrogen N (total) — Agricultural Use | FAO.3102.5157 | t | Measured in nutrient content, not product weight, which is why the numbers are smaller than tonnages of the mined rock: potash ore becomes K2O, phosphate rock becomes P2O5, and the conversion differs by grade. FAO mixes its regional aggregates into the same column as countries — World, Africa, and constructions like 'Africa (excluding intra-trade)' — and reserves area codes of 5000 and above for them, so the rule here is the code rather than a list of names. FAO's own 'China' is one of those aggregates, covering the mainland together with Taiwan, Hong Kong and Macao; the mainland is reported separately and is what appears here. |
| Nutrient phosphate P2O5 (total) — Agricultural Use | FAO.3103.5157 | t | Measured in nutrient content, not product weight, which is why the numbers are smaller than tonnages of the mined rock: potash ore becomes K2O, phosphate rock becomes P2O5, and the conversion differs by grade. FAO mixes its regional aggregates into the same column as countries — World, Africa, and constructions like 'Africa (excluding intra-trade)' — and reserves area codes of 5000 and above for them, so the rule here is the code rather than a list of names. FAO's own 'China' is one of those aggregates, covering the mainland together with Taiwan, Hong Kong and Macao; the mainland is reported separately and is what appears here. |
| Nutrient potash K2O (total) — Agricultural Use | FAO.3104.5157 | t | Measured in nutrient content, not product weight, which is why the numbers are smaller than tonnages of the mined rock: potash ore becomes K2O, phosphate rock becomes P2O5, and the conversion differs by grade. FAO mixes its regional aggregates into the same column as countries — World, Africa, and constructions like 'Africa (excluding intra-trade)' — and reserves area codes of 5000 and above for them, so the rule here is the code rather than a list of names. FAO's own 'China' is one of those aggregates, covering the mainland together with Taiwan, Hong Kong and Macao; the mainland is reported separately and is what appears here. |
Fertilizer trade: who ships the potash, and to whom
FAOSTAT · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Nutrient nitrogen N (total) — Import quantity | FAOTM.3102.5610 | t | Import and export quantities are both kept, and they are not duplicates: an import reported by the buyer and the matching export reported by the seller are two countries' separate statements about the same shipment, and where they disagree that disagreement is itself the finding. Neither is averaged into the other. Measured in nutrient content rather than product weight, so the figures are directly comparable with the fertilizer use table but smaller than the tonnage of physical urea or muriate of potash that crossed the border. The nutrient totals are used rather than the individual products, which keeps a country's imports on the same scale as its consumption. This file, unusually for FAO, carries no regional aggregates in either the reporter or the partner column; the check that would remove them still runs, because a partner aggregate sums to the same total as every real partner combined and would halve any concentration measure it touched. Two FAO areas are deliberately left out: 'Sudan (former)' and 'Ethiopia PDR' each cover a country together with one that has since separated from it, and ISO issues no code for either, so folding them into Sudan or Ethiopia would move a larger country's trade into a smaller one's series. |
| Nutrient nitrogen N (total) — Export quantity | FAOTM.3102.5910 | t | Import and export quantities are both kept, and they are not duplicates: an import reported by the buyer and the matching export reported by the seller are two countries' separate statements about the same shipment, and where they disagree that disagreement is itself the finding. Neither is averaged into the other. Measured in nutrient content rather than product weight, so the figures are directly comparable with the fertilizer use table but smaller than the tonnage of physical urea or muriate of potash that crossed the border. The nutrient totals are used rather than the individual products, which keeps a country's imports on the same scale as its consumption. This file, unusually for FAO, carries no regional aggregates in either the reporter or the partner column; the check that would remove them still runs, because a partner aggregate sums to the same total as every real partner combined and would halve any concentration measure it touched. Two FAO areas are deliberately left out: 'Sudan (former)' and 'Ethiopia PDR' each cover a country together with one that has since separated from it, and ISO issues no code for either, so folding them into Sudan or Ethiopia would move a larger country's trade into a smaller one's series. |
| Nutrient phosphate P2O5 (total) — Import quantity | FAOTM.3103.5610 | t | Import and export quantities are both kept, and they are not duplicates: an import reported by the buyer and the matching export reported by the seller are two countries' separate statements about the same shipment, and where they disagree that disagreement is itself the finding. Neither is averaged into the other. Measured in nutrient content rather than product weight, so the figures are directly comparable with the fertilizer use table but smaller than the tonnage of physical urea or muriate of potash that crossed the border. The nutrient totals are used rather than the individual products, which keeps a country's imports on the same scale as its consumption. This file, unusually for FAO, carries no regional aggregates in either the reporter or the partner column; the check that would remove them still runs, because a partner aggregate sums to the same total as every real partner combined and would halve any concentration measure it touched. Two FAO areas are deliberately left out: 'Sudan (former)' and 'Ethiopia PDR' each cover a country together with one that has since separated from it, and ISO issues no code for either, so folding them into Sudan or Ethiopia would move a larger country's trade into a smaller one's series. |
| Nutrient phosphate P2O5 (total) — Export quantity | FAOTM.3103.5910 | t | Import and export quantities are both kept, and they are not duplicates: an import reported by the buyer and the matching export reported by the seller are two countries' separate statements about the same shipment, and where they disagree that disagreement is itself the finding. Neither is averaged into the other. Measured in nutrient content rather than product weight, so the figures are directly comparable with the fertilizer use table but smaller than the tonnage of physical urea or muriate of potash that crossed the border. The nutrient totals are used rather than the individual products, which keeps a country's imports on the same scale as its consumption. This file, unusually for FAO, carries no regional aggregates in either the reporter or the partner column; the check that would remove them still runs, because a partner aggregate sums to the same total as every real partner combined and would halve any concentration measure it touched. Two FAO areas are deliberately left out: 'Sudan (former)' and 'Ethiopia PDR' each cover a country together with one that has since separated from it, and ISO issues no code for either, so folding them into Sudan or Ethiopia would move a larger country's trade into a smaller one's series. |
| Nutrient potash K2O (total) — Import quantity | FAOTM.3104.5610 | t | Import and export quantities are both kept, and they are not duplicates: an import reported by the buyer and the matching export reported by the seller are two countries' separate statements about the same shipment, and where they disagree that disagreement is itself the finding. Neither is averaged into the other. Measured in nutrient content rather than product weight, so the figures are directly comparable with the fertilizer use table but smaller than the tonnage of physical urea or muriate of potash that crossed the border. The nutrient totals are used rather than the individual products, which keeps a country's imports on the same scale as its consumption. This file, unusually for FAO, carries no regional aggregates in either the reporter or the partner column; the check that would remove them still runs, because a partner aggregate sums to the same total as every real partner combined and would halve any concentration measure it touched. Two FAO areas are deliberately left out: 'Sudan (former)' and 'Ethiopia PDR' each cover a country together with one that has since separated from it, and ISO issues no code for either, so folding them into Sudan or Ethiopia would move a larger country's trade into a smaller one's series. |
| Nutrient potash K2O (total) — Export quantity | FAOTM.3104.5910 | t | Import and export quantities are both kept, and they are not duplicates: an import reported by the buyer and the matching export reported by the seller are two countries' separate statements about the same shipment, and where they disagree that disagreement is itself the finding. Neither is averaged into the other. Measured in nutrient content rather than product weight, so the figures are directly comparable with the fertilizer use table but smaller than the tonnage of physical urea or muriate of potash that crossed the border. The nutrient totals are used rather than the individual products, which keeps a country's imports on the same scale as its consumption. This file, unusually for FAO, carries no regional aggregates in either the reporter or the partner column; the check that would remove them still runs, because a partner aggregate sums to the same total as every real partner combined and would halve any concentration measure it touched. Two FAO areas are deliberately left out: 'Sudan (former)' and 'Ethiopia PDR' each cover a country together with one that has since separated from it, and ISO issues no code for either, so folding them into Sudan or Ethiopia would move a larger country's trade into a smaller one's series. |
Labour markets: participation, employment and informality
ILOSTAT · UN-AGENCY-NC · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Annual — Labour force participation rate (ILO modelled estimates) — Total — 15+ | ILO.A.EAP_2WAP_RT.SEX_T.AGE_YTHADULT_YGE15 | — | These are modelled estimates, not measurements. The ILO fills gaps between labour force surveys with a model, which is why coverage looks complete where the underlying surveys are not — the same caution that applies to the World Bank's net migration series. Informality is the series worth reading first: in much of the world most work is informal, and an unemployment rate computed against a formal labour market describes a small part of how people actually earn. |
Merchandise trade by partner country
IMF International Trade in Goods · PROVIDER-TERMS-RESTRICTED · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Imports of goods, Cost insurance freight (CIF), US dollar — Annual | IMTS.MG_CIF_USD.A | — | As reported to the IMF by each country. Exports are free on board and imports cost, insurance and freight, so a flow measured from the two ends does not match - the difference is freight and insurance, not an error. Counterpart codes are ISO-3 and join directly to the areas here. Loaded for every reporter in the IMF codelist, in batches, because a single whole-world request is large enough to time out. |
| Exports of goods, Free on board (FOB), US dollar — Annual | IMTS.XG_FOB_USD.A | — | As reported to the IMF by each country. Exports are free on board and imports cost, insurance and freight, so a flow measured from the two ends does not match - the difference is freight and insurance, not an error. Counterpart codes are ISO-3 and join directly to the areas here. Loaded for every reporter in the IMF codelist, in batches, because a single whole-world request is large enough to time out. |
Commodity prices: what copper, potash and the rest are worth
IMF Primary Commodity Price System · PROVIDER-TERMS-RESTRICTED · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Aluminum, world price | PCPS.PALUM | USD | The IMF publishes each series four ways: the price in dollars, an index, and two percentage changes. Only the dollar price is stored, because the other three are derived from it and a chart can recompute them. These are world benchmarks, not what any particular mine received: a producer selling on a long-term contract may never see the spot price, and for minerals with no exchange listing the benchmark is an assessed rather than a traded number. |
| Cobalt, world price | PCPS.PCOBA | USD | The IMF publishes each series four ways: the price in dollars, an index, and two percentage changes. Only the dollar price is stored, because the other three are derived from it and a chart can recompute them. These are world benchmarks, not what any particular mine received: a producer selling on a long-term contract may never see the spot price, and for minerals with no exchange listing the benchmark is an assessed rather than a traded number. |
| Copper, world price | PCPS.PCOPP | USD | The IMF publishes each series four ways: the price in dollars, an index, and two percentage changes. Only the dollar price is stored, because the other three are derived from it and a chart can recompute them. These are world benchmarks, not what any particular mine received: a producer selling on a long-term contract may never see the spot price, and for minerals with no exchange listing the benchmark is an assessed rather than a traded number. |
| Diammonium phosphate, world price | PCPS.PDAP | USD | The IMF publishes each series four ways: the price in dollars, an index, and two percentage changes. Only the dollar price is stored, because the other three are derived from it and a chart can recompute them. These are world benchmarks, not what any particular mine received: a producer selling on a long-term contract may never see the spot price, and for minerals with no exchange listing the benchmark is an assessed rather than a traded number. |
| Gold, world price | PCPS.PGOLD | USD | The IMF publishes each series four ways: the price in dollars, an index, and two percentage changes. Only the dollar price is stored, because the other three are derived from it and a chart can recompute them. These are world benchmarks, not what any particular mine received: a producer selling on a long-term contract may never see the spot price, and for minerals with no exchange listing the benchmark is an assessed rather than a traded number. |
| Iron ore, world price | PCPS.PIORECR | USD | The IMF publishes each series four ways: the price in dollars, an index, and two percentage changes. Only the dollar price is stored, because the other three are derived from it and a chart can recompute them. These are world benchmarks, not what any particular mine received: a producer selling on a long-term contract may never see the spot price, and for minerals with no exchange listing the benchmark is an assessed rather than a traded number. |
| Lead, world price | PCPS.PLEAD | USD | The IMF publishes each series four ways: the price in dollars, an index, and two percentage changes. Only the dollar price is stored, because the other three are derived from it and a chart can recompute them. These are world benchmarks, not what any particular mine received: a producer selling on a long-term contract may never see the spot price, and for minerals with no exchange listing the benchmark is an assessed rather than a traded number. |
| Lithium, world price | PCPS.PLITH | USD | The IMF publishes each series four ways: the price in dollars, an index, and two percentage changes. Only the dollar price is stored, because the other three are derived from it and a chart can recompute them. These are world benchmarks, not what any particular mine received: a producer selling on a long-term contract may never see the spot price, and for minerals with no exchange listing the benchmark is an assessed rather than a traded number. |
| Nickel, world price | PCPS.PNICK | USD | The IMF publishes each series four ways: the price in dollars, an index, and two percentage changes. Only the dollar price is stored, because the other three are derived from it and a chart can recompute them. These are world benchmarks, not what any particular mine received: a producer selling on a long-term contract may never see the spot price, and for minerals with no exchange listing the benchmark is an assessed rather than a traded number. |
| Platinum, world price | PCPS.PPLAT | USD | The IMF publishes each series four ways: the price in dollars, an index, and two percentage changes. Only the dollar price is stored, because the other three are derived from it and a chart can recompute them. These are world benchmarks, not what any particular mine received: a producer selling on a long-term contract may never see the spot price, and for minerals with no exchange listing the benchmark is an assessed rather than a traded number. |
| Potassium fertilizer, world price | PCPS.PPOTASH | USD | The IMF publishes each series four ways: the price in dollars, an index, and two percentage changes. Only the dollar price is stored, because the other three are derived from it and a chart can recompute them. These are world benchmarks, not what any particular mine received: a producer selling on a long-term contract may never see the spot price, and for minerals with no exchange listing the benchmark is an assessed rather than a traded number. |
| Silver, world price | PCPS.PSILVER | USD | The IMF publishes each series four ways: the price in dollars, an index, and two percentage changes. Only the dollar price is stored, because the other three are derived from it and a chart can recompute them. These are world benchmarks, not what any particular mine received: a producer selling on a long-term contract may never see the spot price, and for minerals with no exchange listing the benchmark is an assessed rather than a traded number. |
| Tin, world price | PCPS.PTIN | USD | The IMF publishes each series four ways: the price in dollars, an index, and two percentage changes. Only the dollar price is stored, because the other three are derived from it and a chart can recompute them. These are world benchmarks, not what any particular mine received: a producer selling on a long-term contract may never see the spot price, and for minerals with no exchange listing the benchmark is an assessed rather than a traded number. |
| Urea, world price | PCPS.PUREA | USD | The IMF publishes each series four ways: the price in dollars, an index, and two percentage changes. Only the dollar price is stored, because the other three are derived from it and a chart can recompute them. These are world benchmarks, not what any particular mine received: a producer selling on a long-term contract may never see the spot price, and for minerals with no exchange listing the benchmark is an assessed rather than a traded number. |
| Zinc, world price | PCPS.PZINC | USD | The IMF publishes each series four ways: the price in dollars, an index, and two percentage changes. Only the dollar price is stored, because the other three are derived from it and a chart can recompute them. These are world benchmarks, not what any particular mine received: a producer selling on a long-term contract may never see the spot price, and for minerals with no exchange listing the benchmark is an assessed rather than a traded number. |
Direct investment positions: who owns what, and where it came from
IMF CDIS and CPIS · PROVIDER-TERMS-RESTRICTED · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Inward direct investment position, net | DIP.INWD_D_NETLA_FALL_FE | USD | The IMF publishes mirror statistics here: a reporter-counterpart pair can appear twice, once as the reporter stated it and once derived from what the counterpart stated. In a single year 3,113 pairs carry both. Only the reporter's own figure is stored. The mirror is not averaged in, because a country's statement of its own position is a different claim from its partner's and combining them produces neither — and where the two disagree, that disagreement is itself the finding. Note also that a net position can be negative, which is not an error: it means the reported liabilities are smaller than the assets on the same relationship. |
| Outward direct investment position, net | DIP.OTWD_D_NETAL_FALL_FE | USD | The IMF publishes mirror statistics here: a reporter-counterpart pair can appear twice, once as the reporter stated it and once derived from what the counterpart stated. In a single year 3,113 pairs carry both. Only the reporter's own figure is stored. The mirror is not averaged in, because a country's statement of its own position is a different claim from its partner's and combining them produces neither — and where the two disagree, that disagreement is itself the finding. Note also that a net position can be negative, which is not an error: it means the reported liabilities are smaller than the assets on the same relationship. |
Maritime chokepoints: daily transits and cargo capacity
IMF PortWatch · PROVIDER-TERMS-RESTRICTED · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| No indicators loaded yet. | |||
Corporate R&D investment by country of headquarters (EU Scoreboard)
EU Industrial R&D Investment Scoreboard · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Capital expenditure of Scoreboard companies headquartered here | capital-expenditure | EUR | IMPORTANT: this is not a country's business R&D. A company is counted in the country where it is headquartered, not where the research is performed, so a multinational's global R&D lands entirely on one country. It is not comparable to BERD or to Frascati-based official statistics. Only additive quantities are summed - euro amounts, employees and the company count. Growth rates and intensities are not averaged across companies, because the mean of a ratio is not the ratio of the sums; R&D intensity is recomputed from the summed R&D and the summed sales. |
| Scoreboard companies headquartered here | companies | companies | IMPORTANT: this is not a country's business R&D. A company is counted in the country where it is headquartered, not where the research is performed, so a multinational's global R&D lands entirely on one country. It is not comparable to BERD or to Frascati-based official statistics. Only additive quantities are summed - euro amounts, employees and the company count. Growth rates and intensities are not averaged across companies, because the mean of a ratio is not the ratio of the sums; R&D intensity is recomputed from the summed R&D and the summed sales. |
| Employees of Scoreboard companies headquartered here | employees | persons | IMPORTANT: this is not a country's business R&D. A company is counted in the country where it is headquartered, not where the research is performed, so a multinational's global R&D lands entirely on one country. It is not comparable to BERD or to Frascati-based official statistics. Only additive quantities are summed - euro amounts, employees and the company count. Growth rates and intensities are not averaged across companies, because the mean of a ratio is not the ratio of the sums; R&D intensity is recomputed from the summed R&D and the summed sales. |
| Market capitalisation of Scoreboard companies headquartered here | market-capitalisation | EUR | IMPORTANT: this is not a country's business R&D. A company is counted in the country where it is headquartered, not where the research is performed, so a multinational's global R&D lands entirely on one country. It is not comparable to BERD or to Frascati-based official statistics. Only additive quantities are summed - euro amounts, employees and the company count. Growth rates and intensities are not averaged across companies, because the mean of a ratio is not the ratio of the sums; R&D intensity is recomputed from the summed R&D and the summed sales. |
| Net sales of Scoreboard companies headquartered here | net-sales | EUR | IMPORTANT: this is not a country's business R&D. A company is counted in the country where it is headquartered, not where the research is performed, so a multinational's global R&D lands entirely on one country. It is not comparable to BERD or to Frascati-based official statistics. Only additive quantities are summed - euro amounts, employees and the company count. Growth rates and intensities are not averaged across companies, because the mean of a ratio is not the ratio of the sums; R&D intensity is recomputed from the summed R&D and the summed sales. |
| Profits of Scoreboard companies headquartered here | profits | EUR | IMPORTANT: this is not a country's business R&D. A company is counted in the country where it is headquartered, not where the research is performed, so a multinational's global R&D lands entirely on one country. It is not comparable to BERD or to Frascati-based official statistics. Only additive quantities are summed - euro amounts, employees and the company count. Growth rates and intensities are not averaged across companies, because the mean of a ratio is not the ratio of the sums; R&D intensity is recomputed from the summed R&D and the summed sales. |
| R&D intensity of Scoreboard companies headquartered here | rd-intensity | % of net sales | IMPORTANT: this is not a country's business R&D. A company is counted in the country where it is headquartered, not where the research is performed, so a multinational's global R&D lands entirely on one country. It is not comparable to BERD or to Frascati-based official statistics. Only additive quantities are summed - euro amounts, employees and the company count. Growth rates and intensities are not averaged across companies, because the mean of a ratio is not the ratio of the sums; R&D intensity is recomputed from the summed R&D and the summed sales. |
| R&D investment of Scoreboard companies headquartered here | rd-investment | EUR | IMPORTANT: this is not a country's business R&D. A company is counted in the country where it is headquartered, not where the research is performed, so a multinational's global R&D lands entirely on one country. It is not comparable to BERD or to Frascati-based official statistics. Only additive quantities are summed - euro amounts, employees and the company count. Growth rates and intensities are not averaged across companies, because the mean of a ratio is not the ratio of the sums; R&D intensity is recomputed from the summed R&D and the summed sales. |
Export destination concentration: Gini, HHI and entropy
Mondo derived indicators · MONDO-OWN-CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Shannon entropy of destination shares | dest.entropy | nats | Computed in app/services/network.py from the bilateral trade already on this site, for every reporting economy rather than one region. For each exporter and year, shares are taken over destinations, self-trade and aggregate counterparts removed, and countries with fewer than five destinations dropped because every index is noise on a handful of partners. HHI is the sum of squared shares on a 0-10,000 scale and is dominated by the largest partner; it also falls mechanically as partners are added, so a normalised form is given beside it. Entropy is Shannon's, in nats, weighting the tail far more generously; entropy_norm divides by ln(n). Gini measures inequality across destinations rather than dominance of the largest. Read all three: where they disagree is where the interesting structure is. |
| Entropy, normalised for the number of destinations | dest.entropy_norm | 0-1 | Computed in app/services/network.py from the bilateral trade already on this site, for every reporting economy rather than one region. For each exporter and year, shares are taken over destinations, self-trade and aggregate counterparts removed, and countries with fewer than five destinations dropped because every index is noise on a handful of partners. HHI is the sum of squared shares on a 0-10,000 scale and is dominated by the largest partner; it also falls mechanically as partners are added, so a normalised form is given beside it. Entropy is Shannon's, in nats, weighting the tail far more generously; entropy_norm divides by ln(n). Gini measures inequality across destinations rather than dominance of the largest. Read all three: where they disagree is where the interesting structure is. |
| Gini coefficient across destinations | dest.gini | 0-1 | Computed in app/services/network.py from the bilateral trade already on this site, for every reporting economy rather than one region. For each exporter and year, shares are taken over destinations, self-trade and aggregate counterparts removed, and countries with fewer than five destinations dropped because every index is noise on a handful of partners. HHI is the sum of squared shares on a 0-10,000 scale and is dominated by the largest partner; it also falls mechanically as partners are added, so a normalised form is given beside it. Entropy is Shannon's, in nats, weighting the tail far more generously; entropy_norm divides by ln(n). Gini measures inequality across destinations rather than dominance of the largest. Read all three: where they disagree is where the interesting structure is. |
| Herfindahl-Hirschman index of destination shares | dest.hhi | index, 0-10000 | Computed in app/services/network.py from the bilateral trade already on this site, for every reporting economy rather than one region. For each exporter and year, shares are taken over destinations, self-trade and aggregate counterparts removed, and countries with fewer than five destinations dropped because every index is noise on a handful of partners. HHI is the sum of squared shares on a 0-10,000 scale and is dominated by the largest partner; it also falls mechanically as partners are added, so a normalised form is given beside it. Entropy is Shannon's, in nats, weighting the tail far more generously; entropy_norm divides by ln(n). Gini measures inequality across destinations rather than dominance of the largest. Read all three: where they disagree is where the interesting structure is. |
| HHI, normalised for the number of destinations | dest.hhi_normalised | 0-1 | Computed in app/services/network.py from the bilateral trade already on this site, for every reporting economy rather than one region. For each exporter and year, shares are taken over destinations, self-trade and aggregate counterparts removed, and countries with fewer than five destinations dropped because every index is noise on a handful of partners. HHI is the sum of squared shares on a 0-10,000 scale and is dominated by the largest partner; it also falls mechanically as partners are added, so a normalised form is given beside it. Entropy is Shannon's, in nats, weighting the tail far more generously; entropy_norm divides by ln(n). Gini measures inequality across destinations rather than dominance of the largest. Read all three: where they disagree is where the interesting structure is. |
| Destinations with a recorded flow | dest.partners | partners | Computed in app/services/network.py from the bilateral trade already on this site, for every reporting economy rather than one region. For each exporter and year, shares are taken over destinations, self-trade and aggregate counterparts removed, and countries with fewer than five destinations dropped because every index is noise on a handful of partners. HHI is the sum of squared shares on a 0-10,000 scale and is dominated by the largest partner; it also falls mechanically as partners are added, so a normalised form is given beside it. Entropy is Shannon's, in nats, weighting the tail far more generously; entropy_norm divides by ln(n). Gini measures inequality across destinations rather than dominance of the largest. Read all three: where they disagree is where the interesting structure is. |
| Largest destination's share | dest.top_share | % of exports | Computed in app/services/network.py from the bilateral trade already on this site, for every reporting economy rather than one region. For each exporter and year, shares are taken over destinations, self-trade and aggregate counterparts removed, and countries with fewer than five destinations dropped because every index is noise on a handful of partners. HHI is the sum of squared shares on a 0-10,000 scale and is dominated by the largest partner; it also falls mechanically as partners are added, so a normalised form is given beside it. Entropy is Shannon's, in nats, weighting the tail far more generously; entropy_norm divides by ln(n). Gini measures inequality across destinations rather than dominance of the largest. Read all three: where they disagree is where the interesting structure is. |
Trade network measures - gross against value added
Mondo derived indicators · MONDO-OWN-CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Partner concentration (HHI, 0-10000) (gross) | gross.hhi_out | index | Computed in app/services/network.py from the two FIGARO datasets on this site, not downloaded. Nodes are countries, edges are bilateral flows for one year. Self-loops are dropped and every area recorded as an aggregate is excluded - FIGARO reports TOTAL and NEU27_2020 as partners beside individual countries, and leaving them in makes every country's largest partner come out as "TOTAL" at forty per cent. out_degree counts partners taking at least 1 per cent of exports; that threshold changes the number and is stated for exactly that reason. HHI is the sum of squared partner shares, 0 to 10,000. va_share_of_gross converts thousands to millions before dividing, because the two source tables are published in different units. Centrality measures are deliberately absent - see the dataset notes. |
| Inward flow, total (gross) | gross.in_strength | — | Computed in app/services/network.py from the two FIGARO datasets on this site, not downloaded. Nodes are countries, edges are bilateral flows for one year. Self-loops are dropped and every area recorded as an aggregate is excluded - FIGARO reports TOTAL and NEU27_2020 as partners beside individual countries, and leaving them in makes every country's largest partner come out as "TOTAL" at forty per cent. out_degree counts partners taking at least 1 per cent of exports; that threshold changes the number and is stated for exactly that reason. HHI is the sum of squared partner shares, 0 to 10,000. va_share_of_gross converts thousands to millions before dividing, because the two source tables are published in different units. Centrality measures are deliberately absent - see the dataset notes. |
| Partners taking at least 1% of exports (gross) | gross.out_degree | partners | Computed in app/services/network.py from the two FIGARO datasets on this site, not downloaded. Nodes are countries, edges are bilateral flows for one year. Self-loops are dropped and every area recorded as an aggregate is excluded - FIGARO reports TOTAL and NEU27_2020 as partners beside individual countries, and leaving them in makes every country's largest partner come out as "TOTAL" at forty per cent. out_degree counts partners taking at least 1 per cent of exports; that threshold changes the number and is stated for exactly that reason. HHI is the sum of squared partner shares, 0 to 10,000. va_share_of_gross converts thousands to millions before dividing, because the two source tables are published in different units. Centrality measures are deliberately absent - see the dataset notes. |
| Outward flow, total (gross) | gross.out_strength | — | Computed in app/services/network.py from the two FIGARO datasets on this site, not downloaded. Nodes are countries, edges are bilateral flows for one year. Self-loops are dropped and every area recorded as an aggregate is excluded - FIGARO reports TOTAL and NEU27_2020 as partners beside individual countries, and leaving them in makes every country's largest partner come out as "TOTAL" at forty per cent. out_degree counts partners taking at least 1 per cent of exports; that threshold changes the number and is stated for exactly that reason. HHI is the sum of squared partner shares, 0 to 10,000. va_share_of_gross converts thousands to millions before dividing, because the two source tables are published in different units. Centrality measures are deliberately absent - see the dataset notes. |
| Largest partner's share (gross) | gross.top_partner_share | % of exports | Computed in app/services/network.py from the two FIGARO datasets on this site, not downloaded. Nodes are countries, edges are bilateral flows for one year. Self-loops are dropped and every area recorded as an aggregate is excluded - FIGARO reports TOTAL and NEU27_2020 as partners beside individual countries, and leaving them in makes every country's largest partner come out as "TOTAL" at forty per cent. out_degree counts partners taking at least 1 per cent of exports; that threshold changes the number and is stated for exactly that reason. HHI is the sum of squared partner shares, 0 to 10,000. va_share_of_gross converts thousands to millions before dividing, because the two source tables are published in different units. Centrality measures are deliberately absent - see the dataset notes. |
| Partner concentration (HHI, 0-10000) (va) | va.hhi_out | index | Computed in app/services/network.py from the two FIGARO datasets on this site, not downloaded. Nodes are countries, edges are bilateral flows for one year. Self-loops are dropped and every area recorded as an aggregate is excluded - FIGARO reports TOTAL and NEU27_2020 as partners beside individual countries, and leaving them in makes every country's largest partner come out as "TOTAL" at forty per cent. out_degree counts partners taking at least 1 per cent of exports; that threshold changes the number and is stated for exactly that reason. HHI is the sum of squared partner shares, 0 to 10,000. va_share_of_gross converts thousands to millions before dividing, because the two source tables are published in different units. Centrality measures are deliberately absent - see the dataset notes. |
| Inward flow, total (va) | va.in_strength | — | Computed in app/services/network.py from the two FIGARO datasets on this site, not downloaded. Nodes are countries, edges are bilateral flows for one year. Self-loops are dropped and every area recorded as an aggregate is excluded - FIGARO reports TOTAL and NEU27_2020 as partners beside individual countries, and leaving them in makes every country's largest partner come out as "TOTAL" at forty per cent. out_degree counts partners taking at least 1 per cent of exports; that threshold changes the number and is stated for exactly that reason. HHI is the sum of squared partner shares, 0 to 10,000. va_share_of_gross converts thousands to millions before dividing, because the two source tables are published in different units. Centrality measures are deliberately absent - see the dataset notes. |
| Partners taking at least 1% of exports (va) | va.out_degree | partners | Computed in app/services/network.py from the two FIGARO datasets on this site, not downloaded. Nodes are countries, edges are bilateral flows for one year. Self-loops are dropped and every area recorded as an aggregate is excluded - FIGARO reports TOTAL and NEU27_2020 as partners beside individual countries, and leaving them in makes every country's largest partner come out as "TOTAL" at forty per cent. out_degree counts partners taking at least 1 per cent of exports; that threshold changes the number and is stated for exactly that reason. HHI is the sum of squared partner shares, 0 to 10,000. va_share_of_gross converts thousands to millions before dividing, because the two source tables are published in different units. Centrality measures are deliberately absent - see the dataset notes. |
| Outward flow, total (va) | va.out_strength | — | Computed in app/services/network.py from the two FIGARO datasets on this site, not downloaded. Nodes are countries, edges are bilateral flows for one year. Self-loops are dropped and every area recorded as an aggregate is excluded - FIGARO reports TOTAL and NEU27_2020 as partners beside individual countries, and leaving them in makes every country's largest partner come out as "TOTAL" at forty per cent. out_degree counts partners taking at least 1 per cent of exports; that threshold changes the number and is stated for exactly that reason. HHI is the sum of squared partner shares, 0 to 10,000. va_share_of_gross converts thousands to millions before dividing, because the two source tables are published in different units. Centrality measures are deliberately absent - see the dataset notes. |
| Largest partner's share (va) | va.top_partner_share | % of exports | Computed in app/services/network.py from the two FIGARO datasets on this site, not downloaded. Nodes are countries, edges are bilateral flows for one year. Self-loops are dropped and every area recorded as an aggregate is excluded - FIGARO reports TOTAL and NEU27_2020 as partners beside individual countries, and leaving them in makes every country's largest partner come out as "TOTAL" at forty per cent. out_degree counts partners taking at least 1 per cent of exports; that threshold changes the number and is stated for exactly that reason. HHI is the sum of squared partner shares, 0 to 10,000. va_share_of_gross converts thousands to millions before dividing, because the two source tables are published in different units. Centrality measures are deliberately absent - see the dataset notes. |
| Domestic value added as a share of gross exports | va_share_of_gross | % of gross exports | Computed in app/services/network.py from the two FIGARO datasets on this site, not downloaded. Nodes are countries, edges are bilateral flows for one year. Self-loops are dropped and every area recorded as an aggregate is excluded - FIGARO reports TOTAL and NEU27_2020 as partners beside individual countries, and leaving them in makes every country's largest partner come out as "TOTAL" at forty per cent. out_degree counts partners taking at least 1 per cent of exports; that threshold changes the number and is stated for exactly that reason. HHI is the sum of squared partner shares, 0 to 10,000. va_share_of_gross converts thousands to millions before dividing, because the two source tables are published in different units. Centrality measures are deliberately absent - see the dataset notes. |
Business openings and closures, Canada and the provinces
Statistics Canada · STATCAN-OPEN · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Construction [23] · Opening businesses | v1203704933 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Continuing businesses | v1203704934 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Active businesses | v1203704156 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Opening businesses | v1203704157 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Continuing businesses | v1203704158 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Closing businesses | v1203704159 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Forestry, fishing and hunting [11] · Active businesses | v1203704160 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Forestry, fishing and hunting [11] · Opening businesses | v1203704161 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Forestry, fishing and hunting [11] · Continuing businesses | v1203704162 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Forestry, fishing and hunting [11] · Closing businesses | v1203704163 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Mining, quarrying, and oil and gas extraction [21] · Active businesses | v1203704164 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Mining, quarrying, and oil and gas extraction [21] · Opening businesses | v1203704165 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Mining, quarrying, and oil and gas extraction [21] · Continuing businesses | v1203704166 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Mining, quarrying, and oil and gas extraction [21] · Closing businesses | v1203704167 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Utilities [22] · Active businesses | v1203704168 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Active businesses | v1203704172 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Opening businesses | v1203704173 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Continuing businesses | v1203704174 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Closing businesses | v1203704175 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Active businesses | v1203704176 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Opening businesses | v1203704177 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Continuing businesses | v1203704178 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Closing businesses | v1203704179 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Active businesses | v1203704180 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Opening businesses | v1203704181 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Continuing businesses | v1203704182 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Closing businesses | v1203704183 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Active businesses | v1203704184 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Opening businesses | v1203704185 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Continuing businesses | v1203704186 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Closing businesses | v1203704187 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Active businesses | v1203704188 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Opening businesses | v1203704189 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Continuing businesses | v1203704190 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Closing businesses | v1203704191 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Information and cultural industries [51] · Active businesses | v1203704192 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Information and cultural industries [51] · Opening businesses | v1203704193 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Information and cultural industries [51] · Continuing businesses | v1203704194 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Information and cultural industries [51] · Closing businesses | v1203704195 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Active businesses | v1203704196 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Opening businesses | v1203704197 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Continuing businesses | v1203704198 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Closing businesses | v1203704199 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Active businesses | v1203704200 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Opening businesses | v1203704201 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Continuing businesses | v1203704202 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Closing businesses | v1203704203 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Active businesses | v1203704204 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Opening businesses | v1203704205 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Continuing businesses | v1203704206 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Closing businesses | v1203704207 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Active businesses | v1203704208 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Opening businesses | v1203704209 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Continuing businesses | v1203704210 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Closing businesses | v1203704211 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Educational services [61] · Active businesses | v1203704212 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Educational services [61] · Opening businesses | v1203704213 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Educational services [61] · Continuing businesses | v1203704214 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Educational services [61] · Closing businesses | v1203704215 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Active businesses | v1203704216 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Opening businesses | v1203704217 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Continuing businesses | v1203704218 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Closing businesses | v1203704219 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Arts, entertainment and recreation [71] · Active businesses | v1203704220 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Arts, entertainment and recreation [71] · Opening businesses | v1203704221 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Arts, entertainment and recreation [71] · Continuing businesses | v1203704222 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Arts, entertainment and recreation [71] · Closing businesses | v1203704223 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Active businesses | v1203704224 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Opening businesses | v1203704225 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Continuing businesses | v1203704226 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Closing businesses | v1203704227 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Active businesses | v1203704228 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Opening businesses | v1203704229 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Continuing businesses | v1203704230 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Closing businesses | v1203704231 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Active businesses | v1203704232 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Opening businesses | v1203704233 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Continuing businesses | v1203704234 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Closing businesses | v1203704235 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Forestry, fishing and hunting [11] · Active businesses | v1203704236 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Mining, quarrying, and oil and gas extraction [21] · Active businesses | v1203704240 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Active businesses | v1203704248 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Opening businesses | v1203704249 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Continuing businesses | v1203704250 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Closing businesses | v1203704251 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Active businesses | v1203704252 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Active businesses | v1203704256 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Active businesses | v1203704260 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Opening businesses | v1203704261 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Continuing businesses | v1203704262 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Closing businesses | v1203704263 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Active businesses | v1203704264 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Information and cultural industries [51] · Active businesses | v1203704268 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Active businesses | v1203704272 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Active businesses | v1203704276 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Opening businesses | v1203704277 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Continuing businesses | v1203704278 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Closing businesses | v1203704279 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Active businesses | v1203704280 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Opening businesses | v1203704281 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Continuing businesses | v1203704282 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Closing businesses | v1203704283 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Active businesses | v1203704284 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Educational services [61] · Active businesses | v1203704288 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Active businesses | v1203704292 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Opening businesses | v1203704293 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Continuing businesses | v1203704294 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Closing businesses | v1203704295 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Arts, entertainment and recreation [71] · Active businesses | v1203704296 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Active businesses | v1203704300 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Opening businesses | v1203704301 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Continuing businesses | v1203704302 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Closing businesses | v1203704303 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Active businesses | v1203704304 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Opening businesses | v1203704305 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Continuing businesses | v1203704306 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Closing businesses | v1203704307 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Active businesses | v1203704308 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Opening businesses | v1203704309 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Continuing businesses | v1203704310 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Closing businesses | v1203704311 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Active businesses | v1203704384 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Opening businesses | v1203704385 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Continuing businesses | v1203704386 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Closing businesses | v1203704387 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Active businesses | v1203704400 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Active businesses | v1203704404 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Active businesses | v1203704408 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Active businesses | v1203704412 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Active businesses | v1203704416 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Information and cultural industries [51] · Active businesses | v1203704420 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Active businesses | v1203704424 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Active businesses | v1203704428 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Active businesses | v1203704432 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Active businesses | v1203704436 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Educational services [61] · Active businesses | v1203704440 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Active businesses | v1203704444 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Arts, entertainment and recreation [71] · Active businesses | v1203704448 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Active businesses | v1203704452 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Active businesses | v1203704456 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Active businesses | v1203704460 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Opening businesses | v1203704461 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Continuing businesses | v1203704462 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Closing businesses | v1203704463 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Forestry, fishing and hunting [11] · Active businesses | v1203704464 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Mining, quarrying, and oil and gas extraction [21] · Active businesses | v1203704468 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Utilities [22] · Active businesses | v1203704472 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Active businesses | v1203704476 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Opening businesses | v1203704477 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Continuing businesses | v1203704478 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Closing businesses | v1203704479 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Active businesses | v1203704480 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Opening businesses | v1203704481 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Continuing businesses | v1203704482 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Closing businesses | v1203704483 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Active businesses | v1203704484 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Active businesses | v1203704488 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Opening businesses | v1203704489 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Continuing businesses | v1203704490 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Closing businesses | v1203704491 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Active businesses | v1203704492 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Opening businesses | v1203704493 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Continuing businesses | v1203704494 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Closing businesses | v1203704495 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Information and cultural industries [51] · Active businesses | v1203704496 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Active businesses | v1203704500 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Active businesses | v1203704504 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Opening businesses | v1203704505 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Continuing businesses | v1203704506 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Closing businesses | v1203704507 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Active businesses | v1203704508 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Opening businesses | v1203704509 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Continuing businesses | v1203704510 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Closing businesses | v1203704511 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Active businesses | v1203704512 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Opening businesses | v1203704513 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Continuing businesses | v1203704514 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Closing businesses | v1203704515 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Educational services [61] · Active businesses | v1203704516 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Active businesses | v1203704520 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Opening businesses | v1203704521 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Continuing businesses | v1203704522 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Closing businesses | v1203704523 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Arts, entertainment and recreation [71] · Active businesses | v1203704524 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Active businesses | v1203704528 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Opening businesses | v1203704529 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Continuing businesses | v1203704530 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Closing businesses | v1203704531 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Active businesses | v1203704532 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Opening businesses | v1203704533 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Continuing businesses | v1203704534 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Closing businesses | v1203704535 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Active businesses | v1203704536 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Opening businesses | v1203704537 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Continuing businesses | v1203704538 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Closing businesses | v1203704539 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Active businesses | v1203704612 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Opening businesses | v1203704613 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Continuing businesses | v1203704614 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Closing businesses | v1203704615 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Forestry, fishing and hunting [11] · Active businesses | v1203704616 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Mining, quarrying, and oil and gas extraction [21] · Active businesses | v1203704620 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Utilities [22] · Active businesses | v1203704624 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Active businesses | v1203704628 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Opening businesses | v1203704629 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Continuing businesses | v1203704630 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Closing businesses | v1203704631 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Active businesses | v1203704632 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Active businesses | v1203704636 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Active businesses | v1203704640 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Opening businesses | v1203704641 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Continuing businesses | v1203704642 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Closing businesses | v1203704643 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Active businesses | v1203704644 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Opening businesses | v1203704645 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Continuing businesses | v1203704646 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Closing businesses | v1203704647 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Information and cultural industries [51] · Active businesses | v1203704648 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Active businesses | v1203704652 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Active businesses | v1203704656 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Opening businesses | v1203704657 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Continuing businesses | v1203704658 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Closing businesses | v1203704659 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Active businesses | v1203704660 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Opening businesses | v1203704661 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Continuing businesses | v1203704662 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Closing businesses | v1203704663 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Active businesses | v1203704664 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Opening businesses | v1203704665 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Continuing businesses | v1203704666 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Closing businesses | v1203704667 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Educational services [61] · Active businesses | v1203704668 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Active businesses | v1203704672 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Opening businesses | v1203704673 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Continuing businesses | v1203704674 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Closing businesses | v1203704675 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Arts, entertainment and recreation [71] · Active businesses | v1203704676 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Active businesses | v1203704680 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Opening businesses | v1203704681 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Continuing businesses | v1203704682 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Closing businesses | v1203704683 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Active businesses | v1203704684 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Opening businesses | v1203704685 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Continuing businesses | v1203704686 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Closing businesses | v1203704687 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Active businesses | v1203704688 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Opening businesses | v1203704689 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Continuing businesses | v1203704690 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Closing businesses | v1203704691 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Active businesses | v1203704764 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Opening businesses | v1203704765 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Continuing businesses | v1203704766 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Closing businesses | v1203704767 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Active businesses | v1203704840 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Opening businesses | v1203704841 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Continuing businesses | v1203704842 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Closing businesses | v1203704843 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Forestry, fishing and hunting [11] · Active businesses | v1203704844 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Forestry, fishing and hunting [11] · Opening businesses | v1203704845 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Forestry, fishing and hunting [11] · Continuing businesses | v1203704846 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Forestry, fishing and hunting [11] · Closing businesses | v1203704847 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Mining, quarrying, and oil and gas extraction [21] · Active businesses | v1203704848 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Utilities [22] · Active businesses | v1203704852 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Active businesses | v1203704856 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Opening businesses | v1203704857 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Continuing businesses | v1203704858 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Closing businesses | v1203704859 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Active businesses | v1203704860 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Opening businesses | v1203704861 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Continuing businesses | v1203704862 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Closing businesses | v1203704863 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Active businesses | v1203704864 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Opening businesses | v1203704865 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Continuing businesses | v1203704866 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Closing businesses | v1203704867 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Active businesses | v1203704868 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Opening businesses | v1203704869 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Continuing businesses | v1203704870 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Closing businesses | v1203704871 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Active businesses | v1203704872 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Closing businesses | v1203704935 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Opening businesses | v1203704873 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Continuing businesses | v1203704874 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Closing businesses | v1203704875 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Information and cultural industries [51] · Active businesses | v1203704876 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Information and cultural industries [51] · Opening businesses | v1203704877 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Information and cultural industries [51] · Continuing businesses | v1203704878 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Information and cultural industries [51] · Closing businesses | v1203704879 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Active businesses | v1203704880 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Opening businesses | v1203704881 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Continuing businesses | v1203704882 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Closing businesses | v1203704883 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Active businesses | v1203704884 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Opening businesses | v1203704885 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Continuing businesses | v1203704886 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Closing businesses | v1203704887 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Active businesses | v1203704888 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Opening businesses | v1203704889 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Continuing businesses | v1203704890 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Closing businesses | v1203704891 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Active businesses | v1203704892 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Opening businesses | v1203704893 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Continuing businesses | v1203704894 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Closing businesses | v1203704895 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Educational services [61] · Active businesses | v1203704896 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Educational services [61] · Opening businesses | v1203704897 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Educational services [61] · Continuing businesses | v1203704898 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Educational services [61] · Closing businesses | v1203704899 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Active businesses | v1203704900 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Opening businesses | v1203704901 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Continuing businesses | v1203704902 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Closing businesses | v1203704903 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Arts, entertainment and recreation [71] · Active businesses | v1203704904 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Arts, entertainment and recreation [71] · Opening businesses | v1203704905 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Arts, entertainment and recreation [71] · Continuing businesses | v1203704906 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Arts, entertainment and recreation [71] · Closing businesses | v1203704907 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Active businesses | v1203704908 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Opening businesses | v1203704909 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Continuing businesses | v1203704910 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Closing businesses | v1203704911 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Active businesses | v1203704912 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Opening businesses | v1203704913 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Continuing businesses | v1203704914 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Closing businesses | v1203704915 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Active businesses | v1203704916 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Opening businesses | v1203704917 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Continuing businesses | v1203704918 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Closing businesses | v1203704919 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Forestry, fishing and hunting [11] · Active businesses | v1203704920 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Mining, quarrying, and oil and gas extraction [21] · Active businesses | v1203704924 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Utilities [22] · Active businesses | v1203704928 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Active businesses | v1203704932 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Active businesses | v1203704936 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Opening businesses | v1203704937 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Continuing businesses | v1203704938 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Closing businesses | v1203704939 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Active businesses | v1203704940 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Opening businesses | v1203704941 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Continuing businesses | v1203704942 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Closing businesses | v1203704943 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Active businesses | v1203704944 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Opening businesses | v1203704945 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Continuing businesses | v1203704946 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Closing businesses | v1203704947 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Active businesses | v1203704948 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Opening businesses | v1203704949 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Continuing businesses | v1203704950 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Closing businesses | v1203704951 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Information and cultural industries [51] · Active businesses | v1203704952 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Information and cultural industries [51] · Opening businesses | v1203704953 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Information and cultural industries [51] · Continuing businesses | v1203704954 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Information and cultural industries [51] · Closing businesses | v1203704955 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Active businesses | v1203704956 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Opening businesses | v1203704957 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Continuing businesses | v1203704958 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Closing businesses | v1203704959 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Active businesses | v1203704960 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Opening businesses | v1203704961 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Continuing businesses | v1203704962 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Closing businesses | v1203704963 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Active businesses | v1203704964 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Opening businesses | v1203704965 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Continuing businesses | v1203704966 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Closing businesses | v1203704967 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Active businesses | v1203704968 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Opening businesses | v1203704969 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Continuing businesses | v1203704970 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Closing businesses | v1203704971 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Educational services [61] · Active businesses | v1203704972 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Educational services [61] · Opening businesses | v1203704973 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Educational services [61] · Continuing businesses | v1203704974 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Educational services [61] · Closing businesses | v1203704975 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Active businesses | v1203704976 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Opening businesses | v1203704977 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Continuing businesses | v1203704978 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Closing businesses | v1203704979 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Arts, entertainment and recreation [71] · Active businesses | v1203704980 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Arts, entertainment and recreation [71] · Opening businesses | v1203704981 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Arts, entertainment and recreation [71] · Continuing businesses | v1203704982 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Arts, entertainment and recreation [71] · Closing businesses | v1203704983 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Active businesses | v1203704984 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Opening businesses | v1203704985 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Continuing businesses | v1203704986 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Closing businesses | v1203704987 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Active businesses | v1203704988 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Opening businesses | v1203704989 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Continuing businesses | v1203704990 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Closing businesses | v1203704991 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Active businesses | v1203704992 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Opening businesses | v1203704993 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Continuing businesses | v1203704994 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Closing businesses | v1203704995 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Active businesses | v1203705068 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Opening businesses | v1203705069 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Continuing businesses | v1203705070 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Closing businesses | v1203705071 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Active businesses | v1203705144 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Opening businesses | v1203705145 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Continuing businesses | v1203705146 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Closing businesses | v1203705147 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Active businesses | v1203705220 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Opening businesses | v1203705221 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Continuing businesses | v1203705222 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Closing businesses | v1203705223 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Active businesses | v1203705296 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Opening businesses | v1203705297 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Continuing businesses | v1203705298 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Closing businesses | v1203705299 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Forestry, fishing and hunting [11] · Active businesses | v1203705300 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Forestry, fishing and hunting [11] · Opening businesses | v1203705301 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Forestry, fishing and hunting [11] · Continuing businesses | v1203705302 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Forestry, fishing and hunting [11] · Closing businesses | v1203705303 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Mining, quarrying, and oil and gas extraction [21] · Active businesses | v1203705304 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Utilities [22] · Active businesses | v1203705308 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Active businesses | v1203705312 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Opening businesses | v1203705313 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Continuing businesses | v1203705314 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Closing businesses | v1203705315 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Active businesses | v1203705316 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Opening businesses | v1203705317 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Continuing businesses | v1203705318 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Closing businesses | v1203705319 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Active businesses | v1203705320 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Opening businesses | v1203705321 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Continuing businesses | v1203705322 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Closing businesses | v1203705323 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Active businesses | v1203705324 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Opening businesses | v1203705325 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Continuing businesses | v1203705326 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Closing businesses | v1203705327 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Active businesses | v1203705328 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Opening businesses | v1203705329 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Continuing businesses | v1203705330 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Closing businesses | v1203705331 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Information and cultural industries [51] · Active businesses | v1203705332 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Information and cultural industries [51] · Opening businesses | v1203705333 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Information and cultural industries [51] · Continuing businesses | v1203705334 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Information and cultural industries [51] · Closing businesses | v1203705335 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Active businesses | v1203705336 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Opening businesses | v1203705337 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Continuing businesses | v1203705338 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Closing businesses | v1203705339 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Active businesses | v1203705340 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Opening businesses | v1203705341 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Continuing businesses | v1203705342 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Closing businesses | v1203705343 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Active businesses | v1203705344 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Opening businesses | v1203705345 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Continuing businesses | v1203705346 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Closing businesses | v1203705347 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Active businesses | v1203705348 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Opening businesses | v1203705349 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Continuing businesses | v1203705350 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Closing businesses | v1203705351 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Educational services [61] · Active businesses | v1203705352 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Educational services [61] · Opening businesses | v1203705353 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Educational services [61] · Continuing businesses | v1203705354 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Educational services [61] · Closing businesses | v1203705355 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Active businesses | v1203705356 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Opening businesses | v1203705357 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Continuing businesses | v1203705358 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Closing businesses | v1203705359 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Arts, entertainment and recreation [71] · Active businesses | v1203705360 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Arts, entertainment and recreation [71] · Opening businesses | v1203705361 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Arts, entertainment and recreation [71] · Continuing businesses | v1203705362 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Arts, entertainment and recreation [71] · Closing businesses | v1203705363 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Active businesses | v1203705364 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Opening businesses | v1203705365 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Continuing businesses | v1203705366 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Closing businesses | v1203705367 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Active businesses | v1203705368 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Opening businesses | v1203705369 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Continuing businesses | v1203705370 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Closing businesses | v1203705371 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Active businesses | v1203705372 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Opening businesses | v1203705373 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Continuing businesses | v1203705374 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Closing businesses | v1203705375 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Active businesses | v1203705448 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Opening businesses | v1203705449 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Continuing businesses | v1203705450 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Closing businesses | v1203705451 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Active businesses | v1203705524 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Opening businesses | v1203705525 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Continuing businesses | v1203705526 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Closing businesses | v1203705527 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Active businesses | v1203705600 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Opening businesses | v1203705601 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Continuing businesses | v1203705602 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Closing businesses | v1203705603 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Active businesses | v1231413617 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Active businesses | v1203705676 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Opening businesses | v1203705677 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Continuing businesses | v1203705678 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Closing businesses | v1203705679 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Active businesses | v1203705752 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Opening businesses | v1203705753 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Continuing businesses | v1203705754 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Closing businesses | v1203705755 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Active businesses | v1203705768 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Active businesses | v1203705772 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Active businesses | v1203705776 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Active businesses | v1203705780 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Active businesses | v1203705784 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Information and cultural industries [51] · Active businesses | v1203705788 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Active businesses | v1203705792 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Active businesses | v1203705796 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Active businesses | v1203705800 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Active businesses | v1203705804 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Educational services [61] · Active businesses | v1203705808 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Active businesses | v1203705812 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Arts, entertainment and recreation [71] · Active businesses | v1203705816 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Active businesses | v1203705820 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Active businesses | v1203705824 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Active businesses | v1203705828 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Opening businesses | v1203705829 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Continuing businesses | v1203705830 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Closing businesses | v1203705831 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Utilities [22] · Active businesses | v1203705840 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Active businesses | v1203705844 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Opening businesses | v1203705845 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Continuing businesses | v1203705846 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Closing businesses | v1203705847 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Active businesses | v1203705848 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Active businesses | v1203705852 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Active businesses | v1203705856 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Opening businesses | v1203705857 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Continuing businesses | v1203705858 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Closing businesses | v1203705859 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Active businesses | v1203705860 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Opening businesses | v1203705861 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Continuing businesses | v1203705862 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Closing businesses | v1203705863 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Information and cultural industries [51] · Active businesses | v1203705864 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Active businesses | v1203705868 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Opening businesses | v1203705869 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Continuing businesses | v1203705870 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Closing businesses | v1203705871 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Active businesses | v1203705872 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Active businesses | v1203705876 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Opening businesses | v1203705877 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Continuing businesses | v1203705878 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Closing businesses | v1203705879 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Active businesses | v1203705880 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Educational services [61] · Active businesses | v1203705884 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Active businesses | v1203705888 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Opening businesses | v1203705889 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Continuing businesses | v1203705890 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Closing businesses | v1203705891 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Arts, entertainment and recreation [71] · Active businesses | v1203705892 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Active businesses | v1203705896 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Opening businesses | v1203705897 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Continuing businesses | v1203705898 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Closing businesses | v1203705899 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Active businesses | v1203705900 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Opening businesses | v1203705901 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Continuing businesses | v1203705902 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Closing businesses | v1203705903 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Active businesses | v1203705904 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Opening businesses | v1203705905 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Continuing businesses | v1203705906 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Closing businesses | v1203705907 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Active businesses | v1203705980 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Opening businesses | v1203705981 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Continuing businesses | v1203705982 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Closing businesses | v1203705983 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Active businesses | v1203705996 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Opening businesses | v1203705997 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Continuing businesses | v1203705998 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Closing businesses | v1203705999 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Active businesses | v1203706000 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Active businesses | v1203706004 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Active businesses | v1203706008 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Opening businesses | v1203706009 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Continuing businesses | v1203706010 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Closing businesses | v1203706011 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Active businesses | v1203706012 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Opening businesses | v1203706013 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Continuing businesses | v1203706014 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Closing businesses | v1203706015 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Information and cultural industries [51] · Active businesses | v1203706016 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Active businesses | v1203706020 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Active businesses | v1203706024 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Active businesses | v1203706028 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Opening businesses | v1203706029 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Continuing businesses | v1203706030 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Closing businesses | v1203706031 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Active businesses | v1203706032 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Opening businesses | v1203706033 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Continuing businesses | v1203706034 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Closing businesses | v1203706035 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Educational services [61] · Active businesses | v1203706036 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Active businesses | v1203706040 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Opening businesses | v1203706041 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Continuing businesses | v1203706042 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Closing businesses | v1203706043 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Arts, entertainment and recreation [71] · Active businesses | v1203706044 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Active businesses | v1203706048 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Opening businesses | v1203706049 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Continuing businesses | v1203706050 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Closing businesses | v1203706051 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Active businesses | v1203706052 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Opening businesses | v1203706053 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Continuing businesses | v1203706054 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Closing businesses | v1203706055 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Active businesses | v1203706056 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Opening businesses | v1203706057 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Continuing businesses | v1203706058 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Closing businesses | v1203706059 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Active businesses | v1203706132 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Opening businesses | v1203706133 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Continuing businesses | v1203706134 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Closing businesses | v1203706135 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Active businesses | v1203706148 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Opening businesses | v1203706149 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Continuing businesses | v1203706150 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Closing businesses | v1203706151 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Active businesses | v1203706152 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Active businesses | v1203706156 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Active businesses | v1203706160 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Active businesses | v1203706164 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Information and cultural industries [51] · Active businesses | v1203706168 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Active businesses | v1203706172 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Active businesses | v1203706176 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Active businesses | v1203706180 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Opening businesses | v1203706181 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Continuing businesses | v1203706182 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Closing businesses | v1203706183 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Active businesses | v1203706184 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Educational services [61] · Active businesses | v1203706188 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Active businesses | v1203706192 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Arts, entertainment and recreation [71] · Active businesses | v1203706196 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Active businesses | v1203706200 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Active businesses | v1203706204 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Active businesses | v1203706208 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Opening businesses | v1203706209 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Continuing businesses | v1203706210 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Closing businesses | v1203706211 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Active businesses | v1203706284 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Opening businesses | v1203706285 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Continuing businesses | v1203706286 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Closing businesses | v1203706287 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Active businesses | v1203706360 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Opening businesses | v1203706361 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Continuing businesses | v1203706362 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Closing businesses | v1203706363 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Active businesses | v1203706436 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Opening businesses | v1203706437 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Continuing businesses | v1203706438 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Closing businesses | v1203706439 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Forestry, fishing and hunting [11] · Active businesses | v1203706440 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Mining, quarrying, and oil and gas extraction [21] · Active businesses | v1203706444 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Utilities [22] · Active businesses | v1203706448 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Active businesses | v1203706452 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Opening businesses | v1203706453 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Continuing businesses | v1203706454 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Closing businesses | v1203706455 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Active businesses | v1203706456 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Opening businesses | v1203706457 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Continuing businesses | v1203706458 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Closing businesses | v1203706459 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Active businesses | v1203706460 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Opening businesses | v1203706461 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Continuing businesses | v1203706462 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Closing businesses | v1203706463 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Active businesses | v1203706464 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Opening businesses | v1203706465 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Continuing businesses | v1203706466 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Closing businesses | v1203706467 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Active businesses | v1203706468 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Opening businesses | v1203706469 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Continuing businesses | v1203706470 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Closing businesses | v1203706471 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Information and cultural industries [51] · Active businesses | v1203706472 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Information and cultural industries [51] · Opening businesses | v1203706473 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Information and cultural industries [51] · Continuing businesses | v1203706474 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Information and cultural industries [51] · Closing businesses | v1203706475 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Active businesses | v1203706476 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Opening businesses | v1203706477 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Continuing businesses | v1203706478 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Closing businesses | v1203706479 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Active businesses | v1203706480 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Opening businesses | v1203706481 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Continuing businesses | v1203706482 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Closing businesses | v1203706483 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Active businesses | v1203706484 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Opening businesses | v1203706485 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Continuing businesses | v1203706486 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Closing businesses | v1203706487 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Active businesses | v1203706488 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Opening businesses | v1203706489 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Continuing businesses | v1203706490 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Closing businesses | v1203706491 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Educational services [61] · Active businesses | v1203706492 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Educational services [61] · Opening businesses | v1203706493 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Educational services [61] · Continuing businesses | v1203706494 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Educational services [61] · Closing businesses | v1203706495 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Active businesses | v1203706496 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Opening businesses | v1203706497 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Continuing businesses | v1203706498 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Closing businesses | v1203706499 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Arts, entertainment and recreation [71] · Active businesses | v1203706500 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Arts, entertainment and recreation [71] · Opening businesses | v1203706501 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Arts, entertainment and recreation [71] · Continuing businesses | v1203706502 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Arts, entertainment and recreation [71] · Closing businesses | v1203706503 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Active businesses | v1203706504 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Opening businesses | v1203706505 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Continuing businesses | v1203706506 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Closing businesses | v1203706507 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Active businesses | v1203706508 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Opening businesses | v1203706509 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Continuing businesses | v1203706510 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Closing businesses | v1203706511 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Active businesses | v1203706512 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Opening businesses | v1203706513 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Continuing businesses | v1203706514 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Closing businesses | v1203706515 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Active businesses | v1203706588 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Opening businesses | v1203706589 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Continuing businesses | v1203706590 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Closing businesses | v1203706591 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Forestry, fishing and hunting [11] · Active businesses | v1203706592 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Mining, quarrying, and oil and gas extraction [21] · Active businesses | v1203706596 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Active businesses | v1203706604 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Opening businesses | v1203706605 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Continuing businesses | v1203706606 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Closing businesses | v1203706607 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Active businesses | v1203706608 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Opening businesses | v1203706609 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Continuing businesses | v1203706610 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Closing businesses | v1203706611 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Active businesses | v1203706612 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Opening businesses | v1203706613 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Continuing businesses | v1203706614 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Closing businesses | v1203706615 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Active businesses | v1203706616 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Opening businesses | v1203706617 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Continuing businesses | v1203706618 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Closing businesses | v1203706619 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Active businesses | v1203706620 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Opening businesses | v1203706621 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Continuing businesses | v1203706622 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Closing businesses | v1203706623 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Information and cultural industries [51] · Active businesses | v1203706624 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Active businesses | v1203706628 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Opening businesses | v1203706629 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Continuing businesses | v1203706630 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Closing businesses | v1203706631 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Active businesses | v1203706632 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Opening businesses | v1203706633 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Continuing businesses | v1203706634 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Closing businesses | v1203706635 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Active businesses | v1203706636 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Opening businesses | v1203706637 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Continuing businesses | v1203706638 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Closing businesses | v1203706639 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Active businesses | v1203706640 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Opening businesses | v1203706641 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Continuing businesses | v1203706642 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Closing businesses | v1203706643 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Educational services [61] · Active businesses | v1203706644 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Active businesses | v1203706648 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Opening businesses | v1203706649 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Continuing businesses | v1203706650 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Closing businesses | v1203706651 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Arts, entertainment and recreation [71] · Active businesses | v1203706652 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Active businesses | v1203706656 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Opening businesses | v1203706657 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Continuing businesses | v1203706658 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Closing businesses | v1203706659 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Active businesses | v1203706660 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Opening businesses | v1203706661 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Continuing businesses | v1203706662 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Closing businesses | v1203706663 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Active businesses | v1203706664 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Opening businesses | v1203706665 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Continuing businesses | v1203706666 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Closing businesses | v1203706667 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Mining, quarrying, and oil and gas extraction [21] · Active businesses | v1203706672 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Active businesses | v1203706680 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Opening businesses | v1203706681 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Continuing businesses | v1203706682 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Closing businesses | v1203706683 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Active businesses | v1203706684 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Active businesses | v1203706688 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Active businesses | v1203706692 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Opening businesses | v1203706693 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Continuing businesses | v1203706694 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Closing businesses | v1203706695 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Active businesses | v1203706696 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Opening businesses | v1203706697 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Continuing businesses | v1203706698 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Closing businesses | v1203706699 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Information and cultural industries [51] · Active businesses | v1203706700 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Active businesses | v1203706704 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Opening businesses | v1203706705 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Continuing businesses | v1203706706 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Closing businesses | v1203706707 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Active businesses | v1203706708 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Opening businesses | v1203706709 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Continuing businesses | v1203706710 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Closing businesses | v1203706711 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Active businesses | v1203706712 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Opening businesses | v1203706713 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Continuing businesses | v1203706714 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Closing businesses | v1203706715 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Active businesses | v1203706716 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Opening businesses | v1203706717 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Opening businesses | v1203706789 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Continuing businesses | v1203706718 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Closing businesses | v1203706719 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Educational services [61] · Active businesses | v1203706720 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Active businesses | v1203706724 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Opening businesses | v1203706725 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Continuing businesses | v1203706726 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Closing businesses | v1203706727 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Arts, entertainment and recreation [71] · Active businesses | v1203706728 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Active businesses | v1203706732 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Opening businesses | v1203706733 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Continuing businesses | v1203706734 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Closing businesses | v1203706735 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Active businesses | v1203706736 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Opening businesses | v1203706737 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Continuing businesses | v1203706738 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Closing businesses | v1203706739 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Active businesses | v1203706740 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Opening businesses | v1203706741 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Continuing businesses | v1203706742 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Closing businesses | v1203706743 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Forestry, fishing and hunting [11] · Active businesses | v1203706744 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Mining, quarrying, and oil and gas extraction [21] · Active businesses | v1203706748 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Mining, quarrying, and oil and gas extraction [21] · Opening businesses | v1203706749 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Mining, quarrying, and oil and gas extraction [21] · Continuing businesses | v1203706750 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Mining, quarrying, and oil and gas extraction [21] · Closing businesses | v1203706751 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Utilities [22] · Active businesses | v1203706752 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Active businesses | v1203706756 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Opening businesses | v1203706757 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Continuing businesses | v1203706758 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Closing businesses | v1203706759 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Active businesses | v1203706760 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Opening businesses | v1203706761 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Continuing businesses | v1203706762 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Closing businesses | v1203706763 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Active businesses | v1203706764 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Active businesses | v1203706768 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Opening businesses | v1203706769 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Continuing businesses | v1203706770 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Closing businesses | v1203706771 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Active businesses | v1203706772 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Opening businesses | v1203706773 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Continuing businesses | v1203706774 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Closing businesses | v1203706775 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Information and cultural industries [51] · Active businesses | v1203706776 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Active businesses | v1203706780 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Opening businesses | v1203706781 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Continuing businesses | v1203706782 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Closing businesses | v1203706783 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Active businesses | v1203706784 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Opening businesses | v1203706785 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Continuing businesses | v1203706786 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Closing businesses | v1203706787 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Active businesses | v1203706788 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Continuing businesses | v1203706790 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Closing businesses | v1203706791 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Active businesses | v1203706792 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Opening businesses | v1203706793 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Continuing businesses | v1203706794 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Closing businesses | v1203706795 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Educational services [61] · Active businesses | v1203706796 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Active businesses | v1203706800 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Opening businesses | v1203706801 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Continuing businesses | v1203706802 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Closing businesses | v1203706803 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Arts, entertainment and recreation [71] · Active businesses | v1203706804 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Active businesses | v1203706808 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Opening businesses | v1203706809 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Continuing businesses | v1203706810 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Closing businesses | v1203706811 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Active businesses | v1203706812 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Opening businesses | v1203706813 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Continuing businesses | v1203706814 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Closing businesses | v1203706815 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Active businesses | v1203706816 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Opening businesses | v1203706817 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Continuing businesses | v1203706818 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Closing businesses | v1203706819 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Active businesses | v1203706892 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Opening businesses | v1203706893 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Continuing businesses | v1203706894 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Closing businesses | v1203706895 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Active businesses | v1203706968 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Opening businesses | v1203706969 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Continuing businesses | v1203706970 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Closing businesses | v1203706971 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Forestry, fishing and hunting [11] · Active businesses | v1203706972 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Mining, quarrying, and oil and gas extraction [21] · Active businesses | v1203706976 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Mining, quarrying, and oil and gas extraction [21] · Opening businesses | v1203706977 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Mining, quarrying, and oil and gas extraction [21] · Continuing businesses | v1203706978 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Mining, quarrying, and oil and gas extraction [21] · Closing businesses | v1203706979 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Utilities [22] · Active businesses | v1203706980 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Active businesses | v1203706984 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Opening businesses | v1203706985 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Continuing businesses | v1203706986 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Closing businesses | v1203706987 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Active businesses | v1203706988 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Opening businesses | v1203706989 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Continuing businesses | v1203706990 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Closing businesses | v1203706991 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Active businesses | v1203706992 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Opening businesses | v1203706993 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Continuing businesses | v1203706994 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Closing businesses | v1203706995 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Active businesses | v1203706996 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Opening businesses | v1203706997 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Continuing businesses | v1203706998 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Closing businesses | v1203706999 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Active businesses | v1203707000 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Opening businesses | v1203707001 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Continuing businesses | v1203707002 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Closing businesses | v1203707003 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Information and cultural industries [51] · Active businesses | v1203707004 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Information and cultural industries [51] · Opening businesses | v1203707005 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Information and cultural industries [51] · Continuing businesses | v1203707006 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Information and cultural industries [51] · Closing businesses | v1203707007 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Active businesses | v1203707008 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Opening businesses | v1203707009 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Continuing businesses | v1203707010 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Closing businesses | v1203707011 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Active businesses | v1203707012 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Opening businesses | v1203707013 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Continuing businesses | v1203707014 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Closing businesses | v1203707015 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Active businesses | v1203707016 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Opening businesses | v1203707017 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Continuing businesses | v1203707018 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Closing businesses | v1203707019 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Active businesses | v1203707020 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Opening businesses | v1203707021 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Continuing businesses | v1203707022 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Closing businesses | v1203707023 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Educational services [61] · Active businesses | v1203707024 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Educational services [61] · Opening businesses | v1203707025 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Educational services [61] · Continuing businesses | v1203707026 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Educational services [61] · Closing businesses | v1203707027 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Active businesses | v1203707028 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Opening businesses | v1203707029 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Continuing businesses | v1203707030 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Closing businesses | v1203707031 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Arts, entertainment and recreation [71] · Active businesses | v1203707032 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Arts, entertainment and recreation [71] · Opening businesses | v1203707033 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Arts, entertainment and recreation [71] · Continuing businesses | v1203707034 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Arts, entertainment and recreation [71] · Closing businesses | v1203707035 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Active businesses | v1203707036 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Opening businesses | v1203707037 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Continuing businesses | v1203707038 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Closing businesses | v1203707039 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Active businesses | v1203707040 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Opening businesses | v1203707041 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Continuing businesses | v1203707042 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Closing businesses | v1203707043 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Active businesses | v1203707044 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Opening businesses | v1203707045 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Continuing businesses | v1203707046 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Closing businesses | v1203707047 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Active businesses | v1203707120 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Opening businesses | v1203707121 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Continuing businesses | v1203707122 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Closing businesses | v1203707123 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Active businesses | v1203707196 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Opening businesses | v1203707197 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Continuing businesses | v1203707198 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Closing businesses | v1203707199 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Active businesses | v1203707272 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Opening businesses | v1203707273 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Continuing businesses | v1203707274 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Closing businesses | v1203707275 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Forestry, fishing and hunting [11] · Active businesses | v1203707276 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Forestry, fishing and hunting [11] · Opening businesses | v1203707277 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Forestry, fishing and hunting [11] · Continuing businesses | v1203707278 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Forestry, fishing and hunting [11] · Closing businesses | v1203707279 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Mining, quarrying, and oil and gas extraction [21] · Active businesses | v1203707280 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Mining, quarrying, and oil and gas extraction [21] · Opening businesses | v1203707281 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Mining, quarrying, and oil and gas extraction [21] · Continuing businesses | v1203707282 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Mining, quarrying, and oil and gas extraction [21] · Closing businesses | v1203707283 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Utilities [22] · Active businesses | v1203707284 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Active businesses | v1203707288 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Opening businesses | v1203707289 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Continuing businesses | v1203707290 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Closing businesses | v1203707291 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Active businesses | v1203707292 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Opening businesses | v1203707293 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Continuing businesses | v1203707294 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Closing businesses | v1203707295 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Active businesses | v1203707296 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Opening businesses | v1203707297 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Continuing businesses | v1203707298 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Closing businesses | v1203707299 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Active businesses | v1203707300 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Opening businesses | v1203707301 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Continuing businesses | v1203707302 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Closing businesses | v1203707303 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Active businesses | v1203707304 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Opening businesses | v1203707305 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Continuing businesses | v1203707306 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Closing businesses | v1203707307 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Information and cultural industries [51] · Active businesses | v1203707308 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Information and cultural industries [51] · Opening businesses | v1203707309 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Information and cultural industries [51] · Continuing businesses | v1203707310 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Information and cultural industries [51] · Closing businesses | v1203707311 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Active businesses | v1203707312 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Opening businesses | v1203707313 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Continuing businesses | v1203707314 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Closing businesses | v1203707315 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Active businesses | v1203707316 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Opening businesses | v1203707317 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Continuing businesses | v1203707318 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Closing businesses | v1203707319 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Active businesses | v1203707320 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Opening businesses | v1203707321 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Continuing businesses | v1203707322 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Closing businesses | v1203707323 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Active businesses | v1203707324 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Opening businesses | v1203707325 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Continuing businesses | v1203707326 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Closing businesses | v1203707327 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Educational services [61] · Active businesses | v1203707328 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Educational services [61] · Opening businesses | v1203707329 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Educational services [61] · Continuing businesses | v1203707330 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Educational services [61] · Closing businesses | v1203707331 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Active businesses | v1203707332 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Opening businesses | v1203707333 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Continuing businesses | v1203707334 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Closing businesses | v1203707335 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Arts, entertainment and recreation [71] · Active businesses | v1203707336 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Arts, entertainment and recreation [71] · Opening businesses | v1203707337 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Arts, entertainment and recreation [71] · Continuing businesses | v1203707338 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Arts, entertainment and recreation [71] · Closing businesses | v1203707339 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Active businesses | v1203707340 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Opening businesses | v1203707341 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Continuing businesses | v1203707342 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Closing businesses | v1203707343 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Active businesses | v1203707344 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Opening businesses | v1203707345 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Continuing businesses | v1203707346 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Closing businesses | v1203707347 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Active businesses | v1203707348 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Opening businesses | v1203707349 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Continuing businesses | v1203707350 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Closing businesses | v1203707351 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Active businesses | v1203707424 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Opening businesses | v1203707425 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Continuing businesses | v1203707426 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Closing businesses | v1203707427 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Active businesses | v1203707500 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Opening businesses | v1203707501 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Continuing businesses | v1203707502 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Closing businesses | v1203707503 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Forestry, fishing and hunting [11] · Active businesses | v1203707504 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Mining, quarrying, and oil and gas extraction [21] · Active businesses | v1203707508 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Utilities [22] · Active businesses | v1203707512 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Active businesses | v1203707516 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Opening businesses | v1203707517 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Continuing businesses | v1203707518 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Closing businesses | v1203707519 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Active businesses | v1203707520 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Opening businesses | v1203707521 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Continuing businesses | v1203707522 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Closing businesses | v1203707523 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Active businesses | v1203707524 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Opening businesses | v1203707525 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Continuing businesses | v1203707526 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Closing businesses | v1203707527 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Active businesses | v1203707528 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Opening businesses | v1203707529 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Continuing businesses | v1203707530 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Closing businesses | v1203707531 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Active businesses | v1203707532 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Opening businesses | v1203707533 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Continuing businesses | v1203707534 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Closing businesses | v1203707535 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Information and cultural industries [51] · Active businesses | v1203707536 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Information and cultural industries [51] · Opening businesses | v1203707537 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Information and cultural industries [51] · Continuing businesses | v1203707538 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Information and cultural industries [51] · Closing businesses | v1203707539 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Active businesses | v1203707540 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Opening businesses | v1203707541 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Continuing businesses | v1203707542 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Closing businesses | v1203707543 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Active businesses | v1203707544 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Opening businesses | v1203707545 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Continuing businesses | v1203707546 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Closing businesses | v1203707547 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Active businesses | v1203707548 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Opening businesses | v1203707549 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Continuing businesses | v1203707550 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Closing businesses | v1203707551 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Active businesses | v1203707552 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Opening businesses | v1203707553 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Continuing businesses | v1203707554 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Closing businesses | v1203707555 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Educational services [61] · Active businesses | v1203707556 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Educational services [61] · Opening businesses | v1203707557 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Educational services [61] · Continuing businesses | v1203707558 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Educational services [61] · Closing businesses | v1203707559 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Active businesses | v1203707560 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Opening businesses | v1203707561 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Continuing businesses | v1203707562 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Closing businesses | v1203707563 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Arts, entertainment and recreation [71] · Active businesses | v1203707564 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Arts, entertainment and recreation [71] · Opening businesses | v1203707565 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Arts, entertainment and recreation [71] · Continuing businesses | v1203707566 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Arts, entertainment and recreation [71] · Closing businesses | v1203707567 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Active businesses | v1203707568 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Opening businesses | v1203707569 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Continuing businesses | v1203707570 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Closing businesses | v1203707571 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Active businesses | v1203707572 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Opening businesses | v1203707573 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Continuing businesses | v1203707574 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Closing businesses | v1203707575 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Active businesses | v1203707576 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Opening businesses | v1203707577 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Continuing businesses | v1203707578 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Closing businesses | v1203707579 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Active businesses | v1203707652 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Opening businesses | v1203707653 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Continuing businesses | v1203707654 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Closing businesses | v1203707655 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Mining, quarrying, and oil and gas extraction [21] · Active businesses | v1203707660 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Active businesses | v1203707668 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Active businesses | v1203707672 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Active businesses | v1203707676 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Active businesses | v1203707680 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Active businesses | v1203707684 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Information and cultural industries [51] · Active businesses | v1203707688 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Active businesses | v1203707692 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Active businesses | v1203707696 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Active businesses | v1203707700 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Active businesses | v1203707704 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Educational services [61] · Active businesses | v1203707708 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Active businesses | v1203707712 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Arts, entertainment and recreation [71] · Active businesses | v1203707716 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Active businesses | v1203707720 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Active businesses | v1203707724 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Active businesses | v1203707728 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Opening businesses | v1203707729 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Continuing businesses | v1203707730 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Closing businesses | v1203707731 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Active businesses | v1203707744 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Active businesses | v1203707748 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Active businesses | v1203707752 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Active businesses | v1203707756 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Active businesses | v1203707760 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Information and cultural industries [51] · Active businesses | v1203707764 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Active businesses | v1203707768 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Active businesses | v1203707772 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Active businesses | v1203707776 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Active businesses | v1203707780 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Active businesses | v1203707788 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Arts, entertainment and recreation [71] · Active businesses | v1203707792 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Active businesses | v1203707796 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Active businesses | v1203707800 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Active businesses | v1203707804 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Active businesses | v1203707820 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Active businesses | v1203707832 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Active businesses | v1203707836 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Active businesses | v1203707844 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Active businesses | v1203707848 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Active businesses | v1203707852 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Active businesses | v1203707856 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Active businesses | v1203707864 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Active businesses | v1203707872 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Active businesses | v1203707876 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Active businesses | v1231413605 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Opening businesses | v1231413606 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Continuing businesses | v1231413607 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Closing businesses | v1231413608 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Active businesses | v1231413609 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Opening businesses | v1231413610 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Continuing businesses | v1231413611 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Closing businesses | v1231413612 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Active businesses | v1231413621 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Opening businesses | v1231413622 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Continuing businesses | v1231413623 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Closing businesses | v1231413624 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Active businesses | v1231413629 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Opening businesses | v1231413630 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Continuing businesses | v1231413631 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Closing businesses | v1231413632 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Active businesses | v1231413641 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Opening businesses | v1231413642 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Continuing businesses | v1231413643 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Closing businesses | v1231413644 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Active businesses | v1231413645 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Opening businesses | v1231413646 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Continuing businesses | v1231413647 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Closing businesses | v1231413648 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Active businesses | v1231413665 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Opening businesses | v1231413666 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Continuing businesses | v1231413667 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Closing businesses | v1231413668 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Active businesses | v1231413689 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Active businesses | v1231413693 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Opening businesses | v1231413694 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Continuing businesses | v1231413695 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Closing businesses | v1231413696 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Active businesses | v1231413701 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Opening businesses | v1231413702 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Continuing businesses | v1231413703 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Closing businesses | v1231413704 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Active businesses | v1231413709 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Active businesses | v1231413725 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Opening businesses | v1231413726 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Continuing businesses | v1231413727 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Closing businesses | v1231413728 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Active businesses | v1231413733 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Opening businesses | v1231413734 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Continuing businesses | v1231413735 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Closing businesses | v1231413736 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Active businesses | v1231413737 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Opening businesses | v1231413738 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Continuing businesses | v1231413739 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Closing businesses | v1231413740 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Active businesses | v1231413741 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Opening businesses | v1231413742 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Continuing businesses | v1231413743 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Closing businesses | v1231413744 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Active businesses | v1231413753 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Opening businesses | v1231413754 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Continuing businesses | v1231413755 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Closing businesses | v1231413756 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Active businesses | v1231413769 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Opening businesses | v1231413770 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Continuing businesses | v1231413771 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Closing businesses | v1231413772 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Active businesses | v1231413781 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Opening businesses | v1231413782 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Continuing businesses | v1231413783 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Closing businesses | v1231413784 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Active businesses | v1231413789 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Active businesses | v1231413793 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Active businesses | v1231413797 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Total tourism transportation · Active businesses | v1231413801 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Total tourism transportation · Opening businesses | v1231413802 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Total tourism transportation · Continuing businesses | v1231413803 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Total tourism transportation · Closing businesses | v1231413804 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Total tourism transportation · Active businesses | v1231413805 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Total tourism transportation · Active businesses | v1231413813 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Total tourism transportation · Active businesses | v1231413817 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Total tourism transportation · Active businesses | v1231413825 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Total tourism transportation · Active businesses | v1231413837 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Total tourism transportation · Opening businesses | v1231413838 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Total tourism transportation · Continuing businesses | v1231413839 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Total tourism transportation · Closing businesses | v1231413840 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Total tourism transportation · Active businesses | v1231413841 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Total tourism transportation · Active businesses | v1231413861 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Total tourism transportation · Opening businesses | v1231413862 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Total tourism transportation · Continuing businesses | v1231413863 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Total tourism transportation · Closing businesses | v1231413864 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Total tourism transportation · Active businesses | v1231413885 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Total tourism transportation · Active businesses | v1231413889 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Total tourism transportation · Active businesses | v1231413897 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Total tourism transportation · Active businesses | v1231413905 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Total tourism transportation · Active businesses | v1231413921 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Total tourism transportation · Opening businesses | v1231413922 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Total tourism transportation · Continuing businesses | v1231413923 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Total tourism transportation · Closing businesses | v1231413924 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Total tourism transportation · Active businesses | v1231413929 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Total tourism transportation · Active businesses | v1231413933 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Total tourism transportation · Active businesses | v1231413937 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Total tourism transportation · Active businesses | v1231413949 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Total tourism transportation · Active businesses | v1231413965 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Total tourism transportation · Opening businesses | v1231413966 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Total tourism transportation · Continuing businesses | v1231413967 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Total tourism transportation · Closing businesses | v1231413968 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Total tourism transportation · Active businesses | v1231413977 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Total tourism transportation · Active businesses | v1231413985 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Total tourism transportation · Active businesses | v1231413989 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Total tourism transportation · Active businesses | v1231413993 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Air transportation (tourism) [4811, 4812] · Active businesses | v1231413997 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Air transportation (tourism) [4811, 4812] · Active businesses | v1231414013 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Air transportation (tourism) [4811, 4812] · Active businesses | v1231414033 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Air transportation (tourism) [4811, 4812] · Active businesses | v1231414037 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Air transportation (tourism) [4811, 4812] · Active businesses | v1231414057 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Air transportation (tourism) [4811, 4812] · Active businesses | v1231414117 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Air transportation (tourism) [4811, 4812] · Active businesses | v1231414125 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Air transportation (tourism) [4811, 4812] · Active businesses | v1231414129 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Air transportation (tourism) [4811, 4812] · Active businesses | v1231414133 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Air transportation (tourism) [4811, 4812] · Active businesses | v1231414145 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Air transportation (tourism) [4811, 4812] · Active businesses | v1231414161 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Air transportation (tourism) [4811, 4812] · Active businesses | v1231414173 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Rail, scenic and sightseeing transportation (tourism) [482114, 487110, 487210, 487990] · Active businesses | v1231414193 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Rail, scenic and sightseeing transportation (tourism) [482114, 487110, 487210, 487990] · Active businesses | v1231414229 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Rail, scenic and sightseeing transportation (tourism) [482114, 487110, 487210, 487990] · Active businesses | v1231414233 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Rail, scenic and sightseeing transportation (tourism) [482114, 487110, 487210, 487990] · Active businesses | v1231414253 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Rail, scenic and sightseeing transportation (tourism) [482114, 487110, 487210, 487990] · Active businesses | v1231414313 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Rail, scenic and sightseeing transportation (tourism) [482114, 487110, 487210, 487990] · Active businesses | v1231414357 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Rail, scenic and sightseeing transportation (tourism) [482114, 487110, 487210, 487990] · Active businesses | v1231414369 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Water transportation (tourism) [483115, 483116, 483213, 483214] · Active businesses | v1231414389 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Water transportation (tourism) [483115, 483116, 483213, 483214] · Active businesses | v1231414393 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Water transportation (tourism) [483115, 483116, 483213, 483214] · Active businesses | v1231414405 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Water transportation (tourism) [483115, 483116, 483213, 483214] · Active businesses | v1231414413 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Water transportation (tourism) [483115, 483116, 483213, 483214] · Active businesses | v1231414425 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Water transportation (tourism) [483115, 483116, 483213, 483214] · Active businesses | v1231414429 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Water transportation (tourism) [483115, 483116, 483213, 483214] · Active businesses | v1231414449 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Water transportation (tourism) [483115, 483116, 483213, 483214] · Active businesses | v1231414509 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Water transportation (tourism) [483115, 483116, 483213, 483214] · Active businesses | v1231414553 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Water transportation (tourism) [483115, 483116, 483213, 483214] · Active businesses | v1231414565 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Bus transportation, taxi and limousine services, and vehicle rental (tourism) [485110, 485210, 485410, 485510, 485990, 485310, 485320, 532111, 532120] · Active businesses | v1231414585 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Bus transportation, taxi and limousine services, and vehicle rental (tourism) [485110, 485210, 485410, 485510, 485990, 485310, 485320, 532111, 532120] · Opening businesses | v1231414586 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Bus transportation, taxi and limousine services, and vehicle rental (tourism) [485110, 485210, 485410, 485510, 485990, 485310, 485320, 532111, 532120] · Continuing businesses | v1231414587 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Bus transportation, taxi and limousine services, and vehicle rental (tourism) [485110, 485210, 485410, 485510, 485990, 485310, 485320, 532111, 532120] · Closing businesses | v1231414588 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Bus transportation, taxi and limousine services, and vehicle rental (tourism) [485110, 485210, 485410, 485510, 485990, 485310, 485320, 532111, 532120] · Active businesses | v1231414589 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Bus transportation, taxi and limousine services, and vehicle rental (tourism) [485110, 485210, 485410, 485510, 485990, 485310, 485320, 532111, 532120] · Active businesses | v1231414601 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Bus transportation, taxi and limousine services, and vehicle rental (tourism) [485110, 485210, 485410, 485510, 485990, 485310, 485320, 532111, 532120] · Active businesses | v1231414609 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Bus transportation, taxi and limousine services, and vehicle rental (tourism) [485110, 485210, 485410, 485510, 485990, 485310, 485320, 532111, 532120] · Active businesses | v1231414621 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Bus transportation, taxi and limousine services, and vehicle rental (tourism) [485110, 485210, 485410, 485510, 485990, 485310, 485320, 532111, 532120] · Active businesses | v1231414625 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Bus transportation, taxi and limousine services, and vehicle rental (tourism) [485110, 485210, 485410, 485510, 485990, 485310, 485320, 532111, 532120] · Active businesses | v1231414645 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Bus transportation, taxi and limousine services, and vehicle rental (tourism) [485110, 485210, 485410, 485510, 485990, 485310, 485320, 532111, 532120] · Opening businesses | v1231414646 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Bus transportation, taxi and limousine services, and vehicle rental (tourism) [485110, 485210, 485410, 485510, 485990, 485310, 485320, 532111, 532120] · Continuing businesses | v1231414647 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Bus transportation, taxi and limousine services, and vehicle rental (tourism) [485110, 485210, 485410, 485510, 485990, 485310, 485320, 532111, 532120] · Closing businesses | v1231414648 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Bus transportation, taxi and limousine services, and vehicle rental (tourism) [485110, 485210, 485410, 485510, 485990, 485310, 485320, 532111, 532120] · Active businesses | v1231414669 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Bus transportation, taxi and limousine services, and vehicle rental (tourism) [485110, 485210, 485410, 485510, 485990, 485310, 485320, 532111, 532120] · Active businesses | v1231414673 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Bus transportation, taxi and limousine services, and vehicle rental (tourism) [485110, 485210, 485410, 485510, 485990, 485310, 485320, 532111, 532120] · Active businesses | v1231414681 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Bus transportation, taxi and limousine services, and vehicle rental (tourism) [485110, 485210, 485410, 485510, 485990, 485310, 485320, 532111, 532120] · Active businesses | v1231414689 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Bus transportation, taxi and limousine services, and vehicle rental (tourism) [485110, 485210, 485410, 485510, 485990, 485310, 485320, 532111, 532120] · Active businesses | v1231414705 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Bus transportation, taxi and limousine services, and vehicle rental (tourism) [485110, 485210, 485410, 485510, 485990, 485310, 485320, 532111, 532120] · Active businesses | v1231414713 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Bus transportation, taxi and limousine services, and vehicle rental (tourism) [485110, 485210, 485410, 485510, 485990, 485310, 485320, 532111, 532120] · Active businesses | v1231414717 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Bus transportation, taxi and limousine services, and vehicle rental (tourism) [485110, 485210, 485410, 485510, 485990, 485310, 485320, 532111, 532120] · Active businesses | v1231414721 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Bus transportation, taxi and limousine services, and vehicle rental (tourism) [485110, 485210, 485410, 485510, 485990, 485310, 485320, 532111, 532120] · Active businesses | v1231414733 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Bus transportation, taxi and limousine services, and vehicle rental (tourism) [485110, 485210, 485410, 485510, 485990, 485310, 485320, 532111, 532120] · Active businesses | v1231414749 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Bus transportation, taxi and limousine services, and vehicle rental (tourism) [485110, 485210, 485410, 485510, 485990, 485310, 485320, 532111, 532120] · Opening businesses | v1231414750 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Bus transportation, taxi and limousine services, and vehicle rental (tourism) [485110, 485210, 485410, 485510, 485990, 485310, 485320, 532111, 532120] · Continuing businesses | v1231414751 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Bus transportation, taxi and limousine services, and vehicle rental (tourism) [485110, 485210, 485410, 485510, 485990, 485310, 485320, 532111, 532120] · Closing businesses | v1231414752 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Bus transportation, taxi and limousine services, and vehicle rental (tourism) [485110, 485210, 485410, 485510, 485990, 485310, 485320, 532111, 532120] · Active businesses | v1231414761 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Travel services (tourism) [561510, 561520, 561590] · Active businesses | v1231414781 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Travel services (tourism) [561510, 561520, 561590] · Opening businesses | v1231414782 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Travel services (tourism) [561510, 561520, 561590] · Continuing businesses | v1231414783 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Travel services (tourism) [561510, 561520, 561590] · Closing businesses | v1231414784 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Travel services (tourism) [561510, 561520, 561590] · Active businesses | v1231414785 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Travel services (tourism) [561510, 561520, 561590] · Active businesses | v1231414797 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Travel services (tourism) [561510, 561520, 561590] · Active businesses | v1231414805 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Travel services (tourism) [561510, 561520, 561590] · Active businesses | v1231414817 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Travel services (tourism) [561510, 561520, 561590] · Active businesses | v1231414821 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Travel services (tourism) [561510, 561520, 561590] · Active businesses | v1231414841 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Travel services (tourism) [561510, 561520, 561590] · Opening businesses | v1231414842 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Travel services (tourism) [561510, 561520, 561590] · Continuing businesses | v1231414843 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Travel services (tourism) [561510, 561520, 561590] · Closing businesses | v1231414844 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Travel services (tourism) [561510, 561520, 561590] · Active businesses | v1231414869 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Travel services (tourism) [561510, 561520, 561590] · Active businesses | v1231414877 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Travel services (tourism) [561510, 561520, 561590] · Active businesses | v1231414885 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Travel services (tourism) [561510, 561520, 561590] · Active businesses | v1231414901 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Travel services (tourism) [561510, 561520, 561590] · Active businesses | v1231414909 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Travel services (tourism) [561510, 561520, 561590] · Active businesses | v1231414913 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Travel services (tourism) [561510, 561520, 561590] · Active businesses | v1231414917 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Travel services (tourism) [561510, 561520, 561590] · Active businesses | v1231414929 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Travel services (tourism) [561510, 561520, 561590] · Active businesses | v1231414945 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Travel services (tourism) [561510, 561520, 561590] · Active businesses | v1231414957 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Recreation and entertainment (tourism) [51213, 7111, 7112, 7113, 7115, 7121, 7131, 7132, 713910, 713920, 713930, 713950, 713990] · Active businesses | v1231414977 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Recreation and entertainment (tourism) [51213, 7111, 7112, 7113, 7115, 7121, 7131, 7132, 713910, 713920, 713930, 713950, 713990] · Opening businesses | v1231414978 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Recreation and entertainment (tourism) [51213, 7111, 7112, 7113, 7115, 7121, 7131, 7132, 713910, 713920, 713930, 713950, 713990] · Continuing businesses | v1231414979 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Recreation and entertainment (tourism) [51213, 7111, 7112, 7113, 7115, 7121, 7131, 7132, 713910, 713920, 713930, 713950, 713990] · Closing businesses | v1231414980 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Recreation and entertainment (tourism) [51213, 7111, 7112, 7113, 7115, 7121, 7131, 7132, 713910, 713920, 713930, 713950, 713990] · Active businesses | v1231414981 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Recreation and entertainment (tourism) [51213, 7111, 7112, 7113, 7115, 7121, 7131, 7132, 713910, 713920, 713930, 713950, 713990] · Active businesses | v1231414989 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Recreation and entertainment (tourism) [51213, 7111, 7112, 7113, 7115, 7121, 7131, 7132, 713910, 713920, 713930, 713950, 713990] · Active businesses | v1231414993 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Recreation and entertainment (tourism) [51213, 7111, 7112, 7113, 7115, 7121, 7131, 7132, 713910, 713920, 713930, 713950, 713990] · Active businesses | v1231415001 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Recreation and entertainment (tourism) [51213, 7111, 7112, 7113, 7115, 7121, 7131, 7132, 713910, 713920, 713930, 713950, 713990] · Active businesses | v1231415013 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Recreation and entertainment (tourism) [51213, 7111, 7112, 7113, 7115, 7121, 7131, 7132, 713910, 713920, 713930, 713950, 713990] · Opening businesses | v1231415014 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Recreation and entertainment (tourism) [51213, 7111, 7112, 7113, 7115, 7121, 7131, 7132, 713910, 713920, 713930, 713950, 713990] · Continuing businesses | v1231415015 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Recreation and entertainment (tourism) [51213, 7111, 7112, 7113, 7115, 7121, 7131, 7132, 713910, 713920, 713930, 713950, 713990] · Closing businesses | v1231415016 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Recreation and entertainment (tourism) [51213, 7111, 7112, 7113, 7115, 7121, 7131, 7132, 713910, 713920, 713930, 713950, 713990] · Active businesses | v1231415017 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Recreation and entertainment (tourism) [51213, 7111, 7112, 7113, 7115, 7121, 7131, 7132, 713910, 713920, 713930, 713950, 713990] · Opening businesses | v1231415018 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Recreation and entertainment (tourism) [51213, 7111, 7112, 7113, 7115, 7121, 7131, 7132, 713910, 713920, 713930, 713950, 713990] · Continuing businesses | v1231415019 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Recreation and entertainment (tourism) [51213, 7111, 7112, 7113, 7115, 7121, 7131, 7132, 713910, 713920, 713930, 713950, 713990] · Closing businesses | v1231415020 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Recreation and entertainment (tourism) [51213, 7111, 7112, 7113, 7115, 7121, 7131, 7132, 713910, 713920, 713930, 713950, 713990] · Active businesses | v1231415037 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Recreation and entertainment (tourism) [51213, 7111, 7112, 7113, 7115, 7121, 7131, 7132, 713910, 713920, 713930, 713950, 713990] · Opening businesses | v1231415038 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Recreation and entertainment (tourism) [51213, 7111, 7112, 7113, 7115, 7121, 7131, 7132, 713910, 713920, 713930, 713950, 713990] · Continuing businesses | v1231415039 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Recreation and entertainment (tourism) [51213, 7111, 7112, 7113, 7115, 7121, 7131, 7132, 713910, 713920, 713930, 713950, 713990] · Closing businesses | v1231415040 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Recreation and entertainment (tourism) [51213, 7111, 7112, 7113, 7115, 7121, 7131, 7132, 713910, 713920, 713930, 713950, 713990] · Active businesses | v1231415061 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Recreation and entertainment (tourism) [51213, 7111, 7112, 7113, 7115, 7121, 7131, 7132, 713910, 713920, 713930, 713950, 713990] · Active businesses | v1231415065 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Recreation and entertainment (tourism) [51213, 7111, 7112, 7113, 7115, 7121, 7131, 7132, 713910, 713920, 713930, 713950, 713990] · Active businesses | v1231415073 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Recreation and entertainment (tourism) [51213, 7111, 7112, 7113, 7115, 7121, 7131, 7132, 713910, 713920, 713930, 713950, 713990] · Active businesses | v1231415081 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Recreation and entertainment (tourism) [51213, 7111, 7112, 7113, 7115, 7121, 7131, 7132, 713910, 713920, 713930, 713950, 713990] · Active businesses | v1231415097 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Recreation and entertainment (tourism) [51213, 7111, 7112, 7113, 7115, 7121, 7131, 7132, 713910, 713920, 713930, 713950, 713990] · Opening businesses | v1231415098 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Recreation and entertainment (tourism) [51213, 7111, 7112, 7113, 7115, 7121, 7131, 7132, 713910, 713920, 713930, 713950, 713990] · Continuing businesses | v1231415099 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Recreation and entertainment (tourism) [51213, 7111, 7112, 7113, 7115, 7121, 7131, 7132, 713910, 713920, 713930, 713950, 713990] · Closing businesses | v1231415100 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Recreation and entertainment (tourism) [51213, 7111, 7112, 7113, 7115, 7121, 7131, 7132, 713910, 713920, 713930, 713950, 713990] · Active businesses | v1231415105 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Recreation and entertainment (tourism) [51213, 7111, 7112, 7113, 7115, 7121, 7131, 7132, 713910, 713920, 713930, 713950, 713990] · Active businesses | v1231415109 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Recreation and entertainment (tourism) [51213, 7111, 7112, 7113, 7115, 7121, 7131, 7132, 713910, 713920, 713930, 713950, 713990] · Active businesses | v1231415113 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Recreation and entertainment (tourism) [51213, 7111, 7112, 7113, 7115, 7121, 7131, 7132, 713910, 713920, 713930, 713950, 713990] · Active businesses | v1231415125 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Recreation and entertainment (tourism) [51213, 7111, 7112, 7113, 7115, 7121, 7131, 7132, 713910, 713920, 713930, 713950, 713990] · Opening businesses | v1231415126 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Recreation and entertainment (tourism) [51213, 7111, 7112, 7113, 7115, 7121, 7131, 7132, 713910, 713920, 713930, 713950, 713990] · Continuing businesses | v1231415127 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Recreation and entertainment (tourism) [51213, 7111, 7112, 7113, 7115, 7121, 7131, 7132, 713910, 713920, 713930, 713950, 713990] · Closing businesses | v1231415128 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Recreation and entertainment (tourism) [51213, 7111, 7112, 7113, 7115, 7121, 7131, 7132, 713910, 713920, 713930, 713950, 713990] · Active businesses | v1231415141 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Recreation and entertainment (tourism) [51213, 7111, 7112, 7113, 7115, 7121, 7131, 7132, 713910, 713920, 713930, 713950, 713990] · Opening businesses | v1231415142 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Recreation and entertainment (tourism) [51213, 7111, 7112, 7113, 7115, 7121, 7131, 7132, 713910, 713920, 713930, 713950, 713990] · Continuing businesses | v1231415143 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Recreation and entertainment (tourism) [51213, 7111, 7112, 7113, 7115, 7121, 7131, 7132, 713910, 713920, 713930, 713950, 713990] · Closing businesses | v1231415144 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Recreation and entertainment (tourism) [51213, 7111, 7112, 7113, 7115, 7121, 7131, 7132, 713910, 713920, 713930, 713950, 713990] · Active businesses | v1231415153 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Recreation and entertainment (tourism) [51213, 7111, 7112, 7113, 7115, 7121, 7131, 7132, 713910, 713920, 713930, 713950, 713990] · Opening businesses | v1231415154 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Recreation and entertainment (tourism) [51213, 7111, 7112, 7113, 7115, 7121, 7131, 7132, 713910, 713920, 713930, 713950, 713990] · Continuing businesses | v1231415155 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Recreation and entertainment (tourism) [51213, 7111, 7112, 7113, 7115, 7121, 7131, 7132, 713910, 713920, 713930, 713950, 713990] · Closing businesses | v1231415156 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Recreation and entertainment (tourism) [51213, 7111, 7112, 7113, 7115, 7121, 7131, 7132, 713910, 713920, 713930, 713950, 713990] · Active businesses | v1231415161 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Recreation and entertainment (tourism) [51213, 7111, 7112, 7113, 7115, 7121, 7131, 7132, 713910, 713920, 713930, 713950, 713990] · Active businesses | v1231415165 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation (tourism) [721111, 721112, 721113, 721120, 721114, 721211, 721213, 721191, 721192, 721198, 721212] · Active businesses | v1231415173 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation (tourism) [721111, 721112, 721113, 721120, 721114, 721211, 721213, 721191, 721192, 721198, 721212] · Opening businesses | v1231415174 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation (tourism) [721111, 721112, 721113, 721120, 721114, 721211, 721213, 721191, 721192, 721198, 721212] · Continuing businesses | v1231415175 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation (tourism) [721111, 721112, 721113, 721120, 721114, 721211, 721213, 721191, 721192, 721198, 721212] · Closing businesses | v1231415176 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation (tourism) [721111, 721112, 721113, 721120, 721114, 721211, 721213, 721191, 721192, 721198, 721212] · Active businesses | v1231415177 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation (tourism) [721111, 721112, 721113, 721120, 721114, 721211, 721213, 721191, 721192, 721198, 721212] · Active businesses | v1231415185 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation (tourism) [721111, 721112, 721113, 721120, 721114, 721211, 721213, 721191, 721192, 721198, 721212] · Active businesses | v1231415189 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation (tourism) [721111, 721112, 721113, 721120, 721114, 721211, 721213, 721191, 721192, 721198, 721212] · Active businesses | v1231415197 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation (tourism) [721111, 721112, 721113, 721120, 721114, 721211, 721213, 721191, 721192, 721198, 721212] · Active businesses | v1231415209 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation (tourism) [721111, 721112, 721113, 721120, 721114, 721211, 721213, 721191, 721192, 721198, 721212] · Active businesses | v1231415213 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation (tourism) [721111, 721112, 721113, 721120, 721114, 721211, 721213, 721191, 721192, 721198, 721212] · Active businesses | v1231415233 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation (tourism) [721111, 721112, 721113, 721120, 721114, 721211, 721213, 721191, 721192, 721198, 721212] · Opening businesses | v1231415234 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation (tourism) [721111, 721112, 721113, 721120, 721114, 721211, 721213, 721191, 721192, 721198, 721212] · Continuing businesses | v1231415235 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation (tourism) [721111, 721112, 721113, 721120, 721114, 721211, 721213, 721191, 721192, 721198, 721212] · Closing businesses | v1231415236 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation (tourism) [721111, 721112, 721113, 721120, 721114, 721211, 721213, 721191, 721192, 721198, 721212] · Active businesses | v1231415257 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation (tourism) [721111, 721112, 721113, 721120, 721114, 721211, 721213, 721191, 721192, 721198, 721212] · Active businesses | v1231415261 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation (tourism) [721111, 721112, 721113, 721120, 721114, 721211, 721213, 721191, 721192, 721198, 721212] · Active businesses | v1231415269 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation (tourism) [721111, 721112, 721113, 721120, 721114, 721211, 721213, 721191, 721192, 721198, 721212] · Active businesses | v1231415277 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation (tourism) [721111, 721112, 721113, 721120, 721114, 721211, 721213, 721191, 721192, 721198, 721212] · Active businesses | v1231415293 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation (tourism) [721111, 721112, 721113, 721120, 721114, 721211, 721213, 721191, 721192, 721198, 721212] · Active businesses | v1231415301 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation (tourism) [721111, 721112, 721113, 721120, 721114, 721211, 721213, 721191, 721192, 721198, 721212] · Active businesses | v1231415305 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation (tourism) [721111, 721112, 721113, 721120, 721114, 721211, 721213, 721191, 721192, 721198, 721212] · Active businesses | v1231415309 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation (tourism) [721111, 721112, 721113, 721120, 721114, 721211, 721213, 721191, 721192, 721198, 721212] · Active businesses | v1231415321 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation (tourism) [721111, 721112, 721113, 721120, 721114, 721211, 721213, 721191, 721192, 721198, 721212] · Opening businesses | v1231415322 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation (tourism) [721111, 721112, 721113, 721120, 721114, 721211, 721213, 721191, 721192, 721198, 721212] · Continuing businesses | v1231415323 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation (tourism) [721111, 721112, 721113, 721120, 721114, 721211, 721213, 721191, 721192, 721198, 721212] · Closing businesses | v1231415324 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation (tourism) [721111, 721112, 721113, 721120, 721114, 721211, 721213, 721191, 721192, 721198, 721212] · Active businesses | v1231415337 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation (tourism) [721111, 721112, 721113, 721120, 721114, 721211, 721213, 721191, 721192, 721198, 721212] · Opening businesses | v1231415338 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation (tourism) [721111, 721112, 721113, 721120, 721114, 721211, 721213, 721191, 721192, 721198, 721212] · Continuing businesses | v1231415339 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation (tourism) [721111, 721112, 721113, 721120, 721114, 721211, 721213, 721191, 721192, 721198, 721212] · Closing businesses | v1231415340 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation (tourism) [721111, 721112, 721113, 721120, 721114, 721211, 721213, 721191, 721192, 721198, 721212] · Active businesses | v1231415349 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation (tourism) [721111, 721112, 721113, 721120, 721114, 721211, 721213, 721191, 721192, 721198, 721212] · Active businesses | v1231415357 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation (tourism) [721111, 721112, 721113, 721120, 721114, 721211, 721213, 721191, 721192, 721198, 721212] · Active businesses | v1231415361 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation (tourism) [721111, 721112, 721113, 721120, 721114, 721211, 721213, 721191, 721192, 721198, 721212] · Active businesses | v1231415365 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Active businesses | v1231415369 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Opening businesses | v1231415370 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Continuing businesses | v1231415371 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Closing businesses | v1231415372 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Active businesses | v1231415373 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Active businesses | v1231415381 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Active businesses | v1231415385 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Opening businesses | v1231415386 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Continuing businesses | v1231415387 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Closing businesses | v1231415388 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Active businesses | v1231415393 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Opening businesses | v1231415394 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Continuing businesses | v1231415395 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Closing businesses | v1231415396 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Active businesses | v1231415405 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Opening businesses | v1231415406 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Continuing businesses | v1231415407 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Closing businesses | v1231415408 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Active businesses | v1231415409 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Opening businesses | v1231415410 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Continuing businesses | v1231415411 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Closing businesses | v1231415412 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Active businesses | v1231415429 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Opening businesses | v1231415430 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Continuing businesses | v1231415431 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Closing businesses | v1231415432 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Active businesses | v1231415453 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Active businesses | v1231415457 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Active businesses | v1231415465 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Opening businesses | v1231415466 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Continuing businesses | v1231415467 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Closing businesses | v1231415468 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Active businesses | v1231415473 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Active businesses | v1231415489 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Opening businesses | v1231415490 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Continuing businesses | v1231415491 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Closing businesses | v1231415492 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Active businesses | v1231415497 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Opening businesses | v1231415498 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Continuing businesses | v1231415499 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Closing businesses | v1231415500 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Active businesses | v1231415501 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Active businesses | v1231415505 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Opening businesses | v1231415506 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Continuing businesses | v1231415507 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Closing businesses | v1231415508 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Active businesses | v1231415517 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Opening businesses | v1231415518 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Beverage and tobacco product manufacturing [312] · Active businesses | v1247780506 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Continuing businesses | v1231415519 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Closing businesses | v1231415520 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Active businesses | v1231415533 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Opening businesses | v1231415534 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Continuing businesses | v1231415535 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Closing businesses | v1231415536 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Active businesses | v1231415545 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Opening businesses | v1231415546 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Continuing businesses | v1231415547 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Closing businesses | v1231415548 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Active businesses | v1231415553 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Active businesses | v1231415557 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food manufacturing [311] · Active businesses | v1247780270 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food manufacturing [311] · Opening businesses | v1247780271 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food manufacturing [311] · Continuing businesses | v1247780272 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food manufacturing [311] · Closing businesses | v1247780273 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food manufacturing [311] · Active businesses | v1247780274 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food manufacturing [311] · Active businesses | v1247780282 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food manufacturing [311] · Active businesses | v1247780286 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food manufacturing [311] · Active businesses | v1247780294 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food manufacturing [311] · Active businesses | v1247780306 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food manufacturing [311] · Opening businesses | v1247780307 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food manufacturing [311] · Continuing businesses | v1247780308 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food manufacturing [311] · Closing businesses | v1247780309 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food manufacturing [311] · Active businesses | v1247780310 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food manufacturing [311] · Active businesses | v1247780330 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food manufacturing [311] · Opening businesses | v1247780331 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food manufacturing [311] · Continuing businesses | v1247780332 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food manufacturing [311] · Closing businesses | v1247780333 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food manufacturing [311] · Active businesses | v1247780354 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food manufacturing [311] · Active businesses | v1247780358 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food manufacturing [311] · Active businesses | v1247780366 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food manufacturing [311] · Active businesses | v1247780374 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food manufacturing [311] · Active businesses | v1247780390 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food manufacturing [311] · Opening businesses | v1247780391 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food manufacturing [311] · Continuing businesses | v1247780392 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food manufacturing [311] · Closing businesses | v1247780393 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food manufacturing [311] · Active businesses | v1247780398 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food manufacturing [311] · Active businesses | v1247780402 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food manufacturing [311] · Active businesses | v1247780406 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food manufacturing [311] · Active businesses | v1247780418 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food manufacturing [311] · Active businesses | v1247780434 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food manufacturing [311] · Opening businesses | v1247780435 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food manufacturing [311] · Continuing businesses | v1247780436 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food manufacturing [311] · Closing businesses | v1247780437 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food manufacturing [311] · Active businesses | v1247780446 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Beverage and tobacco product manufacturing [312] · Active businesses | v1247780466 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Beverage and tobacco product manufacturing [312] · Opening businesses | v1247780467 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Beverage and tobacco product manufacturing [312] · Continuing businesses | v1247780468 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Beverage and tobacco product manufacturing [312] · Closing businesses | v1247780469 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Beverage and tobacco product manufacturing [312] · Active businesses | v1247780470 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Beverage and tobacco product manufacturing [312] · Active businesses | v1247780482 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Beverage and tobacco product manufacturing [312] · Active businesses | v1247780490 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Beverage and tobacco product manufacturing [312] · Active businesses | v1247780502 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Beverage and tobacco product manufacturing [312] · Active businesses | v1247780526 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Beverage and tobacco product manufacturing [312] · Active businesses | v1247780554 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Beverage and tobacco product manufacturing [312] · Active businesses | v1247780562 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Beverage and tobacco product manufacturing [312] · Active businesses | v1247780586 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Beverage and tobacco product manufacturing [312] · Active businesses | v1247780594 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Beverage and tobacco product manufacturing [312] · Active businesses | v1247780598 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Beverage and tobacco product manufacturing [312] · Active businesses | v1247780602 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Beverage and tobacco product manufacturing [312] · Active businesses | v1247780614 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Beverage and tobacco product manufacturing [312] · Active businesses | v1247780630 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Beverage and tobacco product manufacturing [312] · Active businesses | v1247780642 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Active businesses | v1247788765 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Opening businesses | v1247788766 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Continuing businesses | v1247788767 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Closing businesses | v1247788768 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Active businesses | v1247788769 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Opening businesses | v1247788770 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Continuing businesses | v1247788771 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Closing businesses | v1247788772 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Active businesses | v1247788777 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Opening businesses | v1247788778 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Continuing businesses | v1247788779 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Closing businesses | v1247788780 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Active businesses | v1247788781 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Opening businesses | v1247788782 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Continuing businesses | v1247788783 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Closing businesses | v1247788784 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Active businesses | v1247788789 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Opening businesses | v1247788790 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Continuing businesses | v1247788791 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Closing businesses | v1247788792 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Active businesses | v1247788801 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Opening businesses | v1247788802 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Continuing businesses | v1247788803 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Closing businesses | v1247788804 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Active businesses | v1247788805 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Opening businesses | v1247788806 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Continuing businesses | v1247788807 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Closing businesses | v1247788808 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Active businesses | v1247788825 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Opening businesses | v1247788826 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Continuing businesses | v1247788827 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Closing businesses | v1247788828 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Active businesses | v1247788849 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Opening businesses | v1247788850 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Continuing businesses | v1247788851 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Closing businesses | v1247788852 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Active businesses | v1247788853 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Opening businesses | v1247788854 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Continuing businesses | v1247788855 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Closing businesses | v1247788856 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Active businesses | v1247788861 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Opening businesses | v1247788862 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Continuing businesses | v1247788863 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Closing businesses | v1247788864 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Active businesses | v1247788869 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Opening businesses | v1247788870 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Continuing businesses | v1247788871 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Closing businesses | v1247788872 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Active businesses | v1247788885 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Opening businesses | v1247788886 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Continuing businesses | v1247788887 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Closing businesses | v1247788888 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Active businesses | v1247788893 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Opening businesses | v1247788894 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Continuing businesses | v1247788895 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Closing businesses | v1247788896 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Active businesses | v1247788897 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Opening businesses | v1247788898 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Continuing businesses | v1247788899 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Closing businesses | v1247788900 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Active businesses | v1247788901 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Opening businesses | v1247788902 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Continuing businesses | v1247788903 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Closing businesses | v1247788904 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Active businesses | v1247788913 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Opening businesses | v1247788914 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Continuing businesses | v1247788915 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Closing businesses | v1247788916 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Active businesses | v1247788929 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Opening businesses | v1247788930 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Continuing businesses | v1247788931 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Closing businesses | v1247788932 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Active businesses | v1247788941 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Opening businesses | v1247788942 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Continuing businesses | v1247788943 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Closing businesses | v1247788944 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Active businesses | v1247788949 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Opening businesses | v1247788950 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Continuing businesses | v1247788951 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Closing businesses | v1247788952 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Active businesses | v1247788953 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Opening businesses | v1247788954 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Continuing businesses | v1247788955 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Closing businesses | v1247788956 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Active businesses | v1247788957 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Reopening businesses | v1271257923 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Reopening businesses | v1271257924 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Reopening businesses | v1271257926 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Reopening businesses | v1271257927 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Reopening businesses | v1271257929 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Reopening businesses | v1271257932 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Reopening businesses | v1271257938 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Reopening businesses | v1271257955 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Reopening businesses | v1271257957 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Reopening businesses | v1271257960 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Reopening businesses | v1271257964 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Forestry, fishing and hunting [11] · Reopening businesses | v1271257972 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Mining, quarrying, and oil and gas extraction [21] · Reopening businesses | v1271258021 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Reopening businesses | v1271258119 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Reopening businesses | v1271258168 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Reopening businesses | v1271258217 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Reopening businesses | v1271258266 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Reopening businesses | v1271258315 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Information and cultural industries [51] · Reopening businesses | v1271258364 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Reopening businesses | v1271258413 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Reopening businesses | v1271258462 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Reopening businesses | v1271258511 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Reopening businesses | v1271258560 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Educational services [61] · Reopening businesses | v1271258609 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Reopening businesses | v1271258658 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Arts, entertainment and recreation [71] · Reopening businesses | v1271258707 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Reopening businesses | v1271258756 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Reopening businesses | v1271258805 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Reopening businesses | v1271258854 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Total tourism transportation · Reopening businesses | v1271258903 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Bus transportation, taxi and limousine services, and vehicle rental (tourism) [485110, 485210, 485410, 485510, 485990, 485310, 485320, 532111, 532120] · Reopening businesses | v1271259099 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Recreation and entertainment (tourism) [51213, 7111, 7112, 7113, 7115, 7121, 7131, 7132, 713910, 713920, 713930, 713950, 713990] · Reopening businesses | v1271259197 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation (tourism) [721111, 721112, 721113, 721120, 721114, 721211, 721213, 721191, 721192, 721198, 721212] · Reopening businesses | v1271259246 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Reopening businesses | v1271259295 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food manufacturing [311] · Reopening businesses | v1271259344 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Reopening businesses | v1271259442 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Reopening businesses | v1271259443 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Reopening businesses | v1271259445 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Reopening businesses | v1271259446 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Reopening businesses | v1271259448 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Reopening businesses | v1271259451 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Reopening businesses | v1271259457 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Reopening businesses | v1271259474 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Reopening businesses | v1271259476 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Reopening businesses | v1271259479 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Reopening businesses | v1271259483 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Entrants | v1271259491 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Entrants | v1271259492 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Entrants | v1271259494 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Entrants | v1271259495 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Entrants | v1271259497 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Entrants | v1271259500 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Entrants | v1271259506 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Entrants | v1271259523 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Entrants | v1271259525 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Entrants | v1271259528 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Entrants | v1271259532 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Forestry, fishing and hunting [11] · Entrants | v1271259540 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Mining, quarrying, and oil and gas extraction [21] · Entrants | v1271259589 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Entrants | v1271259687 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Entrants | v1271259736 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Entrants | v1271259785 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Entrants | v1271259834 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Entrants | v1271259883 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Information and cultural industries [51] · Entrants | v1271259932 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Entrants | v1271259981 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Entrants | v1271260030 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Entrants | v1271260079 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Entrants | v1271260128 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Educational services [61] · Entrants | v1271260177 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Entrants | v1271260226 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Arts, entertainment and recreation [71] · Entrants | v1271260275 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Entrants | v1271260324 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Entrants | v1271260373 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Entrants | v1271260422 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Total tourism transportation · Entrants | v1271260471 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Bus transportation, taxi and limousine services, and vehicle rental (tourism) [485110, 485210, 485410, 485510, 485990, 485310, 485320, 532111, 532120] · Entrants | v1271260667 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Recreation and entertainment (tourism) [51213, 7111, 7112, 7113, 7115, 7121, 7131, 7132, 713910, 713920, 713930, 713950, 713990] · Entrants | v1271260765 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation (tourism) [721111, 721112, 721113, 721120, 721114, 721211, 721213, 721191, 721192, 721198, 721212] · Entrants | v1271260814 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Entrants | v1271260863 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food manufacturing [311] · Entrants | v1271260912 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Entrants | v1271261010 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Entrants | v1271261011 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Entrants | v1271261013 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Entrants | v1271261014 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Entrants | v1271261016 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Entrants | v1271261019 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Entrants | v1271261025 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Entrants | v1271261042 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Entrants | v1271261044 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Entrants | v1271261047 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Entrants | v1271261051 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Temporary closures | v1296953329 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Temporary closures | v1296953330 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Temporary closures | v1296953332 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Temporary closures | v1296953333 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Temporary closures | v1296953335 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Temporary closures | v1296953338 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Temporary closures | v1296953344 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Temporary closures | v1296953361 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Temporary closures | v1296953363 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Temporary closures | v1296953366 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Temporary closures | v1296953370 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Forestry, fishing and hunting [11] · Temporary closures | v1296953378 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Mining, quarrying, and oil and gas extraction [21] · Temporary closures | v1296953427 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Temporary closures | v1296953525 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Temporary closures | v1296953574 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Temporary closures | v1296953623 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Temporary closures | v1296953672 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Temporary closures | v1296953721 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Information and cultural industries [51] · Temporary closures | v1296953770 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Temporary closures | v1296953819 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Temporary closures | v1296953868 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Temporary closures | v1296953917 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Temporary closures | v1296953966 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Educational services [61] · Temporary closures | v1296954015 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Temporary closures | v1296954064 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Arts, entertainment and recreation [71] · Temporary closures | v1296954113 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Temporary closures | v1296954162 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Temporary closures | v1296954211 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Temporary closures | v1296954260 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Total tourism transportation · Temporary closures | v1296954309 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Bus transportation, taxi and limousine services, and vehicle rental (tourism) [485110, 485210, 485410, 485510, 485990, 485310, 485320, 532111, 532120] · Temporary closures | v1296954505 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Travel services (tourism) [561510, 561520, 561590] · Temporary closures | v1296954554 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Recreation and entertainment (tourism) [51213, 7111, 7112, 7113, 7115, 7121, 7131, 7132, 713910, 713920, 713930, 713950, 713990] · Temporary closures | v1296954603 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation (tourism) [721111, 721112, 721113, 721120, 721114, 721211, 721213, 721191, 721192, 721198, 721212] · Temporary closures | v1296954652 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Temporary closures | v1296954701 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food manufacturing [311] · Temporary closures | v1296954750 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Temporary closures | v1296954848 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Temporary closures | v1296954849 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Temporary closures | v1296954851 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Temporary closures | v1296954852 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Temporary closures | v1296954854 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Temporary closures | v1296954857 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Temporary closures | v1296954863 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Temporary closures | v1296954880 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Temporary closures | v1296954882 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Temporary closures | v1296954885 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Temporary closures | v1296954889 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Exits | v1296954897 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Exits | v1296954898 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Exits | v1296954900 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Exits | v1296954901 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Exits | v1296954903 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Exits | v1296954906 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Exits | v1296954912 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Exits | v1296954929 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Exits | v1296954931 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Exits | v1296954934 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries [T004] · Exits | v1296954938 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Forestry, fishing and hunting [11] · Exits | v1296954946 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Mining, quarrying, and oil and gas extraction [21] · Exits | v1296954995 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Construction [23] · Exits | v1296955093 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Manufacturing [31-33] · Exits | v1296955142 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Wholesale trade [41] · Exits | v1296955191 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Retail trade [44-45] · Exits | v1296955240 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Transportation and warehousing [48-49] · Exits | v1296955289 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Information and cultural industries [51] · Exits | v1296955338 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Finance and insurance and Management of companies and enterprises [52, 55] · Exits | v1296955387 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Real estate and rental and leasing [53] · Exits | v1296955436 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Professional, scientific and technical services [54] · Exits | v1296955485 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Administrative and support, waste management and remediation services [56] · Exits | v1296955534 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Educational services [61] · Exits | v1296955583 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Health care and social assistance [62] · Exits | v1296955632 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Arts, entertainment and recreation [71] · Exits | v1296955681 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation and food services [72] · Exits | v1296955730 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Other services (except public administration) [81] · Exits | v1296955779 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Tourism industry · Exits | v1296955828 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Total tourism transportation · Exits | v1296955877 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Bus transportation, taxi and limousine services, and vehicle rental (tourism) [485110, 485210, 485410, 485510, 485990, 485310, 485320, 532111, 532120] · Exits | v1296956073 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Travel services (tourism) [561510, 561520, 561590] · Exits | v1296956122 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Recreation and entertainment (tourism) [51213, 7111, 7112, 7113, 7115, 7121, 7131, 7132, 713910, 713920, 713930, 713950, 713990] · Exits | v1296956171 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Accommodation (tourism) [721111, 721112, 721113, 721120, 721114, 721211, 721213, 721191, 721192, 721198, 721212] · Exits | v1296956220 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food and beverage services (tourism) [722511, 722512, 722410] · Exits | v1296956269 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Food manufacturing [311] · Exits | v1296956318 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Exits | v1296956416 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Exits | v1296956417 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Exits | v1296956419 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Exits | v1296956420 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Exits | v1296956422 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Exits | v1296956425 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Exits | v1296956431 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Exits | v1296956448 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Exits | v1296956450 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Exits | v1296956453 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
| Business sector industries (except educational services and health care and social assistance) · Exits | v1296956457 | Number | Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had payroll employees; the series is experimental and revised. Quebec appears as a province alongside the others, so provincial comparison is direct. |
Canada: monthly GDP by industry
Statistics Canada · STATCAN-OPEN · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Seasonally adjusted at annual rates · Chained (2017) dollars · Crop production (except cannabis) [111X] | v1059424624 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Cannabis production (licensed) [111CL] | v1059424626 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Cannabis production (unlicensed) [111CU] | v1059424627 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Cannabis retailers (licensed) [459BL] | v1059424630 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Cannabis retailers (unlicensed) [459BU] | v1059424631 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Crop production (except cannabis) [111X] | v1059424638 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Cannabis production (licensed) [111CL] | v1059424640 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Cannabis production (unlicensed) [111CU] | v1059424641 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Cannabis retailers (licensed) [459BL] | v1059424644 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Cannabis retailers (unlicensed) [459BU] | v1059424645 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Crop production (except cannabis) [111X] | v1059424666 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Cannabis production (licensed) [111CL] | v1059424668 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Cannabis production (unlicensed) [111CU] | v1059424669 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Cannabis retailers (licensed) [459BL] | v1059424672 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Cannabis retailers (unlicensed) [459BU] | v1059424673 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Crop production (except cannabis, greenhouse, nursery and floriculture production) [111A] | v1806917162 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Greenhouse, nursery and floriculture production (except cannabis) [1114A] | v1806917163 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Animal production (except aquaculture) [112A] | v1806917164 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Aquaculture [1125] | v1806917165 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Support activities for crop and animal production [115A] | v1806917166 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Support activities for forestry [1153] | v1806917167 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Support activities for oil and gas extraction [21311A] | v1806917168 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Support activities for mining [21311B] | v1806917169 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Miscellaneous chemical product manufacturing [325C] | v1806917170 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Other miscellaneous chemical product manufacturing [325A] | v1806917171 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Furniture, home furnishings, electronics and appliances retailers [449] | v1806917172 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · General merchandise retailers [455] | v1806917173 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Health and personal care retailers [456] | v1806917174 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Gasoline stations and fuel vendors [457] | v1806917175 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Clothing, clothing accessories, shoes, jewelry, luggage and leather goods retailers [458] | v1806917176 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Sporting goods, hobby, musical instrument, book, and miscellaneous retailers [459] | v1806917177 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Sporting goods, hobby, musical instrument, book, and miscellaneous retailers (except cannabis) [459A] | v1806917178 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Retail trade (except cannabis) [4AA] | v1806917179 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Motion picture and video industries [5121] | v1806917180 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Sound recording industries [5122] | v1806917181 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Newspaper, periodical, book and directory publishers [5131] | v1806917182 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Software publishers [5132] | v1806917183 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Broadcasting and content providers [516] | v1806917184 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Radio and television broadcasting stations [5161] | v1806917185 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Media streaming distribution services and other media networks and content providers [5162] | v1806917186 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Pay and specialty television, telecommunications and other information services [51A] | v1806917187 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Other finance and insurance [52E] | v1806917188 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Financial auxiliaries [52C] | v1806917189 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Other financial intermediaries [52D] | v1806917190 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Funds and other financial vehicles (except securitization vehicles) [526A] | v1806917191 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Rental and leasing services (except automotive equipment) and lessors of non-financial intangible assets (except copyrighted works) [53A] | v1806917192 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Other administrative and support services [561B] | v1806917193 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Automotive repair and maintenance [8111] | v1806917194 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Repair and maintenance (except automotive) [811A] | v1806917195 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Crop production (except cannabis, greenhouse, nursery and floriculture production) [111A] | v1806917196 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Greenhouse, nursery and floriculture production (except cannabis) [1114A] | v1806917197 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Animal production (except aquaculture) [112A] | v1806917198 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Aquaculture [1125] | v1806917199 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Support activities for crop and animal production [115A] | v1806917200 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Support activities for forestry [1153] | v1806917201 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Support activities for oil and gas extraction [21311A] | v1806917202 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Support activities for mining [21311B] | v1806917203 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Miscellaneous chemical product manufacturing [325C] | v1806917204 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Other miscellaneous chemical product manufacturing [325A] | v1806917205 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Furniture, home furnishings, electronics and appliances retailers [449] | v1806917206 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · General merchandise retailers [455] | v1806917207 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Health and personal care retailers [456] | v1806917208 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Gasoline stations and fuel vendors [457] | v1806917209 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Clothing, clothing accessories, shoes, jewelry, luggage and leather goods retailers [458] | v1806917210 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Sporting goods, hobby, musical instrument, book, and miscellaneous retailers [459] | v1806917211 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Sporting goods, hobby, musical instrument, book, and miscellaneous retailers (except cannabis) [459A] | v1806917212 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Retail trade (except cannabis) [4AA] | v1806917213 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Motion picture and video industries [5121] | v1806917214 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Sound recording industries [5122] | v1806917215 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Newspaper, periodical, book and directory publishers [5131] | v1806917216 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Software publishers [5132] | v1806917217 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Broadcasting and content providers [516] | v1806917218 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Radio and television broadcasting stations [5161] | v1806917219 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Media streaming distribution services and other media networks and content providers [5162] | v1806917220 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Other administrative and support services [561B] | v1806917261 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Pay and specialty television, telecommunications and other information services [51A] | v1806917221 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Other finance and insurance [52E] | v1806917222 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Financial auxiliaries [52C] | v1806917223 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Other financial intermediaries [52D] | v1806917224 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Funds and other financial vehicles (except securitization vehicles) [526A] | v1806917225 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Rental and leasing services (except automotive equipment) and lessors of non-financial intangible assets (except copyrighted works) [53A] | v1806917226 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Other administrative and support services [561B] | v1806917227 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Automotive repair and maintenance [8111] | v1806917228 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Repair and maintenance (except automotive) [811A] | v1806917229 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Crop production (except cannabis, greenhouse, nursery and floriculture production) [111A] | v1806917230 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Greenhouse, nursery and floriculture production (except cannabis) [1114A] | v1806917231 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Animal production (except aquaculture) [112A] | v1806917232 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Aquaculture [1125] | v1806917233 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Support activities for crop and animal production [115A] | v1806917234 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Support activities for forestry [1153] | v1806917235 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Support activities for oil and gas extraction [21311A] | v1806917236 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Support activities for mining [21311B] | v1806917237 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Miscellaneous chemical product manufacturing [325C] | v1806917238 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Other miscellaneous chemical product manufacturing [325A] | v1806917239 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Furniture, home furnishings, electronics and appliances retailers [449] | v1806917240 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · General merchandise retailers [455] | v1806917241 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Health and personal care retailers [456] | v1806917242 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Gasoline stations and fuel vendors [457] | v1806917243 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Clothing, clothing accessories, shoes, jewelry, luggage and leather goods retailers [458] | v1806917244 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Sporting goods, hobby, musical instrument, book, and miscellaneous retailers [459] | v1806917245 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Sporting goods, hobby, musical instrument, book, and miscellaneous retailers (except cannabis) [459A] | v1806917246 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Retail trade (except cannabis) [4AA] | v1806917247 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Motion picture and video industries [5121] | v1806917248 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Sound recording industries [5122] | v1806917249 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Newspaper, periodical, book and directory publishers [5131] | v1806917250 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Software publishers [5132] | v1806917251 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Broadcasting and content providers [516] | v1806917252 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Radio and television broadcasting stations [5161] | v1806917253 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Media streaming distribution services and other media networks and content providers [5162] | v1806917254 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Pay and specialty television, telecommunications and other information services [51A] | v1806917255 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Other finance and insurance [52E] | v1806917256 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Financial auxiliaries [52C] | v1806917257 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Other financial intermediaries [52D] | v1806917258 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Funds and other financial vehicles (except securitization vehicles) [526A] | v1806917259 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Rental and leasing services (except automotive equipment) and lessors of non-financial intangible assets (except copyrighted works) [53A] | v1806917260 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Automotive repair and maintenance [8111] | v1806917262 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Repair and maintenance (except automotive) [811A] | v1806917263 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · All industries [T001] | v65201210 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Goods-producing industries [T002] | v65201211 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Services-producing industries [T003] | v65201212 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Business sector industries [T004] | v65201213 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Non-business sector industries [T007] | v65201216 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Industrial production [T010] | v65201219 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Non-durable manufacturing industries [T011] | v65201220 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Durable manufacturing industries [T012] | v65201221 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Information and communication technology sector [T013] | v65201222 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Information and communication technology, manufacturing [T014] | v65201223 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Information and communication technology, services [T015] | v65201224 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Energy sector [T016] | v65201225 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Public sector [T018] | v65201227 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Agriculture, forestry, fishing and hunting [11] | v65201229 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Crop and animal production [11A] | v65201230 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Crop production [111] | v65201231 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Animal production and aquaculture [112] | v65201232 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Forestry and logging [113] | v65201233 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Fishing, hunting and trapping [114] | v65201234 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Support activities for agriculture and forestry [115] | v65201235 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Mining, quarrying, and oil and gas extraction [21] | v65201236 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Oil and gas extraction [211] | v65201237 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Oil and gas extraction (except oil sands) [21111] | v65201238 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Oil sands extraction [21114] | v65201239 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Mining and quarrying (except oil and gas) [212] | v65201240 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Coal mining [2121] | v65201241 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Metal ore mining [2122] | v65201242 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Iron ore mining [21221] | v65201243 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Gold and silver ore mining [21222] | v65201244 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Copper, nickel, lead and zinc ore mining [21223] | v65201245 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Other metal ore mining [21229] | v65201246 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Non-metallic mineral mining and quarrying [2123] | v65201247 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Stone mining and quarrying [21231] | v65201248 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Sand, gravel, clay, and ceramic and refractory minerals mining and quarrying [21232] | v65201249 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Other non-metallic mineral mining and quarrying [21239] | v65201250 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Potash mining [212396] | v65201251 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Other non-metallic mineral mining and quarrying (except potash) [21239X] | v65201252 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Support activities for mining, and oil and gas extraction [213] | v65201253 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Utilities [22] | v65201254 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Electric power generation, transmission and distribution [2211] | v65201255 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Natural gas distribution [2212] | v65201256 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Water, sewage and other systems [2213] | v65201257 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Construction [23] | v65201258 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Residential building construction [23A] | v65201259 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Non-residential building construction [23B] | v65201260 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Repair construction [23D] | v65201261 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Engineering and other construction activities [23X] | v65201262 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Manufacturing [31-33] | v65201263 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Food manufacturing [311] | v65201264 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Animal food manufacturing [3111] | v65201265 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Grain and oilseed milling [3112] | v65201266 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Sugar and confectionery product manufacturing [3113] | v65201267 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Fruit and vegetable preserving and specialty food manufacturing [3114] | v65201268 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Dairy product manufacturing [3115] | v65201269 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Meat product manufacturing [3116] | v65201270 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Seafood product preparation and packaging [3117] | v65201271 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Bakeries and tortilla manufacturing [3118] | v65201272 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Other food manufacturing [3119] | v65201273 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Beverage and tobacco product manufacturing [312] | v65201274 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Soft drink and ice manufacturing [31211] | v65201275 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Breweries [31212] | v65201276 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Wineries and distilleries [3121A] | v65201277 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Tobacco and cannabis product manufacturing [312A] | v65201278 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Textile, clothing and leather product manufacturing [31X] | v65201279 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Wood product manufacturing [321] | v65201282 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Sawmills and wood preservation [3211] | v65201283 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Veneer, plywood and engineered wood product manufacturing [3212] | v65201284 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Other wood product manufacturing [3219] | v65201285 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Paper manufacturing [322] | v65201286 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Pulp, paper and paperboard mills [3221] | v65201287 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Converted paper product manufacturing [3222] | v65201288 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Printing and related support activities [323] | v65201289 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Petroleum and coal product manufacturing [324] | v65201290 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Petroleum refineries [32411] | v65201291 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Petroleum and coal product manufacturing (except petroleum refineries) [3241A] | v65201292 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Chemical manufacturing [325] | v65201293 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Basic chemical manufacturing [3251] | v65201294 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Resin, synthetic rubber, and artificial and synthetic fibres and filaments manufacturing [3252] | v65201295 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Pesticide, fertilizer and other agricultural chemical manufacturing [3253] | v65201296 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Pharmaceutical and medicine manufacturing [3254] | v65201297 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Plastics and rubber products manufacturing [326] | v65201301 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Non-metallic mineral product manufacturing [327] | v65201304 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Primary metal manufacturing [331] | v65201307 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Iron and steel mills and ferro-alloy manufacturing [3311] | v65201308 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Steel product manufacturing from purchased steel [3312] | v65201309 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Alumina and aluminum production and processing [3313] | v65201310 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Non-ferrous metal (except aluminum) production and processing [3314] | v65201311 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Foundries [3315] | v65201312 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Fabricated metal product manufacturing [332] | v65201313 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Machinery manufacturing [333] | v65201322 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Computer and electronic product manufacturing [334] | v65201330 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Electrical equipment, appliance and component manufacturing [335] | v65201336 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Transportation equipment manufacturing [336] | v65201341 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Motor vehicles and parts manufacturing [336Y] | v65201342 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Motor vehicle manufacturing [3361] | v65201343 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Motor vehicle body and trailer manufacturing [3362] | v65201344 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Motor vehicle parts manufacturing [3363] | v65201345 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Aerospace product and parts manufacturing [3364] | v65201346 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Railroad rolling stock manufacturing [3365] | v65201348 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Ship and boat building [3366] | v65201349 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Other transportation equipment manufacturing [3369] | v65201350 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Furniture and related product manufacturing [337] | v65201351 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Miscellaneous manufacturing [339] | v65201355 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Medical equipment and supplies manufacturing [3391] | v65201356 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Other miscellaneous manufacturing [3399] | v65201357 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Wholesale trade [41] | v65201358 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Farm product merchant wholesalers [411] | v65201359 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Petroleum, petroleum products, and other hydrocarbons merchant wholesalers [412] | v65201360 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Food, beverage and tobacco merchant wholesalers [413] | v65201361 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Personal and household goods merchant wholesalers [414] | v65201362 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Motor vehicle and motor vehicle parts and accessories merchant wholesalers [415] | v65201363 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Building material and supplies merchant wholesalers [416] | v65201364 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Machinery, equipment and supplies merchant wholesalers [417] | v65201365 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Miscellaneous merchant wholesalers [418] | v65201366 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Business-to-business electronic markets, and agents and brokers [419] | v65201367 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Retail trade [44-45] | v65201368 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Motor vehicle and parts dealers [441] | v65201369 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Building material and garden equipment and supplies dealers [444] | v65201372 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Food and beverage retailers [445] | v65201373 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Transportation and warehousing [48-49] | v65201381 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Air transportation [481] | v65201382 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Rail transportation [482] | v65201383 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Water transportation [483] | v65201384 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Truck transportation [484] | v65201385 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Transit, ground passenger and scenic and sightseeing transportation [48Z] | v65201386 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Urban transit systems [4851] | v65201387 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Taxi and limousine service [4853] | v65201388 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Other transit and ground passenger transportation and scenic and sightseeing transportation [48A] | v65201389 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Pipeline transportation [486] | v65201390 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Pipeline transportation of natural gas [4862] | v65201391 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Crude oil and other pipeline transportation [486A] | v65201392 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Support activities for transportation [488] | v65201393 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Postal service, couriers and messengers [49A] | v65201394 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Postal service [491] | v65201395 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Couriers and messengers [492] | v65201396 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Warehousing and storage [493] | v65201397 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Information and cultural industries [51] | v65201398 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Publishing industries [513] | v65201399 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Motion picture and sound recording industries [512] | v65201400 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Telecommunications [517] | v65201404 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Computing infrastructure providers, data processing, web hosting, and related services [518] | v65201405 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Web search portals, libraries, archives, and all other information services [519] | v65201406 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Finance and insurance [52] | v65201407 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Credit unions [522B] | v65201410 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Banking, monetary authorities and other depository credit intermediation [52BX] | v65201411 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Non-depository credit intermediation [5222] | v65201413 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Insurance carriers [5241] | v65201416 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Real estate and rental and leasing [53] | v65201419 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Real estate [531] | v65201420 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Lessors of real estate [5311] | v65201421 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Owner-occupied dwellings [5311A] | v65201422 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Offices of real estate agents and brokers and activities related to real estate [531A] | v65201423 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Rental and leasing services [532] | v65201425 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Automotive equipment rental and leasing [5321] | v65201426 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Rental and leasing services (except automotive equipment) [532A] | v65201427 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Lessors of non-financial intangible assets (except copyrighted works) [533] | v65201428 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Professional, scientific and technical services [54] | v65201429 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Legal, accounting and related services [541A] | v65201430 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Legal services [5411] | v65201431 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Accounting, tax preparation, bookkeeping and payroll services [5412] | v65201432 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Architectural, engineering and related services [5413] | v65201433 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Computer systems design and related services [5415] | v65201434 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Advertising, public relations, and related services [5418] | v65201435 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Other professional, scientific and technical services including scientific research and development [541B] | v65201436 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Specialized design services [5414] | v65201437 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Management, scientific and technical consulting services [5416] | v65201438 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Scientific research and development services [5417] | v65201439 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Other professional, scientific and technical services [5419] | v65201440 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Management of companies and enterprises [55] | v65201441 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Administrative and support, waste management and remediation services [56] | v65201442 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Administrative and support services [561] | v65201443 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Office administrative services [5611] | v65201444 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Employment services [5613] | v65201445 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Business support services [5614] | v65201446 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Travel arrangement and reservation services [5615] | v65201447 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Investigation and security services [5616] | v65201448 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Services to buildings and dwellings [5617] | v65201449 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Facilities and other support services [561A] | v65201450 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Waste management and remediation services [562] | v65201451 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Educational services [61] | v65201452 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Elementary and secondary schools [6111] | v65201453 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Community colleges and C.E.G.E.P.s [6112] | v65201454 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Universities [6113] | v65201455 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Other educational services [611A] | v65201456 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Health care and social assistance [62] | v65201457 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Ambulatory health care services [621] | v65201458 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Hospitals [622] | v65201459 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Nursing and residential care facilities [623] | v65201460 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Social assistance [624] | v65201461 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Health care [62X] | v65201462 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Arts, entertainment and recreation [71] | v65201463 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Performing arts, spectator sports and related industries, and heritage institutions [71A] | v65201464 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Amusement, gambling and recreation industries [713] | v65201465 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Gambling industries [7132] | v65201466 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Amusement and recreation industries [713A] | v65201467 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Accommodation and food services [72] | v65201468 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Accommodation services [721] | v65201469 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Food services and drinking places [722] | v65201470 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Other services (except public administration) [81] | v65201471 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Repair and maintenance [811] | v65201472 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Personal and laundry services [812] | v65201473 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Religious, grant-making, civic, and professional and similar organizations [813] | v65201474 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Private households [814] | v65201475 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Public administration [91] | v65201476 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Federal government public administration [911] | v65201477 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Defence services [9111] | v65201478 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Federal government public administration (except defence) [911A] | v65201479 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Provincial and territorial public administration [912] | v65201480 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Local, municipal and regional public administration [913] | v65201481 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · Chained (2017) dollars · Indigenous public administration [914] | v65201482 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · All industries [T001] | v65201483 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Goods-producing industries [T002] | v65201484 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Services-producing industries [T003] | v65201485 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Business sector industries [T004] | v65201486 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Non-business sector industries [T007] | v65201489 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Industrial production [T010] | v65201492 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Non-durable manufacturing industries [T011] | v65201493 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Durable manufacturing industries [T012] | v65201494 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Information and communication technology sector [T013] | v65201495 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Information and communication technology, manufacturing [T014] | v65201496 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Information and communication technology, services [T015] | v65201497 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Energy sector [T016] | v65201498 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Public sector [T018] | v65201500 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Agriculture, forestry, fishing and hunting [11] | v65201502 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Crop and animal production [11A] | v65201503 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Crop production [111] | v65201504 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Animal production and aquaculture [112] | v65201505 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Forestry and logging [113] | v65201506 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Fishing, hunting and trapping [114] | v65201507 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Support activities for agriculture and forestry [115] | v65201508 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Mining, quarrying, and oil and gas extraction [21] | v65201509 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Oil and gas extraction [211] | v65201510 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Oil and gas extraction (except oil sands) [21111] | v65201511 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Oil sands extraction [21114] | v65201512 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Mining and quarrying (except oil and gas) [212] | v65201513 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Coal mining [2121] | v65201514 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Metal ore mining [2122] | v65201515 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Iron ore mining [21221] | v65201516 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Gold and silver ore mining [21222] | v65201517 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Copper, nickel, lead and zinc ore mining [21223] | v65201518 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Other metal ore mining [21229] | v65201519 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Non-metallic mineral mining and quarrying [2123] | v65201520 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Stone mining and quarrying [21231] | v65201521 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Sand, gravel, clay, and ceramic and refractory minerals mining and quarrying [21232] | v65201522 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Other non-metallic mineral mining and quarrying [21239] | v65201523 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Potash mining [212396] | v65201524 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Other non-metallic mineral mining and quarrying (except potash) [21239X] | v65201525 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Support activities for mining, and oil and gas extraction [213] | v65201526 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Utilities [22] | v65201527 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Electric power generation, transmission and distribution [2211] | v65201528 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Natural gas distribution [2212] | v65201529 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Water, sewage and other systems [2213] | v65201530 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Construction [23] | v65201531 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Residential building construction [23A] | v65201532 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Non-residential building construction [23B] | v65201533 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Repair construction [23D] | v65201534 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Engineering and other construction activities [23X] | v65201535 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Manufacturing [31-33] | v65201536 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Food manufacturing [311] | v65201537 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Animal food manufacturing [3111] | v65201538 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Grain and oilseed milling [3112] | v65201539 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Sugar and confectionery product manufacturing [3113] | v65201540 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Fruit and vegetable preserving and specialty food manufacturing [3114] | v65201541 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Dairy product manufacturing [3115] | v65201542 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Meat product manufacturing [3116] | v65201543 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Seafood product preparation and packaging [3117] | v65201544 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Bakeries and tortilla manufacturing [3118] | v65201545 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Other food manufacturing [3119] | v65201546 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Beverage and tobacco product manufacturing [312] | v65201547 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Soft drink and ice manufacturing [31211] | v65201548 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Breweries [31212] | v65201549 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Wineries and distilleries [3121A] | v65201550 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Tobacco and cannabis product manufacturing [312A] | v65201551 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Textile, clothing and leather product manufacturing [31X] | v65201552 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Wood product manufacturing [321] | v65201555 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Sawmills and wood preservation [3211] | v65201556 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Veneer, plywood and engineered wood product manufacturing [3212] | v65201557 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Other wood product manufacturing [3219] | v65201558 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Paper manufacturing [322] | v65201559 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Pulp, paper and paperboard mills [3221] | v65201560 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Converted paper product manufacturing [3222] | v65201561 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Printing and related support activities [323] | v65201562 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Petroleum and coal product manufacturing [324] | v65201563 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Petroleum refineries [32411] | v65201564 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Petroleum and coal product manufacturing (except petroleum refineries) [3241A] | v65201565 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Chemical manufacturing [325] | v65201566 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Basic chemical manufacturing [3251] | v65201567 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Resin, synthetic rubber, and artificial and synthetic fibres and filaments manufacturing [3252] | v65201568 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Pesticide, fertilizer and other agricultural chemical manufacturing [3253] | v65201569 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Pharmaceutical and medicine manufacturing [3254] | v65201570 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Plastics and rubber products manufacturing [326] | v65201574 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Non-metallic mineral product manufacturing [327] | v65201577 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Primary metal manufacturing [331] | v65201580 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Iron and steel mills and ferro-alloy manufacturing [3311] | v65201581 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Steel product manufacturing from purchased steel [3312] | v65201582 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Alumina and aluminum production and processing [3313] | v65201583 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Non-ferrous metal (except aluminum) production and processing [3314] | v65201584 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Foundries [3315] | v65201585 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Fabricated metal product manufacturing [332] | v65201586 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Machinery manufacturing [333] | v65201595 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Computer and electronic product manufacturing [334] | v65201603 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Electrical equipment, appliance and component manufacturing [335] | v65201609 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Transportation equipment manufacturing [336] | v65201614 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Motor vehicles and parts manufacturing [336Y] | v65201615 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Motor vehicle manufacturing [3361] | v65201616 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Motor vehicle body and trailer manufacturing [3362] | v65201617 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Motor vehicle parts manufacturing [3363] | v65201618 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Aerospace product and parts manufacturing [3364] | v65201619 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Railroad rolling stock manufacturing [3365] | v65201621 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Ship and boat building [3366] | v65201622 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Other transportation equipment manufacturing [3369] | v65201623 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Furniture and related product manufacturing [337] | v65201624 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Miscellaneous manufacturing [339] | v65201628 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Medical equipment and supplies manufacturing [3391] | v65201629 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Other miscellaneous manufacturing [3399] | v65201630 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Wholesale trade [41] | v65201631 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Farm product merchant wholesalers [411] | v65201632 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Petroleum, petroleum products, and other hydrocarbons merchant wholesalers [412] | v65201633 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Food, beverage and tobacco merchant wholesalers [413] | v65201634 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Personal and household goods merchant wholesalers [414] | v65201635 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Mining and quarrying (except oil and gas) [212] | v65201786 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Motor vehicle and motor vehicle parts and accessories merchant wholesalers [415] | v65201636 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Building material and supplies merchant wholesalers [416] | v65201637 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Machinery, equipment and supplies merchant wholesalers [417] | v65201638 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Miscellaneous merchant wholesalers [418] | v65201639 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Business-to-business electronic markets, and agents and brokers [419] | v65201640 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Retail trade [44-45] | v65201641 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Motor vehicle and parts dealers [441] | v65201642 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Building material and garden equipment and supplies dealers [444] | v65201645 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Food and beverage retailers [445] | v65201646 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Transportation and warehousing [48-49] | v65201654 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Air transportation [481] | v65201655 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Rail transportation [482] | v65201656 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Water transportation [483] | v65201657 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Truck transportation [484] | v65201658 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Transit, ground passenger and scenic and sightseeing transportation [48Z] | v65201659 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Urban transit systems [4851] | v65201660 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Taxi and limousine service [4853] | v65201661 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Other transit and ground passenger transportation and scenic and sightseeing transportation [48A] | v65201662 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Pipeline transportation [486] | v65201663 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Pipeline transportation of natural gas [4862] | v65201664 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Crude oil and other pipeline transportation [486A] | v65201665 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Support activities for transportation [488] | v65201666 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Postal service, couriers and messengers [49A] | v65201667 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Postal service [491] | v65201668 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Couriers and messengers [492] | v65201669 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Warehousing and storage [493] | v65201670 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Information and cultural industries [51] | v65201671 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Publishing industries [513] | v65201672 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Motion picture and sound recording industries [512] | v65201673 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Telecommunications [517] | v65201677 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Computing infrastructure providers, data processing, web hosting, and related services [518] | v65201678 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Web search portals, libraries, archives, and all other information services [519] | v65201679 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Finance and insurance [52] | v65201680 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Credit unions [522B] | v65201683 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Banking, monetary authorities and other depository credit intermediation [52BX] | v65201684 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Non-depository credit intermediation [5222] | v65201686 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Insurance carriers [5241] | v65201689 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Real estate and rental and leasing [53] | v65201692 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Real estate [531] | v65201693 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Lessors of real estate [5311] | v65201694 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Owner-occupied dwellings [5311A] | v65201695 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Offices of real estate agents and brokers and activities related to real estate [531A] | v65201696 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Rental and leasing services [532] | v65201698 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Automotive equipment rental and leasing [5321] | v65201699 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Rental and leasing services (except automotive equipment) [532A] | v65201700 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Lessors of non-financial intangible assets (except copyrighted works) [533] | v65201701 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Professional, scientific and technical services [54] | v65201702 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Legal, accounting and related services [541A] | v65201703 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Legal services [5411] | v65201704 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Accounting, tax preparation, bookkeeping and payroll services [5412] | v65201705 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Architectural, engineering and related services [5413] | v65201706 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Computer systems design and related services [5415] | v65201707 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Advertising, public relations, and related services [5418] | v65201708 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Other professional, scientific and technical services including scientific research and development [541B] | v65201709 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Specialized design services [5414] | v65201710 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Management, scientific and technical consulting services [5416] | v65201711 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Scientific research and development services [5417] | v65201712 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Other professional, scientific and technical services [5419] | v65201713 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Management of companies and enterprises [55] | v65201714 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Administrative and support, waste management and remediation services [56] | v65201715 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Administrative and support services [561] | v65201716 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Office administrative services [5611] | v65201717 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Employment services [5613] | v65201718 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Business support services [5614] | v65201719 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Travel arrangement and reservation services [5615] | v65201720 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Investigation and security services [5616] | v65201721 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Services to buildings and dwellings [5617] | v65201722 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Facilities and other support services [561A] | v65201723 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Waste management and remediation services [562] | v65201724 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Educational services [61] | v65201725 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Elementary and secondary schools [6111] | v65201726 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Community colleges and C.E.G.E.P.s [6112] | v65201727 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Universities [6113] | v65201728 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Other educational services [611A] | v65201729 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Health care and social assistance [62] | v65201730 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Ambulatory health care services [621] | v65201731 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Hospitals [622] | v65201732 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Nursing and residential care facilities [623] | v65201733 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Social assistance [624] | v65201734 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Health care [62X] | v65201735 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Arts, entertainment and recreation [71] | v65201736 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Performing arts, spectator sports and related industries, and heritage institutions [71A] | v65201737 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Amusement, gambling and recreation industries [713] | v65201738 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Gambling industries [7132] | v65201739 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Amusement and recreation industries [713A] | v65201740 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Accommodation and food services [72] | v65201741 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Accommodation services [721] | v65201742 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Food services and drinking places [722] | v65201743 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Other services (except public administration) [81] | v65201744 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Repair and maintenance [811] | v65201745 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Personal and laundry services [812] | v65201746 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Religious, grant-making, civic, and professional and similar organizations [813] | v65201747 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Private households [814] | v65201748 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Public administration [91] | v65201749 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Federal government public administration [911] | v65201750 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Defence services [9111] | v65201751 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Federal government public administration (except defence) [911A] | v65201752 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Provincial and territorial public administration [912] | v65201753 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Local, municipal and regional public administration [913] | v65201754 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Seasonally adjusted at annual rates · 2017 constant prices · Indigenous public administration [914] | v65201755 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · All industries [T001] | v65201756 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Goods-producing industries [T002] | v65201757 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Services-producing industries [T003] | v65201758 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Business sector industries [T004] | v65201759 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Non-business sector industries [T007] | v65201762 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Industrial production [T010] | v65201765 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Non-durable manufacturing industries [T011] | v65201766 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Durable manufacturing industries [T012] | v65201767 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Information and communication technology sector [T013] | v65201768 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Information and communication technology, manufacturing [T014] | v65201769 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Information and communication technology, services [T015] | v65201770 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Energy sector [T016] | v65201771 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Public sector [T018] | v65201773 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Agriculture, forestry, fishing and hunting [11] | v65201775 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Crop and animal production [11A] | v65201776 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Crop production [111] | v65201777 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Animal production and aquaculture [112] | v65201778 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Forestry and logging [113] | v65201779 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Fishing, hunting and trapping [114] | v65201780 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Support activities for agriculture and forestry [115] | v65201781 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Mining, quarrying, and oil and gas extraction [21] | v65201782 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Oil and gas extraction [211] | v65201783 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Oil and gas extraction (except oil sands) [21111] | v65201784 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Oil sands extraction [21114] | v65201785 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Coal mining [2121] | v65201787 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Metal ore mining [2122] | v65201788 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Iron ore mining [21221] | v65201789 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Gold and silver ore mining [21222] | v65201790 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Copper, nickel, lead and zinc ore mining [21223] | v65201791 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Other metal ore mining [21229] | v65201792 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Non-metallic mineral mining and quarrying [2123] | v65201793 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Stone mining and quarrying [21231] | v65201794 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Sand, gravel, clay, and ceramic and refractory minerals mining and quarrying [21232] | v65201795 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Other non-metallic mineral mining and quarrying [21239] | v65201796 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Potash mining [212396] | v65201797 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Other non-metallic mineral mining and quarrying (except potash) [21239X] | v65201798 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Support activities for mining, and oil and gas extraction [213] | v65201799 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Utilities [22] | v65201800 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Electric power generation, transmission and distribution [2211] | v65201801 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Natural gas distribution [2212] | v65201802 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Water, sewage and other systems [2213] | v65201803 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Construction [23] | v65201804 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Residential building construction [23A] | v65201805 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Non-residential building construction [23B] | v65201806 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Repair construction [23D] | v65201807 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Engineering and other construction activities [23X] | v65201808 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Manufacturing [31-33] | v65201809 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Food manufacturing [311] | v65201810 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Animal food manufacturing [3111] | v65201811 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Grain and oilseed milling [3112] | v65201812 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Sugar and confectionery product manufacturing [3113] | v65201813 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Fruit and vegetable preserving and specialty food manufacturing [3114] | v65201814 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Dairy product manufacturing [3115] | v65201815 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Meat product manufacturing [3116] | v65201816 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Seafood product preparation and packaging [3117] | v65201817 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Bakeries and tortilla manufacturing [3118] | v65201818 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Other food manufacturing [3119] | v65201819 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Beverage and tobacco product manufacturing [312] | v65201820 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Soft drink and ice manufacturing [31211] | v65201821 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Breweries [31212] | v65201822 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Wineries and distilleries [3121A] | v65201823 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Tobacco and cannabis product manufacturing [312A] | v65201824 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Textile, clothing and leather product manufacturing [31X] | v65201825 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Wood product manufacturing [321] | v65201828 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Sawmills and wood preservation [3211] | v65201829 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Veneer, plywood and engineered wood product manufacturing [3212] | v65201830 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Other wood product manufacturing [3219] | v65201831 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Paper manufacturing [322] | v65201832 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Pulp, paper and paperboard mills [3221] | v65201833 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Converted paper product manufacturing [3222] | v65201834 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Printing and related support activities [323] | v65201835 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Petroleum and coal product manufacturing [324] | v65201836 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Petroleum refineries [32411] | v65201837 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Petroleum and coal product manufacturing (except petroleum refineries) [3241A] | v65201838 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Chemical manufacturing [325] | v65201839 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Basic chemical manufacturing [3251] | v65201840 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Resin, synthetic rubber, and artificial and synthetic fibres and filaments manufacturing [3252] | v65201841 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Pesticide, fertilizer and other agricultural chemical manufacturing [3253] | v65201842 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Pharmaceutical and medicine manufacturing [3254] | v65201843 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Plastics and rubber products manufacturing [326] | v65201847 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Non-metallic mineral product manufacturing [327] | v65201850 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Primary metal manufacturing [331] | v65201853 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Iron and steel mills and ferro-alloy manufacturing [3311] | v65201854 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Steel product manufacturing from purchased steel [3312] | v65201855 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Alumina and aluminum production and processing [3313] | v65201856 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Non-ferrous metal (except aluminum) production and processing [3314] | v65201857 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Foundries [3315] | v65201858 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Fabricated metal product manufacturing [332] | v65201859 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Machinery manufacturing [333] | v65201868 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Computer and electronic product manufacturing [334] | v65201876 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Electrical equipment, appliance and component manufacturing [335] | v65201882 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Transportation equipment manufacturing [336] | v65201887 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Motor vehicles and parts manufacturing [336Y] | v65201888 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Motor vehicle manufacturing [3361] | v65201889 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Motor vehicle body and trailer manufacturing [3362] | v65201890 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Motor vehicle parts manufacturing [3363] | v65201891 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Aerospace product and parts manufacturing [3364] | v65201892 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Railroad rolling stock manufacturing [3365] | v65201894 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Ship and boat building [3366] | v65201895 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Other transportation equipment manufacturing [3369] | v65201896 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Furniture and related product manufacturing [337] | v65201897 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Miscellaneous manufacturing [339] | v65201901 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Medical equipment and supplies manufacturing [3391] | v65201902 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Other miscellaneous manufacturing [3399] | v65201903 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Wholesale trade [41] | v65201904 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Farm product merchant wholesalers [411] | v65201905 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Petroleum, petroleum products, and other hydrocarbons merchant wholesalers [412] | v65201906 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Food, beverage and tobacco merchant wholesalers [413] | v65201907 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Personal and household goods merchant wholesalers [414] | v65201908 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Motor vehicle and motor vehicle parts and accessories merchant wholesalers [415] | v65201909 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Building material and supplies merchant wholesalers [416] | v65201910 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Machinery, equipment and supplies merchant wholesalers [417] | v65201911 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Miscellaneous merchant wholesalers [418] | v65201912 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Business-to-business electronic markets, and agents and brokers [419] | v65201913 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Retail trade [44-45] | v65201914 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Motor vehicle and parts dealers [441] | v65201915 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Building material and garden equipment and supplies dealers [444] | v65201918 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Food and beverage retailers [445] | v65201919 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Transportation and warehousing [48-49] | v65201927 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Air transportation [481] | v65201928 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Rail transportation [482] | v65201929 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Water transportation [483] | v65201930 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Truck transportation [484] | v65201931 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Transit, ground passenger and scenic and sightseeing transportation [48Z] | v65201932 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Urban transit systems [4851] | v65201933 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Taxi and limousine service [4853] | v65201934 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Other transit and ground passenger transportation and scenic and sightseeing transportation [48A] | v65201935 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Pipeline transportation [486] | v65201936 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Pipeline transportation of natural gas [4862] | v65201937 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Crude oil and other pipeline transportation [486A] | v65201938 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Support activities for transportation [488] | v65201939 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Postal service, couriers and messengers [49A] | v65201940 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Postal service [491] | v65201941 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Couriers and messengers [492] | v65201942 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Warehousing and storage [493] | v65201943 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Information and cultural industries [51] | v65201944 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Publishing industries [513] | v65201945 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Motion picture and sound recording industries [512] | v65201946 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Telecommunications [517] | v65201950 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Computing infrastructure providers, data processing, web hosting, and related services [518] | v65201951 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Web search portals, libraries, archives, and all other information services [519] | v65201952 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Finance and insurance [52] | v65201953 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Credit unions [522B] | v65201956 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Banking, monetary authorities and other depository credit intermediation [52BX] | v65201957 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Non-depository credit intermediation [5222] | v65201959 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Insurance carriers [5241] | v65201962 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Real estate and rental and leasing [53] | v65201965 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Real estate [531] | v65201966 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Lessors of real estate [5311] | v65201967 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Owner-occupied dwellings [5311A] | v65201968 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Offices of real estate agents and brokers and activities related to real estate [531A] | v65201969 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Rental and leasing services [532] | v65201971 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Automotive equipment rental and leasing [5321] | v65201972 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Rental and leasing services (except automotive equipment) [532A] | v65201973 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Lessors of non-financial intangible assets (except copyrighted works) [533] | v65201974 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Professional, scientific and technical services [54] | v65201975 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Legal, accounting and related services [541A] | v65201976 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Legal services [5411] | v65201977 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Accounting, tax preparation, bookkeeping and payroll services [5412] | v65201978 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Architectural, engineering and related services [5413] | v65201979 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Computer systems design and related services [5415] | v65201980 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Advertising, public relations, and related services [5418] | v65201981 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Other professional, scientific and technical services including scientific research and development [541B] | v65201982 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Specialized design services [5414] | v65201983 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Management, scientific and technical consulting services [5416] | v65201984 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Scientific research and development services [5417] | v65201985 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Other professional, scientific and technical services [5419] | v65201986 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Management of companies and enterprises [55] | v65201987 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Administrative and support, waste management and remediation services [56] | v65201988 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Administrative and support services [561] | v65201989 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Office administrative services [5611] | v65201990 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Employment services [5613] | v65201991 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Business support services [5614] | v65201992 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Travel arrangement and reservation services [5615] | v65201993 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Investigation and security services [5616] | v65201994 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Services to buildings and dwellings [5617] | v65201995 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Facilities and other support services [561A] | v65201996 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Waste management and remediation services [562] | v65201997 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Educational services [61] | v65201998 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Elementary and secondary schools [6111] | v65201999 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Community colleges and C.E.G.E.P.s [6112] | v65202000 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Universities [6113] | v65202001 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Other educational services [611A] | v65202002 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Health care and social assistance [62] | v65202003 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Ambulatory health care services [621] | v65202004 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Hospitals [622] | v65202005 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Nursing and residential care facilities [623] | v65202006 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Social assistance [624] | v65202007 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Health care [62X] | v65202008 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Arts, entertainment and recreation [71] | v65202009 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Performing arts, spectator sports and related industries, and heritage institutions [71A] | v65202010 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Amusement, gambling and recreation industries [713] | v65202011 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Gambling industries [7132] | v65202012 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Amusement and recreation industries [713A] | v65202013 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Accommodation and food services [72] | v65202014 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Accommodation services [721] | v65202015 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Food services and drinking places [722] | v65202016 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Other services (except public administration) [81] | v65202017 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Repair and maintenance [811] | v65202018 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Personal and laundry services [812] | v65202019 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Religious, grant-making, civic, and professional and similar organizations [813] | v65202020 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Private households [814] | v65202021 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Public administration [91] | v65202022 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Federal government public administration [911] | v65202023 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Defence services [9111] | v65202024 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Federal government public administration (except defence) [911A] | v65202025 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Provincial and territorial public administration [912] | v65202026 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Local, municipal and regional public administration [913] | v65202027 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
| Trading-day adjusted · 2017 constant prices · Indigenous public administration [914] | v65202028 | Dollars | Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. Values are multiplied by the table's SCALAR_FACTOR, so a figure printed in millions is stored in dollars. |
Forced displacement: refugees and asylum-seekers by origin and destination
UNHCR Refugee Data Finder · UN-AGENCY-NC · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Asylum-seekers | UNHCR.ASYLUM_SEEKERS | persons | Zero values are not stored. In a matrix of roughly two hundred origins against two hundred asylum countries, almost every cell is zero in any given year, and storing them would add tens of millions of rows carrying no information. Rows where either end is recorded as unknown are dropped: UNHCR records them deliberately, since a person whose origin cannot be established is still displaced, but 'Unknown' is not a place and would appear in rankings as though it were. |
| Internally displaced persons | UNHCR.IDPS | persons | Zero values are not stored. In a matrix of roughly two hundred origins against two hundred asylum countries, almost every cell is zero in any given year, and storing them would add tens of millions of rows carrying no information. Rows where either end is recorded as unknown are dropped: UNHCR records them deliberately, since a person whose origin cannot be established is still displaced, but 'Unknown' is not a place and would appear in rankings as though it were. |
| Other people in need of international protection | UNHCR.OIP | persons | Zero values are not stored. In a matrix of roughly two hundred origins against two hundred asylum countries, almost every cell is zero in any given year, and storing them would add tens of millions of rows carrying no information. Rows where either end is recorded as unknown are dropped: UNHCR records them deliberately, since a person whose origin cannot be established is still displaced, but 'Unknown' is not a place and would appear in rankings as though it were. |
| Others of concern to UNHCR | UNHCR.OOC | persons | Zero values are not stored. In a matrix of roughly two hundred origins against two hundred asylum countries, almost every cell is zero in any given year, and storing them would add tens of millions of rows carrying no information. Rows where either end is recorded as unknown are dropped: UNHCR records them deliberately, since a person whose origin cannot be established is still displaced, but 'Unknown' is not a place and would appear in rankings as though it were. |
| Refugees under UNHCR's mandate | UNHCR.REFUGEES | persons | Zero values are not stored. In a matrix of roughly two hundred origins against two hundred asylum countries, almost every cell is zero in any given year, and storing them would add tens of millions of rows carrying no information. Rows where either end is recorded as unknown are dropped: UNHCR records them deliberately, since a person whose origin cannot be established is still displaced, but 'Unknown' is not a place and would appear in rankings as though it were. |
| Returned internally displaced persons | UNHCR.RETURNED_IDPS | persons | Zero values are not stored. In a matrix of roughly two hundred origins against two hundred asylum countries, almost every cell is zero in any given year, and storing them would add tens of millions of rows carrying no information. Rows where either end is recorded as unknown are dropped: UNHCR records them deliberately, since a person whose origin cannot be established is still displaced, but 'Unknown' is not a place and would appear in rankings as though it were. |
| Returned refugees | UNHCR.RETURNED_REFUGEES | persons | Zero values are not stored. In a matrix of roughly two hundred origins against two hundred asylum countries, almost every cell is zero in any given year, and storing them would add tens of millions of rows carrying no information. Rows where either end is recorded as unknown are dropped: UNHCR records them deliberately, since a person whose origin cannot be established is still displaced, but 'Unknown' is not a place and would appear in rankings as though it were. |
Critical mineral production: world mine and refinery output by country
U.S. Geological Survey - Mineral Commodity Summaries · USGS-PUBLIC-DOMAIN · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Aluminum — Smelter production, aluminum (production) | aluminum.smelter-production-aluminum.production | thousand metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Antimony — Mine production, antimony content (production) | antimony.mine-production-antimony-content.production | metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Arsenic — Plant production, arsenic trioxide or calculated equivalent. (production) | arsenic.plant-production-arsenic-trioxide-or-calculated-equivalent.production | metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Asbestos — Mine production, asbestos (production) | asbestos.mine-production-asbestos.production | metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Barite — Mine production, barite, estimated (production) | barite.mine-production-barite-estimated.production | thousand metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Bauxite — Mine production, bauxite, dry tons (production) | bauxite.mine-production-bauxite-dry-tons.production | thousand metric dry tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Bauxite — Refinery production, alumina - calcined equivalent weights (production) | bauxite.refinery-production-alumina-calcined-equivalent-weights.production | thousand metric dry tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Beryllium — Mine production, beryllium content (production) | beryllium.mine-production-beryllium-content.production | metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Bismuth — Refinery production (production) | bismuth.refinery-production.production | metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Boron — Boron all types (production) | boron.boron-all-types.production | thousand metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Bromine — Production, bromine content, estimated (production) | bromine.production-bromine-content-estimated.production | metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Cadmium — Refinery production, estimated (production) | cadmium.refinery-production-estimated.production | metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Cement — Cement production, estimated (production) | cement.cement-production-estimated.production | thousand metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Cement — Clinker capacity, estimated (production) | cement.clinker-capacity-estimated.production | thousand metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Chromium — Mine production, grosss weight, marketable chromite ore (production) | chromium.mine-production-grosss-weight-marketable-chromite-ore.production | thousand metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Clays — Mine poduction, Bentonite (production) | clays.mine-poduction-bentonite.production | thousand metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Clays — Mine poduction, Fuller's earth (production) | clays.mine-poduction-fuller-s-earth.production | thousand metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Clays — Mine poduction, Kaolin (production) | clays.mine-poduction-kaolin.production | thousand metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Cobalt — Mine production, cobalt content, estimated (production) | cobalt.mine-production-cobalt-content-estimated.production | metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Cobalt — Mine production, estimated (production) | cobalt.mine-production-estimated.production | metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Copper — Mine production, recoverable copper content (production) | copper.mine-production-recoverable-copper-content.production | thousand metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Copper — Refinery production, copper (production) | copper.refinery-production-copper.production | thousand metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Diamond (industrial) — Mine production, industrial diamond (production) | diamond-industrial.mine-production-industrial-diamond.production | million carats | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Diatomite — Mine production, estimated (production) | diatomite.mine-production-estimated.production | thousand metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Feldspar — Mine production, estimated (production) | feldspar.mine-production-estimated.production | thousand metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Fluorspar — Mine production, estimated (production) | fluorspar.mine-production-estimated.production | thousand metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Gallium — Primary production (production) | gallium.primary-production.production | kilograms | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Garnet (industrial) — Mine production, estimated (production) | garnet-industrial.mine-production-estimated.production | metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Gemstones — Mine production, thousand carats of gem-quality diamond (production) | gemstones.mine-production-thousand-carats-of-gem-quality-diamond.production | thousand carats | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Gold — mine production, gold content (production) | gold.mine-production-gold-content.production | metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Graphite — Mine production (production) | graphite.mine-production.production | metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Gypsum — Mine production, estimated (production) | gypsum.mine-production-estimated.production | thousand metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Helium — Production, helium gas content (production) | helium.production-helium-gas-content.production | million cubic meters | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Indium — Refinery production (production) | indium.refinery-production.production | metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Iodine — Mine production, elemental iodine (production) | iodine.mine-production-elemental-iodine.production | metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Iron and Steel — Pig iron (production) | iron-and-steel.pig-iron.production | million metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Iron and Steel — Raw steel (production) | iron-and-steel.raw-steel.production | million metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Iron Ore — Mine production, iron content (production) | iron-ore.mine-production-iron-content.production | thousand metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Iron Ore — Mine production, usable ore (production) | iron-ore.mine-production-usable-ore.production | thousand metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Iron oxide pigments — Mine production (production) | iron-oxide-pigments.mine-production.production | metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Kyanite and Related Minerals — Mine production (production) | kyanite-and-related-minerals.mine-production.production | metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Lead — Mine production, lead content (production) | lead.mine-production-lead-content.production | thousand metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Lime — Plant production, lime (production) | lime.plant-production-lime.production | thousand metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Lithium — Mine production, lithium content (production) | lithium.mine-production-lithium-content.production | metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Magnesium Compounds — Mine production, magnesite - gross weight (production) | magnesium-compounds.mine-production-magnesite-gross-weight.production | thousand metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Magnesium metal — Magnesium smelter production (production) | magnesium-metal.magnesium-smelter-production.production | thousand metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Manganese — Mine production, manganese content (production) | manganese.mine-production-manganese-content.production | thousand metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Mercury — Mine production, mercury content (production) | mercury.mine-production-mercury-content.production | metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Mica (Natural) — Mine production, mica scrap and flake (production) | mica-natural.mine-production-mica-scrap-and-flake.production | metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Mica (Natural) — Mine production, mica sheet (production) | mica-natural.mine-production-mica-sheet.production | metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Molybdenum — Mine production, molybdenum content (production) | molybdenum.mine-production-molybdenum-content.production | metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Nickel — Mine production, nickel content (production) | nickel.mine-production-nickel-content.production | metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Niobium — Mine production, niobium content (production) | niobium.mine-production-niobium-content.production | metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Nitrogen(fixed) - Ammonia — Plant production, nitrogen content (production) | nitrogen-fixed-ammonia.plant-production-nitrogen-content.production | thousand metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Peat — Mine production (production) | peat.mine-production.production | thousand metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Perlite — Mine production, estimated (production) | perlite.mine-production-estimated.production | thousand metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Phosphate rock — Mine production, marketable phosphate rock (production) | phosphate-rock.mine-production-marketable-phosphate-rock.production | thousand metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Platinum-Group metals — Mine production, Palladium content (production) | platinum-group-metals.mine-production-palladium-content.production | kilograms | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Platinum-Group metals — Mine production, Platinum content (production) | platinum-group-metals.mine-production-platinum-content.production | kilograms | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Potash — Mine production, potassium oxide (K2O) equivalent (production) | potash.mine-production-potassium-oxide-k2o-equivalent.production | thousand metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Pumice & Pumicite — Mine production, estimated (production) | pumice-pumicite.mine-production-estimated.production | thousand metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Rare earths — Mine production, rare-earth-oxide equivalent (production) | rare-earths.mine-production-rare-earth-oxide-equivalent.production | metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Rhenium — Mine production, rhenium content (production) | rhenium.mine-production-rhenium-content.production | kilograms | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Salt — Mine production, estimated (production) | salt.mine-production-estimated.production | thousand metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Sand and gravel (industrial) — Mine production, estimated (production) | sand-and-gravel-industrial.mine-production-estimated.production | metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Selenium — Refinery production, selenium content (production) | selenium.refinery-production-selenium-content.production | metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Silicon — Plant production, Ferosilicon, silicon content (production) | silicon.plant-production-ferosilicon-silicon-content.production | thousand metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Silicon — Plant production, silicon metal (production) | silicon.plant-production-silicon-metal.production | thousand metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Silver — Mine production, silver content (production) | silver.mine-production-silver-content.production | metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Soda ash — Mine production, natural (production) | soda-ash.mine-production-natural.production | thousand metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Soda ash — Production, Synthetic (production) | soda-ash.production-synthetic.production | thousand metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Soda ash — Soda ash, natural, mine production (production) | soda-ash.soda-ash-natural-mine-production.production | thousand metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Soda ash — Soda ash, total natural and synthetic (production) | soda-ash.soda-ash-total-natural-and-synthetic.production | thousand metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Strontium — Mine production, strontium content (production) | strontium.mine-production-strontium-content.production | metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Sulfur — Production, all forms, sulfur content (production) | sulfur.production-all-forms-sulfur-content.production | thousand metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Talc and Pyrophyllite — Mine production, estimated (production) | talc-and-pyrophyllite.mine-production-estimated.production | thousand metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Talc, crude — Mine production, estimated (production) | talc-crude.mine-production-estimated.production | thousand metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Tantalum — Mine production, tantalum content (production) | tantalum.mine-production-tantalum-content.production | metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Tellurium — Refinery production, tellurium content (production) | tellurium.refinery-production-tellurium-content.production | metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Tin — Mine production, tin content (production) | tin.mine-production-tin-content.production | metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Titanium Mineral Concentrates — Mine production, ilmentite, titanium dioxide (TiO2) content (production) | titanium-mineral-concentrates.mine-production-ilmentite-titanium-dioxide-tio2-content.production | metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Titanium Mineral Concentrates — Mine production, rutile, titanium dioxide (TiO2) content (production) | titanium-mineral-concentrates.mine-production-rutile-titanium-dioxide-tio2-content.production | metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Titanium & titanium dioxide — Sponge Metal Production (production) | titanium-titanium-dioxide.sponge-metal-production.production | metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Tungsten — Mine production, tungsten content (production) | tungsten.mine-production-tungsten-content.production | metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Vanadium — Mine production, vanadium content (production) | vanadium.mine-production-vanadium-content.production | metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Vermiculite — Mine production (production) | vermiculite.mine-production.production | thousand metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Wollastonite — Mine production (production) | wollastonite.mine-production.production | metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Zeolites (natural) — Mine production (production) | zeolites-natural.mine-production.production | metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Zinc — Mine production, zinc content (production) | zinc.mine-production-zinc-content.production | thousand metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
| Zirconium and Hafnium — Mine production, zirconium, gross weight (production) | zirconium-and-hafnium.mine-production-zirconium-gross-weight.production | thousand metric tons | Figures are as published by the USGS: mine production unless the series name says otherwise, with the most recent year estimated (flagged with status 'e'). An indicator is keyed on the commodity AND the measured product, because one commodity can report several - platinum-group metals are reported separately as platinum content and palladium content, and titanium concentrates as ilmenite and rutile. Country names are matched to platform area codes through a reviewed concordance. USGS residual buckets ('Other countries', 'United States and Canada') are not loaded, because they are not geographies; a world total is loaded only where the commodity reports exactly one, so summing countries will understate the world figure. |
Critical mineral reserves: where the remaining deposits are
U.S. Geological Survey - Mineral Commodity Summaries · USGS-PUBLIC-DOMAIN · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Antimony — Mine production, antimony content (reserves) | antimony.mine-production-antimony-content.reserves | metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Asbestos — Mine production, asbestos (reserves) | asbestos.mine-production-asbestos.reserves | metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Barite — Mine production, barite, estimated (reserves) | barite.mine-production-barite-estimated.reserves | thousand metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Bauxite — Mine production, bauxite, dry tons (reserves) | bauxite.mine-production-bauxite-dry-tons.reserves | thousand metric dry tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Boron — Boron all types (reserves) | boron.boron-all-types.reserves | thousand metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Bromine — Production, bromine content, estimated (reserves) | bromine.production-bromine-content-estimated.reserves | metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Chromium — Mine production, grosss weight, marketable chromite ore (reserves) | chromium.mine-production-grosss-weight-marketable-chromite-ore.reserves | thousand metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Cobalt — Mine production, cobalt content, estimated (reserves) | cobalt.mine-production-cobalt-content-estimated.reserves | metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Cobalt — Mine production, estimated (reserves) | cobalt.mine-production-estimated.reserves | metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Copper — Mine production, recoverable copper content (reserves) | copper.mine-production-recoverable-copper-content.reserves | thousand metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Diamond (industrial) — Mine production, industrial diamond (reserves) | diamond-industrial.mine-production-industrial-diamond.reserves | million carats | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Diatomite — Mine production, estimated (reserves) | diatomite.mine-production-estimated.reserves | thousand metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Feldspar — Mine production, estimated (reserves) | feldspar.mine-production-estimated.reserves | thousand metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Fluorspar — Mine production, estimated (reserves) | fluorspar.mine-production-estimated.reserves | thousand metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Garnet (industrial) — Mine production, estimated (reserves) | garnet-industrial.mine-production-estimated.reserves | metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Gemstones — Mine production, thousand carats of gem-quality diamond (reserves) | gemstones.mine-production-thousand-carats-of-gem-quality-diamond.reserves | thousand carats | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Gold — mine production, gold content (reserves) | gold.mine-production-gold-content.reserves | metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Graphite — Mine production (reserves) | graphite.mine-production.reserves | metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Gypsum — Mine production, estimated (reserves) | gypsum.mine-production-estimated.reserves | thousand metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Helium — Production, helium gas content (reserves) | helium.production-helium-gas-content.reserves | million cubic meters | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Indium — Refinery production (reserves) | indium.refinery-production.reserves | metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Iodine — Mine production, elemental iodine (reserves) | iodine.mine-production-elemental-iodine.reserves | metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Iron Ore — Mine production, iron content (reserves) | iron-ore.mine-production-iron-content.reserves | thousand metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Iron Ore — Mine production, usable ore (reserves) | iron-ore.mine-production-usable-ore.reserves | thousand metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Iron oxide pigments — Mine production (reserves) | iron-oxide-pigments.mine-production.reserves | metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Kyanite and Related Minerals — Mine production (reserves) | kyanite-and-related-minerals.mine-production.reserves | metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Lead — Mine production, lead content (reserves) | lead.mine-production-lead-content.reserves | thousand metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Lithium — Mine production, lithium content (reserves) | lithium.mine-production-lithium-content.reserves | metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Magnesium Compounds — Mine production, magnesite - gross weight (reserves) | magnesium-compounds.mine-production-magnesite-gross-weight.reserves | thousand metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Magnesium metal — Magnesium smelter production (reserves) | magnesium-metal.magnesium-smelter-production.reserves | thousand metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Manganese — Mine production, manganese content (reserves) | manganese.mine-production-manganese-content.reserves | thousand metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Mica (Natural) — Mine production, mica scrap and flake (reserves) | mica-natural.mine-production-mica-scrap-and-flake.reserves | metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Mica (Natural) — Mine production, mica sheet (reserves) | mica-natural.mine-production-mica-sheet.reserves | metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Molybdenum — Mine production, molybdenum content (reserves) | molybdenum.mine-production-molybdenum-content.reserves | metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Nickel — Mine production, nickel content (reserves) | nickel.mine-production-nickel-content.reserves | metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Niobium — Mine production, niobium content (reserves) | niobium.mine-production-niobium-content.reserves | metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Peat — Mine production (reserves) | peat.mine-production.reserves | thousand metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Perlite — Mine production, estimated (reserves) | perlite.mine-production-estimated.reserves | thousand metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Phosphate rock — Mine production, marketable phosphate rock (reserves) | phosphate-rock.mine-production-marketable-phosphate-rock.reserves | thousand metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Platinum-Group metals — Mine production, Palladium content (reserves) | platinum-group-metals.mine-production-palladium-content.reserves | kilograms | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Potash — Mine production, potassium oxide (K2O) equivalent (reserves) | potash.mine-production-potassium-oxide-k2o-equivalent.reserves | thousand metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Potash — Reserves, recoverable ore (reserves) | potash.reserves-recoverable-ore.reserves | thousand metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Rare earths — Mine production, rare-earth-oxide equivalent (reserves) | rare-earths.mine-production-rare-earth-oxide-equivalent.reserves | metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Rhenium — Mine production, rhenium content (reserves) | rhenium.mine-production-rhenium-content.reserves | kilograms | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Selenium — Refinery production, selenium content (reserves) | selenium.refinery-production-selenium-content.reserves | metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Silver — Mine production, silver content (reserves) | silver.mine-production-silver-content.reserves | metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Soda ash — Mine production, natural (reserves) | soda-ash.mine-production-natural.reserves | thousand metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Soda ash — Soda ash, natural, mine production (reserves) | soda-ash.soda-ash-natural-mine-production.reserves | thousand metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Strontium — Mine production, strontium content (reserves) | strontium.mine-production-strontium-content.reserves | metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Talc and Pyrophyllite — Mine production, estimated (reserves) | talc-and-pyrophyllite.mine-production-estimated.reserves | thousand metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Talc, crude — Mine production, estimated (reserves) | talc-crude.mine-production-estimated.reserves | thousand metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Tantalum — Mine production, tantalum content (reserves) | tantalum.mine-production-tantalum-content.reserves | metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Tellurium — Refinery production, tellurium content (reserves) | tellurium.refinery-production-tellurium-content.reserves | metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Tin — Mine production, tin content (reserves) | tin.mine-production-tin-content.reserves | metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Titanium Mineral Concentrates — Mine production, ilmentite, titanium dioxide (TiO2) content (reserves) | titanium-mineral-concentrates.mine-production-ilmentite-titanium-dioxide-tio2-content.reserves | metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Titanium Mineral Concentrates — Mine production, rutile, titanium dioxide (TiO2) content (reserves) | titanium-mineral-concentrates.mine-production-rutile-titanium-dioxide-tio2-content.reserves | metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Tungsten — Mine production, tungsten content (reserves) | tungsten.mine-production-tungsten-content.reserves | metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Vanadium — Mine production, vanadium content (reserves) | vanadium.mine-production-vanadium-content.reserves | metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Vermiculite — Mine production (reserves) | vermiculite.mine-production.reserves | thousand metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Zinc — Mine production, zinc content (reserves) | zinc.mine-production-zinc-content.reserves | thousand metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
| Zirconium and Hafnium — Mine production, zirconium, gross weight (reserves) | zirconium-and-hafnium.mine-production-zirconium-gross-weight.reserves | thousand metric tons | Reserves as defined by the USGS: the part of the reserve base that could be economically extracted at the time of determination. Reserve figures are revised heavily between releases and are not comparable to resource estimates from other bodies. |
External debt: what countries owe abroad, and what servicing it costs
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| External debt stocks, total (DOD, current US$) | DT.DOD.DECT.CD | — | From the World Bank's Debtor Reporting System, which covers low- and middle-income borrowers and rests on what those countries report. That is the limitation worth stating: debt arranged outside the traditional creditor system, notably some bilateral lending, is not necessarily captured, and the gap between what is reported and what is owed is exactly what the sovereign debt literature argues about. |
| External debt stocks (% of GNI) | DT.DOD.DECT.GN.ZS | — | From the World Bank's Debtor Reporting System, which covers low- and middle-income borrowers and rests on what those countries report. That is the limitation worth stating: debt arranged outside the traditional creditor system, notably some bilateral lending, is not necessarily captured, and the gap between what is reported and what is owed is exactly what the sovereign debt literature argues about. |
| External debt stocks, public and publicly guaranteed (PPG) (DOD, current US$) | DT.DOD.DPPG.CD | — | From the World Bank's Debtor Reporting System, which covers low- and middle-income borrowers and rests on what those countries report. That is the limitation worth stating: debt arranged outside the traditional creditor system, notably some bilateral lending, is not necessarily captured, and the gap between what is reported and what is owed is exactly what the sovereign debt literature argues about. |
| External debt stocks, short-term (DOD, current US$) | DT.DOD.DSTC.CD | — | From the World Bank's Debtor Reporting System, which covers low- and middle-income borrowers and rests on what those countries report. That is the limitation worth stating: debt arranged outside the traditional creditor system, notably some bilateral lending, is not necessarily captured, and the gap between what is reported and what is owed is exactly what the sovereign debt literature argues about. |
| Total debt service (% of exports of goods, services and primary income) | DT.TDS.DECT.EX.ZS | — | From the World Bank's Debtor Reporting System, which covers low- and middle-income borrowers and rests on what those countries report. That is the limitation worth stating: debt arranged outside the traditional creditor system, notably some bilateral lending, is not necessarily captured, and the gap between what is reported and what is owed is exactly what the sovereign debt literature argues about. |
External position: current account, FDI and GDP
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Current account balance (% of GDP) | BN.CAB.XOKA.GD.ZS | — | Balance of payments aggregates compiled by the World Bank from IMF BPM6 reporting. |
| Foreign direct investment, net inflows (% of GDP) | BX.KLT.DINV.WD.GD.ZS | — | Balance of payments aggregates compiled by the World Bank from IMF BPM6 reporting. |
| GDP (current US$) | NY.GDP.MKTP.CD | — | Balance of payments aggregates compiled by the World Bank from IMF BPM6 reporting. |
| GDP per capita, PPP (constant 2021 international $) | NY.GDP.PCAP.PP.KD | — | Balance of payments aggregates compiled by the World Bank from IMF BPM6 reporting. |
Knowledge across borders: patents, research effort and payments for intellectual property
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Charges for the use of intellectual property, payments (BoP, current US$) | BM.GSR.ROYL.CD | — | The intellectual property receipt and payment lines are the closest thing in open macro data to a measured knowledge flow: unlike patent counts, they are denominated in money and have a direction. They also capture intra-firm licensing, so a large receipt can reflect where a company books its intangibles rather than where the research happened. |
| Charges for the use of intellectual property, receipts (BoP, current US$) | BX.GSR.ROYL.CD | — | The intellectual property receipt and payment lines are the closest thing in open macro data to a measured knowledge flow: unlike patent counts, they are denominated in money and have a direction. They also capture intra-firm licensing, so a large receipt can reflect where a company books its intangibles rather than where the research happened. |
| Research and development expenditure (% of GDP) | GB.XPD.RSDV.GD.ZS | — | The intellectual property receipt and payment lines are the closest thing in open macro data to a measured knowledge flow: unlike patent counts, they are denominated in money and have a direction. They also capture intra-firm licensing, so a large receipt can reflect where a company books its intangibles rather than where the research happened. |
| Scientific and technical journal articles | IP.JRN.ARTC.SC | — | The intellectual property receipt and payment lines are the closest thing in open macro data to a measured knowledge flow: unlike patent counts, they are denominated in money and have a direction. They also capture intra-firm licensing, so a large receipt can reflect where a company books its intangibles rather than where the research happened. |
| Patent applications, nonresidents | IP.PAT.NRES | — | The intellectual property receipt and payment lines are the closest thing in open macro data to a measured knowledge flow: unlike patent counts, they are denominated in money and have a direction. They also capture intra-firm licensing, so a large receipt can reflect where a company books its intangibles rather than where the research happened. |
| Patent applications, residents | IP.PAT.RESD | — | The intellectual property receipt and payment lines are the closest thing in open macro data to a measured knowledge flow: unlike patent counts, they are denominated in money and have a direction. They also capture intra-firm licensing, so a large receipt can reflect where a company books its intangibles rather than where the research happened. |
| Researchers in R&D (per million people) | SP.POP.SCIE.RD.P6 | — | The intellectual property receipt and payment lines are the closest thing in open macro data to a measured knowledge flow: unlike patent counts, they are denominated in money and have a direction. They also capture intra-firm licensing, so a large receipt can reflect where a company books its intangibles rather than where the research happened. |
Resource dependence: natural resource rents and ores and metals trade
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Coal rents (% of GDP) | NY.GDP.COAL.RT.ZS | — | Rents are computed by the World Bank as the difference between the value of production at world prices and total costs of production, expressed as a share of GDP. Ores and metals trade shares follow the UNCTAD SITC definition (sections 27, 28 and 68 plus item 667). |
| Forest rents (% of GDP) | NY.GDP.FRST.RT.ZS | — | Rents are computed by the World Bank as the difference between the value of production at world prices and total costs of production, expressed as a share of GDP. Ores and metals trade shares follow the UNCTAD SITC definition (sections 27, 28 and 68 plus item 667). |
| Mineral rents (% of GDP) | NY.GDP.MINR.RT.ZS | — | Rents are computed by the World Bank as the difference between the value of production at world prices and total costs of production, expressed as a share of GDP. Ores and metals trade shares follow the UNCTAD SITC definition (sections 27, 28 and 68 plus item 667). |
| Natural gas rents (% of GDP) | NY.GDP.NGAS.RT.ZS | — | Rents are computed by the World Bank as the difference between the value of production at world prices and total costs of production, expressed as a share of GDP. Ores and metals trade shares follow the UNCTAD SITC definition (sections 27, 28 and 68 plus item 667). |
| Oil rents (% of GDP) | NY.GDP.PETR.RT.ZS | — | Rents are computed by the World Bank as the difference between the value of production at world prices and total costs of production, expressed as a share of GDP. Ores and metals trade shares follow the UNCTAD SITC definition (sections 27, 28 and 68 plus item 667). |
| Total natural resources rents (% of GDP) | NY.GDP.TOTL.RT.ZS | — | Rents are computed by the World Bank as the difference between the value of production at world prices and total costs of production, expressed as a share of GDP. Ores and metals trade shares follow the UNCTAD SITC definition (sections 27, 28 and 68 plus item 667). |
| Ores and metals imports (% of merchandise imports) | TM.VAL.MMTL.ZS.UN | — | Rents are computed by the World Bank as the difference between the value of production at world prices and total costs of production, expressed as a share of GDP. Ores and metals trade shares follow the UNCTAD SITC definition (sections 27, 28 and 68 plus item 667). |
| Ores and metals exports (% of merchandise exports) | TX.VAL.MMTL.ZS.UN | — | Rents are computed by the World Bank as the difference between the value of production at world prices and total costs of production, expressed as a share of GDP. Ores and metals trade shares follow the UNCTAD SITC definition (sections 27, 28 and 68 plus item 667). |
People across borders: migrant stock, net migration, refugees and remittances
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Personal remittances, paid (current US$) | BM.TRF.PWKR.CD.DT | — | Migrant stock is a mid-year estimate interpolated between census rounds and is not an annual measurement; net migration is a five-year residual from population accounting. Neither is a count of movements, and the difference matters for any question about flow rather than presence. |
| Personal remittances, received (current US$) | BX.TRF.PWKR.CD.DT | — | Migrant stock is a mid-year estimate interpolated between census rounds and is not an annual measurement; net migration is a five-year residual from population accounting. Neither is a count of movements, and the difference matters for any question about flow rather than presence. |
| Personal remittances, received (% of GDP) | BX.TRF.PWKR.DT.GD.ZS | — | Migrant stock is a mid-year estimate interpolated between census rounds and is not an annual measurement; net migration is a five-year residual from population accounting. Neither is a count of movements, and the difference matters for any question about flow rather than presence. |
| Net migration | SM.POP.NETM | — | Migrant stock is a mid-year estimate interpolated between census rounds and is not an annual measurement; net migration is a five-year residual from population accounting. Neither is a count of movements, and the difference matters for any question about flow rather than presence. |
| International migrant stock, total | SM.POP.TOTL | — | Migrant stock is a mid-year estimate interpolated between census rounds and is not an annual measurement; net migration is a five-year residual from population accounting. Neither is a count of movements, and the difference matters for any question about flow rather than presence. |
| International migrant stock (% of population) | SM.POP.TOTL.ZS | — | Migrant stock is a mid-year estimate interpolated between census rounds and is not an annual measurement; net migration is a five-year residual from population accounting. Neither is a count of movements, and the difference matters for any question about flow rather than presence. |
Trade openness: trade, exports and imports as a share of GDP
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Exports of goods and services (% of GDP) | NE.EXP.GNFS.ZS | — | Ratios computed by the World Bank from national accounts; trade equals the sum of exports and imports of goods and services divided by GDP. |
| Imports of goods and services (% of GDP) | NE.IMP.GNFS.ZS | — | Ratios computed by the World Bank from national accounts; trade equals the sum of exports and imports of goods and services divided by GDP. |
| Trade (% of GDP) | NE.TRD.GNFS.ZS | — | Ratios computed by the World Bank from national accounts; trade equals the sum of exports and imports of goods and services divided by GDP. |
World Development Indicators: Agriculture and rural development (part 1 of 2)
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Fertilizer consumption (% of fertilizer production) | AG.CON.FERT.PT.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: FAO electronic files and web site, Food and Agriculture Organization of the United Nations (FAO); FAOSTAT, Food and Agriculture Organization of the United Nations (FAO); Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3, Center For International Earth Science Information Network (CIESIN) - Columbi; Staff estimates, World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO). Cells with no value are not stored. |
| Fertilizer consumption (kilograms per hectare of arable land) | AG.CON.FERT.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: FAO electronic files and web site, Food and Agriculture Organization of the United Nations (FAO); FAOSTAT, Food and Agriculture Organization of the United Nations (FAO); Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3, Center For International Earth Science Information Network (CIESIN) - Columbi; Staff estimates, World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO). Cells with no value are not stored. |
| Agricultural land (sq. km) | AG.LND.AGRI.K2 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: FAO electronic files and web site, Food and Agriculture Organization of the United Nations (FAO); FAOSTAT, Food and Agriculture Organization of the United Nations (FAO); Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3, Center For International Earth Science Information Network (CIESIN) - Columbi; Staff estimates, World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO). Cells with no value are not stored. |
| Agricultural land (% of land area) | AG.LND.AGRI.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: FAO electronic files and web site, Food and Agriculture Organization of the United Nations (FAO); FAOSTAT, Food and Agriculture Organization of the United Nations (FAO); Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3, Center For International Earth Science Information Network (CIESIN) - Columbi; Staff estimates, World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO). Cells with no value are not stored. |
| Arable land (hectares) | AG.LND.ARBL.HA | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: FAO electronic files and web site, Food and Agriculture Organization of the United Nations (FAO); FAOSTAT, Food and Agriculture Organization of the United Nations (FAO); Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3, Center For International Earth Science Information Network (CIESIN) - Columbi; Staff estimates, World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO). Cells with no value are not stored. |
| Arable land (hectares per person) | AG.LND.ARBL.HA.PC | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: FAO electronic files and web site, Food and Agriculture Organization of the United Nations (FAO); FAOSTAT, Food and Agriculture Organization of the United Nations (FAO); Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3, Center For International Earth Science Information Network (CIESIN) - Columbi; Staff estimates, World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO). Cells with no value are not stored. |
| Arable land (% of land area) | AG.LND.ARBL.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: FAO electronic files and web site, Food and Agriculture Organization of the United Nations (FAO); FAOSTAT, Food and Agriculture Organization of the United Nations (FAO); Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3, Center For International Earth Science Information Network (CIESIN) - Columbi; Staff estimates, World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO). Cells with no value are not stored. |
| Land under cereal production (hectares) | AG.LND.CREL.HA | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: FAO electronic files and web site, Food and Agriculture Organization of the United Nations (FAO); FAOSTAT, Food and Agriculture Organization of the United Nations (FAO); Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3, Center For International Earth Science Information Network (CIESIN) - Columbi; Staff estimates, World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO). Cells with no value are not stored. |
| Permanent cropland (% of land area) | AG.LND.CROP.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: FAO electronic files and web site, Food and Agriculture Organization of the United Nations (FAO); FAOSTAT, Food and Agriculture Organization of the United Nations (FAO); Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3, Center For International Earth Science Information Network (CIESIN) - Columbi; Staff estimates, World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO). Cells with no value are not stored. |
| Rural land area where elevation is below 5 meters (sq. km) | AG.LND.EL5M.RU.K2 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: FAO electronic files and web site, Food and Agriculture Organization of the United Nations (FAO); FAOSTAT, Food and Agriculture Organization of the United Nations (FAO); Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3, Center For International Earth Science Information Network (CIESIN) - Columbi; Staff estimates, World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO). Cells with no value are not stored. |
| Rural land area where elevation is below 5 meters (% of total land area) | AG.LND.EL5M.RU.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: FAO electronic files and web site, Food and Agriculture Organization of the United Nations (FAO); FAOSTAT, Food and Agriculture Organization of the United Nations (FAO); Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3, Center For International Earth Science Information Network (CIESIN) - Columbi; Staff estimates, World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO). Cells with no value are not stored. |
| Forest area (sq. km) | AG.LND.FRST.K2 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: FAO electronic files and web site, Food and Agriculture Organization of the United Nations (FAO); FAOSTAT, Food and Agriculture Organization of the United Nations (FAO); Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3, Center For International Earth Science Information Network (CIESIN) - Columbi; Staff estimates, World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO). Cells with no value are not stored. |
| Forest area (% of land area) | AG.LND.FRST.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: FAO electronic files and web site, Food and Agriculture Organization of the United Nations (FAO); FAOSTAT, Food and Agriculture Organization of the United Nations (FAO); Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3, Center For International Earth Science Information Network (CIESIN) - Columbi; Staff estimates, World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO). Cells with no value are not stored. |
| Agricultural irrigated land (% of total agricultural land) | AG.LND.IRIG.AG.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: FAO electronic files and web site, Food and Agriculture Organization of the United Nations (FAO); FAOSTAT, Food and Agriculture Organization of the United Nations (FAO); Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3, Center For International Earth Science Information Network (CIESIN) - Columbi; Staff estimates, World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO). Cells with no value are not stored. |
| Average precipitation in depth (mm per year) | AG.LND.PRCP.MM | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: FAO electronic files and web site, Food and Agriculture Organization of the United Nations (FAO); FAOSTAT, Food and Agriculture Organization of the United Nations (FAO); Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3, Center For International Earth Science Information Network (CIESIN) - Columbi; Staff estimates, World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO). Cells with no value are not stored. |
| Land area (sq. km) | AG.LND.TOTL.K2 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: FAO electronic files and web site, Food and Agriculture Organization of the United Nations (FAO); FAOSTAT, Food and Agriculture Organization of the United Nations (FAO); Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3, Center For International Earth Science Information Network (CIESIN) - Columbi; Staff estimates, World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO). Cells with no value are not stored. |
| Rural land area (sq. km) | AG.LND.TOTL.RU.K2 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: FAO electronic files and web site, Food and Agriculture Organization of the United Nations (FAO); FAOSTAT, Food and Agriculture Organization of the United Nations (FAO); Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3, Center For International Earth Science Information Network (CIESIN) - Columbi; Staff estimates, World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO). Cells with no value are not stored. |
| Cereal production (metric tons) | AG.PRD.CREL.MT | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: FAO electronic files and web site, Food and Agriculture Organization of the United Nations (FAO); FAOSTAT, Food and Agriculture Organization of the United Nations (FAO); Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3, Center For International Earth Science Information Network (CIESIN) - Columbi; Staff estimates, World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO). Cells with no value are not stored. |
| Crop production index (2014-2016 = 100) | AG.PRD.CROP.XD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: FAO electronic files and web site, Food and Agriculture Organization of the United Nations (FAO); FAOSTAT, Food and Agriculture Organization of the United Nations (FAO); Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3, Center For International Earth Science Information Network (CIESIN) - Columbi; Staff estimates, World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO). Cells with no value are not stored. |
| Food production index (2014-2016 = 100) | AG.PRD.FOOD.XD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: FAO electronic files and web site, Food and Agriculture Organization of the United Nations (FAO); FAOSTAT, Food and Agriculture Organization of the United Nations (FAO); Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3, Center For International Earth Science Information Network (CIESIN) - Columbi; Staff estimates, World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO). Cells with no value are not stored. |
| Livestock production index (2014-2016 = 100) | AG.PRD.LVSK.XD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: FAO electronic files and web site, Food and Agriculture Organization of the United Nations (FAO); FAOSTAT, Food and Agriculture Organization of the United Nations (FAO); Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3, Center For International Earth Science Information Network (CIESIN) - Columbi; Staff estimates, World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO). Cells with no value are not stored. |
| Surface area (sq. km) | AG.SRF.TOTL.K2 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: FAO electronic files and web site, Food and Agriculture Organization of the United Nations (FAO); FAOSTAT, Food and Agriculture Organization of the United Nations (FAO); Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3, Center For International Earth Science Information Network (CIESIN) - Columbi; Staff estimates, World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO). Cells with no value are not stored. |
| Cereal yield (kg per hectare) | AG.YLD.CREL.KG | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: FAO electronic files and web site, Food and Agriculture Organization of the United Nations (FAO); FAOSTAT, Food and Agriculture Organization of the United Nations (FAO); Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3, Center For International Earth Science Information Network (CIESIN) - Columbi; Staff estimates, World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO). Cells with no value are not stored. |
| Access to electricity, rural (% of rural population) | EG.ELC.ACCS.RU.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: FAO electronic files and web site, Food and Agriculture Organization of the United Nations (FAO); FAOSTAT, Food and Agriculture Organization of the United Nations (FAO); Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3, Center For International Earth Science Information Network (CIESIN) - Columbi; Staff estimates, World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO). Cells with no value are not stored. |
| Rural population living in areas where elevation is below 5 meters (% of total population) | EN.POP.EL5M.RU.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: FAO electronic files and web site, Food and Agriculture Organization of the United Nations (FAO); FAOSTAT, Food and Agriculture Organization of the United Nations (FAO); Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3, Center For International Earth Science Information Network (CIESIN) - Columbi; Staff estimates, World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO). Cells with no value are not stored. |
| Annual freshwater withdrawals, agriculture (% of total freshwater withdrawal) | ER.H2O.FWAG.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: FAO electronic files and web site, Food and Agriculture Organization of the United Nations (FAO); FAOSTAT, Food and Agriculture Organization of the United Nations (FAO); Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3, Center For International Earth Science Information Network (CIESIN) - Columbi; Staff estimates, World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO). Cells with no value are not stored. |
| Agriculture, forestry, and fishing, value added (current US$) | NV.AGR.TOTL.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: FAO electronic files and web site, Food and Agriculture Organization of the United Nations (FAO); FAOSTAT, Food and Agriculture Organization of the United Nations (FAO); Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3, Center For International Earth Science Information Network (CIESIN) - Columbi; Staff estimates, World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO). Cells with no value are not stored. |
| Agriculture, forestry, and fishing, value added (% of GDP) | NV.AGR.TOTL.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: FAO electronic files and web site, Food and Agriculture Organization of the United Nations (FAO); FAOSTAT, Food and Agriculture Organization of the United Nations (FAO); Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3, Center For International Earth Science Information Network (CIESIN) - Columbi; Staff estimates, World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO). Cells with no value are not stored. |
| Employment in agriculture, female (% of female employment) (modeled ILO estimate) | SL.AGR.EMPL.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: FAO electronic files and web site, Food and Agriculture Organization of the United Nations (FAO); FAOSTAT, Food and Agriculture Organization of the United Nations (FAO); Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3, Center For International Earth Science Information Network (CIESIN) - Columbi; Staff estimates, World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO). Cells with no value are not stored. |
| Employment in agriculture, male (% of male employment) (modeled ILO estimate) | SL.AGR.EMPL.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: FAO electronic files and web site, Food and Agriculture Organization of the United Nations (FAO); FAOSTAT, Food and Agriculture Organization of the United Nations (FAO); Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3, Center For International Earth Science Information Network (CIESIN) - Columbi; Staff estimates, World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO). Cells with no value are not stored. |
World Development Indicators: Agriculture and rural development (part 2 of 2)
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Employment in agriculture (% of total employment) (modeled ILO estimate) | SL.AGR.EMPL.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); World Urbanization Prospects, United Nations (UN); Comtrade database, United Nations (UN); World Integrated Trade Solution system (WITS); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO). Cells with no value are not stored. |
| Rural population | SP.RUR.TOTL | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); World Urbanization Prospects, United Nations (UN); Comtrade database, United Nations (UN); World Integrated Trade Solution system (WITS); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO). Cells with no value are not stored. |
| Rural population growth (annual %) | SP.RUR.TOTL.ZG | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); World Urbanization Prospects, United Nations (UN); Comtrade database, United Nations (UN); World Integrated Trade Solution system (WITS); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO). Cells with no value are not stored. |
| Rural population (% of total population) | SP.RUR.TOTL.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); World Urbanization Prospects, United Nations (UN); Comtrade database, United Nations (UN); World Integrated Trade Solution system (WITS); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO). Cells with no value are not stored. |
| Agricultural raw materials imports (% of merchandise imports) | TM.VAL.AGRI.ZS.UN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); World Urbanization Prospects, United Nations (UN); Comtrade database, United Nations (UN); World Integrated Trade Solution system (WITS); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO). Cells with no value are not stored. |
| Agricultural raw materials exports (% of merchandise exports) | TX.VAL.AGRI.ZS.UN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); World Urbanization Prospects, United Nations (UN); Comtrade database, United Nations (UN); World Integrated Trade Solution system (WITS); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO). Cells with no value are not stored. |
World Development Indicators: Aid effectiveness (part 1 of 3)
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Net bilateral aid flows from DAC donors, Australia (current US$) | DC.DAC.AUSL.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net bilateral aid flows from DAC donors, Austria (current US$) | DC.DAC.AUTL.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net bilateral aid flows from DAC donors, Belgium (current US$) | DC.DAC.BELL.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net bilateral aid flows from DAC donors, Canada (current US$) | DC.DAC.CANL.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net bilateral aid flows from DAC donors, European Union institutions (current US$) | DC.DAC.CECL.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net bilateral aid flows from DAC donors, Switzerland (current US$) | DC.DAC.CHEL.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net bilateral aid flows from DAC donors, Czechia (current US$) | DC.DAC.CZEL.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net bilateral aid flows from DAC donors, Germany (current US$) | DC.DAC.DEUL.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net bilateral aid flows from DAC donors, Denmark (current US$) | DC.DAC.DNKL.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net bilateral aid flows from DAC donors, Spain (current US$) | DC.DAC.ESPL.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net bilateral aid flows from DAC donors, Estonia (current US$) | DC.DAC.ESTL.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net bilateral aid flows from DAC donors, Finland (current US$) | DC.DAC.FINL.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net bilateral aid flows from DAC donors, France (current US$) | DC.DAC.FRAL.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net bilateral aid flows from DAC donors, United Kingdom (current US$) | DC.DAC.GBRL.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net bilateral aid flows from DAC donors, Greece (current US$) | DC.DAC.GRCL.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net bilateral aid flows from DAC donors, Hungary (current US$) | DC.DAC.HUNL.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net bilateral aid flows from DAC donors, Ireland (current US$) | DC.DAC.IRLL.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net bilateral aid flows from DAC donors, Iceland (current US$) | DC.DAC.ISLL.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net bilateral aid flows from DAC donors, Italy (current US$) | DC.DAC.ITAL.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net bilateral aid flows from DAC donors, Japan (current US$) | DC.DAC.JPNL.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net bilateral aid flows from DAC donors, Korea, Rep. (current US$) | DC.DAC.KORL.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net bilateral aid flows from DAC donors, Lithuania (current US$) | DC.DAC.LTUL.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net bilateral aid flows from DAC donors, Luxembourg (current US$) | DC.DAC.LUXL.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net bilateral aid flows from DAC donors, Netherlands (current US$) | DC.DAC.NLDL.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net bilateral aid flows from DAC donors, Norway (current US$) | DC.DAC.NORL.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net bilateral aid flows from DAC donors, New Zealand (current US$) | DC.DAC.NZLL.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net bilateral aid flows from DAC donors, Poland (current US$) | DC.DAC.POLL.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net bilateral aid flows from DAC donors, Portugal (current US$) | DC.DAC.PRTL.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net bilateral aid flows from DAC donors, Slovak Republic (current US$) | DC.DAC.SVKL.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net bilateral aid flows from DAC donors, Slovenia (current US$) | DC.DAC.SVNL.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
World Development Indicators: Aid effectiveness (part 2 of 3)
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Net bilateral aid flows from DAC donors, Sweden (current US$) | DC.DAC.SWEL.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD); World Bank gross capital formation estimates, World Bank (WB). Cells with no value are not stored. |
| Net bilateral aid flows from DAC donors, Total (current US$) | DC.DAC.TOTL.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD); World Bank gross capital formation estimates, World Bank (WB). Cells with no value are not stored. |
| Net bilateral aid flows from DAC donors, United States (current US$) | DC.DAC.USAL.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD); World Bank gross capital formation estimates, World Bank (WB). Cells with no value are not stored. |
| Net official flows from UN agencies, FAO (current US$) | DT.NFL.FAOG.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD); World Bank gross capital formation estimates, World Bank (WB). Cells with no value are not stored. |
| Net official flows from UN agencies, IAEA (current US$) | DT.NFL.IAEA.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD); World Bank gross capital formation estimates, World Bank (WB). Cells with no value are not stored. |
| Net official flows from UN agencies, IFAD (current US$) | DT.NFL.IFAD.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD); World Bank gross capital formation estimates, World Bank (WB). Cells with no value are not stored. |
| Net official flows from UN agencies, ILO (current US$) | DT.NFL.ILOG.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD); World Bank gross capital formation estimates, World Bank (WB). Cells with no value are not stored. |
| Net official flows from UN agencies, UNAIDS (current US$) | DT.NFL.UNAI.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD); World Bank gross capital formation estimates, World Bank (WB). Cells with no value are not stored. |
| Net official flows from UN agencies, UNICEF (current US$) | DT.NFL.UNCF.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD); World Bank gross capital formation estimates, World Bank (WB). Cells with no value are not stored. |
| Net official flows from UN agencies, UNHCR (current US$) | DT.NFL.UNCR.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD); World Bank gross capital formation estimates, World Bank (WB). Cells with no value are not stored. |
| Net official flows from UN agencies, UNDP (current US$) | DT.NFL.UNDP.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD); World Bank gross capital formation estimates, World Bank (WB). Cells with no value are not stored. |
| Net official flows from UN agencies, UNECE (current US$) | DT.NFL.UNEC.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD); World Bank gross capital formation estimates, World Bank (WB). Cells with no value are not stored. |
| Net official flows from UN agencies, UNEP (current US$) | DT.NFL.UNEP.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD); World Bank gross capital formation estimates, World Bank (WB). Cells with no value are not stored. |
| Net official flows from UN agencies, UNFPA (current US$) | DT.NFL.UNFP.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD); World Bank gross capital formation estimates, World Bank (WB). Cells with no value are not stored. |
| Net official flows from UN agencies, UNIDIR (current US$) | DT.NFL.UNID.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD); World Bank gross capital formation estimates, World Bank (WB). Cells with no value are not stored. |
| Net official flows from UN agencies, UNPBF (current US$) | DT.NFL.UNPB.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD); World Bank gross capital formation estimates, World Bank (WB). Cells with no value are not stored. |
| Net official flows from UN agencies, UNRWA (current US$) | DT.NFL.UNRW.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD); World Bank gross capital formation estimates, World Bank (WB). Cells with no value are not stored. |
| Net official flows from UN agencies, UNTA (current US$) | DT.NFL.UNTA.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD); World Bank gross capital formation estimates, World Bank (WB). Cells with no value are not stored. |
| Net official flows from UN agencies, UNWTO (current US$) | DT.NFL.UNWT.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD); World Bank gross capital formation estimates, World Bank (WB). Cells with no value are not stored. |
| Net official flows from UN agencies, WFP (current US$) | DT.NFL.WFPG.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD); World Bank gross capital formation estimates, World Bank (WB). Cells with no value are not stored. |
| Net official flows from UN agencies, WHO (current US$) | DT.NFL.WHOL.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD); World Bank gross capital formation estimates, World Bank (WB). Cells with no value are not stored. |
| Net official development assistance and official aid received (current US$) | DT.ODA.ALLD.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD); World Bank gross capital formation estimates, World Bank (WB). Cells with no value are not stored. |
| Net official development assistance and official aid received (constant 2023 US$) | DT.ODA.ALLD.KD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD); World Bank gross capital formation estimates, World Bank (WB). Cells with no value are not stored. |
| Net official aid received (current US$) | DT.ODA.OATL.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD); World Bank gross capital formation estimates, World Bank (WB). Cells with no value are not stored. |
| Net official aid received (constant 2023 US$) | DT.ODA.OATL.KD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD); World Bank gross capital formation estimates, World Bank (WB). Cells with no value are not stored. |
| Net official development assistance received (current US$) | DT.ODA.ODAT.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD); World Bank gross capital formation estimates, World Bank (WB). Cells with no value are not stored. |
| Net ODA received (% of gross capital formation) | DT.ODA.ODAT.GI.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD); World Bank gross capital formation estimates, World Bank (WB). Cells with no value are not stored. |
| Net ODA received (% of GNI) | DT.ODA.ODAT.GN.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD); World Bank gross capital formation estimates, World Bank (WB). Cells with no value are not stored. |
| Net official development assistance received (constant 2023 US$) | DT.ODA.ODAT.KD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD); World Bank gross capital formation estimates, World Bank (WB). Cells with no value are not stored. |
| Net ODA received (% of imports of goods, services and primary income) | DT.ODA.ODAT.MP.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD); World Bank gross capital formation estimates, World Bank (WB). Cells with no value are not stored. |
World Development Indicators: Aid effectiveness (part 3 of 3)
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Net ODA received per capita (current US$) | DT.ODA.ODAT.PC.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD); World Bank population estimates, World Bank (WB). Cells with no value are not stored. |
| Net ODA received (% of central government expense) | DT.ODA.ODAT.XP.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD); World Bank population estimates, World Bank (WB). Cells with no value are not stored. |
| School enrollment, primary and secondary (gross), gender parity index (GPI) | SE.ENR.PRSC.FM.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD); World Bank population estimates, World Bank (WB). Cells with no value are not stored. |
| Primary completion rate, total (% of relevant age group) | SE.PRM.CMPT.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD); World Bank population estimates, World Bank (WB). Cells with no value are not stored. |
World Development Indicators: Climate change
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Urban land area where elevation is below 5 meters (sq. km) | AG.LND.EL5M.UR.K2 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3, Center For International Earth Science Information Network (CIESIN) - Columbi; Protected Planet: The World Database on Protected Areas (WDPA) and World Database on Other Effective Area-based Conservation Measures (WD-OECM), UN Environment Programme; International Union for Conservation of Nature (IUCN); World Urbanization Prospects, United Nations (UN); CUNY Institute for Demographic Research (CIDR) - City University of New York. Cells with no value are not stored. |
| Urban land area where elevation is below 5 meters (% of total land area) | AG.LND.EL5M.UR.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3, Center For International Earth Science Information Network (CIESIN) - Columbi; Protected Planet: The World Database on Protected Areas (WDPA) and World Database on Other Effective Area-based Conservation Measures (WD-OECM), UN Environment Programme; International Union for Conservation of Nature (IUCN); World Urbanization Prospects, United Nations (UN); CUNY Institute for Demographic Research (CIDR) - City University of New York. Cells with no value are not stored. |
| Land area where elevation is below 5 meters (% of total land area) | AG.LND.EL5M.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3, Center For International Earth Science Information Network (CIESIN) - Columbi; Protected Planet: The World Database on Protected Areas (WDPA) and World Database on Other Effective Area-based Conservation Measures (WD-OECM), UN Environment Programme; International Union for Conservation of Nature (IUCN); World Urbanization Prospects, United Nations (UN); CUNY Institute for Demographic Research (CIDR) - City University of New York. Cells with no value are not stored. |
| Disaster risk reduction progress score (1-5 scale; 5=best) | EN.CLC.DRSK.XQ | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3, Center For International Earth Science Information Network (CIESIN) - Columbi; Protected Planet: The World Database on Protected Areas (WDPA) and World Database on Other Effective Area-based Conservation Measures (WD-OECM), UN Environment Programme; International Union for Conservation of Nature (IUCN); World Urbanization Prospects, United Nations (UN); CUNY Institute for Demographic Research (CIDR) - City University of New York. Cells with no value are not stored. |
| Droughts, floods, extreme temperatures (% of population, average 1990-2009) | EN.CLC.MDAT.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3, Center For International Earth Science Information Network (CIESIN) - Columbi; Protected Planet: The World Database on Protected Areas (WDPA) and World Database on Other Effective Area-based Conservation Measures (WD-OECM), UN Environment Programme; International Union for Conservation of Nature (IUCN); World Urbanization Prospects, United Nations (UN); CUNY Institute for Demographic Research (CIDR) - City University of New York. Cells with no value are not stored. |
| Urban population living in areas where elevation is below 5 meters (% of total population) | EN.POP.EL5M.UR.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3, Center For International Earth Science Information Network (CIESIN) - Columbi; Protected Planet: The World Database on Protected Areas (WDPA) and World Database on Other Effective Area-based Conservation Measures (WD-OECM), UN Environment Programme; International Union for Conservation of Nature (IUCN); World Urbanization Prospects, United Nations (UN); CUNY Institute for Demographic Research (CIDR) - City University of New York. Cells with no value are not stored. |
| Population living in areas where elevation is below 5 meters (% of total population) | EN.POP.EL5M.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3, Center For International Earth Science Information Network (CIESIN) - Columbi; Protected Planet: The World Database on Protected Areas (WDPA) and World Database on Other Effective Area-based Conservation Measures (WD-OECM), UN Environment Programme; International Union for Conservation of Nature (IUCN); World Urbanization Prospects, United Nations (UN); CUNY Institute for Demographic Research (CIDR) - City University of New York. Cells with no value are not stored. |
| Population in urban agglomerations of more than 1 million (% of total population) | EN.URB.MCTY.TL.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3, Center For International Earth Science Information Network (CIESIN) - Columbi; Protected Planet: The World Database on Protected Areas (WDPA) and World Database on Other Effective Area-based Conservation Measures (WD-OECM), UN Environment Programme; International Union for Conservation of Nature (IUCN); World Urbanization Prospects, United Nations (UN); CUNY Institute for Demographic Research (CIDR) - City University of New York. Cells with no value are not stored. |
| Annual freshwater withdrawals, total (billion cubic meters) | ER.H2O.FWTL.K3 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3, Center For International Earth Science Information Network (CIESIN) - Columbi; Protected Planet: The World Database on Protected Areas (WDPA) and World Database on Other Effective Area-based Conservation Measures (WD-OECM), UN Environment Programme; International Union for Conservation of Nature (IUCN); World Urbanization Prospects, United Nations (UN); CUNY Institute for Demographic Research (CIDR) - City University of New York. Cells with no value are not stored. |
| Annual freshwater withdrawals, total (% of internal resources) | ER.H2O.FWTL.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3, Center For International Earth Science Information Network (CIESIN) - Columbi; Protected Planet: The World Database on Protected Areas (WDPA) and World Database on Other Effective Area-based Conservation Measures (WD-OECM), UN Environment Programme; International Union for Conservation of Nature (IUCN); World Urbanization Prospects, United Nations (UN); CUNY Institute for Demographic Research (CIDR) - City University of New York. Cells with no value are not stored. |
| Terrestrial protected areas (% of total land area) | ER.LND.PTLD.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3, Center For International Earth Science Information Network (CIESIN) - Columbi; Protected Planet: The World Database on Protected Areas (WDPA) and World Database on Other Effective Area-based Conservation Measures (WD-OECM), UN Environment Programme; International Union for Conservation of Nature (IUCN); World Urbanization Prospects, United Nations (UN); CUNY Institute for Demographic Research (CIDR) - City University of New York. Cells with no value are not stored. |
| Marine protected areas (% of territorial waters) | ER.MRN.PTMR.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3, Center For International Earth Science Information Network (CIESIN) - Columbi; Protected Planet: The World Database on Protected Areas (WDPA) and World Database on Other Effective Area-based Conservation Measures (WD-OECM), UN Environment Programme; International Union for Conservation of Nature (IUCN); World Urbanization Prospects, United Nations (UN); CUNY Institute for Demographic Research (CIDR) - City University of New York. Cells with no value are not stored. |
| Terrestrial and marine protected areas (% of total territorial area) | ER.PTD.TOTL.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3, Center For International Earth Science Information Network (CIESIN) - Columbi; Protected Planet: The World Database on Protected Areas (WDPA) and World Database on Other Effective Area-based Conservation Measures (WD-OECM), UN Environment Programme; International Union for Conservation of Nature (IUCN); World Urbanization Prospects, United Nations (UN); CUNY Institute for Demographic Research (CIDR) - City University of New York. Cells with no value are not stored. |
| CPIA public sector management and institutions cluster average (1=low to 6=high) | IQ.CPA.PUBS.XQ | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3, Center For International Earth Science Information Network (CIESIN) - Columbi; Protected Planet: The World Database on Protected Areas (WDPA) and World Database on Other Effective Area-based Conservation Measures (WD-OECM), UN Environment Programme; International Union for Conservation of Nature (IUCN); World Urbanization Prospects, United Nations (UN); CUNY Institute for Demographic Research (CIDR) - City University of New York. Cells with no value are not stored. |
| Population growth (annual %) | SP.POP.GROW | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3, Center For International Earth Science Information Network (CIESIN) - Columbi; Protected Planet: The World Database on Protected Areas (WDPA) and World Database on Other Effective Area-based Conservation Measures (WD-OECM), UN Environment Programme; International Union for Conservation of Nature (IUCN); World Urbanization Prospects, United Nations (UN); CUNY Institute for Demographic Research (CIDR) - City University of New York. Cells with no value are not stored. |
| Population, total | SP.POP.TOTL | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3, Center For International Earth Science Information Network (CIESIN) - Columbi; Protected Planet: The World Database on Protected Areas (WDPA) and World Database on Other Effective Area-based Conservation Measures (WD-OECM), UN Environment Programme; International Union for Conservation of Nature (IUCN); World Urbanization Prospects, United Nations (UN); CUNY Institute for Demographic Research (CIDR) - City University of New York. Cells with no value are not stored. |
| Urban population growth (annual %) | SP.URB.GROW | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3, Center For International Earth Science Information Network (CIESIN) - Columbi; Protected Planet: The World Database on Protected Areas (WDPA) and World Database on Other Effective Area-based Conservation Measures (WD-OECM), UN Environment Programme; International Union for Conservation of Nature (IUCN); World Urbanization Prospects, United Nations (UN); CUNY Institute for Demographic Research (CIDR) - City University of New York. Cells with no value are not stored. |
| Urban population | SP.URB.TOTL | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3, Center For International Earth Science Information Network (CIESIN) - Columbi; Protected Planet: The World Database on Protected Areas (WDPA) and World Database on Other Effective Area-based Conservation Measures (WD-OECM), UN Environment Programme; International Union for Conservation of Nature (IUCN); World Urbanization Prospects, United Nations (UN); CUNY Institute for Demographic Research (CIDR) - City University of New York. Cells with no value are not stored. |
| Urban population (% of total population) | SP.URB.TOTL.IN.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3, Center For International Earth Science Information Network (CIESIN) - Columbi; Protected Planet: The World Database on Protected Areas (WDPA) and World Database on Other Effective Area-based Conservation Measures (WD-OECM), UN Environment Programme; International Union for Conservation of Nature (IUCN); World Urbanization Prospects, United Nations (UN); CUNY Institute for Demographic Research (CIDR) - City University of New York. Cells with no value are not stored. |
World Development Indicators: Economy and growth (part 1 of 8)
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Trade in services (% of GDP) | BG.GSR.NFSV.GD.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); Balance of Payments database, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Official national sources; DAC2A: Aid (ODA) disbursements to countries and regions, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Communications, computer, etc. (% of service imports, BoP) | BM.GSR.CMCP.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); Balance of Payments database, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Official national sources; DAC2A: Aid (ODA) disbursements to countries and regions, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Primary income payments (BoP, current US$) | BM.GSR.FCTY.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); Balance of Payments database, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Official national sources; DAC2A: Aid (ODA) disbursements to countries and regions, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Imports of goods and services (BoP, current US$) | BM.GSR.GNFS.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); Balance of Payments database, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Official national sources; DAC2A: Aid (ODA) disbursements to countries and regions, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Insurance and financial services (% of service imports, BoP) | BM.GSR.INSF.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); Balance of Payments database, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Official national sources; DAC2A: Aid (ODA) disbursements to countries and regions, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Goods imports (BoP, current US$) | BM.GSR.MRCH.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); Balance of Payments database, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Official national sources; DAC2A: Aid (ODA) disbursements to countries and regions, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Service imports (BoP, current US$) | BM.GSR.NFSV.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); Balance of Payments database, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Official national sources; DAC2A: Aid (ODA) disbursements to countries and regions, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Imports of goods, services and primary income (BoP, current US$) | BM.GSR.TOTL.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); Balance of Payments database, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Official national sources; DAC2A: Aid (ODA) disbursements to countries and regions, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Transport services (% of service imports, BoP) | BM.GSR.TRAN.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); Balance of Payments database, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Official national sources; DAC2A: Aid (ODA) disbursements to countries and regions, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Travel services (% of service imports, BoP) | BM.GSR.TRVL.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); Balance of Payments database, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Official national sources; DAC2A: Aid (ODA) disbursements to countries and regions, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Foreign direct investment, net outflows (BoP, current US$) | BM.KLT.DINV.CD.WD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); Balance of Payments database, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Official national sources; DAC2A: Aid (ODA) disbursements to countries and regions, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Foreign direct investment, net outflows (% of GDP) | BM.KLT.DINV.WD.GD.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); Balance of Payments database, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Official national sources; DAC2A: Aid (ODA) disbursements to countries and regions, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Secondary income, other sectors, payments (BoP, current US$) | BM.TRF.PRVT.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); Balance of Payments database, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Official national sources; DAC2A: Aid (ODA) disbursements to countries and regions, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Current account balance (BoP, current US$) | BN.CAB.XOKA.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); Balance of Payments database, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Official national sources; DAC2A: Aid (ODA) disbursements to countries and regions, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net financial account (BoP, current US$) | BN.FIN.TOTL.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); Balance of Payments database, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Official national sources; DAC2A: Aid (ODA) disbursements to countries and regions, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net primary income (BoP, current US$) | BN.GSR.FCTY.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); Balance of Payments database, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Official national sources; DAC2A: Aid (ODA) disbursements to countries and regions, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net trade in goods and services (BoP, current US$) | BN.GSR.GNFS.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); Balance of Payments database, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Official national sources; DAC2A: Aid (ODA) disbursements to countries and regions, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net trade in goods (BoP, current US$) | BN.GSR.MRCH.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); Balance of Payments database, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Official national sources; DAC2A: Aid (ODA) disbursements to countries and regions, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net errors and omissions (BoP, current US$) | BN.KAC.EOMS.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); Balance of Payments database, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Official national sources; DAC2A: Aid (ODA) disbursements to countries and regions, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Foreign direct investment, net (BoP, current US$) | BN.KLT.DINV.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); Balance of Payments database, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Official national sources; DAC2A: Aid (ODA) disbursements to countries and regions, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Portfolio investment, net (BoP, current US$) | BN.KLT.PTXL.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); Balance of Payments database, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Official national sources; DAC2A: Aid (ODA) disbursements to countries and regions, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Reserves and related items (BoP, current US$) | BN.RES.INCL.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); Balance of Payments database, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Official national sources; DAC2A: Aid (ODA) disbursements to countries and regions, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net secondary income (BoP, current US$) | BN.TRF.CURR.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); Balance of Payments database, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Official national sources; DAC2A: Aid (ODA) disbursements to countries and regions, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net capital account (BoP, current US$) | BN.TRF.KOGT.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); Balance of Payments database, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Official national sources; DAC2A: Aid (ODA) disbursements to countries and regions, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Grants, excluding technical cooperation (BoP, current US$) | BX.GRT.EXTA.CD.WD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); Balance of Payments database, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Official national sources; DAC2A: Aid (ODA) disbursements to countries and regions, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Technical cooperation grants (BoP, current US$) | BX.GRT.TECH.CD.WD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); Balance of Payments database, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Official national sources; DAC2A: Aid (ODA) disbursements to countries and regions, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| ICT service exports (BoP, current US$) | BX.GSR.CCIS.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); Balance of Payments database, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Official national sources; DAC2A: Aid (ODA) disbursements to countries and regions, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| ICT service exports (% of service exports, BoP) | BX.GSR.CCIS.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); Balance of Payments database, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Official national sources; DAC2A: Aid (ODA) disbursements to countries and regions, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Communications, computer, etc. (% of service exports, BoP) | BX.GSR.CMCP.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); Balance of Payments database, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Official national sources; DAC2A: Aid (ODA) disbursements to countries and regions, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Primary income receipts (BoP, current US$) | BX.GSR.FCTY.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); Balance of Payments database, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Official national sources; DAC2A: Aid (ODA) disbursements to countries and regions, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
World Development Indicators: Economy and growth (part 2 of 8)
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Exports of goods and services (BoP, current US$) | BX.GSR.GNFS.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Staff estimates, World Bank (WB); International Debt Statistics, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Insurance and financial services (% of service exports, BoP) | BX.GSR.INSF.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Staff estimates, World Bank (WB); International Debt Statistics, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Goods exports (BoP, current US$) | BX.GSR.MRCH.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Staff estimates, World Bank (WB); International Debt Statistics, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Service exports (BoP, current US$) | BX.GSR.NFSV.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Staff estimates, World Bank (WB); International Debt Statistics, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Exports of goods, services and primary income (BoP, current US$) | BX.GSR.TOTL.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Staff estimates, World Bank (WB); International Debt Statistics, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Transport services (% of service exports, BoP) | BX.GSR.TRAN.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Staff estimates, World Bank (WB); International Debt Statistics, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Travel services (% of service exports, BoP) | BX.GSR.TRVL.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Staff estimates, World Bank (WB); International Debt Statistics, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Foreign direct investment, net inflows (BoP, current US$) | BX.KLT.DINV.CD.WD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Staff estimates, World Bank (WB); International Debt Statistics, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Portfolio equity, net inflows (BoP, current US$) | BX.PEF.TOTL.CD.WD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Staff estimates, World Bank (WB); International Debt Statistics, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Secondary income receipts (BoP, current US$) | BX.TRF.CURR.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Staff estimates, World Bank (WB); International Debt Statistics, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Personal transfers, receipts (BoP, current US$) | BX.TRF.PWKR.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Staff estimates, World Bank (WB); International Debt Statistics, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Short-term debt (% of total reserves) | DT.DOD.DSTC.IR.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Staff estimates, World Bank (WB); International Debt Statistics, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Short-term debt (% of exports of goods, services and primary income) | DT.DOD.DSTC.XP.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Staff estimates, World Bank (WB); International Debt Statistics, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Present value of external debt (current US$) | DT.DOD.PVLX.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Staff estimates, World Bank (WB); International Debt Statistics, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Present value of external debt (% of exports of goods, services and primary income) | DT.DOD.PVLX.EX.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Staff estimates, World Bank (WB); International Debt Statistics, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Present value of external debt (% of GNI) | DT.DOD.PVLX.GN.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Staff estimates, World Bank (WB); International Debt Statistics, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Total debt service (% of GNI) | DT.TDS.DECT.GN.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Staff estimates, World Bank (WB); International Debt Statistics, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Total reserves (includes gold, current US$) | FI.RES.TOTL.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Staff estimates, World Bank (WB); International Debt Statistics, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Total reserves minus gold (current US$) | FI.RES.XGLD.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Staff estimates, World Bank (WB); International Debt Statistics, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Inflation, consumer prices (annual %) | FP.CPI.TOTL.ZG | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Staff estimates, World Bank (WB); International Debt Statistics, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Central government debt, total (% of GDP) | GC.DOD.TOTL.GD.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Staff estimates, World Bank (WB); International Debt Statistics, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Revenue, excluding grants (% of GDP) | GC.REV.XGRT.GD.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Staff estimates, World Bank (WB); International Debt Statistics, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Expense (% of GDP) | GC.XPN.TOTL.GD.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Staff estimates, World Bank (WB); International Debt Statistics, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| General government final consumption expenditure (current US$) | NE.CON.GOVT.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Staff estimates, World Bank (WB); International Debt Statistics, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| General government final consumption expenditure (current LCU) | NE.CON.GOVT.CN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Staff estimates, World Bank (WB); International Debt Statistics, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| General government final consumption expenditure (constant 2015 US$) | NE.CON.GOVT.KD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Staff estimates, World Bank (WB); International Debt Statistics, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| General government final consumption expenditure (annual % growth) | NE.CON.GOVT.KD.ZG | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Staff estimates, World Bank (WB); International Debt Statistics, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| General government final consumption expenditure (constant LCU) | NE.CON.GOVT.KN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Staff estimates, World Bank (WB); International Debt Statistics, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| General government final consumption expenditure (% of GDP) | NE.CON.GOVT.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Staff estimates, World Bank (WB); International Debt Statistics, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Households and NPISHs Final consumption expenditure per capita, PPP (current international $) | NE.CON.PCAP.PP.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Staff estimates, World Bank (WB); International Debt Statistics, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
World Development Indicators: Economy and growth (part 3 of 8)
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Households and NPISHs Final consumption expenditure per capita, PPP (constant 2021 international $) | NE.CON.PCAP.PP.KD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Households and NPISHs Final consumption expenditure (current US$) | NE.CON.PRVT.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Households and NPISHs Final consumption expenditure (current LCU) | NE.CON.PRVT.CN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Households and NPISHs final consumption expenditure: linked series (current LCU) | NE.CON.PRVT.CN.AD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Households and NPISHs Final consumption expenditure (constant 2015 US$) | NE.CON.PRVT.KD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Households and NPISHs Final consumption expenditure (annual % growth) | NE.CON.PRVT.KD.ZG | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Households and NPISHs Final consumption expenditure (constant LCU) | NE.CON.PRVT.KN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Households and NPISHs Final consumption expenditure per capita (constant 2015 US$) | NE.CON.PRVT.PC.KD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Households and NPISHs Final consumption expenditure per capita growth (annual %) | NE.CON.PRVT.PC.KD.ZG | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Households and NPISHs Final consumption expenditure, PPP (current international $) | NE.CON.PRVT.PP.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Households and NPISHs Final consumption expenditure, PPP (constant 2021 international $) | NE.CON.PRVT.PP.KD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Households and NPISHs final consumption expenditure (% of GDP) | NE.CON.PRVT.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Final consumption expenditure (current US$) | NE.CON.TOTL.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Final consumption expenditure (current LCU) | NE.CON.TOTL.CN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Final consumption expenditure (constant 2015 US$) | NE.CON.TOTL.KD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Final consumption expenditure (annual % growth) | NE.CON.TOTL.KD.ZG | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Final consumption expenditure (constant LCU) | NE.CON.TOTL.KN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Final consumption expenditure (% of GDP) | NE.CON.TOTL.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Gross national expenditure deflator (base year varies by country) | NE.DAB.DEFL.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Gross national expenditure (current US$) | NE.DAB.TOTL.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Gross national expenditure (current LCU) | NE.DAB.TOTL.CN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Gross national expenditure (constant 2015 US$) | NE.DAB.TOTL.KD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Gross national expenditure (constant LCU) | NE.DAB.TOTL.KN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Gross national expenditure (% of GDP) | NE.DAB.TOTL.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Exports of goods and services (current US$) | NE.EXP.GNFS.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Exports of goods and services (current LCU) | NE.EXP.GNFS.CN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Exports of goods and services (constant 2015 US$) | NE.EXP.GNFS.KD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Exports of goods and services (annual % growth) | NE.EXP.GNFS.KD.ZG | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Exports of goods and services (constant LCU) | NE.EXP.GNFS.KN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Gross fixed capital formation, private sector (current LCU) | NE.GDI.FPRV.CN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
World Development Indicators: Economy and growth (part 4 of 8)
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Gross fixed capital formation, private sector (% of GDP) | NE.GDI.FPRV.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Gross fixed capital formation (current US$) | NE.GDI.FTOT.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Gross fixed capital formation (current LCU) | NE.GDI.FTOT.CN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Gross fixed capital formation (constant 2015 US$) | NE.GDI.FTOT.KD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Gross fixed capital formation (annual % growth) | NE.GDI.FTOT.KD.ZG | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Gross fixed capital formation (constant LCU) | NE.GDI.FTOT.KN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Gross fixed capital formation (% of GDP) | NE.GDI.FTOT.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Changes in inventories (current US$) | NE.GDI.STKB.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Changes in inventories (current LCU) | NE.GDI.STKB.CN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Changes in inventories (constant LCU) | NE.GDI.STKB.KN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Gross capital formation (current US$) | NE.GDI.TOTL.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Gross capital formation (current LCU) | NE.GDI.TOTL.CN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Gross capital formation (constant 2015 US$) | NE.GDI.TOTL.KD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Gross capital formation (annual % growth) | NE.GDI.TOTL.KD.ZG | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Gross capital formation (constant LCU) | NE.GDI.TOTL.KN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Gross capital formation (% of GDP) | NE.GDI.TOTL.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Imports of goods and services (current US$) | NE.IMP.GNFS.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Imports of goods and services (current LCU) | NE.IMP.GNFS.CN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Imports of goods and services (constant 2015 US$) | NE.IMP.GNFS.KD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Imports of goods and services (annual % growth) | NE.IMP.GNFS.KD.ZG | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Imports of goods and services (constant LCU) | NE.IMP.GNFS.KN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| External balance on goods and services (current US$) | NE.RSB.GNFS.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| External balance on goods and services (current LCU) | NE.RSB.GNFS.CN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| External balance on goods and services (constant LCU) | NE.RSB.GNFS.KN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| External balance on goods and services (% of GDP) | NE.RSB.GNFS.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Agriculture, forestry, and fishing, value added per worker (constant 2015 US$) | NV.AGR.EMPL.KD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Agriculture, forestry, and fishing, value added (current LCU) | NV.AGR.TOTL.CN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Agriculture, forestry, and fishing, value added (constant 2015 US$) | NV.AGR.TOTL.KD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Agriculture, forestry, and fishing, value added (annual % growth) | NV.AGR.TOTL.KD.ZG | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
| Agriculture, forestry, and fishing, value added (constant LCU) | NV.AGR.TOTL.KN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks. Cells with no value are not stored. |
World Development Indicators: Economy and growth (part 5 of 8)
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Financial intermediary services indirectly Measured (FISIM) (current LCU) | NV.FSM.TOTL.CN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; International Yearbook of Industrial Statistics, UN Industrial Development Organization (UNIDO); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Financial intermediary services indirectly Measured (FISIM) (constant LCU) | NV.FSM.TOTL.KN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; International Yearbook of Industrial Statistics, UN Industrial Development Organization (UNIDO); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Industry (including construction), value added per worker (constant 2015 US$) | NV.IND.EMPL.KD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; International Yearbook of Industrial Statistics, UN Industrial Development Organization (UNIDO); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Manufacturing, value added (current US$) | NV.IND.MANF.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; International Yearbook of Industrial Statistics, UN Industrial Development Organization (UNIDO); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Manufacturing, value added (current LCU) | NV.IND.MANF.CN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; International Yearbook of Industrial Statistics, UN Industrial Development Organization (UNIDO); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Manufacturing, value added (constant 2015 US$) | NV.IND.MANF.KD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; International Yearbook of Industrial Statistics, UN Industrial Development Organization (UNIDO); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Manufacturing, value added (annual % growth) | NV.IND.MANF.KD.ZG | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; International Yearbook of Industrial Statistics, UN Industrial Development Organization (UNIDO); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Manufacturing, value added (constant LCU) | NV.IND.MANF.KN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; International Yearbook of Industrial Statistics, UN Industrial Development Organization (UNIDO); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Manufacturing, value added (% of GDP) | NV.IND.MANF.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; International Yearbook of Industrial Statistics, UN Industrial Development Organization (UNIDO); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Industry (including construction), value added (current US$) | NV.IND.TOTL.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; International Yearbook of Industrial Statistics, UN Industrial Development Organization (UNIDO); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Industry (including construction), value added (current LCU) | NV.IND.TOTL.CN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; International Yearbook of Industrial Statistics, UN Industrial Development Organization (UNIDO); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Industry (including construction), value added (constant 2015 US$) | NV.IND.TOTL.KD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; International Yearbook of Industrial Statistics, UN Industrial Development Organization (UNIDO); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Industry (including construction), value added (annual % growth) | NV.IND.TOTL.KD.ZG | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; International Yearbook of Industrial Statistics, UN Industrial Development Organization (UNIDO); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Industry (including construction), value added (constant LCU) | NV.IND.TOTL.KN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; International Yearbook of Industrial Statistics, UN Industrial Development Organization (UNIDO); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Industry (including construction), value added (% of GDP) | NV.IND.TOTL.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; International Yearbook of Industrial Statistics, UN Industrial Development Organization (UNIDO); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Chemicals (% of value added in manufacturing) | NV.MNF.CHEM.ZS.UN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; International Yearbook of Industrial Statistics, UN Industrial Development Organization (UNIDO); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Food, beverages and tobacco (% of value added in manufacturing) | NV.MNF.FBTO.ZS.UN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; International Yearbook of Industrial Statistics, UN Industrial Development Organization (UNIDO); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Machinery and transport equipment (% of value added in manufacturing) | NV.MNF.MTRN.ZS.UN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; International Yearbook of Industrial Statistics, UN Industrial Development Organization (UNIDO); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Other manufacturing (% of value added in manufacturing) | NV.MNF.OTHR.ZS.UN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; International Yearbook of Industrial Statistics, UN Industrial Development Organization (UNIDO); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Medium and high-tech manufacturing value added (% manufacturing value added) | NV.MNF.TECH.ZS.UN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; International Yearbook of Industrial Statistics, UN Industrial Development Organization (UNIDO); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Textiles and clothing (% of value added in manufacturing) | NV.MNF.TXTL.ZS.UN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; International Yearbook of Industrial Statistics, UN Industrial Development Organization (UNIDO); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Services, value added per worker (constant 2015 US$) | NV.SRV.EMPL.KD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; International Yearbook of Industrial Statistics, UN Industrial Development Organization (UNIDO); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Services, value added (current US$) | NV.SRV.TOTL.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; International Yearbook of Industrial Statistics, UN Industrial Development Organization (UNIDO); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Services, value added (current LCU) | NV.SRV.TOTL.CN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; International Yearbook of Industrial Statistics, UN Industrial Development Organization (UNIDO); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Services, value added (constant 2015 US$) | NV.SRV.TOTL.KD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; International Yearbook of Industrial Statistics, UN Industrial Development Organization (UNIDO); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Services, value added (annual % growth) | NV.SRV.TOTL.KD.ZG | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; International Yearbook of Industrial Statistics, UN Industrial Development Organization (UNIDO); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Services, value added (constant LCU) | NV.SRV.TOTL.KN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; International Yearbook of Industrial Statistics, UN Industrial Development Organization (UNIDO); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Services, value added (% of GDP) | NV.SRV.TOTL.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; International Yearbook of Industrial Statistics, UN Industrial Development Organization (UNIDO); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Adjusted savings: education expenditure (current US$) | NY.ADJ.AEDU.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; International Yearbook of Industrial Statistics, UN Industrial Development Organization (UNIDO); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Adjusted savings: education expenditure (% of GNI) | NY.ADJ.AEDU.GN.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; International Yearbook of Industrial Statistics, UN Industrial Development Organization (UNIDO); Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
World Development Indicators: Economy and growth (part 6 of 8)
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Adjusted savings: carbon dioxide damage (current US$) | NY.ADJ.DCO2.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Global Burden of Disease 2013 study, Institute for Health Metrics and Evaluation (IHME). Cells with no value are not stored. |
| Adjusted savings: carbon dioxide damage (% of GNI) | NY.ADJ.DCO2.GN.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Global Burden of Disease 2013 study, Institute for Health Metrics and Evaluation (IHME). Cells with no value are not stored. |
| Adjusted savings: net forest depletion (current US$) | NY.ADJ.DFOR.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Global Burden of Disease 2013 study, Institute for Health Metrics and Evaluation (IHME). Cells with no value are not stored. |
| Adjusted savings: net forest depletion (% of GNI) | NY.ADJ.DFOR.GN.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Global Burden of Disease 2013 study, Institute for Health Metrics and Evaluation (IHME). Cells with no value are not stored. |
| Adjusted savings: consumption of fixed capital (current US$) | NY.ADJ.DKAP.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Global Burden of Disease 2013 study, Institute for Health Metrics and Evaluation (IHME). Cells with no value are not stored. |
| Adjusted savings: consumption of fixed capital (% of GNI) | NY.ADJ.DKAP.GN.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Global Burden of Disease 2013 study, Institute for Health Metrics and Evaluation (IHME). Cells with no value are not stored. |
| Adjusted savings: mineral depletion (current US$) | NY.ADJ.DMIN.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Global Burden of Disease 2013 study, Institute for Health Metrics and Evaluation (IHME). Cells with no value are not stored. |
| Adjusted savings: mineral depletion (% of GNI) | NY.ADJ.DMIN.GN.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Global Burden of Disease 2013 study, Institute for Health Metrics and Evaluation (IHME). Cells with no value are not stored. |
| Adjusted savings: energy depletion (current US$) | NY.ADJ.DNGY.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Global Burden of Disease 2013 study, Institute for Health Metrics and Evaluation (IHME). Cells with no value are not stored. |
| Adjusted savings: energy depletion (% of GNI) | NY.ADJ.DNGY.GN.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Global Burden of Disease 2013 study, Institute for Health Metrics and Evaluation (IHME). Cells with no value are not stored. |
| Adjusted savings: particulate emission damage (current US$) | NY.ADJ.DPEM.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Global Burden of Disease 2013 study, Institute for Health Metrics and Evaluation (IHME). Cells with no value are not stored. |
| Adjusted savings: particulate emission damage (% of GNI) | NY.ADJ.DPEM.GN.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Global Burden of Disease 2013 study, Institute for Health Metrics and Evaluation (IHME). Cells with no value are not stored. |
| Adjusted savings: natural resources depletion (% of GNI) | NY.ADJ.DRES.GN.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Global Burden of Disease 2013 study, Institute for Health Metrics and Evaluation (IHME). Cells with no value are not stored. |
| Adjusted savings: gross savings (% of GNI) | NY.ADJ.ICTR.GN.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Global Burden of Disease 2013 study, Institute for Health Metrics and Evaluation (IHME). Cells with no value are not stored. |
| Adjusted savings: net national savings (current US$) | NY.ADJ.NNAT.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Global Burden of Disease 2013 study, Institute for Health Metrics and Evaluation (IHME). Cells with no value are not stored. |
| Adjusted savings: net national savings (% of GNI) | NY.ADJ.NNAT.GN.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Global Burden of Disease 2013 study, Institute for Health Metrics and Evaluation (IHME). Cells with no value are not stored. |
| Adjusted net national income (current US$) | NY.ADJ.NNTY.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Global Burden of Disease 2013 study, Institute for Health Metrics and Evaluation (IHME). Cells with no value are not stored. |
| Adjusted net national income (constant 2015 US$) | NY.ADJ.NNTY.KD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Global Burden of Disease 2013 study, Institute for Health Metrics and Evaluation (IHME). Cells with no value are not stored. |
| Adjusted net national income (annual % growth) | NY.ADJ.NNTY.KD.ZG | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Global Burden of Disease 2013 study, Institute for Health Metrics and Evaluation (IHME). Cells with no value are not stored. |
| Adjusted net national income per capita (current US$) | NY.ADJ.NNTY.PC.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Global Burden of Disease 2013 study, Institute for Health Metrics and Evaluation (IHME). Cells with no value are not stored. |
| Adjusted net national income per capita (constant 2015 US$) | NY.ADJ.NNTY.PC.KD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Global Burden of Disease 2013 study, Institute for Health Metrics and Evaluation (IHME). Cells with no value are not stored. |
| Adjusted net national income per capita (annual % growth) | NY.ADJ.NNTY.PC.KD.ZG | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Global Burden of Disease 2013 study, Institute for Health Metrics and Evaluation (IHME). Cells with no value are not stored. |
| Adjusted net savings, including particulate emission damage (current US$) | NY.ADJ.SVNG.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Global Burden of Disease 2013 study, Institute for Health Metrics and Evaluation (IHME). Cells with no value are not stored. |
| Adjusted net savings, including particulate emission damage (% of GNI) | NY.ADJ.SVNG.GN.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Global Burden of Disease 2013 study, Institute for Health Metrics and Evaluation (IHME). Cells with no value are not stored. |
| Adjusted net savings, excluding particulate emission damage (current US$) | NY.ADJ.SVNX.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Global Burden of Disease 2013 study, Institute for Health Metrics and Evaluation (IHME). Cells with no value are not stored. |
| Adjusted net savings, excluding particulate emission damage (% of GNI) | NY.ADJ.SVNX.GN.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Global Burden of Disease 2013 study, Institute for Health Metrics and Evaluation (IHME). Cells with no value are not stored. |
| Exports as a capacity to import (constant LCU) | NY.EXP.CAPM.KN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Global Burden of Disease 2013 study, Institute for Health Metrics and Evaluation (IHME). Cells with no value are not stored. |
| Inflation, GDP deflator (annual %) | NY.GDP.DEFL.KD.ZG | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Global Burden of Disease 2013 study, Institute for Health Metrics and Evaluation (IHME). Cells with no value are not stored. |
| GDP deflator (base year varies by country) | NY.GDP.DEFL.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Global Burden of Disease 2013 study, Institute for Health Metrics and Evaluation (IHME). Cells with no value are not stored. |
| Discrepancy in expenditure estimate of GDP (current LCU) | NY.GDP.DISC.CN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium, World Bank (WB); Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Global Burden of Disease 2013 study, Institute for Health Metrics and Evaluation (IHME). Cells with no value are not stored. |
World Development Indicators: Economy and growth (part 7 of 8)
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| GDP per capita (current US$) | NY.GDP.PCAP.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; World Economic Outlook database, International Monetary Fund (IMF); International Comparison Program (ICP), World Bank (WB). Cells with no value are not stored. |
| Discrepancy in expenditure estimate of GDP (constant LCU) | NY.GDP.DISC.KN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; World Economic Outlook database, International Monetary Fund (IMF); International Comparison Program (ICP), World Bank (WB). Cells with no value are not stored. |
| Gross value added at basic prices (GVA) (current US$) | NY.GDP.FCST.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; World Economic Outlook database, International Monetary Fund (IMF); International Comparison Program (ICP), World Bank (WB). Cells with no value are not stored. |
| Gross value added at basic prices (GVA) (current LCU) | NY.GDP.FCST.CN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; World Economic Outlook database, International Monetary Fund (IMF); International Comparison Program (ICP), World Bank (WB). Cells with no value are not stored. |
| Gross value added at basic prices (GVA) (constant 2015 US$) | NY.GDP.FCST.KD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; World Economic Outlook database, International Monetary Fund (IMF); International Comparison Program (ICP), World Bank (WB). Cells with no value are not stored. |
| Gross value added at basic prices (GVA) (constant LCU) | NY.GDP.FCST.KN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; World Economic Outlook database, International Monetary Fund (IMF); International Comparison Program (ICP), World Bank (WB). Cells with no value are not stored. |
| GDP (current LCU) | NY.GDP.MKTP.CN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; World Economic Outlook database, International Monetary Fund (IMF); International Comparison Program (ICP), World Bank (WB). Cells with no value are not stored. |
| GDP: linked series (current LCU) | NY.GDP.MKTP.CN.AD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; World Economic Outlook database, International Monetary Fund (IMF); International Comparison Program (ICP), World Bank (WB). Cells with no value are not stored. |
| GDP (constant 2015 US$) | NY.GDP.MKTP.KD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; World Economic Outlook database, International Monetary Fund (IMF); International Comparison Program (ICP), World Bank (WB). Cells with no value are not stored. |
| GDP growth (annual %) | NY.GDP.MKTP.KD.ZG | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; World Economic Outlook database, International Monetary Fund (IMF); International Comparison Program (ICP), World Bank (WB). Cells with no value are not stored. |
| GDP (constant LCU) | NY.GDP.MKTP.KN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; World Economic Outlook database, International Monetary Fund (IMF); International Comparison Program (ICP), World Bank (WB). Cells with no value are not stored. |
| GDP, PPP (current international $) | NY.GDP.MKTP.PP.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; World Economic Outlook database, International Monetary Fund (IMF); International Comparison Program (ICP), World Bank (WB). Cells with no value are not stored. |
| GDP, PPP (constant 2021 international $) | NY.GDP.MKTP.PP.KD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; World Economic Outlook database, International Monetary Fund (IMF); International Comparison Program (ICP), World Bank (WB). Cells with no value are not stored. |
| GDP per capita (current LCU) | NY.GDP.PCAP.CN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; World Economic Outlook database, International Monetary Fund (IMF); International Comparison Program (ICP), World Bank (WB). Cells with no value are not stored. |
| GDP per capita (constant 2015 US$) | NY.GDP.PCAP.KD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; World Economic Outlook database, International Monetary Fund (IMF); International Comparison Program (ICP), World Bank (WB). Cells with no value are not stored. |
| GDP per capita growth (annual %) | NY.GDP.PCAP.KD.ZG | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; World Economic Outlook database, International Monetary Fund (IMF); International Comparison Program (ICP), World Bank (WB). Cells with no value are not stored. |
| GDP per capita (constant LCU) | NY.GDP.PCAP.KN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; World Economic Outlook database, International Monetary Fund (IMF); International Comparison Program (ICP), World Bank (WB). Cells with no value are not stored. |
| GDP per capita, PPP (current international $) | NY.GDP.PCAP.PP.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; World Economic Outlook database, International Monetary Fund (IMF); International Comparison Program (ICP), World Bank (WB). Cells with no value are not stored. |
| Gross domestic savings (current US$) | NY.GDS.TOTL.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; World Economic Outlook database, International Monetary Fund (IMF); International Comparison Program (ICP), World Bank (WB). Cells with no value are not stored. |
| Gross domestic savings (current LCU) | NY.GDS.TOTL.CN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; World Economic Outlook database, International Monetary Fund (IMF); International Comparison Program (ICP), World Bank (WB). Cells with no value are not stored. |
| Gross domestic savings (% of GDP) | NY.GDS.TOTL.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; World Economic Outlook database, International Monetary Fund (IMF); International Comparison Program (ICP), World Bank (WB). Cells with no value are not stored. |
| Gross domestic income (constant LCU) | NY.GDY.TOTL.KN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; World Economic Outlook database, International Monetary Fund (IMF); International Comparison Program (ICP), World Bank (WB). Cells with no value are not stored. |
| GNI, Atlas method (current US$) | NY.GNP.ATLS.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; World Economic Outlook database, International Monetary Fund (IMF); International Comparison Program (ICP), World Bank (WB). Cells with no value are not stored. |
| GNI (current US$) | NY.GNP.MKTP.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; World Economic Outlook database, International Monetary Fund (IMF); International Comparison Program (ICP), World Bank (WB). Cells with no value are not stored. |
| GNI (current LCU) | NY.GNP.MKTP.CN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; World Economic Outlook database, International Monetary Fund (IMF); International Comparison Program (ICP), World Bank (WB). Cells with no value are not stored. |
| GNI: linked series (current LCU) | NY.GNP.MKTP.CN.AD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; World Economic Outlook database, International Monetary Fund (IMF); International Comparison Program (ICP), World Bank (WB). Cells with no value are not stored. |
| GNI (constant 2015 US$) | NY.GNP.MKTP.KD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; World Economic Outlook database, International Monetary Fund (IMF); International Comparison Program (ICP), World Bank (WB). Cells with no value are not stored. |
| GNI growth (annual %) | NY.GNP.MKTP.KD.ZG | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; World Economic Outlook database, International Monetary Fund (IMF); International Comparison Program (ICP), World Bank (WB). Cells with no value are not stored. |
| GNI (constant LCU) | NY.GNP.MKTP.KN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; World Economic Outlook database, International Monetary Fund (IMF); International Comparison Program (ICP), World Bank (WB). Cells with no value are not stored. |
| GNI, PPP (current international $) | NY.GNP.MKTP.PP.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Organizations and/or Central Banks; World Economic Outlook database, International Monetary Fund (IMF); International Comparison Program (ICP), World Bank (WB). Cells with no value are not stored. |
World Development Indicators: Economy and growth (part 8 of 8)
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| GNI, PPP (constant 2021 international $) | NY.GNP.MKTP.PP.KD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| GNI per capita, Atlas method (current US$) | NY.GNP.PCAP.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| GNI per capita (current LCU) | NY.GNP.PCAP.CN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| GNI per capita (constant 2015 US$) | NY.GNP.PCAP.KD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| GNI per capita growth (annual %) | NY.GNP.PCAP.KD.ZG | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| GNI per capita (constant LCU) | NY.GNP.PCAP.KN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| GNI per capita, PPP (current international $) | NY.GNP.PCAP.PP.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| GNI per capita, PPP (constant 2021 international $) | NY.GNP.PCAP.PP.KD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Gross savings (current US$) | NY.GNS.ICTR.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Gross savings (current LCU) | NY.GNS.ICTR.CN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Gross savings (% of GNI) | NY.GNS.ICTR.GN.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Gross savings (% of GDP) | NY.GNS.ICTR.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Net primary income (Net income from abroad) (current US$) | NY.GSR.NFCY.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Net primary income (Net income from abroad) (current LCU) | NY.GSR.NFCY.CN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Net primary income (Net income from abroad) (constant LCU) | NY.GSR.NFCY.KN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Taxes less subsidies on products (current US$) | NY.TAX.NIND.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Taxes less subsidies on products (current LCU) | NY.TAX.NIND.CN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Taxes less subsidies on products (constant LCU) | NY.TAX.NIND.KN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Net secondary income (Net current transfers from abroad) (current US$) | NY.TRF.NCTR.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Net secondary income (Net current transfers from abroad) (current LCU) | NY.TRF.NCTR.CN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Net secondary income (Net current transfers from abroad) (constant LCU) | NY.TRF.NCTR.KN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Terms of trade adjustment (constant LCU) | NY.TTF.GNFS.KN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| DEC alternative conversion factor (LCU per US$) | PA.NUS.ATLS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Price level index (GDP) | PA.NUS.GDP.PLI | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| PPP conversion factor, GDP (LCU per international $) | PA.NUS.PPP | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| Price level index (Households and NPISHs Final consumption expenditure) | PA.NUS.PRVT.PLI | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
| PPP conversion factor, households and NPISHs Final consumption expenditure (LCU per international $) | PA.NUS.PRVT.PP | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; Country official statistics, National Statistical Organizations and/or Central Banks. Cells with no value are not stored. |
World Development Indicators: Education (part 1 of 6)
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Human capital index plus (HCI+): education pillar score, female (scale 0–188) | HD_HCIP_EDUC_FE | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff calculations based on the Human Capital Project, World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); World Bank (WB); UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Human capital index plus (HCI+): education pillar score, male (scale 0–188) | HD_HCIP_EDUC_MA | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff calculations based on the Human Capital Project, World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); World Bank (WB); UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Human capital index plus (HCI+): education pillar score, total (scale 0–188) | HD_HCIP_EDUC_TO | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff calculations based on the Human Capital Project, World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); World Bank (WB); UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Human capital index plus (HCI+): on-the-job learning pillar score, female (scale -30–87) | HD_HCIP_OTJL_FE | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff calculations based on the Human Capital Project, World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); World Bank (WB); UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Human capital index plus (HCI+): on-the-job learning pillar score, male (scale -30–87) | HD_HCIP_OTJL_MA | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff calculations based on the Human Capital Project, World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); World Bank (WB); UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Human capital index plus (HCI+): on-the-job learning pillar score, total (scale -30–87) | HD_HCIP_OTJL_TO | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff calculations based on the Human Capital Project, World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); World Bank (WB); UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Human capital index plus (HCI+): overall score, female (scale 0–325) | HD_HCIP_OVRL_FE | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff calculations based on the Human Capital Project, World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); World Bank (WB); UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Human capital index plus (HCI+): overall score, male (scale 0–325) | HD_HCIP_OVRL_MA | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff calculations based on the Human Capital Project, World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); World Bank (WB); UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Human capital index plus (HCI+): overall score, total (scale 0–325) | HD_HCIP_OVRL_TO | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff calculations based on the Human Capital Project, World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); World Bank (WB); UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Literacy rate, youth female (% of females ages 15-24) | SE.ADT.1524.LT.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff calculations based on the Human Capital Project, World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); World Bank (WB); UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Literacy rate, youth (ages 15-24), gender parity index (GPI) | SE.ADT.1524.LT.FM.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff calculations based on the Human Capital Project, World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); World Bank (WB); UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Literacy rate, youth male (% of males ages 15-24) | SE.ADT.1524.LT.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff calculations based on the Human Capital Project, World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); World Bank (WB); UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Literacy rate, youth total (% of people ages 15-24) | SE.ADT.1524.LT.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff calculations based on the Human Capital Project, World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); World Bank (WB); UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Literacy rate, adult male (% of males ages 15 and above) | SE.ADT.LITR.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff calculations based on the Human Capital Project, World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); World Bank (WB); UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Literacy rate, adult total (% of people ages 15 and above) | SE.ADT.LITR.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff calculations based on the Human Capital Project, World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); World Bank (WB); UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Compulsory education, duration (years) | SE.COM.DURS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff calculations based on the Human Capital Project, World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); World Bank (WB); UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| School enrollment, primary (gross), gender parity index (GPI) | SE.ENR.PRIM.FM.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff calculations based on the Human Capital Project, World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); World Bank (WB); UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| School enrollment, secondary (gross), gender parity index (GPI) | SE.ENR.SECO.FM.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff calculations based on the Human Capital Project, World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); World Bank (WB); UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| School enrollment, tertiary (gross), gender parity index (GPI) | SE.ENR.TERT.FM.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff calculations based on the Human Capital Project, World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); World Bank (WB); UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Learning poverty: Share of Children at the End-of-Primary age below minimum reading proficiency adjusted by Out-of-School Children (%) | SE.LPV.PRIM | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff calculations based on the Human Capital Project, World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); World Bank (WB); UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Learning poverty: Share of Female Children at the End-of-Primary age below minimum reading proficiency adjusted by Out-of-School Children (%) | SE.LPV.PRIM.FE | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff calculations based on the Human Capital Project, World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); World Bank (WB); UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Pupils below minimum reading proficiency at end of primary (%). Low GAML threshold | SE.LPV.PRIM.LD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff calculations based on the Human Capital Project, World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); World Bank (WB); UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Female pupils below minimum reading proficiency at end of primary (%). Low GAML threshold | SE.LPV.PRIM.LD.FE | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff calculations based on the Human Capital Project, World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); World Bank (WB); UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Male pupils below minimum reading proficiency at end of primary (%). Low GAML threshold | SE.LPV.PRIM.LD.MA | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff calculations based on the Human Capital Project, World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); World Bank (WB); UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Learning poverty: Share of Male Children at the End-of-Primary age below minimum reading proficiency adjusted by Out-of-School Children (%) | SE.LPV.PRIM.MA | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff calculations based on the Human Capital Project, World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); World Bank (WB); UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Primary school age children out-of-school (%) | SE.LPV.PRIM.SD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff calculations based on the Human Capital Project, World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); World Bank (WB); UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Female primary school age children out-of-school (%) | SE.LPV.PRIM.SD.FE | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff calculations based on the Human Capital Project, World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); World Bank (WB); UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Male primary school age children out-of-school (%) | SE.LPV.PRIM.SD.MA | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff calculations based on the Human Capital Project, World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); World Bank (WB); UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Preprimary education, duration (years) | SE.PRE.DURS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff calculations based on the Human Capital Project, World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); World Bank (WB); UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Pupil-teacher ratio, preprimary | SE.PRE.ENRL.TC.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff calculations based on the Human Capital Project, World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); World Bank (WB); UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
World Development Indicators: Education (part 2 of 6)
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Net intake rate in grade 1, female (% of official school-age population) | SE.PRM.NINT.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); UNESCO Institute for Statistics (UIS), UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| School enrollment, preprimary (% gross) | SE.PRE.ENRR | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); UNESCO Institute for Statistics (UIS), UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| School enrollment, preprimary, female (% gross) | SE.PRE.ENRR.FE | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); UNESCO Institute for Statistics (UIS), UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| School enrollment, preprimary, male (% gross) | SE.PRE.ENRR.MA | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); UNESCO Institute for Statistics (UIS), UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Trained teachers in preprimary education, female (% of female teachers) | SE.PRE.TCAQ.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); UNESCO Institute for Statistics (UIS), UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Trained teachers in preprimary education, male (% of male teachers) | SE.PRE.TCAQ.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); UNESCO Institute for Statistics (UIS), UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Trained teachers in preprimary education (% of total teachers) | SE.PRE.TCAQ.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); UNESCO Institute for Statistics (UIS), UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Primary school starting age (years) | SE.PRM.AGES | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); UNESCO Institute for Statistics (UIS), UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Primary completion rate, female (% of relevant age group) | SE.PRM.CMPT.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); UNESCO Institute for Statistics (UIS), UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Primary completion rate, male (% of relevant age group) | SE.PRM.CMPT.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); UNESCO Institute for Statistics (UIS), UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Educational attainment, at least completed primary, population 25+ years, female (%) (cumulative) | SE.PRM.CUAT.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); UNESCO Institute for Statistics (UIS), UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Educational attainment, at least completed primary, population 25+ years, male (%) (cumulative) | SE.PRM.CUAT.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); UNESCO Institute for Statistics (UIS), UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Educational attainment, at least completed primary, population 25+ years, total (%) (cumulative) | SE.PRM.CUAT.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); UNESCO Institute for Statistics (UIS), UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Primary education, duration (years) | SE.PRM.DURS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); UNESCO Institute for Statistics (UIS), UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Primary education, pupils | SE.PRM.ENRL | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); UNESCO Institute for Statistics (UIS), UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Primary education, pupils (% female) | SE.PRM.ENRL.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); UNESCO Institute for Statistics (UIS), UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Pupil-teacher ratio, primary | SE.PRM.ENRL.TC.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); UNESCO Institute for Statistics (UIS), UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| School enrollment, primary (% gross) | SE.PRM.ENRR | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); UNESCO Institute for Statistics (UIS), UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| School enrollment, primary, female (% gross) | SE.PRM.ENRR.FE | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); UNESCO Institute for Statistics (UIS), UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| School enrollment, primary, male (% gross) | SE.PRM.ENRR.MA | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); UNESCO Institute for Statistics (UIS), UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Gross intake ratio in first grade of primary education, female (% of relevant age group) | SE.PRM.GINT.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); UNESCO Institute for Statistics (UIS), UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Gross intake ratio in first grade of primary education, male (% of relevant age group) | SE.PRM.GINT.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); UNESCO Institute for Statistics (UIS), UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Gross intake ratio in first grade of primary education, total (% of relevant age group) | SE.PRM.GINT.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); UNESCO Institute for Statistics (UIS), UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| School enrollment, primary (% net) | SE.PRM.NENR | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); UNESCO Institute for Statistics (UIS), UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| School enrollment, primary, female (% net) | SE.PRM.NENR.FE | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); UNESCO Institute for Statistics (UIS), UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| School enrollment, primary, male (% net) | SE.PRM.NENR.MA | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); UNESCO Institute for Statistics (UIS), UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Net intake rate in grade 1, male (% of official school-age population) | SE.PRM.NINT.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); UNESCO Institute for Statistics (UIS), UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Net intake rate in grade 1 (% of official school-age population) | SE.PRM.NINT.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); UNESCO Institute for Statistics (UIS), UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Over-age students, primary, female (% of female enrollment) | SE.PRM.OENR.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); UNESCO Institute for Statistics (UIS), UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Over-age students, primary, male (% of male enrollment) | SE.PRM.OENR.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); UNESCO Institute for Statistics (UIS), UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
World Development Indicators: Education (part 3 of 6)
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Over-age students, primary (% of enrollment) | SE.PRM.OENR.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| School enrollment, primary, private (% of total primary) | SE.PRM.PRIV.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Persistence to grade 5, female (% of cohort) | SE.PRM.PRS5.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Persistence to grade 5, male (% of cohort) | SE.PRM.PRS5.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Persistence to grade 5, total (% of cohort) | SE.PRM.PRS5.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Persistence to last grade of primary, female (% of cohort) | SE.PRM.PRSL.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Persistence to last grade of primary, male (% of cohort) | SE.PRM.PRSL.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Persistence to last grade of primary, total (% of cohort) | SE.PRM.PRSL.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Repeaters, primary, female (% of female enrollment) | SE.PRM.REPT.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Repeaters, primary, male (% of male enrollment) | SE.PRM.REPT.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Repeaters, primary, total (% of total enrollment) | SE.PRM.REPT.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Trained teachers in primary education, female (% of female teachers) | SE.PRM.TCAQ.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Trained teachers in primary education, male (% of male teachers) | SE.PRM.TCAQ.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Trained teachers in primary education (% of total teachers) | SE.PRM.TCAQ.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Primary education, teachers | SE.PRM.TCHR | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Primary education, teachers (% female) | SE.PRM.TCHR.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Adjusted net enrollment rate, primary (% of primary school age children) | SE.PRM.TENR | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Adjusted net enrollment rate, primary, female (% of primary school age children) | SE.PRM.TENR.FE | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Adjusted net enrollment rate, primary, male (% of primary school age children) | SE.PRM.TENR.MA | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Children out of school, primary | SE.PRM.UNER | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Children out of school, primary, female | SE.PRM.UNER.FE | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Children out of school, female (% of female primary school age) | SE.PRM.UNER.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Children out of school, primary, male | SE.PRM.UNER.MA | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Children out of school, male (% of male primary school age) | SE.PRM.UNER.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Children out of school (% of primary school age) | SE.PRM.UNER.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Lower secondary school starting age (years) | SE.SEC.AGES | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Lower secondary completion rate, female (% of relevant age group) | SE.SEC.CMPT.LO.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Lower secondary completion rate, male (% of relevant age group) | SE.SEC.CMPT.LO.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Lower secondary completion rate, total (% of relevant age group) | SE.SEC.CMPT.LO.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Educational attainment, at least completed lower secondary, population 25+, female (%) (cumulative) | SE.SEC.CUAT.LO.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
World Development Indicators: Education (part 4 of 6)
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Educational attainment, at least completed lower secondary, population 25+, male (%) (cumulative) | SE.SEC.CUAT.LO.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Educational attainment, at least completed lower secondary, population 25+, total (%) (cumulative) | SE.SEC.CUAT.LO.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Educational attainment, at least completed post-secondary, population 25+, female (%) (cumulative) | SE.SEC.CUAT.PO.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Educational attainment, at least completed post-secondary, population 25+, male (%) (cumulative) | SE.SEC.CUAT.PO.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Educational attainment, at least completed post-secondary, population 25+, total (%) (cumulative) | SE.SEC.CUAT.PO.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Educational attainment, at least completed upper secondary, population 25+, female (%) (cumulative) | SE.SEC.CUAT.UP.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Educational attainment, at least completed upper secondary, population 25+, male (%) (cumulative) | SE.SEC.CUAT.UP.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Educational attainment, at least completed upper secondary, population 25+, total (%) (cumulative) | SE.SEC.CUAT.UP.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Secondary education, duration (years) | SE.SEC.DURS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Secondary education, pupils | SE.SEC.ENRL | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Secondary education, pupils (% female) | SE.SEC.ENRL.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Secondary education, general pupils | SE.SEC.ENRL.GC | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Secondary education, general pupils (% female) | SE.SEC.ENRL.GC.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Pupil-teacher ratio, lower secondary | SE.SEC.ENRL.LO.TC.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Pupil-teacher ratio, secondary | SE.SEC.ENRL.TC.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Pupil-teacher ratio, upper secondary | SE.SEC.ENRL.UP.TC.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Secondary education, vocational pupils | SE.SEC.ENRL.VO | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Secondary education, vocational pupils (% female) | SE.SEC.ENRL.VO.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| School enrollment, secondary (% gross) | SE.SEC.ENRR | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| School enrollment, secondary, female (% gross) | SE.SEC.ENRR.FE | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| School enrollment, secondary, male (% gross) | SE.SEC.ENRR.MA | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| School enrollment, secondary (% net) | SE.SEC.NENR | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| School enrollment, secondary, female (% net) | SE.SEC.NENR.FE | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| School enrollment, secondary, male (% net) | SE.SEC.NENR.MA | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| School enrollment, secondary, private (% of total secondary) | SE.SEC.PRIV.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Progression to secondary school, female (%) | SE.SEC.PROG.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Progression to secondary school, male (%) | SE.SEC.PROG.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Progression to secondary school (%) | SE.SEC.PROG.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Trained teachers in secondary education, female (% of female teachers) | SE.SEC.TCAQ.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Trained teachers in lower secondary education, female (% of female teachers) | SE.SEC.TCAQ.LO.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
World Development Indicators: Education (part 5 of 6)
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Trained teachers in lower secondary education, male (% of male teachers) | SE.SEC.TCAQ.LO.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Trained teachers in lower secondary education (% of total teachers) | SE.SEC.TCAQ.LO.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Trained teachers in secondary education, male (% of male teachers) | SE.SEC.TCAQ.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Trained teachers in upper secondary education, female (% of female teachers) | SE.SEC.TCAQ.UP.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Trained teachers in upper secondary education, male (% of male teachers) | SE.SEC.TCAQ.UP.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Trained teachers in upper secondary education (% of total teachers) | SE.SEC.TCAQ.UP.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Trained teachers in secondary education (% of total teachers) | SE.SEC.TCAQ.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Secondary education, teachers | SE.SEC.TCHR | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Secondary education, teachers, female | SE.SEC.TCHR.FE | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Secondary education, teachers (% female) | SE.SEC.TCHR.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Adolescents out of school, female (% of female lower secondary school age) | SE.SEC.UNER.LO.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Adolescents out of school, male (% of male lower secondary school age) | SE.SEC.UNER.LO.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Adolescents out of school (% of lower secondary school age) | SE.SEC.UNER.LO.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Educational attainment, at least Bachelor's or equivalent, population 25+, female (%) (cumulative) | SE.TER.CUAT.BA.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Educational attainment, at least Bachelor's or equivalent, population 25+, male (%) (cumulative) | SE.TER.CUAT.BA.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Educational attainment, at least Bachelor's or equivalent, population 25+, total (%) (cumulative) | SE.TER.CUAT.BA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Educational attainment, Doctoral or equivalent, population 25+, female (%) (cumulative) | SE.TER.CUAT.DO.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Educational attainment, Doctoral or equivalent, population 25+, male (%) (cumulative) | SE.TER.CUAT.DO.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Educational attainment, Doctoral or equivalent, population 25+, total (%) (cumulative) | SE.TER.CUAT.DO.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Educational attainment, at least Master's or equivalent, population 25+, female (%) (cumulative) | SE.TER.CUAT.MS.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Educational attainment, at least Master's or equivalent, population 25+, male (%) (cumulative) | SE.TER.CUAT.MS.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Educational attainment, at least Master's or equivalent, population 25+, total (%) (cumulative) | SE.TER.CUAT.MS.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Educational attainment, at least completed short-cycle tertiary, population 25+, female (%) (cumulative) | SE.TER.CUAT.ST.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Educational attainment, at least completed short-cycle tertiary, population 25+, male (%) (cumulative) | SE.TER.CUAT.ST.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Educational attainment, at least completed short-cycle tertiary, population 25+, total (%) (cumulative) | SE.TER.CUAT.ST.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Pupil-teacher ratio, tertiary | SE.TER.ENRL.TC.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| School enrollment, tertiary (% gross) | SE.TER.ENRR | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| School enrollment, tertiary, female (% gross) | SE.TER.ENRR.FE | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| School enrollment, tertiary, male (% gross) | SE.TER.ENRR.MA | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Tertiary education, academic staff (% female) | SE.TER.TCHR.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
World Development Indicators: Education (part 6 of 6)
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Current education expenditure, primary (% of total expenditure in primary public institutions) | SE.XPD.CPRM.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Current education expenditure, secondary (% of total expenditure in secondary public institutions) | SE.XPD.CSEC.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Current education expenditure, tertiary (% of total expenditure in tertiary public institutions) | SE.XPD.CTER.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Current education expenditure, total (% of total expenditure in public institutions) | SE.XPD.CTOT.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Government expenditure per student, primary (% of GDP per capita) | SE.XPD.PRIM.PC.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Expenditure on primary education (% of government expenditure on education) | SE.XPD.PRIM.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Government expenditure per student, secondary (% of GDP per capita) | SE.XPD.SECO.PC.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Expenditure on secondary education (% of government expenditure on education) | SE.XPD.SECO.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Government expenditure per student, tertiary (% of GDP per capita) | SE.XPD.TERT.PC.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Expenditure on tertiary education (% of government expenditure on education) | SE.XPD.TERT.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Government expenditure on education, total (% of government expenditure) | SE.XPD.TOTL.GB.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Government expenditure on education, total (% of GDP) | SE.XPD.TOTL.GD.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Number of deaths ages 5-9 years | SH.DTH.0509 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Number of deaths ages 10-14 years | SH.DTH.1014 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Number of deaths ages 15-19 years | SH.DTH.1519 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Number of deaths ages 20-24 years | SH.DTH.2024 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Probability of dying among children ages 5-9 years (per 1,000) | SH.DYN.0509 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Probability of dying among adolescents ages 10-14 years (per 1,000) | SH.DYN.1014 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Probability of dying among adolescents ages 15-19 years (per 1,000) | SH.DYN.1519 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Probability of dying among youth ages 20-24 years (per 1,000) | SH.DYN.2024 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Labor force, female (% of total labor force) | SL.TLF.TOTL.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Labor force, total | SL.TLF.TOTL.IN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Unemployment, female (% of female labor force) (modeled ILO estimate) | SL.UEM.TOTL.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Unemployment, male (% of male labor force) (modeled ILO estimate) | SL.UEM.TOTL.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Unemployment, total (% of total labor force) (modeled ILO estimate) | SL.UEM.TOTL.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Population ages 0-14 (% of total population) | SP.POP.0014.TO.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
| Population ages 15-64 (% of total population) | SP.POP.1564.TO.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB); Data API, UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
World Development Indicators: Energy and mining
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Energy intensity level of primary energy (MJ/$2021 PPP GDP) | EG.EGY.PRIM.PP.KD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: IEA Energy Statistics Data Browser, International Energy Agency (IEA); Enterprise Surveys, World Bank (WB); SDG 7.1.1 Electrification Dataset, World Bank (WB); Comtrade database, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Access to electricity, urban (% of urban population) | EG.ELC.ACCS.UR.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: IEA Energy Statistics Data Browser, International Energy Agency (IEA); Enterprise Surveys, World Bank (WB); SDG 7.1.1 Electrification Dataset, World Bank (WB); Comtrade database, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Access to electricity (% of population) | EG.ELC.ACCS.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: IEA Energy Statistics Data Browser, International Energy Agency (IEA); Enterprise Surveys, World Bank (WB); SDG 7.1.1 Electrification Dataset, World Bank (WB); Comtrade database, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Electricity production from coal sources (% of total) | EG.ELC.COAL.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: IEA Energy Statistics Data Browser, International Energy Agency (IEA); Enterprise Surveys, World Bank (WB); SDG 7.1.1 Electrification Dataset, World Bank (WB); Comtrade database, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Electricity production from oil, gas and coal sources (% of total) | EG.ELC.FOSL.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: IEA Energy Statistics Data Browser, International Energy Agency (IEA); Enterprise Surveys, World Bank (WB); SDG 7.1.1 Electrification Dataset, World Bank (WB); Comtrade database, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Electricity production from hydroelectric sources (% of total) | EG.ELC.HYRO.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: IEA Energy Statistics Data Browser, International Energy Agency (IEA); Enterprise Surveys, World Bank (WB); SDG 7.1.1 Electrification Dataset, World Bank (WB); Comtrade database, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Electric power transmission and distribution losses (% of output) | EG.ELC.LOSS.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: IEA Energy Statistics Data Browser, International Energy Agency (IEA); Enterprise Surveys, World Bank (WB); SDG 7.1.1 Electrification Dataset, World Bank (WB); Comtrade database, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Electricity production from natural gas sources (% of total) | EG.ELC.NGAS.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: IEA Energy Statistics Data Browser, International Energy Agency (IEA); Enterprise Surveys, World Bank (WB); SDG 7.1.1 Electrification Dataset, World Bank (WB); Comtrade database, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Electricity production from nuclear sources (% of total) | EG.ELC.NUCL.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: IEA Energy Statistics Data Browser, International Energy Agency (IEA); Enterprise Surveys, World Bank (WB); SDG 7.1.1 Electrification Dataset, World Bank (WB); Comtrade database, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Electricity production from oil sources (% of total) | EG.ELC.PETR.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: IEA Energy Statistics Data Browser, International Energy Agency (IEA); Enterprise Surveys, World Bank (WB); SDG 7.1.1 Electrification Dataset, World Bank (WB); Comtrade database, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Renewable electricity output (% of total electricity output) | EG.ELC.RNEW.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: IEA Energy Statistics Data Browser, International Energy Agency (IEA); Enterprise Surveys, World Bank (WB); SDG 7.1.1 Electrification Dataset, World Bank (WB); Comtrade database, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Electricity production from renewable sources, excluding hydroelectric (kWh) | EG.ELC.RNWX.KH | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: IEA Energy Statistics Data Browser, International Energy Agency (IEA); Enterprise Surveys, World Bank (WB); SDG 7.1.1 Electrification Dataset, World Bank (WB); Comtrade database, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Electricity production from renewable sources, excluding hydroelectric (% of total) | EG.ELC.RNWX.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: IEA Energy Statistics Data Browser, International Energy Agency (IEA); Enterprise Surveys, World Bank (WB); SDG 7.1.1 Electrification Dataset, World Bank (WB); Comtrade database, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Renewable energy consumption (% of total final energy consumption) | EG.FEC.RNEW.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: IEA Energy Statistics Data Browser, International Energy Agency (IEA); Enterprise Surveys, World Bank (WB); SDG 7.1.1 Electrification Dataset, World Bank (WB); Comtrade database, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| GDP per unit of energy use (PPP $ per kg of oil equivalent) | EG.GDP.PUSE.KO.PP | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: IEA Energy Statistics Data Browser, International Energy Agency (IEA); Enterprise Surveys, World Bank (WB); SDG 7.1.1 Electrification Dataset, World Bank (WB); Comtrade database, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| GDP per unit of energy use (constant 2021 PPP $ per kg of oil equivalent) | EG.GDP.PUSE.KO.PP.KD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: IEA Energy Statistics Data Browser, International Energy Agency (IEA); Enterprise Surveys, World Bank (WB); SDG 7.1.1 Electrification Dataset, World Bank (WB); Comtrade database, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Energy imports, net (% of energy use) | EG.IMP.CONS.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: IEA Energy Statistics Data Browser, International Energy Agency (IEA); Enterprise Surveys, World Bank (WB); SDG 7.1.1 Electrification Dataset, World Bank (WB); Comtrade database, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Alternative and nuclear energy (% of total energy use) | EG.USE.COMM.CL.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: IEA Energy Statistics Data Browser, International Energy Agency (IEA); Enterprise Surveys, World Bank (WB); SDG 7.1.1 Electrification Dataset, World Bank (WB); Comtrade database, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Fossil fuel energy consumption (% of total) | EG.USE.COMM.FO.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: IEA Energy Statistics Data Browser, International Energy Agency (IEA); Enterprise Surveys, World Bank (WB); SDG 7.1.1 Electrification Dataset, World Bank (WB); Comtrade database, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Energy use (kg of oil equivalent) per $1,000 GDP (constant 2021 PPP) | EG.USE.COMM.GD.PP.KD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: IEA Energy Statistics Data Browser, International Energy Agency (IEA); Enterprise Surveys, World Bank (WB); SDG 7.1.1 Electrification Dataset, World Bank (WB); Comtrade database, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Combustible renewables and waste (% of total energy) | EG.USE.CRNW.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: IEA Energy Statistics Data Browser, International Energy Agency (IEA); Enterprise Surveys, World Bank (WB); SDG 7.1.1 Electrification Dataset, World Bank (WB); Comtrade database, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Electric power consumption (kWh per capita) | EG.USE.ELEC.KH.PC | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: IEA Energy Statistics Data Browser, International Energy Agency (IEA); Enterprise Surveys, World Bank (WB); SDG 7.1.1 Electrification Dataset, World Bank (WB); Comtrade database, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Energy use (kg of oil equivalent per capita) | EG.USE.PCAP.KG.OE | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: IEA Energy Statistics Data Browser, International Energy Agency (IEA); Enterprise Surveys, World Bank (WB); SDG 7.1.1 Electrification Dataset, World Bank (WB); Comtrade database, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Time to obtain an electrical connection (days) | IC.ELC.DURS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: IEA Energy Statistics Data Browser, International Energy Agency (IEA); Enterprise Surveys, World Bank (WB); SDG 7.1.1 Electrification Dataset, World Bank (WB); Comtrade database, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Firms using banks to finance investment (% of firms) | IC.FRM.BNKS.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: IEA Energy Statistics Data Browser, International Energy Agency (IEA); Enterprise Surveys, World Bank (WB); SDG 7.1.1 Electrification Dataset, World Bank (WB); Comtrade database, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Value lost due to electrical outages (% of sales for affected firms) | IC.FRM.OUTG.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: IEA Energy Statistics Data Browser, International Energy Agency (IEA); Enterprise Surveys, World Bank (WB); SDG 7.1.1 Electrification Dataset, World Bank (WB); Comtrade database, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Investment in energy with private participation (current US$) | IE.PPI.ENGY.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: IEA Energy Statistics Data Browser, International Energy Agency (IEA); Enterprise Surveys, World Bank (WB); SDG 7.1.1 Electrification Dataset, World Bank (WB); Comtrade database, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Fuel imports (% of merchandise imports) | TM.VAL.FUEL.ZS.UN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: IEA Energy Statistics Data Browser, International Energy Agency (IEA); Enterprise Surveys, World Bank (WB); SDG 7.1.1 Electrification Dataset, World Bank (WB); Comtrade database, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Fuel exports (% of merchandise exports) | TX.VAL.FUEL.ZS.UN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: IEA Energy Statistics Data Browser, International Energy Agency (IEA); Enterprise Surveys, World Bank (WB); SDG 7.1.1 Electrification Dataset, World Bank (WB); Comtrade database, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
World Development Indicators: Environment (part 1 of 2)
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Access to clean fuels and technologies for cooking, rural (% of rural population) | EG.CFT.ACCS.RU.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Carbon fluxes from land 2000–2020: bringing clarity on countries’ reporting; International Renewable Energy Agency (IRENA); United Nations (UN). Cells with no value are not stored. |
| Access to clean fuels and technologies for cooking, urban (% of urban population) | EG.CFT.ACCS.UR.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Carbon fluxes from land 2000–2020: bringing clarity on countries’ reporting; International Renewable Energy Agency (IRENA); United Nations (UN). Cells with no value are not stored. |
| Access to clean fuels and technologies for cooking (% of population) | EG.CFT.ACCS.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Carbon fluxes from land 2000–2020: bringing clarity on countries’ reporting; International Renewable Energy Agency (IRENA); United Nations (UN). Cells with no value are not stored. |
| PM2.5 pollution, population exposed to levels exceeding WHO Interim Target-1 value (% of total) | EN.ATM.PM25.MC.T1.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Carbon fluxes from land 2000–2020: bringing clarity on countries’ reporting; International Renewable Energy Agency (IRENA); United Nations (UN). Cells with no value are not stored. |
| PM2.5 pollution, population exposed to levels exceeding WHO Interim Target-2 value (% of total) | EN.ATM.PM25.MC.T2.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Carbon fluxes from land 2000–2020: bringing clarity on countries’ reporting; International Renewable Energy Agency (IRENA); United Nations (UN). Cells with no value are not stored. |
| PM2.5 pollution, population exposed to levels exceeding WHO Interim Target-3 value (% of total) | EN.ATM.PM25.MC.T3.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Carbon fluxes from land 2000–2020: bringing clarity on countries’ reporting; International Renewable Energy Agency (IRENA); United Nations (UN). Cells with no value are not stored. |
| Bird species, threatened | EN.BIR.THRD.NO | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Carbon fluxes from land 2000–2020: bringing clarity on countries’ reporting; International Renewable Energy Agency (IRENA); United Nations (UN). Cells with no value are not stored. |
| Fish species, threatened | EN.FSH.THRD.NO | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Carbon fluxes from land 2000–2020: bringing clarity on countries’ reporting; International Renewable Energy Agency (IRENA); United Nations (UN). Cells with no value are not stored. |
| Total greenhouse gas emissions including LULUCF (Mt CO2e) | EN.GHG.ALL.LU.MT.CE.AR5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Carbon fluxes from land 2000–2020: bringing clarity on countries’ reporting; International Renewable Energy Agency (IRENA); United Nations (UN). Cells with no value are not stored. |
| Total greenhouse gas emissions excluding LULUCF (Mt CO2e) | EN.GHG.ALL.MT.CE.AR5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Carbon fluxes from land 2000–2020: bringing clarity on countries’ reporting; International Renewable Energy Agency (IRENA); United Nations (UN). Cells with no value are not stored. |
| Total greenhouse gas emissions excluding LULUCF per capita (t CO2e/capita) | EN.GHG.ALL.PC.CE.AR5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Carbon fluxes from land 2000–2020: bringing clarity on countries’ reporting; International Renewable Energy Agency (IRENA); United Nations (UN). Cells with no value are not stored. |
| Methane (CH4) emissions from Agriculture (Mt CO2e) | EN.GHG.CH4.AG.MT.CE.AR5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Carbon fluxes from land 2000–2020: bringing clarity on countries’ reporting; International Renewable Energy Agency (IRENA); United Nations (UN). Cells with no value are not stored. |
| Methane (CH4) emissions from Building (Energy) (Mt CO2e) | EN.GHG.CH4.BU.MT.CE.AR5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Carbon fluxes from land 2000–2020: bringing clarity on countries’ reporting; International Renewable Energy Agency (IRENA); United Nations (UN). Cells with no value are not stored. |
| Methane (CH4) emissions from Fugitive Emissions (Energy) (Mt CO2e) | EN.GHG.CH4.FE.MT.CE.AR5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Carbon fluxes from land 2000–2020: bringing clarity on countries’ reporting; International Renewable Energy Agency (IRENA); United Nations (UN). Cells with no value are not stored. |
| Methane (CH4) emissions from Industrial Combustion (Energy) (Mt CO2e) | EN.GHG.CH4.IC.MT.CE.AR5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Carbon fluxes from land 2000–2020: bringing clarity on countries’ reporting; International Renewable Energy Agency (IRENA); United Nations (UN). Cells with no value are not stored. |
| Methane (CH4) emissions from Industrial Processes (Mt CO2e) | EN.GHG.CH4.IP.MT.CE.AR5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Carbon fluxes from land 2000–2020: bringing clarity on countries’ reporting; International Renewable Energy Agency (IRENA); United Nations (UN). Cells with no value are not stored. |
| Methane (CH4) emissions (total) excluding LULUCF (Mt CO2e) | EN.GHG.CH4.MT.CE.AR5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Carbon fluxes from land 2000–2020: bringing clarity on countries’ reporting; International Renewable Energy Agency (IRENA); United Nations (UN). Cells with no value are not stored. |
| Methane (CH4) emissions from Power Industry (Energy) (Mt CO2e) | EN.GHG.CH4.PI.MT.CE.AR5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Carbon fluxes from land 2000–2020: bringing clarity on countries’ reporting; International Renewable Energy Agency (IRENA); United Nations (UN). Cells with no value are not stored. |
| Methane (CH4) emissions from Transport (Energy) (Mt CO2e) | EN.GHG.CH4.TR.MT.CE.AR5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Carbon fluxes from land 2000–2020: bringing clarity on countries’ reporting; International Renewable Energy Agency (IRENA); United Nations (UN). Cells with no value are not stored. |
| Methane (CH4) emissions from Waste (Mt CO2e) | EN.GHG.CH4.WA.MT.CE.AR5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Carbon fluxes from land 2000–2020: bringing clarity on countries’ reporting; International Renewable Energy Agency (IRENA); United Nations (UN). Cells with no value are not stored. |
| Methane (CH4) emissions (total) excluding LULUCF (% change from 1990) | EN.GHG.CH4.ZG.AR5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Carbon fluxes from land 2000–2020: bringing clarity on countries’ reporting; International Renewable Energy Agency (IRENA); United Nations (UN). Cells with no value are not stored. |
| Carbon dioxide (CO2) emissions from Agriculture (Mt CO2e) | EN.GHG.CO2.AG.MT.CE.AR5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Carbon fluxes from land 2000–2020: bringing clarity on countries’ reporting; International Renewable Energy Agency (IRENA); United Nations (UN). Cells with no value are not stored. |
| Carbon dioxide (CO2) emissions from Building (Energy) (Mt CO2e) | EN.GHG.CO2.BU.MT.CE.AR5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Carbon fluxes from land 2000–2020: bringing clarity on countries’ reporting; International Renewable Energy Agency (IRENA); United Nations (UN). Cells with no value are not stored. |
| Carbon dioxide (CO2) emissions from Fugitive Emissions (Energy) (Mt CO2e) | EN.GHG.CO2.FE.MT.CE.AR5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Carbon fluxes from land 2000–2020: bringing clarity on countries’ reporting; International Renewable Energy Agency (IRENA); United Nations (UN). Cells with no value are not stored. |
| Carbon dioxide (CO2) emissions from Industrial Combustion (Energy) (Mt CO2e) | EN.GHG.CO2.IC.MT.CE.AR5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Carbon fluxes from land 2000–2020: bringing clarity on countries’ reporting; International Renewable Energy Agency (IRENA); United Nations (UN). Cells with no value are not stored. |
| Carbon dioxide (CO2) emissions from Industrial Processes (Mt CO2e) | EN.GHG.CO2.IP.MT.CE.AR5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Carbon fluxes from land 2000–2020: bringing clarity on countries’ reporting; International Renewable Energy Agency (IRENA); United Nations (UN). Cells with no value are not stored. |
| Carbon dioxide (CO2) net fluxes from LULUCF - Deforestation (Mt CO2e) | EN.GHG.CO2.LU.DF.MT.CE.AR5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Carbon fluxes from land 2000–2020: bringing clarity on countries’ reporting; International Renewable Energy Agency (IRENA); United Nations (UN). Cells with no value are not stored. |
| Carbon dioxide (CO2) net fluxes from LULUCF - Forest Land (Mt CO2e) | EN.GHG.CO2.LU.FL.MT.CE.AR5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Carbon fluxes from land 2000–2020: bringing clarity on countries’ reporting; International Renewable Energy Agency (IRENA); United Nations (UN). Cells with no value are not stored. |
| Carbon dioxide (CO2) net fluxes from LULUCF - Total excluding non-tropical fires (Mt CO2e) | EN.GHG.CO2.LU.MT.CE.AR5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Carbon fluxes from land 2000–2020: bringing clarity on countries’ reporting; International Renewable Energy Agency (IRENA); United Nations (UN). Cells with no value are not stored. |
| Carbon dioxide (CO2) net fluxes from LULUCF - Other Land (Mt CO2e) | EN.GHG.CO2.LU.OL.MT.CE.AR5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Carbon fluxes from land 2000–2020: bringing clarity on countries’ reporting; International Renewable Energy Agency (IRENA); United Nations (UN). Cells with no value are not stored. |
World Development Indicators: Environment (part 2 of 2)
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Carbon dioxide (CO2) net fluxes from LULUCF - Organic Soil (Mt CO2e) | EN.GHG.CO2.LU.OS.MT.CE.AR5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Food and Agriculture Organization., Food and Agriculture Organization of the United Nations (FAO); The IUCN Red List of Threatened Species, UN Environment Programme World Conservation Monitoring Centre (UNEP-WCMC); International Union for Conservation of Nature (IUCN). Cells with no value are not stored. |
| Carbon dioxide (CO2) emissions (total) excluding LULUCF (Mt CO2e) | EN.GHG.CO2.MT.CE.AR5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Food and Agriculture Organization., Food and Agriculture Organization of the United Nations (FAO); The IUCN Red List of Threatened Species, UN Environment Programme World Conservation Monitoring Centre (UNEP-WCMC); International Union for Conservation of Nature (IUCN). Cells with no value are not stored. |
| Carbon dioxide (CO2) emissions excluding LULUCF per capita (t CO2e/capita) | EN.GHG.CO2.PC.CE.AR5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Food and Agriculture Organization., Food and Agriculture Organization of the United Nations (FAO); The IUCN Red List of Threatened Species, UN Environment Programme World Conservation Monitoring Centre (UNEP-WCMC); International Union for Conservation of Nature (IUCN). Cells with no value are not stored. |
| Carbon dioxide (CO2) emissions from Power Industry (Energy) (Mt CO2e) | EN.GHG.CO2.PI.MT.CE.AR5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Food and Agriculture Organization., Food and Agriculture Organization of the United Nations (FAO); The IUCN Red List of Threatened Species, UN Environment Programme World Conservation Monitoring Centre (UNEP-WCMC); International Union for Conservation of Nature (IUCN). Cells with no value are not stored. |
| Carbon intensity of GDP (kg CO2e per constant 2015 US$ of GDP) | EN.GHG.CO2.RT.GDP.KD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Food and Agriculture Organization., Food and Agriculture Organization of the United Nations (FAO); The IUCN Red List of Threatened Species, UN Environment Programme World Conservation Monitoring Centre (UNEP-WCMC); International Union for Conservation of Nature (IUCN). Cells with no value are not stored. |
| Carbon intensity of GDP (kg CO2e per 2021 PPP $ of GDP) | EN.GHG.CO2.RT.GDP.PP.KD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Food and Agriculture Organization., Food and Agriculture Organization of the United Nations (FAO); The IUCN Red List of Threatened Species, UN Environment Programme World Conservation Monitoring Centre (UNEP-WCMC); International Union for Conservation of Nature (IUCN). Cells with no value are not stored. |
| Carbon dioxide (CO2) emissions from Transport (Energy) (Mt CO2e) | EN.GHG.CO2.TR.MT.CE.AR5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Food and Agriculture Organization., Food and Agriculture Organization of the United Nations (FAO); The IUCN Red List of Threatened Species, UN Environment Programme World Conservation Monitoring Centre (UNEP-WCMC); International Union for Conservation of Nature (IUCN). Cells with no value are not stored. |
| Carbon dioxide (CO2) emissions from Waste (Mt CO2e) | EN.GHG.CO2.WA.MT.CE.AR5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Food and Agriculture Organization., Food and Agriculture Organization of the United Nations (FAO); The IUCN Red List of Threatened Species, UN Environment Programme World Conservation Monitoring Centre (UNEP-WCMC); International Union for Conservation of Nature (IUCN). Cells with no value are not stored. |
| Carbon dioxide (CO2) emissions (total) excluding LULUCF (% change from 1990) | EN.GHG.CO2.ZG.AR5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Food and Agriculture Organization., Food and Agriculture Organization of the United Nations (FAO); The IUCN Red List of Threatened Species, UN Environment Programme World Conservation Monitoring Centre (UNEP-WCMC); International Union for Conservation of Nature (IUCN). Cells with no value are not stored. |
| F-gases emissions from Industrial Processes (Mt CO2e) | EN.GHG.FGAS.IP.MT.CE.AR5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Food and Agriculture Organization., Food and Agriculture Organization of the United Nations (FAO); The IUCN Red List of Threatened Species, UN Environment Programme World Conservation Monitoring Centre (UNEP-WCMC); International Union for Conservation of Nature (IUCN). Cells with no value are not stored. |
| Nitrous oxide (N2O) emissions from Agriculture (Mt CO2e) | EN.GHG.N2O.AG.MT.CE.AR5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Food and Agriculture Organization., Food and Agriculture Organization of the United Nations (FAO); The IUCN Red List of Threatened Species, UN Environment Programme World Conservation Monitoring Centre (UNEP-WCMC); International Union for Conservation of Nature (IUCN). Cells with no value are not stored. |
| Nitrous oxide (N2O) emissions from Building (Energy) (Mt CO2e) | EN.GHG.N2O.BU.MT.CE.AR5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Food and Agriculture Organization., Food and Agriculture Organization of the United Nations (FAO); The IUCN Red List of Threatened Species, UN Environment Programme World Conservation Monitoring Centre (UNEP-WCMC); International Union for Conservation of Nature (IUCN). Cells with no value are not stored. |
| Nitrous oxide (N2O) emissions from Fugitive Emissions (Energy) (Mt CO2e) | EN.GHG.N2O.FE.MT.CE.AR5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Food and Agriculture Organization., Food and Agriculture Organization of the United Nations (FAO); The IUCN Red List of Threatened Species, UN Environment Programme World Conservation Monitoring Centre (UNEP-WCMC); International Union for Conservation of Nature (IUCN). Cells with no value are not stored. |
| Nitrous oxide (N2O) emissions from Industrial Combustion (Energy) (Mt CO2e) | EN.GHG.N2O.IC.MT.CE.AR5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Food and Agriculture Organization., Food and Agriculture Organization of the United Nations (FAO); The IUCN Red List of Threatened Species, UN Environment Programme World Conservation Monitoring Centre (UNEP-WCMC); International Union for Conservation of Nature (IUCN). Cells with no value are not stored. |
| Nitrous oxide (N2O) emissions from Industrial Processes (Mt CO2e) | EN.GHG.N2O.IP.MT.CE.AR5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Food and Agriculture Organization., Food and Agriculture Organization of the United Nations (FAO); The IUCN Red List of Threatened Species, UN Environment Programme World Conservation Monitoring Centre (UNEP-WCMC); International Union for Conservation of Nature (IUCN). Cells with no value are not stored. |
| Nitrous oxide (N2O) emissions (total) excluding LULUCF (Mt CO2e) | EN.GHG.N2O.MT.CE.AR5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Food and Agriculture Organization., Food and Agriculture Organization of the United Nations (FAO); The IUCN Red List of Threatened Species, UN Environment Programme World Conservation Monitoring Centre (UNEP-WCMC); International Union for Conservation of Nature (IUCN). Cells with no value are not stored. |
| Nitrous oxide (N2O) emissions from Power Industry (Energy) (Mt CO2e) | EN.GHG.N2O.PI.MT.CE.AR5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Food and Agriculture Organization., Food and Agriculture Organization of the United Nations (FAO); The IUCN Red List of Threatened Species, UN Environment Programme World Conservation Monitoring Centre (UNEP-WCMC); International Union for Conservation of Nature (IUCN). Cells with no value are not stored. |
| Nitrous oxide (N2O) emissions from Transport (Energy) (Mt CO2e) | EN.GHG.N2O.TR.MT.CE.AR5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Food and Agriculture Organization., Food and Agriculture Organization of the United Nations (FAO); The IUCN Red List of Threatened Species, UN Environment Programme World Conservation Monitoring Centre (UNEP-WCMC); International Union for Conservation of Nature (IUCN). Cells with no value are not stored. |
| Nitrous oxide (N2O) emissions from Waste (Mt CO2e) | EN.GHG.N2O.WA.MT.CE.AR5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Food and Agriculture Organization., Food and Agriculture Organization of the United Nations (FAO); The IUCN Red List of Threatened Species, UN Environment Programme World Conservation Monitoring Centre (UNEP-WCMC); International Union for Conservation of Nature (IUCN). Cells with no value are not stored. |
| Nitrous oxide (N2O) emissions (total) excluding LULUCF (% change from 1990) | EN.GHG.N2O.ZG.AR5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Food and Agriculture Organization., Food and Agriculture Organization of the United Nations (FAO); The IUCN Red List of Threatened Species, UN Environment Programme World Conservation Monitoring Centre (UNEP-WCMC); International Union for Conservation of Nature (IUCN). Cells with no value are not stored. |
| Total greenhouse gas emissions excluding LULUCF (% change from 1990) | EN.GHG.TOT.ZG.AR5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Food and Agriculture Organization., Food and Agriculture Organization of the United Nations (FAO); The IUCN Red List of Threatened Species, UN Environment Programme World Conservation Monitoring Centre (UNEP-WCMC); International Union for Conservation of Nature (IUCN). Cells with no value are not stored. |
| Plant species (higher), threatened | EN.HPT.THRD.NO | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Food and Agriculture Organization., Food and Agriculture Organization of the United Nations (FAO); The IUCN Red List of Threatened Species, UN Environment Programme World Conservation Monitoring Centre (UNEP-WCMC); International Union for Conservation of Nature (IUCN). Cells with no value are not stored. |
| Mammal species, threatened | EN.MAM.THRD.NO | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Food and Agriculture Organization., Food and Agriculture Organization of the United Nations (FAO); The IUCN Red List of Threatened Species, UN Environment Programme World Conservation Monitoring Centre (UNEP-WCMC); International Union for Conservation of Nature (IUCN). Cells with no value are not stored. |
| Aquaculture production (metric tons) | ER.FSH.AQUA.MT | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Food and Agriculture Organization., Food and Agriculture Organization of the United Nations (FAO); The IUCN Red List of Threatened Species, UN Environment Programme World Conservation Monitoring Centre (UNEP-WCMC); International Union for Conservation of Nature (IUCN). Cells with no value are not stored. |
| Capture fisheries production (metric tons) | ER.FSH.CAPT.MT | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Food and Agriculture Organization., Food and Agriculture Organization of the United Nations (FAO); The IUCN Red List of Threatened Species, UN Environment Programme World Conservation Monitoring Centre (UNEP-WCMC); International Union for Conservation of Nature (IUCN). Cells with no value are not stored. |
| Total fisheries production (metric tons) | ER.FSH.PROD.MT | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Food and Agriculture Organization., Food and Agriculture Organization of the United Nations (FAO); The IUCN Red List of Threatened Species, UN Environment Programme World Conservation Monitoring Centre (UNEP-WCMC); International Union for Conservation of Nature (IUCN). Cells with no value are not stored. |
| Water productivity, total (constant 2015 US$ GDP per cubic meter of total freshwater withdrawal) | ER.GDP.FWTL.M3.KD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Food and Agriculture Organization., Food and Agriculture Organization of the United Nations (FAO); The IUCN Red List of Threatened Species, UN Environment Programme World Conservation Monitoring Centre (UNEP-WCMC); International Union for Conservation of Nature (IUCN). Cells with no value are not stored. |
| Level of water stress: freshwater withdrawal as a proportion of available freshwater resources | ER.H2O.FWST.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission; International Energy Agency (IEA); Food and Agriculture Organization., Food and Agriculture Organization of the United Nations (FAO); The IUCN Red List of Threatened Species, UN Environment Programme World Conservation Monitoring Centre (UNEP-WCMC); International Union for Conservation of Nature (IUCN). Cells with no value are not stored. |
World Development Indicators: External debt (part 1 of 2)
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Use of IMF credit (DOD, current US$) | DT.DOD.DIMF.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Debt Statistics, World Bank (WB); Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| External debt stocks, long-term (DOD, current US$) | DT.DOD.DLXF.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Debt Statistics, World Bank (WB); Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| External debt stocks, private nonguaranteed (PNG) (DOD, current US$) | DT.DOD.DPNG.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Debt Statistics, World Bank (WB); Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Short-term debt (% of total external debt) | DT.DOD.DSTC.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Debt Statistics, World Bank (WB); Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| PPG, IBRD (DOD, current US$) | DT.DOD.MIBR.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Debt Statistics, World Bank (WB); Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| PPG, IDA (DOD, current US$) | DT.DOD.MIDA.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Debt Statistics, World Bank (WB); Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| IBRD loans and IDA credits (DOD, current US$) | DT.DOD.MWBG.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Debt Statistics, World Bank (WB); Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net financial flows, bilateral (NFL, current US$) | DT.NFL.BLAT.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Debt Statistics, World Bank (WB); Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net official flows from UN agencies, CERF (current US$) | DT.NFL.CERF.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Debt Statistics, World Bank (WB); Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net flows on external debt, private nonguaranteed (PNG) (NFL, current US$) | DT.NFL.DPNG.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Debt Statistics, World Bank (WB); Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net financial flows, IMF concessional (NFL, current US$) | DT.NFL.IMFC.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Debt Statistics, World Bank (WB); Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net financial flows, IMF nonconcessional (NFL, current US$) | DT.NFL.IMFN.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Debt Statistics, World Bank (WB); Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net financial flows, IBRD (NFL, current US$) | DT.NFL.MIBR.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Debt Statistics, World Bank (WB); Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net financial flows, IDA (NFL, current US$) | DT.NFL.MIDA.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Debt Statistics, World Bank (WB); Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net financial flows, multilateral (NFL, current US$) | DT.NFL.MLAT.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Debt Statistics, World Bank (WB); Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net financial flows, others (NFL, current US$) | DT.NFL.MOTH.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Debt Statistics, World Bank (WB); Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| IFC, private nonguaranteed (NFL, US$) | DT.NFL.NIFC.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Debt Statistics, World Bank (WB); Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| PPG, official creditors (NFL, US$) | DT.NFL.OFFT.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Debt Statistics, World Bank (WB); Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| PPG, bonds (NFL, current US$) | DT.NFL.PBND.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Debt Statistics, World Bank (WB); Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| PPG, commercial banks (NFL, current US$) | DT.NFL.PCBK.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Debt Statistics, World Bank (WB); Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Commercial banks and other lending (PPG + PNG) (NFL, current US$) | DT.NFL.PCBO.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Debt Statistics, World Bank (WB); Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| PNG, bonds (NFL, current US$) | DT.NFL.PNGB.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Debt Statistics, World Bank (WB); Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| PNG, commercial banks and other creditors (NFL, current US$) | DT.NFL.PNGC.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Debt Statistics, World Bank (WB); Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| PPG, other private creditors (NFL, current US$) | DT.NFL.PROP.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Debt Statistics, World Bank (WB); Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| PPG, private creditors (NFL, US$) | DT.NFL.PRVT.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Debt Statistics, World Bank (WB); Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net financial flows, RDB concessional (NFL, current US$) | DT.NFL.RDBC.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Debt Statistics, World Bank (WB); Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net financial flows, RDB nonconcessional (NFL, current US$) | DT.NFL.RDBN.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Debt Statistics, World Bank (WB); Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net official flows from UN agencies, SDGFUND (current US$) | DT.NFL.SDGF.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Debt Statistics, World Bank (WB); Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net official flows from UN agencies, SPRP (current US$) | DT.NFL.SPRP.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Debt Statistics, World Bank (WB); Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net official flows from UN agencies, UNCDF (current US$) | DT.NFL.UNCD.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Debt Statistics, World Bank (WB); Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
World Development Indicators: External debt (part 2 of 2)
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Net official flows from UN agencies, UNCTAD (current US$) | DT.NFL.UNCTAD.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Debt Statistics, World Bank (WB); Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net official flows from UN agencies, UNCOVID (current US$) | DT.NFL.UNCV.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Debt Statistics, World Bank (WB); Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net official flows from UN agencies, UNIDO (current US$) | DT.NFL.UNIDO.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Debt Statistics, World Bank (WB); Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net official flows from UN agencies, UNWOMEN (current US$) | DT.NFL.UNWN.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Debt Statistics, World Bank (WB); Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net official flows from UN agencies, WTO-ITC (current US$) | DT.NFL.WITC.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Debt Statistics, World Bank (WB); Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Debt service on external debt, total (TDS, current US$) | DT.TDS.DECT.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Debt Statistics, World Bank (WB); Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| IMF repurchases and charges (TDS, current US$) | DT.TDS.DIMF.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Debt Statistics, World Bank (WB); Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Debt service (PPG and IMF only, % of exports of goods, services and primary income) | DT.TDS.DPPF.XP.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Debt Statistics, World Bank (WB); Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Debt service on external debt, public and publicly guaranteed (PPG) (TDS, current US$) | DT.TDS.DPPG.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Debt Statistics, World Bank (WB); Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Public and publicly guaranteed debt service (% of GNI) | DT.TDS.DPPG.GN.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Debt Statistics, World Bank (WB); Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Public and publicly guaranteed debt service (% of exports of goods, services and primary income) | DT.TDS.DPPG.XP.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Debt Statistics, World Bank (WB); Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Multilateral debt service (TDS, current US$) | DT.TDS.MLAT.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Debt Statistics, World Bank (WB); Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Multilateral debt service (% of public and publicly guaranteed debt service) | DT.TDS.MLAT.PG.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Debt Statistics, World Bank (WB); Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
World Development Indicators: Financial sector (part 1 of 3)
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| S&P Global Equity Indices (annual % change) | CM.MKT.INDX.ZG | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); World Federation of Exchanges database, World Federation of Exchanges (WFE); Financial Access Survey, International Monetary Fund (IMF); World Development Indicators Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Market capitalization of listed domestic companies (current US$) | CM.MKT.LCAP.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); World Federation of Exchanges database, World Federation of Exchanges (WFE); Financial Access Survey, International Monetary Fund (IMF); World Development Indicators Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Market capitalization of listed domestic companies (% of GDP) | CM.MKT.LCAP.GD.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); World Federation of Exchanges database, World Federation of Exchanges (WFE); Financial Access Survey, International Monetary Fund (IMF); World Development Indicators Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Listed domestic companies, total | CM.MKT.LDOM.NO | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); World Federation of Exchanges database, World Federation of Exchanges (WFE); Financial Access Survey, International Monetary Fund (IMF); World Development Indicators Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Stocks traded, total value (current US$) | CM.MKT.TRAD.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); World Federation of Exchanges database, World Federation of Exchanges (WFE); Financial Access Survey, International Monetary Fund (IMF); World Development Indicators Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Stocks traded, total value (% of GDP) | CM.MKT.TRAD.GD.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); World Federation of Exchanges database, World Federation of Exchanges (WFE); Financial Access Survey, International Monetary Fund (IMF); World Development Indicators Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Stocks traded, turnover ratio of domestic shares (%) | CM.MKT.TRNR | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); World Federation of Exchanges database, World Federation of Exchanges (WFE); Financial Access Survey, International Monetary Fund (IMF); World Development Indicators Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Portfolio investment, bonds (PPG + PNG) (NFL, current US$) | DT.NFL.BOND.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); World Federation of Exchanges database, World Federation of Exchanges (WFE); Financial Access Survey, International Monetary Fund (IMF); World Development Indicators Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Bank nonperforming loans to total gross loans (%) | FB.AST.NPER.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); World Federation of Exchanges database, World Federation of Exchanges (WFE); Financial Access Survey, International Monetary Fund (IMF); World Development Indicators Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Automated teller machines (ATMs) (per 100,000 adults) | FB.ATM.TOTL.P5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); World Federation of Exchanges database, World Federation of Exchanges (WFE); Financial Access Survey, International Monetary Fund (IMF); World Development Indicators Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Bank capital to assets ratio (%) | FB.BNK.CAPA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); World Federation of Exchanges database, World Federation of Exchanges (WFE); Financial Access Survey, International Monetary Fund (IMF); World Development Indicators Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Commercial bank branches (per 100,000 adults) | FB.CBK.BRCH.P5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); World Federation of Exchanges database, World Federation of Exchanges (WFE); Financial Access Survey, International Monetary Fund (IMF); World Development Indicators Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Borrowers from commercial banks (per 1,000 adults) | FB.CBK.BRWR.P3 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); World Federation of Exchanges database, World Federation of Exchanges (WFE); Financial Access Survey, International Monetary Fund (IMF); World Development Indicators Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Depositors with commercial banks (per 1,000 adults) | FB.CBK.DPTR.P3 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); World Federation of Exchanges database, World Federation of Exchanges (WFE); Financial Access Survey, International Monetary Fund (IMF); World Development Indicators Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Domestic credit to private sector by banks (% of GDP) | FD.AST.PRVT.GD.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); World Federation of Exchanges database, World Federation of Exchanges (WFE); Financial Access Survey, International Monetary Fund (IMF); World Development Indicators Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Bank liquid reserves to bank assets ratio (%) | FD.RES.LIQU.AS.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); World Federation of Exchanges database, World Federation of Exchanges (WFE); Financial Access Survey, International Monetary Fund (IMF); World Development Indicators Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Total reserves (% of total external debt) | FI.RES.TOTL.DT.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); World Federation of Exchanges database, World Federation of Exchanges (WFE); Financial Access Survey, International Monetary Fund (IMF); World Development Indicators Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Total reserves in months of imports | FI.RES.TOTL.MO | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); World Federation of Exchanges database, World Federation of Exchanges (WFE); Financial Access Survey, International Monetary Fund (IMF); World Development Indicators Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Claims on central government (annual growth as % of broad money) | FM.AST.CGOV.ZG.M3 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); World Federation of Exchanges database, World Federation of Exchanges (WFE); Financial Access Survey, International Monetary Fund (IMF); World Development Indicators Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Claims on other sectors of the domestic economy (annual growth as % of broad money) | FM.AST.DOMO.ZG.M3 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); World Federation of Exchanges database, World Federation of Exchanges (WFE); Financial Access Survey, International Monetary Fund (IMF); World Development Indicators Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net domestic credit (current LCU) | FM.AST.DOMS.CN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); World Federation of Exchanges database, World Federation of Exchanges (WFE); Financial Access Survey, International Monetary Fund (IMF); World Development Indicators Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net foreign assets (current LCU) | FM.AST.NFRG.CN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); World Federation of Exchanges database, World Federation of Exchanges (WFE); Financial Access Survey, International Monetary Fund (IMF); World Development Indicators Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Monetary Sector credit to private sector (% GDP) | FM.AST.PRVT.GD.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); World Federation of Exchanges database, World Federation of Exchanges (WFE); Financial Access Survey, International Monetary Fund (IMF); World Development Indicators Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Claims on private sector (annual growth as % of broad money) | FM.AST.PRVT.ZG.M3 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); World Federation of Exchanges database, World Federation of Exchanges (WFE); Financial Access Survey, International Monetary Fund (IMF); World Development Indicators Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Broad money (current LCU) | FM.LBL.BMNY.CN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); World Federation of Exchanges database, World Federation of Exchanges (WFE); Financial Access Survey, International Monetary Fund (IMF); World Development Indicators Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Broad money (% of GDP) | FM.LBL.BMNY.GD.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); World Federation of Exchanges database, World Federation of Exchanges (WFE); Financial Access Survey, International Monetary Fund (IMF); World Development Indicators Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Broad money to total reserves ratio | FM.LBL.BMNY.IR.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); World Federation of Exchanges database, World Federation of Exchanges (WFE); Financial Access Survey, International Monetary Fund (IMF); World Development Indicators Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Broad money growth (annual %) | FM.LBL.BMNY.ZG | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); World Federation of Exchanges database, World Federation of Exchanges (WFE); Financial Access Survey, International Monetary Fund (IMF); World Development Indicators Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Consumer price index (2010 = 100) | FP.CPI.TOTL | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); World Federation of Exchanges database, World Federation of Exchanges (WFE); Financial Access Survey, International Monetary Fund (IMF); World Development Indicators Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Wholesale price index (2010 = 100) | FP.WPI.TOTL | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); World Federation of Exchanges database, World Federation of Exchanges (WFE); Financial Access Survey, International Monetary Fund (IMF); World Development Indicators Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
World Development Indicators: Financial sector (part 2 of 3)
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Deposit interest rate (%) | FR.INR.DPST | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); Global Findex Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Refugee Population Statistics Database, UN High Commissioner for Refugees (UNHCR); World Development Indicators Database, World Bank (WB). Cells with no value are not stored. |
| Lending interest rate (%) | FR.INR.LEND | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); Global Findex Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Refugee Population Statistics Database, UN High Commissioner for Refugees (UNHCR); World Development Indicators Database, World Bank (WB). Cells with no value are not stored. |
| Interest rate spread (lending rate minus deposit rate, %) | FR.INR.LNDP | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); Global Findex Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Refugee Population Statistics Database, UN High Commissioner for Refugees (UNHCR); World Development Indicators Database, World Bank (WB). Cells with no value are not stored. |
| Real interest rate (%) | FR.INR.RINR | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); Global Findex Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Refugee Population Statistics Database, UN High Commissioner for Refugees (UNHCR); World Development Indicators Database, World Bank (WB). Cells with no value are not stored. |
| Risk premium on lending (lending rate minus treasury bill rate, %) | FR.INR.RISK | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); Global Findex Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Refugee Population Statistics Database, UN High Commissioner for Refugees (UNHCR); World Development Indicators Database, World Bank (WB). Cells with no value are not stored. |
| Claims on central government, etc. (% GDP) | FS.AST.CGOV.GD.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); Global Findex Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Refugee Population Statistics Database, UN High Commissioner for Refugees (UNHCR); World Development Indicators Database, World Bank (WB). Cells with no value are not stored. |
| Claims on other sectors of the domestic economy (% of GDP) | FS.AST.DOMO.GD.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); Global Findex Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Refugee Population Statistics Database, UN High Commissioner for Refugees (UNHCR); World Development Indicators Database, World Bank (WB). Cells with no value are not stored. |
| Domestic credit provided by financial sector (% of GDP) | FS.AST.DOMS.GD.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); Global Findex Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Refugee Population Statistics Database, UN High Commissioner for Refugees (UNHCR); World Development Indicators Database, World Bank (WB). Cells with no value are not stored. |
| Domestic credit to private sector (% of GDP) | FS.AST.PRVT.GD.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); Global Findex Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Refugee Population Statistics Database, UN High Commissioner for Refugees (UNHCR); World Development Indicators Database, World Bank (WB). Cells with no value are not stored. |
| Account ownership at a financial institution or with a mobile-money-service provider, poorest 40% (% of population ages 15+) | FX.OWN.TOTL.40.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); Global Findex Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Refugee Population Statistics Database, UN High Commissioner for Refugees (UNHCR); World Development Indicators Database, World Bank (WB). Cells with no value are not stored. |
| Account ownership at a financial institution or with a mobile-money-service provider, richest 60% (% of population ages 15+) | FX.OWN.TOTL.60.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); Global Findex Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Refugee Population Statistics Database, UN High Commissioner for Refugees (UNHCR); World Development Indicators Database, World Bank (WB). Cells with no value are not stored. |
| Account ownership at a financial institution or with a mobile-money-service provider, female (% of population ages 15+) | FX.OWN.TOTL.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); Global Findex Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Refugee Population Statistics Database, UN High Commissioner for Refugees (UNHCR); World Development Indicators Database, World Bank (WB). Cells with no value are not stored. |
| Account ownership at a financial institution or with a mobile-money-service provider, male (% of population ages 15+) | FX.OWN.TOTL.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); Global Findex Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Refugee Population Statistics Database, UN High Commissioner for Refugees (UNHCR); World Development Indicators Database, World Bank (WB). Cells with no value are not stored. |
| Account ownership at a financial institution or with a mobile-money-service provider, older adults (% of population ages 25+) | FX.OWN.TOTL.OL.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); Global Findex Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Refugee Population Statistics Database, UN High Commissioner for Refugees (UNHCR); World Development Indicators Database, World Bank (WB). Cells with no value are not stored. |
| Account ownership at a financial institution or with a mobile-money-service provider, primary education or less (% of population ages 15+) | FX.OWN.TOTL.PL.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); Global Findex Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Refugee Population Statistics Database, UN High Commissioner for Refugees (UNHCR); World Development Indicators Database, World Bank (WB). Cells with no value are not stored. |
| Account ownership at a financial institution or with a mobile-money-service provider, secondary education or more (% of population ages 15+) | FX.OWN.TOTL.SO.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); Global Findex Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Refugee Population Statistics Database, UN High Commissioner for Refugees (UNHCR); World Development Indicators Database, World Bank (WB). Cells with no value are not stored. |
| Account ownership at a financial institution or with a mobile-money-service provider, young adults (% of population ages 15-24) | FX.OWN.TOTL.YG.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); Global Findex Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Refugee Population Statistics Database, UN High Commissioner for Refugees (UNHCR); World Development Indicators Database, World Bank (WB). Cells with no value are not stored. |
| Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+) | FX.OWN.TOTL.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); Global Findex Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Refugee Population Statistics Database, UN High Commissioner for Refugees (UNHCR); World Development Indicators Database, World Bank (WB). Cells with no value are not stored. |
| Inflation, GDP deflator: linked series (annual %) | NY.GDP.DEFL.KD.ZG.AD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); Global Findex Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Refugee Population Statistics Database, UN High Commissioner for Refugees (UNHCR); World Development Indicators Database, World Bank (WB). Cells with no value are not stored. |
| GDP deflator: linked series (base year varies by country) | NY.GDP.DEFL.ZS.AD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); Global Findex Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Refugee Population Statistics Database, UN High Commissioner for Refugees (UNHCR); World Development Indicators Database, World Bank (WB). Cells with no value are not stored. |
| Official exchange rate (LCU per US$, period average) | PA.NUS.FCRF | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); Global Findex Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Refugee Population Statistics Database, UN High Commissioner for Refugees (UNHCR); World Development Indicators Database, World Bank (WB). Cells with no value are not stored. |
| Real effective exchange rate index (2010 = 100) | PX.REX.REER | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); Global Findex Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Refugee Population Statistics Database, UN High Commissioner for Refugees (UNHCR); World Development Indicators Database, World Bank (WB). Cells with no value are not stored. |
| Average transaction cost of sending remittances to a specific country (%) | SI.RMT.COST.IB.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); Global Findex Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Refugee Population Statistics Database, UN High Commissioner for Refugees (UNHCR); World Development Indicators Database, World Bank (WB). Cells with no value are not stored. |
| Average transaction cost of sending remittances from a specific country (%) | SI.RMT.COST.OB.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); Global Findex Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Refugee Population Statistics Database, UN High Commissioner for Refugees (UNHCR); World Development Indicators Database, World Bank (WB). Cells with no value are not stored. |
| Asylum-seekers by country or territory of asylum | SM.POP.ASYS.EA | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); Global Findex Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Refugee Population Statistics Database, UN High Commissioner for Refugees (UNHCR); World Development Indicators Database, World Bank (WB). Cells with no value are not stored. |
| Asylum-seekers by country or territory of origin | SM.POP.ASYS.EO | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); Global Findex Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Refugee Population Statistics Database, UN High Commissioner for Refugees (UNHCR); World Development Indicators Database, World Bank (WB). Cells with no value are not stored. |
| Forcibly displaced people | SM.POP.FDIP | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); Global Findex Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Refugee Population Statistics Database, UN High Commissioner for Refugees (UNHCR); World Development Indicators Database, World Bank (WB). Cells with no value are not stored. |
| Internally displaced people (IDP) by country or territory of asylum / origin | SM.POP.IDPC | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); Global Findex Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Refugee Population Statistics Database, UN High Commissioner for Refugees (UNHCR); World Development Indicators Database, World Bank (WB). Cells with no value are not stored. |
| Other people in need of international protection by country or territory of asylum | SM.POP.OPIP.EA | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); Global Findex Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Refugee Population Statistics Database, UN High Commissioner for Refugees (UNHCR); World Development Indicators Database, World Bank (WB). Cells with no value are not stored. |
| Other people in need of international protection by country or territory of origin | SM.POP.OPIP.EO | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: International Financial Statistics database, International Monetary Fund (IMF); Global Findex Database, World Bank (WB); National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Refugee Population Statistics Database, UN High Commissioner for Refugees (UNHCR); World Development Indicators Database, World Bank (WB). Cells with no value are not stored. |
World Development Indicators: Financial sector (part 3 of 3)
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Refugees under the mandate of the UNHCR by country or territory of asylum | SM.POP.RHCR.EA | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Refugee Population Statistics Database, UN High Commissioner for Refugees (UNHCR); Statistics Bulletin, UN Relief and Works Agency for Palestine Refugees in the Near East (UNRWA). Cells with no value are not stored. |
| Refugees under the mandate of the UNHCR by country or territory of origin | SM.POP.RHCR.EO | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Refugee Population Statistics Database, UN High Commissioner for Refugees (UNHCR); Statistics Bulletin, UN Relief and Works Agency for Palestine Refugees in the Near East (UNRWA). Cells with no value are not stored. |
| Refugees under the mandate of the UNRWA by country or territory of asylum | SM.POP.RRWA.EA | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Refugee Population Statistics Database, UN High Commissioner for Refugees (UNHCR); Statistics Bulletin, UN Relief and Works Agency for Palestine Refugees in the Near East (UNRWA). Cells with no value are not stored. |
| Refugees under the mandate of the UNRWA by country or territory of origin | SM.POP.RRWA.EO | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Refugee Population Statistics Database, UN High Commissioner for Refugees (UNHCR); Statistics Bulletin, UN Relief and Works Agency for Palestine Refugees in the Near East (UNRWA). Cells with no value are not stored. |
World Development Indicators: Gender
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| WBL: Enforcement Perceptions Index (scale 0-100) | GD_WBL_OVL_ENF | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Women, Business and the Law, World Bank (WB); Indicator name from the original source: Proportion of time spent on unpaid domestic chores and care work, by sex, age and location (%); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program; Indicator name from the original source: Final say in all of the decisions [Women]. Cells with no value are not stored. |
| WBL: Legal Framework Index (scale 0-100) | GD_WBL_OVL_LAW | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Women, Business and the Law, World Bank (WB); Indicator name from the original source: Proportion of time spent on unpaid domestic chores and care work, by sex, age and location (%); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program; Indicator name from the original source: Final say in all of the decisions [Women]. Cells with no value are not stored. |
| WBL: Supportive Framework Index (scale 0-100) | GD_WBL_OVL_SFR | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Women, Business and the Law, World Bank (WB); Indicator name from the original source: Proportion of time spent on unpaid domestic chores and care work, by sex, age and location (%); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program; Indicator name from the original source: Final say in all of the decisions [Women]. Cells with no value are not stored. |
| Literacy rate, adult female (% of females ages 15 and above) | SE.ADT.LITR.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Women, Business and the Law, World Bank (WB); Indicator name from the original source: Proportion of time spent on unpaid domestic chores and care work, by sex, age and location (%); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program; Indicator name from the original source: Final say in all of the decisions [Women]. Cells with no value are not stored. |
| Women participating in the three decisions (own health care, major household purchases, and visiting family) (% of women age 15-49) | SG.DMK.ALLD.FN.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Women, Business and the Law, World Bank (WB); Indicator name from the original source: Proportion of time spent on unpaid domestic chores and care work, by sex, age and location (%); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program; Indicator name from the original source: Final say in all of the decisions [Women]. Cells with no value are not stored. |
| Women making their own informed decisions regarding sexual relations, contraceptive use and reproductive health care (% of women age 15-49) | SG.DMK.SRCR.FN.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Women, Business and the Law, World Bank (WB); Indicator name from the original source: Proportion of time spent on unpaid domestic chores and care work, by sex, age and location (%); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program; Indicator name from the original source: Final say in all of the decisions [Women]. Cells with no value are not stored. |
| Proportion of time spent on unpaid domestic and care work, female (% of 24 hour day) | SG.TIM.UWRK.FE | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Women, Business and the Law, World Bank (WB); Indicator name from the original source: Proportion of time spent on unpaid domestic chores and care work, by sex, age and location (%); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program; Indicator name from the original source: Final say in all of the decisions [Women]. Cells with no value are not stored. |
| Proportion of time spent on unpaid domestic and care work, male (% of 24 hour day) | SG.TIM.UWRK.MA | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Women, Business and the Law, World Bank (WB); Indicator name from the original source: Proportion of time spent on unpaid domestic chores and care work, by sex, age and location (%); Data API, UN Educational, Scientific and Cultural Organization (UNESCO); Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program; Indicator name from the original source: Final say in all of the decisions [Women]. Cells with no value are not stored. |
World Development Indicators: Health (part 1 of 9)
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Human capital index plus (HCI+): health pillar score, female (scale 0–50) | HD_HCIP_HLTH_FE | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program; UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB). Cells with no value are not stored. |
| Human capital index plus (HCI+): health pillar score, male (scale 0–50) | HD_HCIP_HLTH_MA | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program; UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB). Cells with no value are not stored. |
| Human capital index plus (HCI+): health pillar score, total (scale 0–50) | HD_HCIP_HLTH_TO | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program; UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB). Cells with no value are not stored. |
| Proportion of women subjected to physical and/or sexual violence in the last 12 months (% of ever-partnered women ages 15-49) | SG.VAW.1549.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program; UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB). Cells with no value are not stored. |
| Women who believe a husband is justified in beating his wife when she argues with him (%) | SG.VAW.ARGU.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program; UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB). Cells with no value are not stored. |
| Women who believe a husband is justified in beating his wife when she burns the food (%) | SG.VAW.BURN.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program; UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB). Cells with no value are not stored. |
| Women who believe a husband is justified in beating his wife when she goes out without telling him (%) | SG.VAW.GOES.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program; UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB). Cells with no value are not stored. |
| Women who believe a husband is justified in beating his wife when she neglects the children (%) | SG.VAW.NEGL.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program; UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB). Cells with no value are not stored. |
| Women who believe a husband is justified in beating his wife (any of five reasons) (%) | SG.VAW.REAS.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program; UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB). Cells with no value are not stored. |
| Women who believe a husband is justified in beating his wife when she refuses sex with him (%) | SG.VAW.REFU.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program; UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB). Cells with no value are not stored. |
| Total alcohol consumption per capita, female (liters of pure alcohol, projected estimates, female 15+ years of age) | SH.ALC.PCAP.FE.LI | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program; UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB). Cells with no value are not stored. |
| Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age) | SH.ALC.PCAP.LI | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program; UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB). Cells with no value are not stored. |
| Total alcohol consumption per capita, male (liters of pure alcohol, projected estimates, male 15+ years of age) | SH.ALC.PCAP.MA.LI | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program; UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB). Cells with no value are not stored. |
| Prevalence of anemia among women of reproductive age (% of women ages 15-49) | SH.ANM.ALLW.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program; UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB). Cells with no value are not stored. |
| Prevalence of anemia among children (% of children ages 6-59 months) | SH.ANM.CHLD.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program; UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB). Cells with no value are not stored. |
| Prevalence of anemia among non-pregnant women (% of women ages 15-49) | SH.ANM.NPRG.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program; UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB). Cells with no value are not stored. |
| Condom use, population ages 15-24, female (% of females ages 15-24) | SH.CON.1524.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program; UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB). Cells with no value are not stored. |
| Condom use, population ages 15-24, male (% of males ages 15-24) | SH.CON.1524.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program; UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB). Cells with no value are not stored. |
| Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions (% of total) | SH.DTH.COMM.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program; UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB). Cells with no value are not stored. |
| Number of infant deaths | SH.DTH.IMRT | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program; UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB). Cells with no value are not stored. |
| Cause of death, by injury (% of total) | SH.DTH.INJR.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program; UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB). Cells with no value are not stored. |
| Number of under-five deaths | SH.DTH.MORT | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program; UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB). Cells with no value are not stored. |
| Cause of death, by non-communicable diseases (% of total) | SH.DTH.NCOM.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program; UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB). Cells with no value are not stored. |
| Number of neonatal deaths | SH.DTH.NMRT | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program; UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB). Cells with no value are not stored. |
| Cause of death, by other COVID-19 pandemic-related outcomes (% of total) | SH.DTH.OCVD.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program; UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB). Cells with no value are not stored. |
| Women's share of population ages 15+ living with HIV (%) | SH.DYN.AIDS.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program; UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB). Cells with no value are not stored. |
| Prevalence of HIV, total (% of population ages 15-49) | SH.DYN.AIDS.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program; UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB). Cells with no value are not stored. |
| Mortality rate, under-5 (per 1,000 live births) | SH.DYN.MORT | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program; UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB). Cells with no value are not stored. |
| Mortality rate, under-5, female (per 1,000 live births) | SH.DYN.MORT.FE | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program; UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB). Cells with no value are not stored. |
| Mortality rate, under-5, male (per 1,000 live births) | SH.DYN.MORT.MA | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: United Nations (UN); Demographic and Health Surveys (DHS), Demographic and Health Surveys (DHS) Program; UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF); World Health Organization (WHO); World Bank (WB). Cells with no value are not stored. |
World Development Indicators: Health (part 2 of 9)
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Mortality from CVD, cancer, diabetes or CRD between exact ages 30 and 70, female (%) | SH.DYN.NCOM.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UNAIDS estimates, Joint United Nations Programme on HIV/AIDS (UNAIDS); UN Children's Fund (UNICEF); WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene, World Health Organization (WHO); World Health Organization (WHO); World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO). Cells with no value are not stored. |
| Mortality from CVD, cancer, diabetes or CRD between exact ages 30 and 70, male (%) | SH.DYN.NCOM.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UNAIDS estimates, Joint United Nations Programme on HIV/AIDS (UNAIDS); UN Children's Fund (UNICEF); WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene, World Health Organization (WHO); World Health Organization (WHO); World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO). Cells with no value are not stored. |
| Mortality from CVD, cancer, diabetes or CRD between exact ages 30 and 70 (%) | SH.DYN.NCOM.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UNAIDS estimates, Joint United Nations Programme on HIV/AIDS (UNAIDS); UN Children's Fund (UNICEF); WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene, World Health Organization (WHO); World Health Organization (WHO); World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO). Cells with no value are not stored. |
| Mortality rate, neonatal (per 1,000 live births) | SH.DYN.NMRT | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UNAIDS estimates, Joint United Nations Programme on HIV/AIDS (UNAIDS); UN Children's Fund (UNICEF); WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene, World Health Organization (WHO); World Health Organization (WHO); World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO). Cells with no value are not stored. |
| Demand for family planning satisfied by modern methods (% of married women with demand for family planning) | SH.FPL.SATM.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UNAIDS estimates, Joint United Nations Programme on HIV/AIDS (UNAIDS); UN Children's Fund (UNICEF); WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene, World Health Organization (WHO); World Health Organization (WHO); World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO). Cells with no value are not stored. |
| People using at least basic drinking water services, rural (% of rural population) | SH.H2O.BASW.RU.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UNAIDS estimates, Joint United Nations Programme on HIV/AIDS (UNAIDS); UN Children's Fund (UNICEF); WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene, World Health Organization (WHO); World Health Organization (WHO); World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO). Cells with no value are not stored. |
| People using at least basic drinking water services, urban (% of urban population) | SH.H2O.BASW.UR.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UNAIDS estimates, Joint United Nations Programme on HIV/AIDS (UNAIDS); UN Children's Fund (UNICEF); WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene, World Health Organization (WHO); World Health Organization (WHO); World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO). Cells with no value are not stored. |
| People using at least basic drinking water services (% of population) | SH.H2O.BASW.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UNAIDS estimates, Joint United Nations Programme on HIV/AIDS (UNAIDS); UN Children's Fund (UNICEF); WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene, World Health Organization (WHO); World Health Organization (WHO); World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO). Cells with no value are not stored. |
| People using safely managed drinking water services, rural (% of rural population) | SH.H2O.SMDW.RU.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UNAIDS estimates, Joint United Nations Programme on HIV/AIDS (UNAIDS); UN Children's Fund (UNICEF); WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene, World Health Organization (WHO); World Health Organization (WHO); World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO). Cells with no value are not stored. |
| People using safely managed drinking water services, urban (% of urban population) | SH.H2O.SMDW.UR.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UNAIDS estimates, Joint United Nations Programme on HIV/AIDS (UNAIDS); UN Children's Fund (UNICEF); WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene, World Health Organization (WHO); World Health Organization (WHO); World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO). Cells with no value are not stored. |
| People using safely managed drinking water services (% of population) | SH.H2O.SMDW.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UNAIDS estimates, Joint United Nations Programme on HIV/AIDS (UNAIDS); UN Children's Fund (UNICEF); WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene, World Health Organization (WHO); World Health Organization (WHO); World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO). Cells with no value are not stored. |
| Children (0-14) living with HIV | SH.HIV.0014 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UNAIDS estimates, Joint United Nations Programme on HIV/AIDS (UNAIDS); UN Children's Fund (UNICEF); WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene, World Health Organization (WHO); World Health Organization (WHO); World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO). Cells with no value are not stored. |
| Prevalence of HIV, female (% ages 15-24) | SH.HIV.1524.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UNAIDS estimates, Joint United Nations Programme on HIV/AIDS (UNAIDS); UN Children's Fund (UNICEF); WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene, World Health Organization (WHO); World Health Organization (WHO); World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO). Cells with no value are not stored. |
| Prevalence of HIV, male (% ages 15-24) | SH.HIV.1524.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UNAIDS estimates, Joint United Nations Programme on HIV/AIDS (UNAIDS); UN Children's Fund (UNICEF); WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene, World Health Organization (WHO); World Health Organization (WHO); World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO). Cells with no value are not stored. |
| Antiretroviral therapy coverage (% of people living with HIV) | SH.HIV.ARTC.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UNAIDS estimates, Joint United Nations Programme on HIV/AIDS (UNAIDS); UN Children's Fund (UNICEF); WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene, World Health Organization (WHO); World Health Organization (WHO); World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO). Cells with no value are not stored. |
| Adults (ages 15-49) newly infected with HIV | SH.HIV.INCD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UNAIDS estimates, Joint United Nations Programme on HIV/AIDS (UNAIDS); UN Children's Fund (UNICEF); WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene, World Health Organization (WHO); World Health Organization (WHO); World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO). Cells with no value are not stored. |
| Children (ages 0-14) newly infected with HIV | SH.HIV.INCD.14 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UNAIDS estimates, Joint United Nations Programme on HIV/AIDS (UNAIDS); UN Children's Fund (UNICEF); WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene, World Health Organization (WHO); World Health Organization (WHO); World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO). Cells with no value are not stored. |
| Adults (ages 15+) and children (ages 0-14) newly infected with HIV | SH.HIV.INCD.TL | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UNAIDS estimates, Joint United Nations Programme on HIV/AIDS (UNAIDS); UN Children's Fund (UNICEF); WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene, World Health Organization (WHO); World Health Organization (WHO); World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO). Cells with no value are not stored. |
| Incidence of HIV, all (per 1,000 uninfected population) | SH.HIV.INCD.TL.P3 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UNAIDS estimates, Joint United Nations Programme on HIV/AIDS (UNAIDS); UN Children's Fund (UNICEF); WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene, World Health Organization (WHO); World Health Organization (WHO); World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO). Cells with no value are not stored. |
| Young people (ages 15-24) newly infected with HIV | SH.HIV.INCD.YG | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UNAIDS estimates, Joint United Nations Programme on HIV/AIDS (UNAIDS); UN Children's Fund (UNICEF); WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene, World Health Organization (WHO); World Health Organization (WHO); World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO). Cells with no value are not stored. |
| Incidence of HIV, ages 15-24 (per 1,000 uninfected population ages 15-24) | SH.HIV.INCD.YG.P3 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UNAIDS estimates, Joint United Nations Programme on HIV/AIDS (UNAIDS); UN Children's Fund (UNICEF); WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene, World Health Organization (WHO); World Health Organization (WHO); World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO). Cells with no value are not stored. |
| Incidence of HIV, ages 15-49 (per 1,000 uninfected population ages 15-49) | SH.HIV.INCD.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UNAIDS estimates, Joint United Nations Programme on HIV/AIDS (UNAIDS); UN Children's Fund (UNICEF); WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene, World Health Organization (WHO); World Health Organization (WHO); World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO). Cells with no value are not stored. |
| Antiretroviral therapy coverage for PMTCT (% of pregnant women living with HIV) | SH.HIV.PMTC.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UNAIDS estimates, Joint United Nations Programme on HIV/AIDS (UNAIDS); UN Children's Fund (UNICEF); WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene, World Health Organization (WHO); World Health Organization (WHO); World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO). Cells with no value are not stored. |
| Immunization, HepB3 (% of one-year-old children) | SH.IMM.HEPB | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UNAIDS estimates, Joint United Nations Programme on HIV/AIDS (UNAIDS); UN Children's Fund (UNICEF); WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene, World Health Organization (WHO); World Health Organization (WHO); World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO). Cells with no value are not stored. |
| Immunization, DPT (% of children ages 12-23 months) | SH.IMM.IDPT | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UNAIDS estimates, Joint United Nations Programme on HIV/AIDS (UNAIDS); UN Children's Fund (UNICEF); WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene, World Health Organization (WHO); World Health Organization (WHO); World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO). Cells with no value are not stored. |
| Immunization, measles (% of children ages 12-23 months) | SH.IMM.MEAS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UNAIDS estimates, Joint United Nations Programme on HIV/AIDS (UNAIDS); UN Children's Fund (UNICEF); WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene, World Health Organization (WHO); World Health Organization (WHO); World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO). Cells with no value are not stored. |
| Hospital beds (per 1,000 people) | SH.MED.BEDS.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UNAIDS estimates, Joint United Nations Programme on HIV/AIDS (UNAIDS); UN Children's Fund (UNICEF); WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene, World Health Organization (WHO); World Health Organization (WHO); World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO). Cells with no value are not stored. |
| Community health workers (per 1,000 people) | SH.MED.CMHW.P3 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UNAIDS estimates, Joint United Nations Programme on HIV/AIDS (UNAIDS); UN Children's Fund (UNICEF); WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene, World Health Organization (WHO); World Health Organization (WHO); World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO). Cells with no value are not stored. |
| Nurses and midwives (per 1,000 people) | SH.MED.NUMW.P3 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UNAIDS estimates, Joint United Nations Programme on HIV/AIDS (UNAIDS); UN Children's Fund (UNICEF); WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene, World Health Organization (WHO); World Health Organization (WHO); World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO). Cells with no value are not stored. |
| Physicians (per 1,000 people) | SH.MED.PHYS.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UNAIDS estimates, Joint United Nations Programme on HIV/AIDS (UNAIDS); UN Children's Fund (UNICEF); WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene, World Health Organization (WHO); World Health Organization (WHO); World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO). Cells with no value are not stored. |
World Development Indicators: Health (part 3 of 9)
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Specialist surgical workforce (per 100,000 population) | SH.MED.SAOP.P5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UN Children's Fund (UNICEF); State of the World's Children, UN Children's Fund (UNICEF); Childinfo, UN Children's Fund (UNICEF); Demographic and Health Surveys, Demographic and Health Surveys (DHS) Program; Global Health Observatory Data Repository, World Health Organization (WHO). Cells with no value are not stored. |
| Incidence of malaria (per 1,000 population at risk) | SH.MLR.INCD.P3 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UN Children's Fund (UNICEF); State of the World's Children, UN Children's Fund (UNICEF); Childinfo, UN Children's Fund (UNICEF); Demographic and Health Surveys, Demographic and Health Surveys (DHS) Program; Global Health Observatory Data Repository, World Health Organization (WHO). Cells with no value are not stored. |
| Use of insecticide-treated bed nets (% of under-5 population) | SH.MLR.NETS.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UN Children's Fund (UNICEF); State of the World's Children, UN Children's Fund (UNICEF); Childinfo, UN Children's Fund (UNICEF); Demographic and Health Surveys, Demographic and Health Surveys (DHS) Program; Global Health Observatory Data Repository, World Health Organization (WHO). Cells with no value are not stored. |
| Children with fever receiving antimalarial drugs (% of children under age 5 with fever) | SH.MLR.TRET.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UN Children's Fund (UNICEF); State of the World's Children, UN Children's Fund (UNICEF); Childinfo, UN Children's Fund (UNICEF); Demographic and Health Surveys, Demographic and Health Surveys (DHS) Program; Global Health Observatory Data Repository, World Health Organization (WHO). Cells with no value are not stored. |
| Number of maternal deaths | SH.MMR.DTHS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UN Children's Fund (UNICEF); State of the World's Children, UN Children's Fund (UNICEF); Childinfo, UN Children's Fund (UNICEF); Demographic and Health Surveys, Demographic and Health Surveys (DHS) Program; Global Health Observatory Data Repository, World Health Organization (WHO). Cells with no value are not stored. |
| Lifetime risk of maternal death (1 in: rate varies by country) | SH.MMR.RISK | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UN Children's Fund (UNICEF); State of the World's Children, UN Children's Fund (UNICEF); Childinfo, UN Children's Fund (UNICEF); Demographic and Health Surveys, Demographic and Health Surveys (DHS) Program; Global Health Observatory Data Repository, World Health Organization (WHO). Cells with no value are not stored. |
| Lifetime risk of maternal death (%) | SH.MMR.RISK.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UN Children's Fund (UNICEF); State of the World's Children, UN Children's Fund (UNICEF); Childinfo, UN Children's Fund (UNICEF); Demographic and Health Surveys, Demographic and Health Surveys (DHS) Program; Global Health Observatory Data Repository, World Health Organization (WHO). Cells with no value are not stored. |
| Prevalence of anemia among pregnant women (%) | SH.PRG.ANEM | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UN Children's Fund (UNICEF); State of the World's Children, UN Children's Fund (UNICEF); Childinfo, UN Children's Fund (UNICEF); Demographic and Health Surveys, Demographic and Health Surveys (DHS) Program; Global Health Observatory Data Repository, World Health Organization (WHO). Cells with no value are not stored. |
| Prevalence of current tobacco use (% of adults) | SH.PRV.SMOK | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UN Children's Fund (UNICEF); State of the World's Children, UN Children's Fund (UNICEF); Childinfo, UN Children's Fund (UNICEF); Demographic and Health Surveys, Demographic and Health Surveys (DHS) Program; Global Health Observatory Data Repository, World Health Organization (WHO). Cells with no value are not stored. |
| Prevalence of current tobacco use, females (% of female adults) | SH.PRV.SMOK.FE | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UN Children's Fund (UNICEF); State of the World's Children, UN Children's Fund (UNICEF); Childinfo, UN Children's Fund (UNICEF); Demographic and Health Surveys, Demographic and Health Surveys (DHS) Program; Global Health Observatory Data Repository, World Health Organization (WHO). Cells with no value are not stored. |
| Prevalence of current tobacco use, males (% of male adults) | SH.PRV.SMOK.MA | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UN Children's Fund (UNICEF); State of the World's Children, UN Children's Fund (UNICEF); Childinfo, UN Children's Fund (UNICEF); Demographic and Health Surveys, Demographic and Health Surveys (DHS) Program; Global Health Observatory Data Repository, World Health Organization (WHO). Cells with no value are not stored. |
| Risk of catastrophic expenditure for surgical care (% of people at risk) | SH.SGR.CRSK.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UN Children's Fund (UNICEF); State of the World's Children, UN Children's Fund (UNICEF); Childinfo, UN Children's Fund (UNICEF); Demographic and Health Surveys, Demographic and Health Surveys (DHS) Program; Global Health Observatory Data Repository, World Health Organization (WHO). Cells with no value are not stored. |
| Risk of impoverishing expenditure for surgical care (% of people at risk) | SH.SGR.IRSK.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UN Children's Fund (UNICEF); State of the World's Children, UN Children's Fund (UNICEF); Childinfo, UN Children's Fund (UNICEF); Demographic and Health Surveys, Demographic and Health Surveys (DHS) Program; Global Health Observatory Data Repository, World Health Organization (WHO). Cells with no value are not stored. |
| Number of surgical procedures (per 100,000 population) | SH.SGR.PROC.P5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UN Children's Fund (UNICEF); State of the World's Children, UN Children's Fund (UNICEF); Childinfo, UN Children's Fund (UNICEF); Demographic and Health Surveys, Demographic and Health Surveys (DHS) Program; Global Health Observatory Data Repository, World Health Organization (WHO). Cells with no value are not stored. |
| Mortality rate attributed to household and ambient air pollution, age-standardized, female (per 100,000 female population) | SH.STA.AIRP.FE.P5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UN Children's Fund (UNICEF); State of the World's Children, UN Children's Fund (UNICEF); Childinfo, UN Children's Fund (UNICEF); Demographic and Health Surveys, Demographic and Health Surveys (DHS) Program; Global Health Observatory Data Repository, World Health Organization (WHO). Cells with no value are not stored. |
| Mortality rate attributed to household and ambient air pollution, age-standardized, male (per 100,000 male population) | SH.STA.AIRP.MA.P5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UN Children's Fund (UNICEF); State of the World's Children, UN Children's Fund (UNICEF); Childinfo, UN Children's Fund (UNICEF); Demographic and Health Surveys, Demographic and Health Surveys (DHS) Program; Global Health Observatory Data Repository, World Health Organization (WHO). Cells with no value are not stored. |
| Mortality rate attributed to household and ambient air pollution, age-standardized (per 100,000 population) | SH.STA.AIRP.P5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UN Children's Fund (UNICEF); State of the World's Children, UN Children's Fund (UNICEF); Childinfo, UN Children's Fund (UNICEF); Demographic and Health Surveys, Demographic and Health Surveys (DHS) Program; Global Health Observatory Data Repository, World Health Organization (WHO). Cells with no value are not stored. |
| Pregnant women receiving prenatal care (%) | SH.STA.ANVC.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UN Children's Fund (UNICEF); State of the World's Children, UN Children's Fund (UNICEF); Childinfo, UN Children's Fund (UNICEF); Demographic and Health Surveys, Demographic and Health Surveys (DHS) Program; Global Health Observatory Data Repository, World Health Organization (WHO). Cells with no value are not stored. |
| ARI treatment (% of children under 5 taken to a health provider) | SH.STA.ARIC.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UN Children's Fund (UNICEF); State of the World's Children, UN Children's Fund (UNICEF); Childinfo, UN Children's Fund (UNICEF); Demographic and Health Surveys, Demographic and Health Surveys (DHS) Program; Global Health Observatory Data Repository, World Health Organization (WHO). Cells with no value are not stored. |
| People using at least basic sanitation services, rural (% of rural population) | SH.STA.BASS.RU.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UN Children's Fund (UNICEF); State of the World's Children, UN Children's Fund (UNICEF); Childinfo, UN Children's Fund (UNICEF); Demographic and Health Surveys, Demographic and Health Surveys (DHS) Program; Global Health Observatory Data Repository, World Health Organization (WHO). Cells with no value are not stored. |
| People using at least basic sanitation services, urban (% of urban population) | SH.STA.BASS.UR.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UN Children's Fund (UNICEF); State of the World's Children, UN Children's Fund (UNICEF); Childinfo, UN Children's Fund (UNICEF); Demographic and Health Surveys, Demographic and Health Surveys (DHS) Program; Global Health Observatory Data Repository, World Health Organization (WHO). Cells with no value are not stored. |
| People using at least basic sanitation services (% of population) | SH.STA.BASS.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UN Children's Fund (UNICEF); State of the World's Children, UN Children's Fund (UNICEF); Childinfo, UN Children's Fund (UNICEF); Demographic and Health Surveys, Demographic and Health Surveys (DHS) Program; Global Health Observatory Data Repository, World Health Organization (WHO). Cells with no value are not stored. |
| Exclusive breastfeeding (% of children under 6 months) | SH.STA.BFED.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UN Children's Fund (UNICEF); State of the World's Children, UN Children's Fund (UNICEF); Childinfo, UN Children's Fund (UNICEF); Demographic and Health Surveys, Demographic and Health Surveys (DHS) Program; Global Health Observatory Data Repository, World Health Organization (WHO). Cells with no value are not stored. |
| Births attended by skilled health staff (% of total) | SH.STA.BRTC.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UN Children's Fund (UNICEF); State of the World's Children, UN Children's Fund (UNICEF); Childinfo, UN Children's Fund (UNICEF); Demographic and Health Surveys, Demographic and Health Surveys (DHS) Program; Global Health Observatory Data Repository, World Health Organization (WHO). Cells with no value are not stored. |
| Low-birthweight babies (% of births) | SH.STA.BRTW.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UN Children's Fund (UNICEF); State of the World's Children, UN Children's Fund (UNICEF); Childinfo, UN Children's Fund (UNICEF); Demographic and Health Surveys, Demographic and Health Surveys (DHS) Program; Global Health Observatory Data Repository, World Health Organization (WHO). Cells with no value are not stored. |
| Diabetes prevalence (% of population ages 20 to 79) | SH.STA.DIAB.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UN Children's Fund (UNICEF); State of the World's Children, UN Children's Fund (UNICEF); Childinfo, UN Children's Fund (UNICEF); Demographic and Health Surveys, Demographic and Health Surveys (DHS) Program; Global Health Observatory Data Repository, World Health Organization (WHO). Cells with no value are not stored. |
| Female genital mutilation prevalence (%) | SH.STA.FGMS.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UN Children's Fund (UNICEF); State of the World's Children, UN Children's Fund (UNICEF); Childinfo, UN Children's Fund (UNICEF); Demographic and Health Surveys, Demographic and Health Surveys (DHS) Program; Global Health Observatory Data Repository, World Health Organization (WHO). Cells with no value are not stored. |
| People with basic handwashing facilities including soap and water, rural (% of rural population) | SH.STA.HYGN.RU.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UN Children's Fund (UNICEF); State of the World's Children, UN Children's Fund (UNICEF); Childinfo, UN Children's Fund (UNICEF); Demographic and Health Surveys, Demographic and Health Surveys (DHS) Program; Global Health Observatory Data Repository, World Health Organization (WHO). Cells with no value are not stored. |
| People with basic handwashing facilities including soap and water, urban (% of urban population) | SH.STA.HYGN.UR.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UN Children's Fund (UNICEF); State of the World's Children, UN Children's Fund (UNICEF); Childinfo, UN Children's Fund (UNICEF); Demographic and Health Surveys, Demographic and Health Surveys (DHS) Program; Global Health Observatory Data Repository, World Health Organization (WHO). Cells with no value are not stored. |
| People with basic handwashing facilities including soap and water (% of population) | SH.STA.HYGN.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UN Children's Fund (UNICEF); State of the World's Children, UN Children's Fund (UNICEF); Childinfo, UN Children's Fund (UNICEF); Demographic and Health Surveys, Demographic and Health Surveys (DHS) Program; Global Health Observatory Data Repository, World Health Organization (WHO). Cells with no value are not stored. |
World Development Indicators: Health (part 4 of 9)
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Prevalence of underweight, weight for age, female (% of children under 5) | SH.STA.MALN.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); World Bank (WB); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Prevalence of underweight, weight for age, male (% of children under 5) | SH.STA.MALN.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); World Bank (WB); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Prevalence of underweight, weight for age (% of children under 5) | SH.STA.MALN.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); World Bank (WB); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Maternal mortality ratio (modeled estimate, per 100,000 live births) | SH.STA.MMRT | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); World Bank (WB); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Maternal mortality ratio (national estimate, per 100,000 live births) | SH.STA.MMRT.NE | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); World Bank (WB); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| People practicing open defecation, rural (% of rural population) | SH.STA.ODFC.RU.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); World Bank (WB); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| People practicing open defecation, urban (% of urban population) | SH.STA.ODFC.UR.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); World Bank (WB); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| People practicing open defecation (% of population) | SH.STA.ODFC.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); World Bank (WB); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Diarrhea treatment (% of children under 5 receiving oral rehydration and continued feeding) | SH.STA.ORCF.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); World Bank (WB); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Diarrhea treatment (% of children under 5 who received ORS packet) | SH.STA.ORTH | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); World Bank (WB); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Prevalence of overweight, weight for height, female (% of children under 5) | SH.STA.OWGH.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); World Bank (WB); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Prevalence of overweight, weight for height, male (% of children under 5) | SH.STA.OWGH.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); World Bank (WB); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Prevalence of overweight, weight for height, female (modeled estimate, % of children under 5) | SH.STA.OWGH.ME.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); World Bank (WB); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Prevalence of overweight, weight for height, male (modeled estimate, % of children under 5) | SH.STA.OWGH.ME.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); World Bank (WB); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Prevalence of overweight, weight for height (modeled estimate, % of children under 5) | SH.STA.OWGH.ME.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); World Bank (WB); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Prevalence of overweight, weight for height (% of children under 5) | SH.STA.OWGH.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); World Bank (WB); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Mortality rate attributed to unintentional poisoning (per 100,000 population) | SH.STA.POIS.P5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); World Bank (WB); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Mortality rate attributed to unintentional poisoning, female (per 100,000 female population) | SH.STA.POIS.P5.FE | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); World Bank (WB); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Mortality rate attributed to unintentional poisoning, male (per 100,000 male population) | SH.STA.POIS.P5.MA | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); World Bank (WB); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| People using safely managed sanitation services, rural (% of rural population) | SH.STA.SMSS.RU.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); World Bank (WB); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| People using safely managed sanitation services, urban (% of urban population) | SH.STA.SMSS.UR.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); World Bank (WB); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| People using safely managed sanitation services (% of population) | SH.STA.SMSS.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); World Bank (WB); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Prevalence of stunting, height for age, female (% of children under 5) | SH.STA.STNT.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); World Bank (WB); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Prevalence of stunting, height for age, male (% of children under 5) | SH.STA.STNT.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); World Bank (WB); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Prevalence of stunting, height for age, female (modeled estimate, % of children under 5) | SH.STA.STNT.ME.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); World Bank (WB); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Prevalence of stunting, height for age, male (modeled estimate, % of children under 5) | SH.STA.STNT.ME.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); World Bank (WB); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Prevalence of stunting, height for age (modeled estimate, % of children under 5) | SH.STA.STNT.ME.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); World Bank (WB); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Prevalence of stunting, height for age (% of children under 5) | SH.STA.STNT.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); World Bank (WB); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Suicide mortality rate, female (per 100,000 female population) | SH.STA.SUIC.FE.P5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); World Bank (WB); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Suicide mortality rate, male (per 100,000 male population) | SH.STA.SUIC.MA.P5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); World Bank (WB); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); UN Children's Fund (UNICEF). Cells with no value are not stored. |
World Development Indicators: Health (part 5 of 9)
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Suicide mortality rate (per 100,000 population) | SH.STA.SUIC.P5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Global Health Expenditure Database, updated December 12th, 2025, World Health Organization (WHO); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); World Bank (WB). Cells with no value are not stored. |
| Mortality caused by road traffic injury (per 100,000 population) | SH.STA.TRAF.P5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Global Health Expenditure Database, updated December 12th, 2025, World Health Organization (WHO); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); World Bank (WB). Cells with no value are not stored. |
| Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (per 100,000 population) | SH.STA.WASH.P5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Global Health Expenditure Database, updated December 12th, 2025, World Health Organization (WHO); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); World Bank (WB). Cells with no value are not stored. |
| Prevalence of wasting, weight for height, female (% of children under 5) | SH.STA.WAST.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Global Health Expenditure Database, updated December 12th, 2025, World Health Organization (WHO); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); World Bank (WB). Cells with no value are not stored. |
| Prevalence of wasting, weight for height, male (% of children under 5) | SH.STA.WAST.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Global Health Expenditure Database, updated December 12th, 2025, World Health Organization (WHO); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); World Bank (WB). Cells with no value are not stored. |
| Prevalence of wasting, weight for height (% of children under 5) | SH.STA.WAST.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Global Health Expenditure Database, updated December 12th, 2025, World Health Organization (WHO); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); World Bank (WB). Cells with no value are not stored. |
| Prevalence of severe wasting, weight for height, female (% of children under 5) | SH.SVR.WAST.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Global Health Expenditure Database, updated December 12th, 2025, World Health Organization (WHO); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); World Bank (WB). Cells with no value are not stored. |
| Prevalence of severe wasting, weight for height, male (% of children under 5) | SH.SVR.WAST.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Global Health Expenditure Database, updated December 12th, 2025, World Health Organization (WHO); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); World Bank (WB). Cells with no value are not stored. |
| Prevalence of severe wasting, weight for height (% of children under 5) | SH.SVR.WAST.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Global Health Expenditure Database, updated December 12th, 2025, World Health Organization (WHO); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); World Bank (WB). Cells with no value are not stored. |
| Tuberculosis treatment success rate (% of new cases) | SH.TBS.CURE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Global Health Expenditure Database, updated December 12th, 2025, World Health Organization (WHO); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); World Bank (WB). Cells with no value are not stored. |
| Tuberculosis case detection rate (%, all forms) | SH.TBS.DTEC.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Global Health Expenditure Database, updated December 12th, 2025, World Health Organization (WHO); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); World Bank (WB). Cells with no value are not stored. |
| Incidence of tuberculosis (per 100,000 people) | SH.TBS.INCD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Global Health Expenditure Database, updated December 12th, 2025, World Health Organization (WHO); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); World Bank (WB). Cells with no value are not stored. |
| Newborns protected against tetanus (%) | SH.VAC.TTNS.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Global Health Expenditure Database, updated December 12th, 2025, World Health Organization (WHO); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); World Bank (WB). Cells with no value are not stored. |
| Current health expenditure (% of GDP) | SH.XPD.CHEX.GD.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Global Health Expenditure Database, updated December 12th, 2025, World Health Organization (WHO); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); World Bank (WB). Cells with no value are not stored. |
| Current health expenditure per capita (current US$) | SH.XPD.CHEX.PC.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Global Health Expenditure Database, updated December 12th, 2025, World Health Organization (WHO); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); World Bank (WB). Cells with no value are not stored. |
| Current health expenditure per capita, PPP (current international $) | SH.XPD.CHEX.PP.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Global Health Expenditure Database, updated December 12th, 2025, World Health Organization (WHO); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); World Bank (WB). Cells with no value are not stored. |
| External health expenditure (% of current health expenditure) | SH.XPD.EHEX.CH.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Global Health Expenditure Database, updated December 12th, 2025, World Health Organization (WHO); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); World Bank (WB). Cells with no value are not stored. |
| External health expenditure per capita (current US$) | SH.XPD.EHEX.PC.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Global Health Expenditure Database, updated December 12th, 2025, World Health Organization (WHO); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); World Bank (WB). Cells with no value are not stored. |
| External health expenditure per capita, PPP (current international $) | SH.XPD.EHEX.PP.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Global Health Expenditure Database, updated December 12th, 2025, World Health Organization (WHO); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); World Bank (WB). Cells with no value are not stored. |
| Domestic general government health expenditure (% of current health expenditure) | SH.XPD.GHED.CH.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Global Health Expenditure Database, updated December 12th, 2025, World Health Organization (WHO); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); World Bank (WB). Cells with no value are not stored. |
| Domestic general government health expenditure (% of GDP) | SH.XPD.GHED.GD.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Global Health Expenditure Database, updated December 12th, 2025, World Health Organization (WHO); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); World Bank (WB). Cells with no value are not stored. |
| Domestic general government health expenditure (% of general government expenditure) | SH.XPD.GHED.GE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Global Health Expenditure Database, updated December 12th, 2025, World Health Organization (WHO); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); World Bank (WB). Cells with no value are not stored. |
| Domestic general government health expenditure per capita (current US$) | SH.XPD.GHED.PC.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Global Health Expenditure Database, updated December 12th, 2025, World Health Organization (WHO); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); World Bank (WB). Cells with no value are not stored. |
| Domestic general government health expenditure per capita, PPP (current international $) | SH.XPD.GHED.PP.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Global Health Expenditure Database, updated December 12th, 2025, World Health Organization (WHO); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); World Bank (WB). Cells with no value are not stored. |
| Out-of-pocket expenditure (% of current health expenditure) | SH.XPD.OOPC.CH.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Global Health Expenditure Database, updated December 12th, 2025, World Health Organization (WHO); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); World Bank (WB). Cells with no value are not stored. |
| Out-of-pocket expenditure per capita (current US$) | SH.XPD.OOPC.PC.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Global Health Expenditure Database, updated December 12th, 2025, World Health Organization (WHO); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); World Bank (WB). Cells with no value are not stored. |
| Out-of-pocket expenditure per capita, PPP (current international $) | SH.XPD.OOPC.PP.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Global Health Expenditure Database, updated December 12th, 2025, World Health Organization (WHO); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); World Bank (WB). Cells with no value are not stored. |
| Domestic private health expenditure (% of current health expenditure) | SH.XPD.PVTD.CH.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Global Health Expenditure Database, updated December 12th, 2025, World Health Organization (WHO); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); World Bank (WB). Cells with no value are not stored. |
| Domestic private health expenditure per capita (current US$) | SH.XPD.PVTD.PC.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Global Health Expenditure Database, updated December 12th, 2025, World Health Organization (WHO); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); World Bank (WB). Cells with no value are not stored. |
| Domestic private health expenditure per capita, PPP (current international $) | SH.XPD.PVTD.PP.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Global Health Expenditure Database, updated December 12th, 2025, World Health Organization (WHO); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO); UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data); World Bank (WB). Cells with no value are not stored. |
World Development Indicators: Health (part 6 of 9)
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Proportion of population facing financial hardship due to out-of-pocket health expenditure (%) | SH_UHC_FH40 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Universal Health Coverage Dataset, World Health Organization (WHO); World Bank (WB); Statistical databases and publications from national statistical offices, National Statistical Offices (NSOs); Demographic Statistics, Eurostat (ESTAT). Cells with no value are not stored. |
| Proportion of population further impoverished due to out-of-pocket health expenditure, based on the societal poverty line (%) | SH_UHC_FH40_FURTHER | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Universal Health Coverage Dataset, World Health Organization (WHO); World Bank (WB); Statistical databases and publications from national statistical offices, National Statistical Offices (NSOs); Demographic Statistics, Eurostat (ESTAT). Cells with no value are not stored. |
| Proportion of population facing impoverishing out-of-pocket health expenditure, based on the societal poverty line (%) | SH_UHC_FH40_IMPOV | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Universal Health Coverage Dataset, World Health Organization (WHO); World Bank (WB); Statistical databases and publications from national statistical offices, National Statistical Offices (NSOs); Demographic Statistics, Eurostat (ESTAT). Cells with no value are not stored. |
| Proportion of population facing large (but non-impoverishing) out-of-pocket health expenditure (%) | SH_UHC_FH40_LARGE | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Universal Health Coverage Dataset, World Health Organization (WHO); World Bank (WB); Statistical databases and publications from national statistical offices, National Statistical Offices (NSOs); Demographic Statistics, Eurostat (ESTAT). Cells with no value are not stored. |
| Proportion of population pushed into poverty (based on the societal poverty line) due to out-of-pocket health expenditure (%) | SH_UHC_FH40_PUSHED | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Universal Health Coverage Dataset, World Health Organization (WHO); World Bank (WB); Statistical databases and publications from national statistical offices, National Statistical Offices (NSOs); Demographic Statistics, Eurostat (ESTAT). Cells with no value are not stored. |
| UHC service coverage index | SH_UHC_SCI | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Universal Health Coverage Dataset, World Health Organization (WHO); World Bank (WB); Statistical databases and publications from national statistical offices, National Statistical Offices (NSOs); Demographic Statistics, Eurostat (ESTAT). Cells with no value are not stored. |
| UHC service coverage sub-index on service capacity and access | SH_UHC_SCI_CAPACITY | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Universal Health Coverage Dataset, World Health Organization (WHO); World Bank (WB); Statistical databases and publications from national statistical offices, National Statistical Offices (NSOs); Demographic Statistics, Eurostat (ESTAT). Cells with no value are not stored. |
| UHC service coverage sub-index on infectious diseases | SH_UHC_SCI_ID | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Universal Health Coverage Dataset, World Health Organization (WHO); World Bank (WB); Statistical databases and publications from national statistical offices, National Statistical Offices (NSOs); Demographic Statistics, Eurostat (ESTAT). Cells with no value are not stored. |
| UHC service coverage sub-index on non-communicable diseases | SH_UHC_SCI_NCD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Universal Health Coverage Dataset, World Health Organization (WHO); World Bank (WB); Statistical databases and publications from national statistical offices, National Statistical Offices (NSOs); Demographic Statistics, Eurostat (ESTAT). Cells with no value are not stored. |
| UHC service coverage sub-index on reproductive, maternal, newborn and child health | SH_UHC_SCI_RMNCH | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Universal Health Coverage Dataset, World Health Organization (WHO); World Bank (WB); Statistical databases and publications from national statistical offices, National Statistical Offices (NSOs); Demographic Statistics, Eurostat (ESTAT). Cells with no value are not stored. |
| Prevalence of undernourishment (% of population) | SN.ITK.DEFC.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Universal Health Coverage Dataset, World Health Organization (WHO); World Bank (WB); Statistical databases and publications from national statistical offices, National Statistical Offices (NSOs); Demographic Statistics, Eurostat (ESTAT). Cells with no value are not stored. |
| Prevalence of moderate or severe food insecurity in the population (%) | SN.ITK.MSFI.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Universal Health Coverage Dataset, World Health Organization (WHO); World Bank (WB); Statistical databases and publications from national statistical offices, National Statistical Offices (NSOs); Demographic Statistics, Eurostat (ESTAT). Cells with no value are not stored. |
| Consumption of iodized salt (% of households) | SN.ITK.SALT.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Universal Health Coverage Dataset, World Health Organization (WHO); World Bank (WB); Statistical databases and publications from national statistical offices, National Statistical Offices (NSOs); Demographic Statistics, Eurostat (ESTAT). Cells with no value are not stored. |
| Prevalence of severe food insecurity in the population (%) | SN.ITK.SVFI.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Universal Health Coverage Dataset, World Health Organization (WHO); World Bank (WB); Statistical databases and publications from national statistical offices, National Statistical Offices (NSOs); Demographic Statistics, Eurostat (ESTAT). Cells with no value are not stored. |
| Vitamin A supplementation coverage rate (% of children ages 6-59 months) | SN.ITK.VITA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Universal Health Coverage Dataset, World Health Organization (WHO); World Bank (WB); Statistical databases and publications from national statistical offices, National Statistical Offices (NSOs); Demographic Statistics, Eurostat (ESTAT). Cells with no value are not stored. |
| Adolescent fertility rate (births per 1,000 women ages 15-19) | SP.ADO.TFRT | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Universal Health Coverage Dataset, World Health Organization (WHO); World Bank (WB); Statistical databases and publications from national statistical offices, National Statistical Offices (NSOs); Demographic Statistics, Eurostat (ESTAT). Cells with no value are not stored. |
| Mortality rate, adult, female (per 1,000 female adults) | SP.DYN.AMRT.FE | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Universal Health Coverage Dataset, World Health Organization (WHO); World Bank (WB); Statistical databases and publications from national statistical offices, National Statistical Offices (NSOs); Demographic Statistics, Eurostat (ESTAT). Cells with no value are not stored. |
| Mortality rate, adult, male (per 1,000 male adults) | SP.DYN.AMRT.MA | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Universal Health Coverage Dataset, World Health Organization (WHO); World Bank (WB); Statistical databases and publications from national statistical offices, National Statistical Offices (NSOs); Demographic Statistics, Eurostat (ESTAT). Cells with no value are not stored. |
| Birth rate, crude (per 1,000 people) | SP.DYN.CBRT.IN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Universal Health Coverage Dataset, World Health Organization (WHO); World Bank (WB); Statistical databases and publications from national statistical offices, National Statistical Offices (NSOs); Demographic Statistics, Eurostat (ESTAT). Cells with no value are not stored. |
| Death rate, crude (per 1,000 people) | SP.DYN.CDRT.IN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Universal Health Coverage Dataset, World Health Organization (WHO); World Bank (WB); Statistical databases and publications from national statistical offices, National Statistical Offices (NSOs); Demographic Statistics, Eurostat (ESTAT). Cells with no value are not stored. |
| Contraceptive prevalence, any modern method (% of married women ages 15-49) | SP.DYN.CONM.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Universal Health Coverage Dataset, World Health Organization (WHO); World Bank (WB); Statistical databases and publications from national statistical offices, National Statistical Offices (NSOs); Demographic Statistics, Eurostat (ESTAT). Cells with no value are not stored. |
| Contraceptive prevalence, any method (% of married women ages 15-49) | SP.DYN.CONU.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Universal Health Coverage Dataset, World Health Organization (WHO); World Bank (WB); Statistical databases and publications from national statistical offices, National Statistical Offices (NSOs); Demographic Statistics, Eurostat (ESTAT). Cells with no value are not stored. |
| Mortality rate, infant, female (per 1,000 live births) | SP.DYN.IMRT.FE.IN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Universal Health Coverage Dataset, World Health Organization (WHO); World Bank (WB); Statistical databases and publications from national statistical offices, National Statistical Offices (NSOs); Demographic Statistics, Eurostat (ESTAT). Cells with no value are not stored. |
| Mortality rate, infant (per 1,000 live births) | SP.DYN.IMRT.IN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Universal Health Coverage Dataset, World Health Organization (WHO); World Bank (WB); Statistical databases and publications from national statistical offices, National Statistical Offices (NSOs); Demographic Statistics, Eurostat (ESTAT). Cells with no value are not stored. |
| Mortality rate, infant, male (per 1,000 live births) | SP.DYN.IMRT.MA.IN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Universal Health Coverage Dataset, World Health Organization (WHO); World Bank (WB); Statistical databases and publications from national statistical offices, National Statistical Offices (NSOs); Demographic Statistics, Eurostat (ESTAT). Cells with no value are not stored. |
| Life expectancy at birth, female (years) | SP.DYN.LE00.FE.IN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Universal Health Coverage Dataset, World Health Organization (WHO); World Bank (WB); Statistical databases and publications from national statistical offices, National Statistical Offices (NSOs); Demographic Statistics, Eurostat (ESTAT). Cells with no value are not stored. |
| Life expectancy at birth, total (years) | SP.DYN.LE00.IN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Universal Health Coverage Dataset, World Health Organization (WHO); World Bank (WB); Statistical databases and publications from national statistical offices, National Statistical Offices (NSOs); Demographic Statistics, Eurostat (ESTAT). Cells with no value are not stored. |
| Life expectancy at birth, male (years) | SP.DYN.LE00.MA.IN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Universal Health Coverage Dataset, World Health Organization (WHO); World Bank (WB); Statistical databases and publications from national statistical offices, National Statistical Offices (NSOs); Demographic Statistics, Eurostat (ESTAT). Cells with no value are not stored. |
| Fertility rate, total (births per woman) | SP.DYN.TFRT.IN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Universal Health Coverage Dataset, World Health Organization (WHO); World Bank (WB); Statistical databases and publications from national statistical offices, National Statistical Offices (NSOs); Demographic Statistics, Eurostat (ESTAT). Cells with no value are not stored. |
| Survival to age 65, female (% of cohort) | SP.DYN.TO65.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Universal Health Coverage Dataset, World Health Organization (WHO); World Bank (WB); Statistical databases and publications from national statistical offices, National Statistical Offices (NSOs); Demographic Statistics, Eurostat (ESTAT). Cells with no value are not stored. |
World Development Indicators: Health (part 7 of 9)
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Survival to age 65, male (% of cohort) | SP.DYN.TO65.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB); DHS API, Demographic and Health Surveys (DHS) Program; Demographic and Health Surveys; UNICEF Data, UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Wanted fertility rate (births per woman) | SP.DYN.WFRT | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB); DHS API, Demographic and Health Surveys (DHS) Program; Demographic and Health Surveys; UNICEF Data, UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Female headed households (% of households with a female head) | SP.HOU.FEMA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB); DHS API, Demographic and Health Surveys (DHS) Program; Demographic and Health Surveys; UNICEF Data, UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Women who were first married by age 15 (% of women ages 20-24) | SP.M15.2024.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB); DHS API, Demographic and Health Surveys (DHS) Program; Demographic and Health Surveys; UNICEF Data, UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Women who were first married by age 18 (% of women ages 20-24) | SP.M18.2024.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB); DHS API, Demographic and Health Surveys (DHS) Program; Demographic and Health Surveys; UNICEF Data, UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Teenage mothers (% of women ages 15-19 who have had children or are currently pregnant) | SP.MTR.1519.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB); DHS API, Demographic and Health Surveys (DHS) Program; Demographic and Health Surveys; UNICEF Data, UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Population ages 00-04, female (% of female population) | SP.POP.0004.FE.5Y | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB); DHS API, Demographic and Health Surveys (DHS) Program; Demographic and Health Surveys; UNICEF Data, UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Population ages 00-04, male (% of male population) | SP.POP.0004.MA.5Y | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB); DHS API, Demographic and Health Surveys (DHS) Program; Demographic and Health Surveys; UNICEF Data, UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Population ages 0-14, female | SP.POP.0014.FE.IN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB); DHS API, Demographic and Health Surveys (DHS) Program; Demographic and Health Surveys; UNICEF Data, UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Population ages 0-14, female (% of female population) | SP.POP.0014.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB); DHS API, Demographic and Health Surveys (DHS) Program; Demographic and Health Surveys; UNICEF Data, UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Population ages 0-14, male | SP.POP.0014.MA.IN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB); DHS API, Demographic and Health Surveys (DHS) Program; Demographic and Health Surveys; UNICEF Data, UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Population ages 0-14, male (% of male population) | SP.POP.0014.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB); DHS API, Demographic and Health Surveys (DHS) Program; Demographic and Health Surveys; UNICEF Data, UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Population ages 0-14, total | SP.POP.0014.TO | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB); DHS API, Demographic and Health Surveys (DHS) Program; Demographic and Health Surveys; UNICEF Data, UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Population ages 05-09, female (% of female population) | SP.POP.0509.FE.5Y | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB); DHS API, Demographic and Health Surveys (DHS) Program; Demographic and Health Surveys; UNICEF Data, UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Population ages 05-09, male (% of male population) | SP.POP.0509.MA.5Y | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB); DHS API, Demographic and Health Surveys (DHS) Program; Demographic and Health Surveys; UNICEF Data, UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Population ages 10-14, female (% of female population) | SP.POP.1014.FE.5Y | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB); DHS API, Demographic and Health Surveys (DHS) Program; Demographic and Health Surveys; UNICEF Data, UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Population ages 10-14, male (% of male population) | SP.POP.1014.MA.5Y | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB); DHS API, Demographic and Health Surveys (DHS) Program; Demographic and Health Surveys; UNICEF Data, UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Population ages 15-19, female (% of female population) | SP.POP.1519.FE.5Y | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB); DHS API, Demographic and Health Surveys (DHS) Program; Demographic and Health Surveys; UNICEF Data, UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Population ages 15-19, male (% of male population) | SP.POP.1519.MA.5Y | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB); DHS API, Demographic and Health Surveys (DHS) Program; Demographic and Health Surveys; UNICEF Data, UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Population ages 15-64, female | SP.POP.1564.FE.IN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB); DHS API, Demographic and Health Surveys (DHS) Program; Demographic and Health Surveys; UNICEF Data, UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Population ages 15-64, female (% of female population) | SP.POP.1564.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB); DHS API, Demographic and Health Surveys (DHS) Program; Demographic and Health Surveys; UNICEF Data, UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Population ages 15-64, male | SP.POP.1564.MA.IN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB); DHS API, Demographic and Health Surveys (DHS) Program; Demographic and Health Surveys; UNICEF Data, UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Population ages 15-64, male (% of male population) | SP.POP.1564.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB); DHS API, Demographic and Health Surveys (DHS) Program; Demographic and Health Surveys; UNICEF Data, UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Population ages 15-64, total | SP.POP.1564.TO | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB); DHS API, Demographic and Health Surveys (DHS) Program; Demographic and Health Surveys; UNICEF Data, UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Population ages 20-24, female (% of female population) | SP.POP.2024.FE.5Y | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB); DHS API, Demographic and Health Surveys (DHS) Program; Demographic and Health Surveys; UNICEF Data, UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Population ages 20-24, male (% of male population) | SP.POP.2024.MA.5Y | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB); DHS API, Demographic and Health Surveys (DHS) Program; Demographic and Health Surveys; UNICEF Data, UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Population ages 25-29, female (% of female population) | SP.POP.2529.FE.5Y | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB); DHS API, Demographic and Health Surveys (DHS) Program; Demographic and Health Surveys; UNICEF Data, UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Population ages 25-29, male (% of male population) | SP.POP.2529.MA.5Y | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB); DHS API, Demographic and Health Surveys (DHS) Program; Demographic and Health Surveys; UNICEF Data, UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Population ages 30-34, female (% of female population) | SP.POP.3034.FE.5Y | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB); DHS API, Demographic and Health Surveys (DHS) Program; Demographic and Health Surveys; UNICEF Data, UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Population ages 30-34, male (% of male population) | SP.POP.3034.MA.5Y | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB); DHS API, Demographic and Health Surveys (DHS) Program; Demographic and Health Surveys; UNICEF Data, UN Children's Fund (UNICEF). Cells with no value are not stored. |
World Development Indicators: Health (part 8 of 9)
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Population ages 35-39, female (% of female population) | SP.POP.3539.FE.5Y | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Population ages 35-39, male (% of male population) | SP.POP.3539.MA.5Y | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Population ages 40-44, female (% of female population) | SP.POP.4044.FE.5Y | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Population ages 40-44, male (% of male population) | SP.POP.4044.MA.5Y | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Population ages 45-49, female (% of female population) | SP.POP.4549.FE.5Y | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Population ages 45-49, male (% of male population) | SP.POP.4549.MA.5Y | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Population ages 50-54, female (% of female population) | SP.POP.5054.FE.5Y | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Population ages 50-54, male (% of male population) | SP.POP.5054.MA.5Y | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Population ages 55-59, female (% of female population) | SP.POP.5559.FE.5Y | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Population ages 55-59, male (% of male population) | SP.POP.5559.MA.5Y | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Population ages 60-64, female (% of female population) | SP.POP.6064.FE.5Y | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Population ages 60-64, male (% of male population) | SP.POP.6064.MA.5Y | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Population ages 65-69, female (% of female population) | SP.POP.6569.FE.5Y | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Population ages 65-69, male (% of male population) | SP.POP.6569.MA.5Y | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Population ages 65 and above, female | SP.POP.65UP.FE.IN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Population ages 65 and above, female (% of female population) | SP.POP.65UP.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Population ages 65 and above, male | SP.POP.65UP.MA.IN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Population ages 65 and above, male (% of male population) | SP.POP.65UP.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Population ages 65 and above, total | SP.POP.65UP.TO | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Population ages 65 and above (% of total population) | SP.POP.65UP.TO.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Population ages 70-74, female (% of female population) | SP.POP.7074.FE.5Y | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Population ages 70-74, male (% of male population) | SP.POP.7074.MA.5Y | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Population ages 75-79, female (% of female population) | SP.POP.7579.FE.5Y | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Population ages 75-79, male (% of male population) | SP.POP.7579.MA.5Y | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Population ages 80 and above, female (% of female population) | SP.POP.80UP.FE.5Y | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Population ages 80 and above, male (% of male population) | SP.POP.80UP.MA.5Y | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Sex ratio at birth (male births per female births) | SP.POP.BRTH.MF | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Age dependency ratio (% of working-age population) | SP.POP.DPND | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Age dependency ratio, old (% of working-age population) | SP.POP.DPND.OL | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Age dependency ratio, young (% of working-age population) | SP.POP.DPND.YG | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB). Cells with no value are not stored. |
World Development Indicators: Health (part 9 of 9)
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Population, female | SP.POP.TOTL.FE.IN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Household surveys, UN Children's Fund (UNICEF); World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB); Global Health Observatory Data Repository/World Health Statistics, World Health Organization (WHO); Household surveys, United Nations (UN). Cells with no value are not stored. |
| Population, female (% of total population) | SP.POP.TOTL.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Household surveys, UN Children's Fund (UNICEF); World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB); Global Health Observatory Data Repository/World Health Statistics, World Health Organization (WHO); Household surveys, United Nations (UN). Cells with no value are not stored. |
| Population, male | SP.POP.TOTL.MA.IN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Household surveys, UN Children's Fund (UNICEF); World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB); Global Health Observatory Data Repository/World Health Statistics, World Health Organization (WHO); Household surveys, United Nations (UN). Cells with no value are not stored. |
| Population, male (% of total population) | SP.POP.TOTL.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Household surveys, UN Children's Fund (UNICEF); World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB); Global Health Observatory Data Repository/World Health Statistics, World Health Organization (WHO); Household surveys, United Nations (UN). Cells with no value are not stored. |
| Completeness of birth registration, female (%) | SP.REG.BRTH.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Household surveys, UN Children's Fund (UNICEF); World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB); Global Health Observatory Data Repository/World Health Statistics, World Health Organization (WHO); Household surveys, United Nations (UN). Cells with no value are not stored. |
| Completeness of birth registration, male (%) | SP.REG.BRTH.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Household surveys, UN Children's Fund (UNICEF); World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB); Global Health Observatory Data Repository/World Health Statistics, World Health Organization (WHO); Household surveys, United Nations (UN). Cells with no value are not stored. |
| Completeness of birth registration, rural (%) | SP.REG.BRTH.RU.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Household surveys, UN Children's Fund (UNICEF); World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB); Global Health Observatory Data Repository/World Health Statistics, World Health Organization (WHO); Household surveys, United Nations (UN). Cells with no value are not stored. |
| Completeness of birth registration, urban (%) | SP.REG.BRTH.UR.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Household surveys, UN Children's Fund (UNICEF); World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB); Global Health Observatory Data Repository/World Health Statistics, World Health Organization (WHO); Household surveys, United Nations (UN). Cells with no value are not stored. |
| Completeness of birth registration (%) | SP.REG.BRTH.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Household surveys, UN Children's Fund (UNICEF); World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB); Global Health Observatory Data Repository/World Health Statistics, World Health Organization (WHO); Household surveys, United Nations (UN). Cells with no value are not stored. |
| Completeness of death registration with cause-of-death information (%) | SP.REG.DTHS.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Household surveys, UN Children's Fund (UNICEF); World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB); Global Health Observatory Data Repository/World Health Statistics, World Health Organization (WHO); Household surveys, United Nations (UN). Cells with no value are not stored. |
| Unmet need for contraception (% of married women ages 15-49) | SP.UWT.TFRT | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Household surveys, UN Children's Fund (UNICEF); World Population Prospects, United Nations (UN); Staff estimates, World Bank (WB); Global Health Observatory Data Repository/World Health Statistics, World Health Organization (WHO); Household surveys, United Nations (UN). Cells with no value are not stored. |
World Development Indicators: Infrastructure (part 1 of 2)
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Annual freshwater withdrawals, domestic (% of total freshwater withdrawal) | ER.H2O.FWDM.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Private Participation in Infrastructure Project Database, World Bank (WB); World Telecommunication/ICT Indicators Database, International Telecommunication Union (ITU); AQUASTAT - FAO's Global Information System on Water and Agriculture, Food and Agriculture Organization of the United Nations (FAO); Statistics Database, World Intellectual Property Organization (WIPO); Civil Aviation Statistics of the World, International Civil Aviation Organization (ICAO). Cells with no value are not stored. |
| Annual freshwater withdrawals, industry (% of total freshwater withdrawal) | ER.H2O.FWIN.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Private Participation in Infrastructure Project Database, World Bank (WB); World Telecommunication/ICT Indicators Database, International Telecommunication Union (ITU); AQUASTAT - FAO's Global Information System on Water and Agriculture, Food and Agriculture Organization of the United Nations (FAO); Statistics Database, World Intellectual Property Organization (WIPO); Civil Aviation Statistics of the World, International Civil Aviation Organization (ICAO). Cells with no value are not stored. |
| Renewable internal freshwater resources, total (billion cubic meters) | ER.H2O.INTR.K3 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Private Participation in Infrastructure Project Database, World Bank (WB); World Telecommunication/ICT Indicators Database, International Telecommunication Union (ITU); AQUASTAT - FAO's Global Information System on Water and Agriculture, Food and Agriculture Organization of the United Nations (FAO); Statistics Database, World Intellectual Property Organization (WIPO); Civil Aviation Statistics of the World, International Civil Aviation Organization (ICAO). Cells with no value are not stored. |
| Renewable internal freshwater resources per capita (cubic meters) | ER.H2O.INTR.PC | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Private Participation in Infrastructure Project Database, World Bank (WB); World Telecommunication/ICT Indicators Database, International Telecommunication Union (ITU); AQUASTAT - FAO's Global Information System on Water and Agriculture, Food and Agriculture Organization of the United Nations (FAO); Statistics Database, World Intellectual Property Organization (WIPO); Civil Aviation Statistics of the World, International Civil Aviation Organization (ICAO). Cells with no value are not stored. |
| Investment in ICT with private participation (current US$) | IE.PPI.ICTI.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Private Participation in Infrastructure Project Database, World Bank (WB); World Telecommunication/ICT Indicators Database, International Telecommunication Union (ITU); AQUASTAT - FAO's Global Information System on Water and Agriculture, Food and Agriculture Organization of the United Nations (FAO); Statistics Database, World Intellectual Property Organization (WIPO); Civil Aviation Statistics of the World, International Civil Aviation Organization (ICAO). Cells with no value are not stored. |
| Investment in transport with private participation (current US$) | IE.PPI.TRAN.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Private Participation in Infrastructure Project Database, World Bank (WB); World Telecommunication/ICT Indicators Database, International Telecommunication Union (ITU); AQUASTAT - FAO's Global Information System on Water and Agriculture, Food and Agriculture Organization of the United Nations (FAO); Statistics Database, World Intellectual Property Organization (WIPO); Civil Aviation Statistics of the World, International Civil Aviation Organization (ICAO). Cells with no value are not stored. |
| Investment in water and sanitation with private participation (current US$) | IE.PPI.WATR.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Private Participation in Infrastructure Project Database, World Bank (WB); World Telecommunication/ICT Indicators Database, International Telecommunication Union (ITU); AQUASTAT - FAO's Global Information System on Water and Agriculture, Food and Agriculture Organization of the United Nations (FAO); Statistics Database, World Intellectual Property Organization (WIPO); Civil Aviation Statistics of the World, International Civil Aviation Organization (ICAO). Cells with no value are not stored. |
| Public private partnerships investment in energy (current US$) | IE.PPN.ENGY.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Private Participation in Infrastructure Project Database, World Bank (WB); World Telecommunication/ICT Indicators Database, International Telecommunication Union (ITU); AQUASTAT - FAO's Global Information System on Water and Agriculture, Food and Agriculture Organization of the United Nations (FAO); Statistics Database, World Intellectual Property Organization (WIPO); Civil Aviation Statistics of the World, International Civil Aviation Organization (ICAO). Cells with no value are not stored. |
| Public private partnerships investment in ICT (current US$) | IE.PPN.ICTI.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Private Participation in Infrastructure Project Database, World Bank (WB); World Telecommunication/ICT Indicators Database, International Telecommunication Union (ITU); AQUASTAT - FAO's Global Information System on Water and Agriculture, Food and Agriculture Organization of the United Nations (FAO); Statistics Database, World Intellectual Property Organization (WIPO); Civil Aviation Statistics of the World, International Civil Aviation Organization (ICAO). Cells with no value are not stored. |
| Public private partnerships investment in transport (current US$) | IE.PPN.TRAN.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Private Participation in Infrastructure Project Database, World Bank (WB); World Telecommunication/ICT Indicators Database, International Telecommunication Union (ITU); AQUASTAT - FAO's Global Information System on Water and Agriculture, Food and Agriculture Organization of the United Nations (FAO); Statistics Database, World Intellectual Property Organization (WIPO); Civil Aviation Statistics of the World, International Civil Aviation Organization (ICAO). Cells with no value are not stored. |
| Public private partnerships investment in water and sanitation (current US$) | IE.PPN.WATR.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Private Participation in Infrastructure Project Database, World Bank (WB); World Telecommunication/ICT Indicators Database, International Telecommunication Union (ITU); AQUASTAT - FAO's Global Information System on Water and Agriculture, Food and Agriculture Organization of the United Nations (FAO); Statistics Database, World Intellectual Property Organization (WIPO); Civil Aviation Statistics of the World, International Civil Aviation Organization (ICAO). Cells with no value are not stored. |
| Industrial design applications, nonresident, by count | IP.IDS.NRCT | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Private Participation in Infrastructure Project Database, World Bank (WB); World Telecommunication/ICT Indicators Database, International Telecommunication Union (ITU); AQUASTAT - FAO's Global Information System on Water and Agriculture, Food and Agriculture Organization of the United Nations (FAO); Statistics Database, World Intellectual Property Organization (WIPO); Civil Aviation Statistics of the World, International Civil Aviation Organization (ICAO). Cells with no value are not stored. |
| Industrial design applications, resident, by count | IP.IDS.RSCT | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Private Participation in Infrastructure Project Database, World Bank (WB); World Telecommunication/ICT Indicators Database, International Telecommunication Union (ITU); AQUASTAT - FAO's Global Information System on Water and Agriculture, Food and Agriculture Organization of the United Nations (FAO); Statistics Database, World Intellectual Property Organization (WIPO); Civil Aviation Statistics of the World, International Civil Aviation Organization (ICAO). Cells with no value are not stored. |
| Trademark applications, nonresident, by count | IP.TMK.NRCT | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Private Participation in Infrastructure Project Database, World Bank (WB); World Telecommunication/ICT Indicators Database, International Telecommunication Union (ITU); AQUASTAT - FAO's Global Information System on Water and Agriculture, Food and Agriculture Organization of the United Nations (FAO); Statistics Database, World Intellectual Property Organization (WIPO); Civil Aviation Statistics of the World, International Civil Aviation Organization (ICAO). Cells with no value are not stored. |
| Trademark applications, resident, by count | IP.TMK.RSCT | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Private Participation in Infrastructure Project Database, World Bank (WB); World Telecommunication/ICT Indicators Database, International Telecommunication Union (ITU); AQUASTAT - FAO's Global Information System on Water and Agriculture, Food and Agriculture Organization of the United Nations (FAO); Statistics Database, World Intellectual Property Organization (WIPO); Civil Aviation Statistics of the World, International Civil Aviation Organization (ICAO). Cells with no value are not stored. |
| Air transport, registered carrier departures worldwide | IS.AIR.DPRT | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Private Participation in Infrastructure Project Database, World Bank (WB); World Telecommunication/ICT Indicators Database, International Telecommunication Union (ITU); AQUASTAT - FAO's Global Information System on Water and Agriculture, Food and Agriculture Organization of the United Nations (FAO); Statistics Database, World Intellectual Property Organization (WIPO); Civil Aviation Statistics of the World, International Civil Aviation Organization (ICAO). Cells with no value are not stored. |
| Air transport, freight (million ton-km) | IS.AIR.GOOD.MT.K1 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Private Participation in Infrastructure Project Database, World Bank (WB); World Telecommunication/ICT Indicators Database, International Telecommunication Union (ITU); AQUASTAT - FAO's Global Information System on Water and Agriculture, Food and Agriculture Organization of the United Nations (FAO); Statistics Database, World Intellectual Property Organization (WIPO); Civil Aviation Statistics of the World, International Civil Aviation Organization (ICAO). Cells with no value are not stored. |
| Air transport, passengers carried | IS.AIR.PSGR | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Private Participation in Infrastructure Project Database, World Bank (WB); World Telecommunication/ICT Indicators Database, International Telecommunication Union (ITU); AQUASTAT - FAO's Global Information System on Water and Agriculture, Food and Agriculture Organization of the United Nations (FAO); Statistics Database, World Intellectual Property Organization (WIPO); Civil Aviation Statistics of the World, International Civil Aviation Organization (ICAO). Cells with no value are not stored. |
| Railways, goods transported (million ton-km) | IS.RRS.GOOD.MT.K6 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Private Participation in Infrastructure Project Database, World Bank (WB); World Telecommunication/ICT Indicators Database, International Telecommunication Union (ITU); AQUASTAT - FAO's Global Information System on Water and Agriculture, Food and Agriculture Organization of the United Nations (FAO); Statistics Database, World Intellectual Property Organization (WIPO); Civil Aviation Statistics of the World, International Civil Aviation Organization (ICAO). Cells with no value are not stored. |
| Railways, passengers carried (million passenger-km) | IS.RRS.PASG.KM | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Private Participation in Infrastructure Project Database, World Bank (WB); World Telecommunication/ICT Indicators Database, International Telecommunication Union (ITU); AQUASTAT - FAO's Global Information System on Water and Agriculture, Food and Agriculture Organization of the United Nations (FAO); Statistics Database, World Intellectual Property Organization (WIPO); Civil Aviation Statistics of the World, International Civil Aviation Organization (ICAO). Cells with no value are not stored. |
| Rail lines (total route-km) | IS.RRS.TOTL.KM | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Private Participation in Infrastructure Project Database, World Bank (WB); World Telecommunication/ICT Indicators Database, International Telecommunication Union (ITU); AQUASTAT - FAO's Global Information System on Water and Agriculture, Food and Agriculture Organization of the United Nations (FAO); Statistics Database, World Intellectual Property Organization (WIPO); Civil Aviation Statistics of the World, International Civil Aviation Organization (ICAO). Cells with no value are not stored. |
| Liner shipping connectivity index (maximum value in 2004 = 100) | IS.SHP.GCNW.XQ | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Private Participation in Infrastructure Project Database, World Bank (WB); World Telecommunication/ICT Indicators Database, International Telecommunication Union (ITU); AQUASTAT - FAO's Global Information System on Water and Agriculture, Food and Agriculture Organization of the United Nations (FAO); Statistics Database, World Intellectual Property Organization (WIPO); Civil Aviation Statistics of the World, International Civil Aviation Organization (ICAO). Cells with no value are not stored. |
| Container port traffic (TEU: 20 foot equivalent units) | IS.SHP.GOOD.TU | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Private Participation in Infrastructure Project Database, World Bank (WB); World Telecommunication/ICT Indicators Database, International Telecommunication Union (ITU); AQUASTAT - FAO's Global Information System on Water and Agriculture, Food and Agriculture Organization of the United Nations (FAO); Statistics Database, World Intellectual Property Organization (WIPO); Civil Aviation Statistics of the World, International Civil Aviation Organization (ICAO). Cells with no value are not stored. |
| Mobile cellular subscriptions | IT.CEL.SETS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Private Participation in Infrastructure Project Database, World Bank (WB); World Telecommunication/ICT Indicators Database, International Telecommunication Union (ITU); AQUASTAT - FAO's Global Information System on Water and Agriculture, Food and Agriculture Organization of the United Nations (FAO); Statistics Database, World Intellectual Property Organization (WIPO); Civil Aviation Statistics of the World, International Civil Aviation Organization (ICAO). Cells with no value are not stored. |
| Mobile cellular subscriptions (per 100 people) | IT.CEL.SETS.P2 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Private Participation in Infrastructure Project Database, World Bank (WB); World Telecommunication/ICT Indicators Database, International Telecommunication Union (ITU); AQUASTAT - FAO's Global Information System on Water and Agriculture, Food and Agriculture Organization of the United Nations (FAO); Statistics Database, World Intellectual Property Organization (WIPO); Civil Aviation Statistics of the World, International Civil Aviation Organization (ICAO). Cells with no value are not stored. |
| Fixed telephone subscriptions | IT.MLT.MAIN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Private Participation in Infrastructure Project Database, World Bank (WB); World Telecommunication/ICT Indicators Database, International Telecommunication Union (ITU); AQUASTAT - FAO's Global Information System on Water and Agriculture, Food and Agriculture Organization of the United Nations (FAO); Statistics Database, World Intellectual Property Organization (WIPO); Civil Aviation Statistics of the World, International Civil Aviation Organization (ICAO). Cells with no value are not stored. |
| Fixed telephone subscriptions (per 100 people) | IT.MLT.MAIN.P2 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Private Participation in Infrastructure Project Database, World Bank (WB); World Telecommunication/ICT Indicators Database, International Telecommunication Union (ITU); AQUASTAT - FAO's Global Information System on Water and Agriculture, Food and Agriculture Organization of the United Nations (FAO); Statistics Database, World Intellectual Property Organization (WIPO); Civil Aviation Statistics of the World, International Civil Aviation Organization (ICAO). Cells with no value are not stored. |
| Fixed broadband subscriptions | IT.NET.BBND | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Private Participation in Infrastructure Project Database, World Bank (WB); World Telecommunication/ICT Indicators Database, International Telecommunication Union (ITU); AQUASTAT - FAO's Global Information System on Water and Agriculture, Food and Agriculture Organization of the United Nations (FAO); Statistics Database, World Intellectual Property Organization (WIPO); Civil Aviation Statistics of the World, International Civil Aviation Organization (ICAO). Cells with no value are not stored. |
| Fixed broadband subscriptions (per 100 people) | IT.NET.BBND.P2 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Private Participation in Infrastructure Project Database, World Bank (WB); World Telecommunication/ICT Indicators Database, International Telecommunication Union (ITU); AQUASTAT - FAO's Global Information System on Water and Agriculture, Food and Agriculture Organization of the United Nations (FAO); Statistics Database, World Intellectual Property Organization (WIPO); Civil Aviation Statistics of the World, International Civil Aviation Organization (ICAO). Cells with no value are not stored. |
| Secure Internet servers | IT.NET.SECR | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Private Participation in Infrastructure Project Database, World Bank (WB); World Telecommunication/ICT Indicators Database, International Telecommunication Union (ITU); AQUASTAT - FAO's Global Information System on Water and Agriculture, Food and Agriculture Organization of the United Nations (FAO); Statistics Database, World Intellectual Property Organization (WIPO); Civil Aviation Statistics of the World, International Civil Aviation Organization (ICAO). Cells with no value are not stored. |
World Development Indicators: Infrastructure (part 2 of 2)
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Secure Internet servers (per 1 million people) | IT.NET.SECR.P6 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Telecommunication/ICT Indicators Database, International Telecommunication Union (ITU); UNCTADstat database, UN Conference on Trade and Development (UNCTAD); Secure Server Survey, Netcraft; World Bank population estimates, World Bank (WB). Cells with no value are not stored. |
| Individuals using the Internet, female (% of female population) | IT.NET.USER.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Telecommunication/ICT Indicators Database, International Telecommunication Union (ITU); UNCTADstat database, UN Conference on Trade and Development (UNCTAD); Secure Server Survey, Netcraft; World Bank population estimates, World Bank (WB). Cells with no value are not stored. |
| Individuals using the Internet, male (% of male population) | IT.NET.USER.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Telecommunication/ICT Indicators Database, International Telecommunication Union (ITU); UNCTADstat database, UN Conference on Trade and Development (UNCTAD); Secure Server Survey, Netcraft; World Bank population estimates, World Bank (WB). Cells with no value are not stored. |
| Individuals using the Internet (% of population) | IT.NET.USER.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Telecommunication/ICT Indicators Database, International Telecommunication Union (ITU); UNCTADstat database, UN Conference on Trade and Development (UNCTAD); Secure Server Survey, Netcraft; World Bank population estimates, World Bank (WB). Cells with no value are not stored. |
| ICT goods imports (% total goods imports) | TM.VAL.ICTG.ZS.UN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Telecommunication/ICT Indicators Database, International Telecommunication Union (ITU); UNCTADstat database, UN Conference on Trade and Development (UNCTAD); Secure Server Survey, Netcraft; World Bank population estimates, World Bank (WB). Cells with no value are not stored. |
| ICT goods exports (% of total goods exports) | TX.VAL.ICTG.ZS.UN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Telecommunication/ICT Indicators Database, International Telecommunication Union (ITU); UNCTADstat database, UN Conference on Trade and Development (UNCTAD); Secure Server Survey, Netcraft; World Bank population estimates, World Bank (WB). Cells with no value are not stored. |
World Development Indicators: Millennium development goals
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Net ODA provided, to the least developed countries (current US$) | DC.ODA.TLDC.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net ODA provided to the least developed countries (% of GNI) | DC.ODA.TLDC.GN.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net ODA provided, total (current US$) | DC.ODA.TOTL.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net ODA provided, total (% of GNI) | DC.ODA.TOTL.GN.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
| Net ODA provided, total (constant 2023 US$) | DC.ODA.TOTL.KD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Development Assistance Committee, Organisation for Economic Co-operation and Development (OECD); Geographical Distribution of Financial Flows to Developing Countries, Organisation for Economic Co-operation and Development (OECD); Development Co-operation Report, Organisation for Economic Co-operation and Development (OECD); International Development Statistics database, Organisation for Economic Co-operation and Development (OECD). Cells with no value are not stored. |
World Development Indicators: Poverty
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Population living in slums (% of urban population) | EN.POP.SLUM.UR.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departme; Urban Indicators Database, UN Human Settlements Programme (UN-Habitat); Alkire, S., Mishra, R., Selden, L. and Suppa, N. (2025). ‘The global Multidimensional Poverty Index (MPI) 2025: Country results and methodological note’, OPHI MPI Methodo; World Bank, Poverty and Inequality Platform. Data are compiled from official government sources or are computed by World Bank staff using national (i.e. country–specific). Cells with no value are not stored. |
| Income share held by second 20% | SI.DST.02ND.20 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departme; Urban Indicators Database, UN Human Settlements Programme (UN-Habitat); Alkire, S., Mishra, R., Selden, L. and Suppa, N. (2025). ‘The global Multidimensional Poverty Index (MPI) 2025: Country results and methodological note’, OPHI MPI Methodo; World Bank, Poverty and Inequality Platform. Data are compiled from official government sources or are computed by World Bank staff using national (i.e. country–specific). Cells with no value are not stored. |
| Income share held by third 20% | SI.DST.03RD.20 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departme; Urban Indicators Database, UN Human Settlements Programme (UN-Habitat); Alkire, S., Mishra, R., Selden, L. and Suppa, N. (2025). ‘The global Multidimensional Poverty Index (MPI) 2025: Country results and methodological note’, OPHI MPI Methodo; World Bank, Poverty and Inequality Platform. Data are compiled from official government sources or are computed by World Bank staff using national (i.e. country–specific). Cells with no value are not stored. |
| Income share held by fourth 20% | SI.DST.04TH.20 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departme; Urban Indicators Database, UN Human Settlements Programme (UN-Habitat); Alkire, S., Mishra, R., Selden, L. and Suppa, N. (2025). ‘The global Multidimensional Poverty Index (MPI) 2025: Country results and methodological note’, OPHI MPI Methodo; World Bank, Poverty and Inequality Platform. Data are compiled from official government sources or are computed by World Bank staff using national (i.e. country–specific). Cells with no value are not stored. |
| Income share held by highest 20% | SI.DST.05TH.20 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departme; Urban Indicators Database, UN Human Settlements Programme (UN-Habitat); Alkire, S., Mishra, R., Selden, L. and Suppa, N. (2025). ‘The global Multidimensional Poverty Index (MPI) 2025: Country results and methodological note’, OPHI MPI Methodo; World Bank, Poverty and Inequality Platform. Data are compiled from official government sources or are computed by World Bank staff using national (i.e. country–specific). Cells with no value are not stored. |
| Income share held by highest 10% | SI.DST.10TH.10 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departme; Urban Indicators Database, UN Human Settlements Programme (UN-Habitat); Alkire, S., Mishra, R., Selden, L. and Suppa, N. (2025). ‘The global Multidimensional Poverty Index (MPI) 2025: Country results and methodological note’, OPHI MPI Methodo; World Bank, Poverty and Inequality Platform. Data are compiled from official government sources or are computed by World Bank staff using national (i.e. country–specific). Cells with no value are not stored. |
| Proportion of people living below 50 percent of median income (%) | SI.DST.50MD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departme; Urban Indicators Database, UN Human Settlements Programme (UN-Habitat); Alkire, S., Mishra, R., Selden, L. and Suppa, N. (2025). ‘The global Multidimensional Poverty Index (MPI) 2025: Country results and methodological note’, OPHI MPI Methodo; World Bank, Poverty and Inequality Platform. Data are compiled from official government sources or are computed by World Bank staff using national (i.e. country–specific). Cells with no value are not stored. |
| Income share held by lowest 10% | SI.DST.FRST.10 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departme; Urban Indicators Database, UN Human Settlements Programme (UN-Habitat); Alkire, S., Mishra, R., Selden, L. and Suppa, N. (2025). ‘The global Multidimensional Poverty Index (MPI) 2025: Country results and methodological note’, OPHI MPI Methodo; World Bank, Poverty and Inequality Platform. Data are compiled from official government sources or are computed by World Bank staff using national (i.e. country–specific). Cells with no value are not stored. |
| Income share held by lowest 20% | SI.DST.FRST.20 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departme; Urban Indicators Database, UN Human Settlements Programme (UN-Habitat); Alkire, S., Mishra, R., Selden, L. and Suppa, N. (2025). ‘The global Multidimensional Poverty Index (MPI) 2025: Country results and methodological note’, OPHI MPI Methodo; World Bank, Poverty and Inequality Platform. Data are compiled from official government sources or are computed by World Bank staff using national (i.e. country–specific). Cells with no value are not stored. |
| Poverty headcount ratio at $3.00 a day (2021 PPP) (% of population) | SI.POV.DDAY | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departme; Urban Indicators Database, UN Human Settlements Programme (UN-Habitat); Alkire, S., Mishra, R., Selden, L. and Suppa, N. (2025). ‘The global Multidimensional Poverty Index (MPI) 2025: Country results and methodological note’, OPHI MPI Methodo; World Bank, Poverty and Inequality Platform. Data are compiled from official government sources or are computed by World Bank staff using national (i.e. country–specific). Cells with no value are not stored. |
| Poverty gap at $3.00 a day (2021 PPP) (%) | SI.POV.GAPS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departme; Urban Indicators Database, UN Human Settlements Programme (UN-Habitat); Alkire, S., Mishra, R., Selden, L. and Suppa, N. (2025). ‘The global Multidimensional Poverty Index (MPI) 2025: Country results and methodological note’, OPHI MPI Methodo; World Bank, Poverty and Inequality Platform. Data are compiled from official government sources or are computed by World Bank staff using national (i.e. country–specific). Cells with no value are not stored. |
| Gini index | SI.POV.GINI | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departme; Urban Indicators Database, UN Human Settlements Programme (UN-Habitat); Alkire, S., Mishra, R., Selden, L. and Suppa, N. (2025). ‘The global Multidimensional Poverty Index (MPI) 2025: Country results and methodological note’, OPHI MPI Methodo; World Bank, Poverty and Inequality Platform. Data are compiled from official government sources or are computed by World Bank staff using national (i.e. country–specific). Cells with no value are not stored. |
| Poverty headcount ratio at $4.20 a day (2021 PPP) (% of population) | SI.POV.LMIC | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departme; Urban Indicators Database, UN Human Settlements Programme (UN-Habitat); Alkire, S., Mishra, R., Selden, L. and Suppa, N. (2025). ‘The global Multidimensional Poverty Index (MPI) 2025: Country results and methodological note’, OPHI MPI Methodo; World Bank, Poverty and Inequality Platform. Data are compiled from official government sources or are computed by World Bank staff using national (i.e. country–specific). Cells with no value are not stored. |
| Poverty gap at $4.20 a day (2021 PPP) (%) | SI.POV.LMIC.GP | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departme; Urban Indicators Database, UN Human Settlements Programme (UN-Habitat); Alkire, S., Mishra, R., Selden, L. and Suppa, N. (2025). ‘The global Multidimensional Poverty Index (MPI) 2025: Country results and methodological note’, OPHI MPI Methodo; World Bank, Poverty and Inequality Platform. Data are compiled from official government sources or are computed by World Bank staff using national (i.e. country–specific). Cells with no value are not stored. |
| Multidimensional poverty headcount ratio (UNDP & OPHI) (% of population) | SI.POV.MPUN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departme; Urban Indicators Database, UN Human Settlements Programme (UN-Habitat); Alkire, S., Mishra, R., Selden, L. and Suppa, N. (2025). ‘The global Multidimensional Poverty Index (MPI) 2025: Country results and methodological note’, OPHI MPI Methodo; World Bank, Poverty and Inequality Platform. Data are compiled from official government sources or are computed by World Bank staff using national (i.e. country–specific). Cells with no value are not stored. |
| Multidimensional poverty headcount ratio (World Bank) (% of population) | SI.POV.MPWB | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departme; Urban Indicators Database, UN Human Settlements Programme (UN-Habitat); Alkire, S., Mishra, R., Selden, L. and Suppa, N. (2025). ‘The global Multidimensional Poverty Index (MPI) 2025: Country results and methodological note’, OPHI MPI Methodo; World Bank, Poverty and Inequality Platform. Data are compiled from official government sources or are computed by World Bank staff using national (i.e. country–specific). Cells with no value are not stored. |
| Poverty headcount ratio at national poverty lines (% of population) | SI.POV.NAHC | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departme; Urban Indicators Database, UN Human Settlements Programme (UN-Habitat); Alkire, S., Mishra, R., Selden, L. and Suppa, N. (2025). ‘The global Multidimensional Poverty Index (MPI) 2025: Country results and methodological note’, OPHI MPI Methodo; World Bank, Poverty and Inequality Platform. Data are compiled from official government sources or are computed by World Bank staff using national (i.e. country–specific). Cells with no value are not stored. |
| Poverty headcount ratio at societal poverty line (% of population) | SI.POV.SOPO | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departme; Urban Indicators Database, UN Human Settlements Programme (UN-Habitat); Alkire, S., Mishra, R., Selden, L. and Suppa, N. (2025). ‘The global Multidimensional Poverty Index (MPI) 2025: Country results and methodological note’, OPHI MPI Methodo; World Bank, Poverty and Inequality Platform. Data are compiled from official government sources or are computed by World Bank staff using national (i.e. country–specific). Cells with no value are not stored. |
| Poverty headcount ratio at $8.30 a day (2021 PPP) (% of population) | SI.POV.UMIC | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departme; Urban Indicators Database, UN Human Settlements Programme (UN-Habitat); Alkire, S., Mishra, R., Selden, L. and Suppa, N. (2025). ‘The global Multidimensional Poverty Index (MPI) 2025: Country results and methodological note’, OPHI MPI Methodo; World Bank, Poverty and Inequality Platform. Data are compiled from official government sources or are computed by World Bank staff using national (i.e. country–specific). Cells with no value are not stored. |
| Poverty gap at $8.30 a day (2021 PPP) (%) | SI.POV.UMIC.GP | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departme; Urban Indicators Database, UN Human Settlements Programme (UN-Habitat); Alkire, S., Mishra, R., Selden, L. and Suppa, N. (2025). ‘The global Multidimensional Poverty Index (MPI) 2025: Country results and methodological note’, OPHI MPI Methodo; World Bank, Poverty and Inequality Platform. Data are compiled from official government sources or are computed by World Bank staff using national (i.e. country–specific). Cells with no value are not stored. |
| Survey mean consumption or income per capita, bottom 40% of population (2021 PPP $ per day) | SI.SPR.PC40 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departme; Urban Indicators Database, UN Human Settlements Programme (UN-Habitat); Alkire, S., Mishra, R., Selden, L. and Suppa, N. (2025). ‘The global Multidimensional Poverty Index (MPI) 2025: Country results and methodological note’, OPHI MPI Methodo; World Bank, Poverty and Inequality Platform. Data are compiled from official government sources or are computed by World Bank staff using national (i.e. country–specific). Cells with no value are not stored. |
| Annualized average growth rate in per capita real survey mean consumption or income, bottom 40% of population (%) | SI.SPR.PC40.ZG | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departme; Urban Indicators Database, UN Human Settlements Programme (UN-Habitat); Alkire, S., Mishra, R., Selden, L. and Suppa, N. (2025). ‘The global Multidimensional Poverty Index (MPI) 2025: Country results and methodological note’, OPHI MPI Methodo; World Bank, Poverty and Inequality Platform. Data are compiled from official government sources or are computed by World Bank staff using national (i.e. country–specific). Cells with no value are not stored. |
| Survey mean consumption or income per capita, total population (2021 PPP $ per day) | SI.SPR.PCAP | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departme; Urban Indicators Database, UN Human Settlements Programme (UN-Habitat); Alkire, S., Mishra, R., Selden, L. and Suppa, N. (2025). ‘The global Multidimensional Poverty Index (MPI) 2025: Country results and methodological note’, OPHI MPI Methodo; World Bank, Poverty and Inequality Platform. Data are compiled from official government sources or are computed by World Bank staff using national (i.e. country–specific). Cells with no value are not stored. |
| Annualized average growth rate in per capita real survey mean consumption or income, total population (%) | SI.SPR.PCAP.ZG | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departme; Urban Indicators Database, UN Human Settlements Programme (UN-Habitat); Alkire, S., Mishra, R., Selden, L. and Suppa, N. (2025). ‘The global Multidimensional Poverty Index (MPI) 2025: Country results and methodological note’, OPHI MPI Methodo; World Bank, Poverty and Inequality Platform. Data are compiled from official government sources or are computed by World Bank staff using national (i.e. country–specific). Cells with no value are not stored. |
| Prosperity gap (average shortfall from a prosperity standard of $28/day) | SI.SPR.PGAP | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departme; Urban Indicators Database, UN Human Settlements Programme (UN-Habitat); Alkire, S., Mishra, R., Selden, L. and Suppa, N. (2025). ‘The global Multidimensional Poverty Index (MPI) 2025: Country results and methodological note’, OPHI MPI Methodo; World Bank, Poverty and Inequality Platform. Data are compiled from official government sources or are computed by World Bank staff using national (i.e. country–specific). Cells with no value are not stored. |
World Development Indicators: Private sector (part 1 of 6)
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| B-READY: Business Entry: Overall Score | IC.BRE.BE.OS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Business Ready (B-READY) project, World Bank (WB). Cells with no value are not stored. |
| B-READY: Business Entry Pillar 1: Quality of Regulations for Business Entry | IC.BRE.BE.P1 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Business Ready (B-READY) project, World Bank (WB). Cells with no value are not stored. |
| B-READY: Business Entry Pillar 2: Digital Public Services and Transparency of Information for Business Entry | IC.BRE.BE.P2 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Business Ready (B-READY) project, World Bank (WB). Cells with no value are not stored. |
| B-READY: Business Entry Pillar 3: Operational Efficiency of Business Entry | IC.BRE.BE.P3 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Business Ready (B-READY) project, World Bank (WB). Cells with no value are not stored. |
| B-READY: Business Insolvency: Overall Score | IC.BRE.BI.OS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Business Ready (B-READY) project, World Bank (WB). Cells with no value are not stored. |
| B-READY: Business Insolvency Pillar 1: Quality of Regulations for Judicial Insolvency Proceedings | IC.BRE.BI.P1 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Business Ready (B-READY) project, World Bank (WB). Cells with no value are not stored. |
| B-READY: Business Insolvency Pillar 2: Quality of Institutional and Operational Infrastructure for Judicial Insolvency Proceedings | IC.BRE.BI.P2 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Business Ready (B-READY) project, World Bank (WB). Cells with no value are not stored. |
| B-READY: Business Insolvency Pillar 3: Operational Efficiency of Resolving Judicial Insolvency Proceedings | IC.BRE.BI.P3 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Business Ready (B-READY) project, World Bank (WB). Cells with no value are not stored. |
| B-READY: Business Location: Overall Score | IC.BRE.BL.OS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Business Ready (B-READY) project, World Bank (WB). Cells with no value are not stored. |
| B-READY: Business Location Pillar 1: Quality of Regulations for Business Location | IC.BRE.BL.P1 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Business Ready (B-READY) project, World Bank (WB). Cells with no value are not stored. |
| B-READY: Business Location Pillar 2: Quality of Public Services and Transparency of Information for Business Location | IC.BRE.BL.P2 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Business Ready (B-READY) project, World Bank (WB). Cells with no value are not stored. |
| B-READY: Business Location Pillar 3: Operational Efficiency of Establishing a Business Location | IC.BRE.BL.P3 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Business Ready (B-READY) project, World Bank (WB). Cells with no value are not stored. |
| B-READY: Dispute Resolution: Overall Score | IC.BRE.DR.OS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Business Ready (B-READY) project, World Bank (WB). Cells with no value are not stored. |
| B-READY: Dispute Resolution Pillar 1: Quality of Regulations for Dispute Resolution | IC.BRE.DR.P1 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Business Ready (B-READY) project, World Bank (WB). Cells with no value are not stored. |
| B-READY: Dispute Resolution Pillar 2: Public Services for Dispute Resolution | IC.BRE.DR.P2 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Business Ready (B-READY) project, World Bank (WB). Cells with no value are not stored. |
| B-READY: Dispute Resolution Pillar 3: Ease of Resolving a Commercial Dispute | IC.BRE.DR.P3 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Business Ready (B-READY) project, World Bank (WB). Cells with no value are not stored. |
| B-READY: Financial Services: Overall Score | IC.BRE.FS.OS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Business Ready (B-READY) project, World Bank (WB). Cells with no value are not stored. |
| B-READY: Financial Services Pillar 1: Quality of Regulations for Financial Services | IC.BRE.FS.P1 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Business Ready (B-READY) project, World Bank (WB). Cells with no value are not stored. |
| B-READY: Financial Services Pillar 2: Accessibility of Information in Credit Infrastructure | IC.BRE.FS.P2 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Business Ready (B-READY) project, World Bank (WB). Cells with no value are not stored. |
| B-READY: Financial Services Pillar 3: Operational Efficiency of Receiving Financial Services | IC.BRE.FS.P3 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Business Ready (B-READY) project, World Bank (WB). Cells with no value are not stored. |
| B-READY: International Trade: Overall Score | IC.BRE.IT.OS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Business Ready (B-READY) project, World Bank (WB). Cells with no value are not stored. |
| B-READY: International Trade Pillar 1: Quality of Regulations for International Trade | IC.BRE.IT.P1 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Business Ready (B-READY) project, World Bank (WB). Cells with no value are not stored. |
| B-READY: International Trade Pillar 2: Quality of Public Services for the Facilitation of International Trade | IC.BRE.IT.P2 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Business Ready (B-READY) project, World Bank (WB). Cells with no value are not stored. |
| B-READY: International Trade Pillar 3: Efficiency of Importing Goods, Exporting Goods, and Engaging in Digital Trade | IC.BRE.IT.P3 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Business Ready (B-READY) project, World Bank (WB). Cells with no value are not stored. |
| B-READY: Labor: Overall Score | IC.BRE.LB.OS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Business Ready (B-READY) project, World Bank (WB). Cells with no value are not stored. |
| B-READY: Labor Pillar 1: Quality of Labor Regulations | IC.BRE.LB.P1 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Business Ready (B-READY) project, World Bank (WB). Cells with no value are not stored. |
| B-READY: Labor Pillar 2: Adequacy of Public Services for Labor | IC.BRE.LB.P2 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Business Ready (B-READY) project, World Bank (WB). Cells with no value are not stored. |
| B-READY: Labor Pillar 3: Operational Efficiency of Labor Regulations and Public Services in Practice | IC.BRE.LB.P3 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Business Ready (B-READY) project, World Bank (WB). Cells with no value are not stored. |
| B-READY: Market Competition: Overall Score | IC.BRE.MC.OS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Business Ready (B-READY) project, World Bank (WB). Cells with no value are not stored. |
| B-READY: Market Competition Pillar 1: Quality of Regulations that Promote Market Competition | IC.BRE.MC.P1 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Business Ready (B-READY) project, World Bank (WB). Cells with no value are not stored. |
World Development Indicators: Private sector (part 2 of 6)
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| B-READY: Market Competition Pillar 2: Public Services that Promote Market Competition | IC.BRE.MC.P2 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Business Ready (B-READY) project, World Bank (WB); Entrepreneurship Database, World Bank (WB). Cells with no value are not stored. |
| B-READY: Market Competition Pillar 3: Implementation of Key Services Promoting Market Competition | IC.BRE.MC.P3 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Business Ready (B-READY) project, World Bank (WB); Entrepreneurship Database, World Bank (WB). Cells with no value are not stored. |
| B-READY: Pillar 1: Regulatory Framework | IC.BRE.P1.RF | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Business Ready (B-READY) project, World Bank (WB); Entrepreneurship Database, World Bank (WB). Cells with no value are not stored. |
| B-READY: Pillar 2: Public Services | IC.BRE.P2.PS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Business Ready (B-READY) project, World Bank (WB); Entrepreneurship Database, World Bank (WB). Cells with no value are not stored. |
| B-READY: Pillar 3: Operational Efficiency | IC.BRE.P3.OE | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Business Ready (B-READY) project, World Bank (WB); Entrepreneurship Database, World Bank (WB). Cells with no value are not stored. |
| B-READY: Taxation: Overall Score | IC.BRE.TX.OS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Business Ready (B-READY) project, World Bank (WB); Entrepreneurship Database, World Bank (WB). Cells with no value are not stored. |
| B-READY: Taxation Pillar 1: Quality of Regulations on Taxation | IC.BRE.TX.P1 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Business Ready (B-READY) project, World Bank (WB); Entrepreneurship Database, World Bank (WB). Cells with no value are not stored. |
| B-READY: Taxation Pillar 2: Public Services Provided by the Tax Administration | IC.BRE.TX.P2 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Business Ready (B-READY) project, World Bank (WB); Entrepreneurship Database, World Bank (WB). Cells with no value are not stored. |
| B-READY: Taxation Pillar 3: Operational Efficiency of Tax Systems in Practice | IC.BRE.TX.P3 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Business Ready (B-READY) project, World Bank (WB); Entrepreneurship Database, World Bank (WB). Cells with no value are not stored. |
| B-READY: Utility Services: Overall Score | IC.BRE.US.OS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Business Ready (B-READY) project, World Bank (WB); Entrepreneurship Database, World Bank (WB). Cells with no value are not stored. |
| B-READY: Utility Services Pillar 1: Quality of Regulations on Utility Services | IC.BRE.US.P1 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Business Ready (B-READY) project, World Bank (WB); Entrepreneurship Database, World Bank (WB). Cells with no value are not stored. |
| B-READY: Utility Services Pillar 2: Quality of Governance and Transparency of Utility Services | IC.BRE.US.P2 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Business Ready (B-READY) project, World Bank (WB); Entrepreneurship Database, World Bank (WB). Cells with no value are not stored. |
| B-READY: Utility Services Pillar 3: Operational Efficiency of Utility Service Provision | IC.BRE.US.P3 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Business Ready (B-READY) project, World Bank (WB); Entrepreneurship Database, World Bank (WB). Cells with no value are not stored. |
| New business density (new registrations per 1,000 people ages 15-64) | IC.BUS.NDNS.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Business Ready (B-READY) project, World Bank (WB); Entrepreneurship Database, World Bank (WB). Cells with no value are not stored. |
| New businesses registered (number) | IC.BUS.NREG | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Business Ready (B-READY) project, World Bank (WB); Entrepreneurship Database, World Bank (WB). Cells with no value are not stored. |
| Average time to clear exports through customs (days) | IC.CUS.DURS.EX | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Business Ready (B-READY) project, World Bank (WB); Entrepreneurship Database, World Bank (WB). Cells with no value are not stored. |
| Average time to clear imports through customs (days) | IC.CUS.DURS.IM | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Business Ready (B-READY) project, World Bank (WB); Entrepreneurship Database, World Bank (WB). Cells with no value are not stored. |
| Firms experiencing electrical outages (% of firms) | IC.ELC.OUTG.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Business Ready (B-READY) project, World Bank (WB); Entrepreneurship Database, World Bank (WB). Cells with no value are not stored. |
| Firms using banks to finance working capital (% of firms) | IC.FRM.BKWC.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Business Ready (B-READY) project, World Bank (WB); Entrepreneurship Database, World Bank (WB). Cells with no value are not stored. |
| Firms with a bank loan/line of credit (% of firms) | IC.FRM.BNKL.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Business Ready (B-READY) project, World Bank (WB); Entrepreneurship Database, World Bank (WB). Cells with no value are not stored. |
| Bribery incidence (% of firms experiencing at least one bribe payment request) | IC.FRM.BRIB.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Business Ready (B-READY) project, World Bank (WB); Entrepreneurship Database, World Bank (WB). Cells with no value are not stored. |
| Firms that use a third party to resolve commercial disputes (% of firms) | IC.FRM.CDP.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Business Ready (B-READY) project, World Bank (WB); Entrepreneurship Database, World Bank (WB). Cells with no value are not stored. |
| Firms competing against unregistered firms (% of firms) | IC.FRM.CMPU.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Business Ready (B-READY) project, World Bank (WB); Entrepreneurship Database, World Bank (WB). Cells with no value are not stored. |
| Firms monitoring own CO2 emissions (% of firms) | IC.FRM.CO2.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Business Ready (B-READY) project, World Bank (WB); Entrepreneurship Database, World Bank (WB). Cells with no value are not stored. |
| Informal payments to public officials (% of firms) | IC.FRM.CORR.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Business Ready (B-READY) project, World Bank (WB); Entrepreneurship Database, World Bank (WB). Cells with no value are not stored. |
| Firms that are fully credit constrained (% of firms) | IC.FRM.CRDC.FL.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Business Ready (B-READY) project, World Bank (WB); Entrepreneurship Database, World Bank (WB). Cells with no value are not stored. |
| Firms that are partially credit constrained (% of firms) | IC.FRM.CRDC.PT.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Business Ready (B-READY) project, World Bank (WB); Entrepreneurship Database, World Bank (WB). Cells with no value are not stored. |
| Time required to obtain an operating license (days) | IC.FRM.DURS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Business Ready (B-READY) project, World Bank (WB); Entrepreneurship Database, World Bank (WB). Cells with no value are not stored. |
| Firms adopting energy management measures to reduce emissions (% of firms) | IC.FRM.ENGM.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Business Ready (B-READY) project, World Bank (WB); Entrepreneurship Database, World Bank (WB). Cells with no value are not stored. |
| Firms exporting directly at least 10% of sales (% of firms) | IC.FRM.EXS.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Business Ready (B-READY) project, World Bank (WB); Entrepreneurship Database, World Bank (WB). Cells with no value are not stored. |
World Development Indicators: Private sector (part 3 of 6)
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Firms with female top manager (% of firms) | IC.FRM.FEMM.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files, UN Tourism; Connecting to Compete - Logistics Performance Index (LPI), World Bank (WB); Logistic Performance Index Surveys, World Bank (WB); Turku School of Economics. Cells with no value are not stored. |
| Firms with female participation in ownership (% of firms) | IC.FRM.FEMO.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files, UN Tourism; Connecting to Compete - Logistics Performance Index (LPI), World Bank (WB); Logistic Performance Index Surveys, World Bank (WB); Turku School of Economics. Cells with no value are not stored. |
| Firms with at least 10% foreign ownership | IC.FRM.FO.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files, UN Tourism; Connecting to Compete - Logistics Performance Index (LPI), World Bank (WB); Logistic Performance Index Surveys, World Bank (WB); Turku School of Economics. Cells with no value are not stored. |
| Firms formally registered when operations started (% of firms) | IC.FRM.FREG.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files, UN Tourism; Connecting to Compete - Logistics Performance Index (LPI), World Bank (WB); Logistic Performance Index Surveys, World Bank (WB); Turku School of Economics. Cells with no value are not stored. |
| Firms where largest owner is also the top manager (% of firms) | IC.FRM.LOTM.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files, UN Tourism; Connecting to Compete - Logistics Performance Index (LPI), World Bank (WB); Logistic Performance Index Surveys, World Bank (WB); Turku School of Economics. Cells with no value are not stored. |
| Firms visited or required meetings with tax officials (% of firms) | IC.FRM.METG.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files, UN Tourism; Connecting to Compete - Logistics Performance Index (LPI), World Bank (WB); Logistic Performance Index Surveys, World Bank (WB); Turku School of Economics. Cells with no value are not stored. |
| Firms that introduced a new product/service and process, and spent on R&D | IC.FRM.NPRD.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files, UN Tourism; Connecting to Compete - Logistics Performance Index (LPI), World Bank (WB); Logistic Performance Index Surveys, World Bank (WB); Turku School of Economics. Cells with no value are not stored. |
| Firms filling taxes electronically (% of firms) | IC.FRM.TAXE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files, UN Tourism; Connecting to Compete - Logistics Performance Index (LPI), World Bank (WB); Logistic Performance Index Surveys, World Bank (WB); Turku School of Economics. Cells with no value are not stored. |
| Firms offering formal training (% of firms) | IC.FRM.TRNG.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files, UN Tourism; Connecting to Compete - Logistics Performance Index (LPI), World Bank (WB); Logistic Performance Index Surveys, World Bank (WB); Turku School of Economics. Cells with no value are not stored. |
| Time spent dealing with the requirements of government regulations (% of senior management time) | IC.GOV.DURS.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files, UN Tourism; Connecting to Compete - Logistics Performance Index (LPI), World Bank (WB); Logistic Performance Index Surveys, World Bank (WB); Turku School of Economics. Cells with no value are not stored. |
| Management practices index | IC.MNG.IND | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files, UN Tourism; Connecting to Compete - Logistics Performance Index (LPI), World Bank (WB); Logistic Performance Index Surveys, World Bank (WB); Turku School of Economics. Cells with no value are not stored. |
| Firms expected to give gifts in meetings with tax officials (% of firms) | IC.TAX.GIFT.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files, UN Tourism; Connecting to Compete - Logistics Performance Index (LPI), World Bank (WB); Logistic Performance Index Surveys, World Bank (WB); Turku School of Economics. Cells with no value are not stored. |
| Number of visits or required meetings with tax officials (average for affected firms) | IC.TAX.METG | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files, UN Tourism; Connecting to Compete - Logistics Performance Index (LPI), World Bank (WB); Logistic Performance Index Surveys, World Bank (WB); Turku School of Economics. Cells with no value are not stored. |
| Lead time to import, median case (days) | LP.IMP.DURS.MD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files, UN Tourism; Connecting to Compete - Logistics Performance Index (LPI), World Bank (WB); Logistic Performance Index Surveys, World Bank (WB); Turku School of Economics. Cells with no value are not stored. |
| Logistics performance index: Efficiency of customs clearance process (1=low to 5=high) | LP.LPI.CUST.XQ | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files, UN Tourism; Connecting to Compete - Logistics Performance Index (LPI), World Bank (WB); Logistic Performance Index Surveys, World Bank (WB); Turku School of Economics. Cells with no value are not stored. |
| Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high) | LP.LPI.INFR.XQ | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files, UN Tourism; Connecting to Compete - Logistics Performance Index (LPI), World Bank (WB); Logistic Performance Index Surveys, World Bank (WB); Turku School of Economics. Cells with no value are not stored. |
| Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high) | LP.LPI.ITRN.XQ | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files, UN Tourism; Connecting to Compete - Logistics Performance Index (LPI), World Bank (WB); Logistic Performance Index Surveys, World Bank (WB); Turku School of Economics. Cells with no value are not stored. |
| Logistics performance index: Competence and quality of logistics services (1=low to 5=high) | LP.LPI.LOGS.XQ | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files, UN Tourism; Connecting to Compete - Logistics Performance Index (LPI), World Bank (WB); Logistic Performance Index Surveys, World Bank (WB); Turku School of Economics. Cells with no value are not stored. |
| Logistics performance index: Overall (1=low to 5=high) | LP.LPI.OVRL.XQ | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files, UN Tourism; Connecting to Compete - Logistics Performance Index (LPI), World Bank (WB); Logistic Performance Index Surveys, World Bank (WB); Turku School of Economics. Cells with no value are not stored. |
| Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high) | LP.LPI.TIME.XQ | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files, UN Tourism; Connecting to Compete - Logistics Performance Index (LPI), World Bank (WB); Logistic Performance Index Surveys, World Bank (WB); Turku School of Economics. Cells with no value are not stored. |
| Logistics performance index: Ability to track and trace consignments (1=low to 5=high) | LP.LPI.TRAC.XQ | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files, UN Tourism; Connecting to Compete - Logistics Performance Index (LPI), World Bank (WB); Logistic Performance Index Surveys, World Bank (WB); Turku School of Economics. Cells with no value are not stored. |
| International tourism, number of arrivals | ST.INT.ARVL | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files, UN Tourism; Connecting to Compete - Logistics Performance Index (LPI), World Bank (WB); Logistic Performance Index Surveys, World Bank (WB); Turku School of Economics. Cells with no value are not stored. |
| International tourism, number of departures | ST.INT.DPRT | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files, UN Tourism; Connecting to Compete - Logistics Performance Index (LPI), World Bank (WB); Logistic Performance Index Surveys, World Bank (WB); Turku School of Economics. Cells with no value are not stored. |
| International tourism, receipts (current US$) | ST.INT.RCPT.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files, UN Tourism; Connecting to Compete - Logistics Performance Index (LPI), World Bank (WB); Logistic Performance Index Surveys, World Bank (WB); Turku School of Economics. Cells with no value are not stored. |
| International tourism, receipts (% of total exports) | ST.INT.RCPT.XP.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files, UN Tourism; Connecting to Compete - Logistics Performance Index (LPI), World Bank (WB); Logistic Performance Index Surveys, World Bank (WB); Turku School of Economics. Cells with no value are not stored. |
| International tourism, receipts for passenger transport items (current US$) | ST.INT.TRNR.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files, UN Tourism; Connecting to Compete - Logistics Performance Index (LPI), World Bank (WB); Logistic Performance Index Surveys, World Bank (WB); Turku School of Economics. Cells with no value are not stored. |
| International tourism, expenditures for passenger transport items (current US$) | ST.INT.TRNX.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files, UN Tourism; Connecting to Compete - Logistics Performance Index (LPI), World Bank (WB); Logistic Performance Index Surveys, World Bank (WB); Turku School of Economics. Cells with no value are not stored. |
| International tourism, receipts for travel items (current US$) | ST.INT.TVLR.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files, UN Tourism; Connecting to Compete - Logistics Performance Index (LPI), World Bank (WB); Logistic Performance Index Surveys, World Bank (WB); Turku School of Economics. Cells with no value are not stored. |
| International tourism, expenditures for travel items (current US$) | ST.INT.TVLX.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files, UN Tourism; Connecting to Compete - Logistics Performance Index (LPI), World Bank (WB); Logistic Performance Index Surveys, World Bank (WB); Turku School of Economics. Cells with no value are not stored. |
| International tourism, expenditures (current US$) | ST.INT.XPND.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Enterprise Surveys, World Bank (WB); Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files, UN Tourism; Connecting to Compete - Logistics Performance Index (LPI), World Bank (WB); Logistic Performance Index Surveys, World Bank (WB); Turku School of Economics. Cells with no value are not stored. |
World Development Indicators: Private sector (part 4 of 6)
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| International tourism, expenditures (% of total imports) | ST.INT.XPND.MP.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Integrated Trade Solution system (WITS), World Bank (WB); Staff estimates, World Bank (WB); Staff estimates; Trade Analysis and Information System (TRAINS), UN Conference on Trade and Development (UNCTAD); Integrated Data Base (IDB), World Trade Organization (WTO). Cells with no value are not stored. |
| Merchandise trade (% of GDP) | TG.VAL.TOTL.GD.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Integrated Trade Solution system (WITS), World Bank (WB); Staff estimates, World Bank (WB); Staff estimates; Trade Analysis and Information System (TRAINS), UN Conference on Trade and Development (UNCTAD); Integrated Data Base (IDB), World Trade Organization (WTO). Cells with no value are not stored. |
| Import volume index (2015 = 100) | TM.QTY.MRCH.XD.WD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Integrated Trade Solution system (WITS), World Bank (WB); Staff estimates, World Bank (WB); Staff estimates; Trade Analysis and Information System (TRAINS), UN Conference on Trade and Development (UNCTAD); Integrated Data Base (IDB), World Trade Organization (WTO). Cells with no value are not stored. |
| Binding coverage, manufactured products (%) | TM.TAX.MANF.BC.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Integrated Trade Solution system (WITS), World Bank (WB); Staff estimates, World Bank (WB); Staff estimates; Trade Analysis and Information System (TRAINS), UN Conference on Trade and Development (UNCTAD); Integrated Data Base (IDB), World Trade Organization (WTO). Cells with no value are not stored. |
| Bound rate, simple mean, manufactured products (%) | TM.TAX.MANF.BR.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Integrated Trade Solution system (WITS), World Bank (WB); Staff estimates, World Bank (WB); Staff estimates; Trade Analysis and Information System (TRAINS), UN Conference on Trade and Development (UNCTAD); Integrated Data Base (IDB), World Trade Organization (WTO). Cells with no value are not stored. |
| Tariff rate, applied, simple mean, manufactured products (%) | TM.TAX.MANF.SM.AR.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Integrated Trade Solution system (WITS), World Bank (WB); Staff estimates, World Bank (WB); Staff estimates; Trade Analysis and Information System (TRAINS), UN Conference on Trade and Development (UNCTAD); Integrated Data Base (IDB), World Trade Organization (WTO). Cells with no value are not stored. |
| Tariff rate, most favored nation, simple mean, manufactured products (%) | TM.TAX.MANF.SM.FN.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Integrated Trade Solution system (WITS), World Bank (WB); Staff estimates, World Bank (WB); Staff estimates; Trade Analysis and Information System (TRAINS), UN Conference on Trade and Development (UNCTAD); Integrated Data Base (IDB), World Trade Organization (WTO). Cells with no value are not stored. |
| Tariff rate, applied, weighted mean, manufactured products (%) | TM.TAX.MANF.WM.AR.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Integrated Trade Solution system (WITS), World Bank (WB); Staff estimates, World Bank (WB); Staff estimates; Trade Analysis and Information System (TRAINS), UN Conference on Trade and Development (UNCTAD); Integrated Data Base (IDB), World Trade Organization (WTO). Cells with no value are not stored. |
| Tariff rate, most favored nation, weighted mean, manufactured products (%) | TM.TAX.MANF.WM.FN.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Integrated Trade Solution system (WITS), World Bank (WB); Staff estimates, World Bank (WB); Staff estimates; Trade Analysis and Information System (TRAINS), UN Conference on Trade and Development (UNCTAD); Integrated Data Base (IDB), World Trade Organization (WTO). Cells with no value are not stored. |
| Binding coverage, all products (%) | TM.TAX.MRCH.BC.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Integrated Trade Solution system (WITS), World Bank (WB); Staff estimates, World Bank (WB); Staff estimates; Trade Analysis and Information System (TRAINS), UN Conference on Trade and Development (UNCTAD); Integrated Data Base (IDB), World Trade Organization (WTO). Cells with no value are not stored. |
| Bound rate, simple mean, all products (%) | TM.TAX.MRCH.BR.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Integrated Trade Solution system (WITS), World Bank (WB); Staff estimates, World Bank (WB); Staff estimates; Trade Analysis and Information System (TRAINS), UN Conference on Trade and Development (UNCTAD); Integrated Data Base (IDB), World Trade Organization (WTO). Cells with no value are not stored. |
| Tariff rate, applied, simple mean, all products (%) | TM.TAX.MRCH.SM.AR.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Integrated Trade Solution system (WITS), World Bank (WB); Staff estimates, World Bank (WB); Staff estimates; Trade Analysis and Information System (TRAINS), UN Conference on Trade and Development (UNCTAD); Integrated Data Base (IDB), World Trade Organization (WTO). Cells with no value are not stored. |
| Tariff rate, most favored nation, simple mean, all products (%) | TM.TAX.MRCH.SM.FN.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Integrated Trade Solution system (WITS), World Bank (WB); Staff estimates, World Bank (WB); Staff estimates; Trade Analysis and Information System (TRAINS), UN Conference on Trade and Development (UNCTAD); Integrated Data Base (IDB), World Trade Organization (WTO). Cells with no value are not stored. |
| Tariff rate, applied, weighted mean, all products (%) | TM.TAX.MRCH.WM.AR.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Integrated Trade Solution system (WITS), World Bank (WB); Staff estimates, World Bank (WB); Staff estimates; Trade Analysis and Information System (TRAINS), UN Conference on Trade and Development (UNCTAD); Integrated Data Base (IDB), World Trade Organization (WTO). Cells with no value are not stored. |
| Tariff rate, most favored nation, weighted mean, all products (%) | TM.TAX.MRCH.WM.FN.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Integrated Trade Solution system (WITS), World Bank (WB); Staff estimates, World Bank (WB); Staff estimates; Trade Analysis and Information System (TRAINS), UN Conference on Trade and Development (UNCTAD); Integrated Data Base (IDB), World Trade Organization (WTO). Cells with no value are not stored. |
| Binding coverage, primary products (%) | TM.TAX.TCOM.BC.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Integrated Trade Solution system (WITS), World Bank (WB); Staff estimates, World Bank (WB); Staff estimates; Trade Analysis and Information System (TRAINS), UN Conference on Trade and Development (UNCTAD); Integrated Data Base (IDB), World Trade Organization (WTO). Cells with no value are not stored. |
| Bound rate, simple mean, primary products (%) | TM.TAX.TCOM.BR.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Integrated Trade Solution system (WITS), World Bank (WB); Staff estimates, World Bank (WB); Staff estimates; Trade Analysis and Information System (TRAINS), UN Conference on Trade and Development (UNCTAD); Integrated Data Base (IDB), World Trade Organization (WTO). Cells with no value are not stored. |
| Tariff rate, applied, simple mean, primary products (%) | TM.TAX.TCOM.SM.AR.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Integrated Trade Solution system (WITS), World Bank (WB); Staff estimates, World Bank (WB); Staff estimates; Trade Analysis and Information System (TRAINS), UN Conference on Trade and Development (UNCTAD); Integrated Data Base (IDB), World Trade Organization (WTO). Cells with no value are not stored. |
| Tariff rate, most favored nation, simple mean, primary products (%) | TM.TAX.TCOM.SM.FN.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Integrated Trade Solution system (WITS), World Bank (WB); Staff estimates, World Bank (WB); Staff estimates; Trade Analysis and Information System (TRAINS), UN Conference on Trade and Development (UNCTAD); Integrated Data Base (IDB), World Trade Organization (WTO). Cells with no value are not stored. |
| Tariff rate, applied, weighted mean, primary products (%) | TM.TAX.TCOM.WM.AR.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Integrated Trade Solution system (WITS), World Bank (WB); Staff estimates, World Bank (WB); Staff estimates; Trade Analysis and Information System (TRAINS), UN Conference on Trade and Development (UNCTAD); Integrated Data Base (IDB), World Trade Organization (WTO). Cells with no value are not stored. |
| Tariff rate, most favored nation, weighted mean, primary products (%) | TM.TAX.TCOM.WM.FN.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Integrated Trade Solution system (WITS), World Bank (WB); Staff estimates, World Bank (WB); Staff estimates; Trade Analysis and Information System (TRAINS), UN Conference on Trade and Development (UNCTAD); Integrated Data Base (IDB), World Trade Organization (WTO). Cells with no value are not stored. |
| Import unit value index (2015 = 100) | TM.UVI.MRCH.XD.WD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Integrated Trade Solution system (WITS), World Bank (WB); Staff estimates, World Bank (WB); Staff estimates; Trade Analysis and Information System (TRAINS), UN Conference on Trade and Development (UNCTAD); Integrated Data Base (IDB), World Trade Organization (WTO). Cells with no value are not stored. |
| Food imports (% of merchandise imports) | TM.VAL.FOOD.ZS.UN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Integrated Trade Solution system (WITS), World Bank (WB); Staff estimates, World Bank (WB); Staff estimates; Trade Analysis and Information System (TRAINS), UN Conference on Trade and Development (UNCTAD); Integrated Data Base (IDB), World Trade Organization (WTO). Cells with no value are not stored. |
| Insurance and financial services (% of commercial service imports) | TM.VAL.INSF.ZS.WT | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Integrated Trade Solution system (WITS), World Bank (WB); Staff estimates, World Bank (WB); Staff estimates; Trade Analysis and Information System (TRAINS), UN Conference on Trade and Development (UNCTAD); Integrated Data Base (IDB), World Trade Organization (WTO). Cells with no value are not stored. |
| Manufactures imports (% of merchandise imports) | TM.VAL.MANF.ZS.UN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Integrated Trade Solution system (WITS), World Bank (WB); Staff estimates, World Bank (WB); Staff estimates; Trade Analysis and Information System (TRAINS), UN Conference on Trade and Development (UNCTAD); Integrated Data Base (IDB), World Trade Organization (WTO). Cells with no value are not stored. |
| Merchandise imports from economies in the Arab World (% of total merchandise imports) | TM.VAL.MRCH.AL.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Integrated Trade Solution system (WITS), World Bank (WB); Staff estimates, World Bank (WB); Staff estimates; Trade Analysis and Information System (TRAINS), UN Conference on Trade and Development (UNCTAD); Integrated Data Base (IDB), World Trade Organization (WTO). Cells with no value are not stored. |
| Merchandise imports (current US$) | TM.VAL.MRCH.CD.WT | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Integrated Trade Solution system (WITS), World Bank (WB); Staff estimates, World Bank (WB); Staff estimates; Trade Analysis and Information System (TRAINS), UN Conference on Trade and Development (UNCTAD); Integrated Data Base (IDB), World Trade Organization (WTO). Cells with no value are not stored. |
| Merchandise imports from high-income economies (% of total merchandise imports) | TM.VAL.MRCH.HI.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Integrated Trade Solution system (WITS), World Bank (WB); Staff estimates, World Bank (WB); Staff estimates; Trade Analysis and Information System (TRAINS), UN Conference on Trade and Development (UNCTAD); Integrated Data Base (IDB), World Trade Organization (WTO). Cells with no value are not stored. |
| Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports) | TM.VAL.MRCH.OR.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Integrated Trade Solution system (WITS), World Bank (WB); Staff estimates, World Bank (WB); Staff estimates; Trade Analysis and Information System (TRAINS), UN Conference on Trade and Development (UNCTAD); Integrated Data Base (IDB), World Trade Organization (WTO). Cells with no value are not stored. |
| Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports) | TM.VAL.MRCH.R1.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Integrated Trade Solution system (WITS), World Bank (WB); Staff estimates, World Bank (WB); Staff estimates; Trade Analysis and Information System (TRAINS), UN Conference on Trade and Development (UNCTAD); Integrated Data Base (IDB), World Trade Organization (WTO). Cells with no value are not stored. |
World Development Indicators: Private sector (part 5 of 6)
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports) | TM.VAL.MRCH.R2.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Direction of Trade database, International Monetary Fund (IMF); Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Comtrade database, United Nations (UN). Cells with no value are not stored. |
| Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports) | TM.VAL.MRCH.R3.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Direction of Trade database, International Monetary Fund (IMF); Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Comtrade database, United Nations (UN). Cells with no value are not stored. |
| Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports) | TM.VAL.MRCH.R4.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Direction of Trade database, International Monetary Fund (IMF); Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Comtrade database, United Nations (UN). Cells with no value are not stored. |
| Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports) | TM.VAL.MRCH.R5.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Direction of Trade database, International Monetary Fund (IMF); Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Comtrade database, United Nations (UN). Cells with no value are not stored. |
| Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports) | TM.VAL.MRCH.R6.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Direction of Trade database, International Monetary Fund (IMF); Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Comtrade database, United Nations (UN). Cells with no value are not stored. |
| Merchandise imports by the reporting economy, residual (% of total merchandise imports) | TM.VAL.MRCH.RS.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Direction of Trade database, International Monetary Fund (IMF); Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Comtrade database, United Nations (UN). Cells with no value are not stored. |
| Merchandise imports by the reporting economy (current US$) | TM.VAL.MRCH.WL.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Direction of Trade database, International Monetary Fund (IMF); Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Comtrade database, United Nations (UN). Cells with no value are not stored. |
| Merchandise imports from low- and middle-income economies within region (% of total merchandise imports) | TM.VAL.MRCH.WR.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Direction of Trade database, International Monetary Fund (IMF); Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Comtrade database, United Nations (UN). Cells with no value are not stored. |
| Import value index (2015 = 100) | TM.VAL.MRCH.XD.WD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Direction of Trade database, International Monetary Fund (IMF); Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Comtrade database, United Nations (UN). Cells with no value are not stored. |
| Computer, communications and other services (% of commercial service imports) | TM.VAL.OTHR.ZS.WT | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Direction of Trade database, International Monetary Fund (IMF); Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Comtrade database, United Nations (UN). Cells with no value are not stored. |
| Commercial service imports (current US$) | TM.VAL.SERV.CD.WT | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Direction of Trade database, International Monetary Fund (IMF); Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Comtrade database, United Nations (UN). Cells with no value are not stored. |
| Transport services (% of commercial service imports) | TM.VAL.TRAN.ZS.WT | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Direction of Trade database, International Monetary Fund (IMF); Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Comtrade database, United Nations (UN). Cells with no value are not stored. |
| Travel services (% of commercial service imports) | TM.VAL.TRVL.ZS.WT | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Direction of Trade database, International Monetary Fund (IMF); Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Comtrade database, United Nations (UN). Cells with no value are not stored. |
| Net barter terms of trade index (2015 = 100) | TT.PRI.MRCH.XD.WD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Direction of Trade database, International Monetary Fund (IMF); Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Comtrade database, United Nations (UN). Cells with no value are not stored. |
| Medium and high-tech exports (% manufactured exports) | TX.MNF.TECH.ZS.UN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Direction of Trade database, International Monetary Fund (IMF); Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Comtrade database, United Nations (UN). Cells with no value are not stored. |
| Export volume index (2015 = 100) | TX.QTY.MRCH.XD.WD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Direction of Trade database, International Monetary Fund (IMF); Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Comtrade database, United Nations (UN). Cells with no value are not stored. |
| Export unit value index (2015 = 100) | TX.UVI.MRCH.XD.WD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Direction of Trade database, International Monetary Fund (IMF); Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Comtrade database, United Nations (UN). Cells with no value are not stored. |
| Food exports (% of merchandise exports) | TX.VAL.FOOD.ZS.UN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Direction of Trade database, International Monetary Fund (IMF); Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Comtrade database, United Nations (UN). Cells with no value are not stored. |
| Insurance and financial services (% of commercial service exports) | TX.VAL.INSF.ZS.WT | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Direction of Trade database, International Monetary Fund (IMF); Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Comtrade database, United Nations (UN). Cells with no value are not stored. |
| Manufactures exports (% of merchandise exports) | TX.VAL.MANF.ZS.UN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Direction of Trade database, International Monetary Fund (IMF); Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Comtrade database, United Nations (UN). Cells with no value are not stored. |
| Merchandise exports to economies in the Arab World (% of total merchandise exports) | TX.VAL.MRCH.AL.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Direction of Trade database, International Monetary Fund (IMF); Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Comtrade database, United Nations (UN). Cells with no value are not stored. |
| Merchandise exports (current US$) | TX.VAL.MRCH.CD.WT | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Direction of Trade database, International Monetary Fund (IMF); Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Comtrade database, United Nations (UN). Cells with no value are not stored. |
| Merchandise exports to high-income economies (% of total merchandise exports) | TX.VAL.MRCH.HI.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Direction of Trade database, International Monetary Fund (IMF); Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Comtrade database, United Nations (UN). Cells with no value are not stored. |
| Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports) | TX.VAL.MRCH.OR.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Direction of Trade database, International Monetary Fund (IMF); Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Comtrade database, United Nations (UN). Cells with no value are not stored. |
| Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports) | TX.VAL.MRCH.R1.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Direction of Trade database, International Monetary Fund (IMF); Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Comtrade database, United Nations (UN). Cells with no value are not stored. |
| Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports) | TX.VAL.MRCH.R2.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Direction of Trade database, International Monetary Fund (IMF); Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Comtrade database, United Nations (UN). Cells with no value are not stored. |
| Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports) | TX.VAL.MRCH.R3.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Direction of Trade database, International Monetary Fund (IMF); Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Comtrade database, United Nations (UN). Cells with no value are not stored. |
| Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports) | TX.VAL.MRCH.R4.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Direction of Trade database, International Monetary Fund (IMF); Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Comtrade database, United Nations (UN). Cells with no value are not stored. |
| Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports) | TX.VAL.MRCH.R5.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Direction of Trade database, International Monetary Fund (IMF); Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Comtrade database, United Nations (UN). Cells with no value are not stored. |
| Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports) | TX.VAL.MRCH.R6.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Staff estimates, World Bank (WB); Direction of Trade database, International Monetary Fund (IMF); Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); UN Conference on Trade and Development (UNCTAD); Comtrade database, United Nations (UN). Cells with no value are not stored. |
World Development Indicators: Private sector (part 6 of 6)
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Merchandise exports by the reporting economy, residual (% of total merchandise exports) | TX.VAL.MRCH.RS.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); Staff estimates, World Bank (WB); Direction of Trade database, International Monetary Fund (IMF); Comtrade database, United Nations (UN); World Integrated Trade Solution system (WITS), World Bank (WB). Cells with no value are not stored. |
| Merchandise exports by the reporting economy (current US$) | TX.VAL.MRCH.WL.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); Staff estimates, World Bank (WB); Direction of Trade database, International Monetary Fund (IMF); Comtrade database, United Nations (UN); World Integrated Trade Solution system (WITS), World Bank (WB). Cells with no value are not stored. |
| Merchandise exports to low- and middle-income economies within region (% of total merchandise exports) | TX.VAL.MRCH.WR.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); Staff estimates, World Bank (WB); Direction of Trade database, International Monetary Fund (IMF); Comtrade database, United Nations (UN); World Integrated Trade Solution system (WITS), World Bank (WB). Cells with no value are not stored. |
| Export value index (2015 = 100) | TX.VAL.MRCH.XD.WD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); Staff estimates, World Bank (WB); Direction of Trade database, International Monetary Fund (IMF); Comtrade database, United Nations (UN); World Integrated Trade Solution system (WITS), World Bank (WB). Cells with no value are not stored. |
| Computer, communications and other services (% of commercial service exports) | TX.VAL.OTHR.ZS.WT | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); Staff estimates, World Bank (WB); Direction of Trade database, International Monetary Fund (IMF); Comtrade database, United Nations (UN); World Integrated Trade Solution system (WITS), World Bank (WB). Cells with no value are not stored. |
| Commercial service exports (current US$) | TX.VAL.SERV.CD.WT | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); Staff estimates, World Bank (WB); Direction of Trade database, International Monetary Fund (IMF); Comtrade database, United Nations (UN); World Integrated Trade Solution system (WITS), World Bank (WB). Cells with no value are not stored. |
| High-technology exports (current US$) | TX.VAL.TECH.CD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); Staff estimates, World Bank (WB); Direction of Trade database, International Monetary Fund (IMF); Comtrade database, United Nations (UN); World Integrated Trade Solution system (WITS), World Bank (WB). Cells with no value are not stored. |
| High-technology exports (% of manufactured exports) | TX.VAL.TECH.MF.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); Staff estimates, World Bank (WB); Direction of Trade database, International Monetary Fund (IMF); Comtrade database, United Nations (UN); World Integrated Trade Solution system (WITS), World Bank (WB). Cells with no value are not stored. |
| Transport services (% of commercial service exports) | TX.VAL.TRAN.ZS.WT | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); Staff estimates, World Bank (WB); Direction of Trade database, International Monetary Fund (IMF); Comtrade database, United Nations (UN); World Integrated Trade Solution system (WITS), World Bank (WB). Cells with no value are not stored. |
| Travel services (% of commercial service exports) | TX.VAL.TRVL.ZS.WT | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF); Staff estimates, World Bank (WB); Direction of Trade database, International Monetary Fund (IMF); Comtrade database, United Nations (UN); World Integrated Trade Solution system (WITS), World Bank (WB). Cells with no value are not stored. |
World Development Indicators: Public sector (part 1 of 3)
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Net acquisition of financial assets (current LCU) | GC.AST.TOTL.CN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF). Cells with no value are not stored. |
| Net acquisition of financial assets (% of GDP) | GC.AST.TOTL.GD.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF). Cells with no value are not stored. |
| Central government debt, total (current LCU) | GC.DOD.TOTL.CN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF). Cells with no value are not stored. |
| Net incurrence of liabilities, total (current LCU) | GC.LBL.TOTL.CN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF). Cells with no value are not stored. |
| Net incurrence of liabilities, total (% of GDP) | GC.LBL.TOTL.GD.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF). Cells with no value are not stored. |
| Net investment in nonfinancial assets (current LCU) | GC.NFN.TOTL.CN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF). Cells with no value are not stored. |
| Net investment in nonfinancial assets (% of GDP) | GC.NFN.TOTL.GD.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF). Cells with no value are not stored. |
| Net lending (+) / net borrowing (-) (current LCU) | GC.NLD.TOTL.CN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF). Cells with no value are not stored. |
| Net lending (+) / net borrowing (-) (% of GDP) | GC.NLD.TOTL.GD.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF). Cells with no value are not stored. |
| Grants and other revenue (current LCU) | GC.REV.GOTR.CN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF). Cells with no value are not stored. |
| Grants and other revenue (% of revenue) | GC.REV.GOTR.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF). Cells with no value are not stored. |
| Social contributions (current LCU) | GC.REV.SOCL.CN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF). Cells with no value are not stored. |
| Social contributions (% of revenue) | GC.REV.SOCL.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF). Cells with no value are not stored. |
| Revenue, excluding grants (current LCU) | GC.REV.XGRT.CN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF). Cells with no value are not stored. |
| Taxes on exports (current LCU) | GC.TAX.EXPT.CN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF). Cells with no value are not stored. |
| Taxes on exports (% of tax revenue) | GC.TAX.EXPT.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF). Cells with no value are not stored. |
| Taxes on goods and services (current LCU) | GC.TAX.GSRV.CN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF). Cells with no value are not stored. |
| Taxes on goods and services (% of revenue) | GC.TAX.GSRV.RV.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF). Cells with no value are not stored. |
| Taxes on goods and services (% value added of industry and services) | GC.TAX.GSRV.VA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF). Cells with no value are not stored. |
| Customs and other import duties (current LCU) | GC.TAX.IMPT.CN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF). Cells with no value are not stored. |
| Customs and other import duties (% of tax revenue) | GC.TAX.IMPT.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF). Cells with no value are not stored. |
| Taxes on international trade (current LCU) | GC.TAX.INTT.CN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF). Cells with no value are not stored. |
| Taxes on international trade (% of revenue) | GC.TAX.INTT.RV.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF). Cells with no value are not stored. |
| Other taxes (current LCU) | GC.TAX.OTHR.CN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF). Cells with no value are not stored. |
| Other taxes (% of revenue) | GC.TAX.OTHR.RV.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF). Cells with no value are not stored. |
| Tax revenue (current LCU) | GC.TAX.TOTL.CN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF). Cells with no value are not stored. |
| Tax revenue (% of GDP) | GC.TAX.TOTL.GD.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF). Cells with no value are not stored. |
| Taxes on income, profits and capital gains (current LCU) | GC.TAX.YPKG.CN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF). Cells with no value are not stored. |
| Taxes on income, profits and capital gains (% of revenue) | GC.TAX.YPKG.RV.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF). Cells with no value are not stored. |
| Taxes on income, profits and capital gains (% of total taxes) | GC.TAX.YPKG.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF). Cells with no value are not stored. |
World Development Indicators: Public sector (part 2 of 3)
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Compensation of employees (current LCU) | GC.XPN.COMP.CN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF); The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG); CPIA database, World Bank Group (WBG); Public Expenditure and Financial Accountability (PEFA), World Bank (WB). Cells with no value are not stored. |
| Compensation of employees (% of expense) | GC.XPN.COMP.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF); The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG); CPIA database, World Bank Group (WBG); Public Expenditure and Financial Accountability (PEFA), World Bank (WB). Cells with no value are not stored. |
| Goods and services expense (current LCU) | GC.XPN.GSRV.CN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF); The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG); CPIA database, World Bank Group (WBG); Public Expenditure and Financial Accountability (PEFA), World Bank (WB). Cells with no value are not stored. |
| Goods and services expense (% of expense) | GC.XPN.GSRV.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF); The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG); CPIA database, World Bank Group (WBG); Public Expenditure and Financial Accountability (PEFA), World Bank (WB). Cells with no value are not stored. |
| Interest payments (current LCU) | GC.XPN.INTP.CN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF); The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG); CPIA database, World Bank Group (WBG); Public Expenditure and Financial Accountability (PEFA), World Bank (WB). Cells with no value are not stored. |
| Interest payments (% of revenue) | GC.XPN.INTP.RV.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF); The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG); CPIA database, World Bank Group (WBG); Public Expenditure and Financial Accountability (PEFA), World Bank (WB). Cells with no value are not stored. |
| Interest payments (% of expense) | GC.XPN.INTP.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF); The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG); CPIA database, World Bank Group (WBG); Public Expenditure and Financial Accountability (PEFA), World Bank (WB). Cells with no value are not stored. |
| Other expense (current LCU) | GC.XPN.OTHR.CN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF); The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG); CPIA database, World Bank Group (WBG); Public Expenditure and Financial Accountability (PEFA), World Bank (WB). Cells with no value are not stored. |
| Other expense (% of expense) | GC.XPN.OTHR.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF); The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG); CPIA database, World Bank Group (WBG); Public Expenditure and Financial Accountability (PEFA), World Bank (WB). Cells with no value are not stored. |
| Expense (current LCU) | GC.XPN.TOTL.CN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF); The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG); CPIA database, World Bank Group (WBG); Public Expenditure and Financial Accountability (PEFA), World Bank (WB). Cells with no value are not stored. |
| Subsidies and other transfers (current LCU) | GC.XPN.TRFT.CN | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF); The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG); CPIA database, World Bank Group (WBG); Public Expenditure and Financial Accountability (PEFA), World Bank (WB). Cells with no value are not stored. |
| Subsidies and other transfers (% of expense) | GC.XPN.TRFT.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF); The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG); CPIA database, World Bank Group (WBG); Public Expenditure and Financial Accountability (PEFA), World Bank (WB). Cells with no value are not stored. |
| Primary government expenditures as a proportion of original approved budget (%) | GF.XPD.BUDG.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF); The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG); CPIA database, World Bank Group (WBG); Public Expenditure and Financial Accountability (PEFA), World Bank (WB). Cells with no value are not stored. |
| Control of Corruption - Governance estimate (approx. -2.5 to +2.5) | GOV_WGI_CC_EST | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF); The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG); CPIA database, World Bank Group (WBG); Public Expenditure and Financial Accountability (PEFA), World Bank (WB). Cells with no value are not stored. |
| Control of Corruption - Governance score (0-100) | GOV_WGI_CC_SC | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF); The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG); CPIA database, World Bank Group (WBG); Public Expenditure and Financial Accountability (PEFA), World Bank (WB). Cells with no value are not stored. |
| Government Effectiveness - Governance estimate (approx. -2.5 to +2.5) | GOV_WGI_GE_EST | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF); The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG); CPIA database, World Bank Group (WBG); Public Expenditure and Financial Accountability (PEFA), World Bank (WB). Cells with no value are not stored. |
| Government Effectiveness - Governance score (0-100) | GOV_WGI_GE_SC | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF); The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG); CPIA database, World Bank Group (WBG); Public Expenditure and Financial Accountability (PEFA), World Bank (WB). Cells with no value are not stored. |
| Political Stability - Governance estimate (approx. -2.5 to +2.5) | GOV_WGI_PV_EST | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF); The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG); CPIA database, World Bank Group (WBG); Public Expenditure and Financial Accountability (PEFA), World Bank (WB). Cells with no value are not stored. |
| Political Stability - Governance score (0-100) | GOV_WGI_PV_SC | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF); The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG); CPIA database, World Bank Group (WBG); Public Expenditure and Financial Accountability (PEFA), World Bank (WB). Cells with no value are not stored. |
| Rule of Law - Governance estimate (approx. -2.5 to +2.5) | GOV_WGI_RL_EST | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF); The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG); CPIA database, World Bank Group (WBG); Public Expenditure and Financial Accountability (PEFA), World Bank (WB). Cells with no value are not stored. |
| Rule of Law - Governance score (0-100) | GOV_WGI_RL_SC | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF); The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG); CPIA database, World Bank Group (WBG); Public Expenditure and Financial Accountability (PEFA), World Bank (WB). Cells with no value are not stored. |
| Regulatory Quality - Governance estimate (approx. -2.5 to +2.5) | GOV_WGI_RQ_EST | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF); The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG); CPIA database, World Bank Group (WBG); Public Expenditure and Financial Accountability (PEFA), World Bank (WB). Cells with no value are not stored. |
| Regulatory Quality - Governance score (0-100) | GOV_WGI_RQ_SC | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF); The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG); CPIA database, World Bank Group (WBG); Public Expenditure and Financial Accountability (PEFA), World Bank (WB). Cells with no value are not stored. |
| Voice and Accountability - Governance estimate (approx. -2.5 to +2.5) | GOV_WGI_VA_EST | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF); The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG); CPIA database, World Bank Group (WBG); Public Expenditure and Financial Accountability (PEFA), World Bank (WB). Cells with no value are not stored. |
| Voice and Accountability - Governance score (0-100) | GOV_WGI_VA_SC | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF); The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG); CPIA database, World Bank Group (WBG); Public Expenditure and Financial Accountability (PEFA), World Bank (WB). Cells with no value are not stored. |
| CPIA business regulatory environment rating (1=low to 6=high) | IQ.CPA.BREG.XQ | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF); The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG); CPIA database, World Bank Group (WBG); Public Expenditure and Financial Accountability (PEFA), World Bank (WB). Cells with no value are not stored. |
| CPIA debt policy rating (1=low to 6=high) | IQ.CPA.DEBT.XQ | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF); The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG); CPIA database, World Bank Group (WBG); Public Expenditure and Financial Accountability (PEFA), World Bank (WB). Cells with no value are not stored. |
| CPIA economic management cluster average (1=low to 6=high) | IQ.CPA.ECON.XQ | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF); The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG); CPIA database, World Bank Group (WBG); Public Expenditure and Financial Accountability (PEFA), World Bank (WB). Cells with no value are not stored. |
| CPIA policy and institutions for environmental sustainability rating (1=low to 6=high) | IQ.CPA.ENVR.XQ | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF); The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG); CPIA database, World Bank Group (WBG); Public Expenditure and Financial Accountability (PEFA), World Bank (WB). Cells with no value are not stored. |
| CPIA quality of budgetary and financial management rating (1=low to 6=high) | IQ.CPA.FINQ.XQ | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF); The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG); CPIA database, World Bank Group (WBG); Public Expenditure and Financial Accountability (PEFA), World Bank (WB). Cells with no value are not stored. |
World Development Indicators: Public sector (part 3 of 3)
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| CPIA financial sector rating (1=low to 6=high) | IQ.CPA.FINS.XQ | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: CPIA database, World Bank Group (WBG); Statistical Performance Indicators, World Bank (WB); UNODC Research - Data Portal – Intentional Homicide, UN Office on Drugs and Crime (UNODC); The Military Balance, International Institute for Strategic Studies; Internal Displacement Monitoring Centre (IDMC). Cells with no value are not stored. |
| CPIA fiscal policy rating (1=low to 6=high) | IQ.CPA.FISP.XQ | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: CPIA database, World Bank Group (WBG); Statistical Performance Indicators, World Bank (WB); UNODC Research - Data Portal – Intentional Homicide, UN Office on Drugs and Crime (UNODC); The Military Balance, International Institute for Strategic Studies; Internal Displacement Monitoring Centre (IDMC). Cells with no value are not stored. |
| CPIA gender equality rating (1=low to 6=high) | IQ.CPA.GNDR.XQ | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: CPIA database, World Bank Group (WBG); Statistical Performance Indicators, World Bank (WB); UNODC Research - Data Portal – Intentional Homicide, UN Office on Drugs and Crime (UNODC); The Military Balance, International Institute for Strategic Studies; Internal Displacement Monitoring Centre (IDMC). Cells with no value are not stored. |
| CPIA building human resources rating (1=low to 6=high) | IQ.CPA.HRES.XQ | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: CPIA database, World Bank Group (WBG); Statistical Performance Indicators, World Bank (WB); UNODC Research - Data Portal – Intentional Homicide, UN Office on Drugs and Crime (UNODC); The Military Balance, International Institute for Strategic Studies; Internal Displacement Monitoring Centre (IDMC). Cells with no value are not stored. |
| IDA resource allocation index (1=low to 6=high) | IQ.CPA.IRAI.XQ | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: CPIA database, World Bank Group (WBG); Statistical Performance Indicators, World Bank (WB); UNODC Research - Data Portal – Intentional Homicide, UN Office on Drugs and Crime (UNODC); The Military Balance, International Institute for Strategic Studies; Internal Displacement Monitoring Centre (IDMC). Cells with no value are not stored. |
| CPIA macroeconomic management rating (1=low to 6=high) | IQ.CPA.MACR.XQ | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: CPIA database, World Bank Group (WBG); Statistical Performance Indicators, World Bank (WB); UNODC Research - Data Portal – Intentional Homicide, UN Office on Drugs and Crime (UNODC); The Military Balance, International Institute for Strategic Studies; Internal Displacement Monitoring Centre (IDMC). Cells with no value are not stored. |
| CPIA quality of public administration rating (1=low to 6=high) | IQ.CPA.PADM.XQ | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: CPIA database, World Bank Group (WBG); Statistical Performance Indicators, World Bank (WB); UNODC Research - Data Portal – Intentional Homicide, UN Office on Drugs and Crime (UNODC); The Military Balance, International Institute for Strategic Studies; Internal Displacement Monitoring Centre (IDMC). Cells with no value are not stored. |
| CPIA equity of public resource use rating (1=low to 6=high) | IQ.CPA.PRES.XQ | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: CPIA database, World Bank Group (WBG); Statistical Performance Indicators, World Bank (WB); UNODC Research - Data Portal – Intentional Homicide, UN Office on Drugs and Crime (UNODC); The Military Balance, International Institute for Strategic Studies; Internal Displacement Monitoring Centre (IDMC). Cells with no value are not stored. |
| CPIA property rights and rule-based governance rating (1=low to 6=high) | IQ.CPA.PROP.XQ | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: CPIA database, World Bank Group (WBG); Statistical Performance Indicators, World Bank (WB); UNODC Research - Data Portal – Intentional Homicide, UN Office on Drugs and Crime (UNODC); The Military Balance, International Institute for Strategic Studies; Internal Displacement Monitoring Centre (IDMC). Cells with no value are not stored. |
| CPIA social protection rating (1=low to 6=high) | IQ.CPA.PROT.XQ | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: CPIA database, World Bank Group (WBG); Statistical Performance Indicators, World Bank (WB); UNODC Research - Data Portal – Intentional Homicide, UN Office on Drugs and Crime (UNODC); The Military Balance, International Institute for Strategic Studies; Internal Displacement Monitoring Centre (IDMC). Cells with no value are not stored. |
| CPIA efficiency of revenue mobilization rating (1=low to 6=high) | IQ.CPA.REVN.XQ | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: CPIA database, World Bank Group (WBG); Statistical Performance Indicators, World Bank (WB); UNODC Research - Data Portal – Intentional Homicide, UN Office on Drugs and Crime (UNODC); The Military Balance, International Institute for Strategic Studies; Internal Displacement Monitoring Centre (IDMC). Cells with no value are not stored. |
| CPIA policies for social inclusion/equity cluster average (1=low to 6=high) | IQ.CPA.SOCI.XQ | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: CPIA database, World Bank Group (WBG); Statistical Performance Indicators, World Bank (WB); UNODC Research - Data Portal – Intentional Homicide, UN Office on Drugs and Crime (UNODC); The Military Balance, International Institute for Strategic Studies; Internal Displacement Monitoring Centre (IDMC). Cells with no value are not stored. |
| CPIA structural policies cluster average (1=low to 6=high) | IQ.CPA.STRC.XQ | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: CPIA database, World Bank Group (WBG); Statistical Performance Indicators, World Bank (WB); UNODC Research - Data Portal – Intentional Homicide, UN Office on Drugs and Crime (UNODC); The Military Balance, International Institute for Strategic Studies; Internal Displacement Monitoring Centre (IDMC). Cells with no value are not stored. |
| CPIA trade rating (1=low to 6=high) | IQ.CPA.TRAD.XQ | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: CPIA database, World Bank Group (WBG); Statistical Performance Indicators, World Bank (WB); UNODC Research - Data Portal – Intentional Homicide, UN Office on Drugs and Crime (UNODC); The Military Balance, International Institute for Strategic Studies; Internal Displacement Monitoring Centre (IDMC). Cells with no value are not stored. |
| CPIA transparency, accountability, and corruption in the public sector rating (1=low to 6=high) | IQ.CPA.TRAN.XQ | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: CPIA database, World Bank Group (WBG); Statistical Performance Indicators, World Bank (WB); UNODC Research - Data Portal – Intentional Homicide, UN Office on Drugs and Crime (UNODC); The Military Balance, International Institute for Strategic Studies; Internal Displacement Monitoring Centre (IDMC). Cells with no value are not stored. |
| Statistical performance indicators (SPI): Overall score (scale 0-100) | IQ.SPI.OVRL | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: CPIA database, World Bank Group (WBG); Statistical Performance Indicators, World Bank (WB); UNODC Research - Data Portal – Intentional Homicide, UN Office on Drugs and Crime (UNODC); The Military Balance, International Institute for Strategic Studies; Internal Displacement Monitoring Centre (IDMC). Cells with no value are not stored. |
| Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100) | IQ.SPI.PIL1 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: CPIA database, World Bank Group (WBG); Statistical Performance Indicators, World Bank (WB); UNODC Research - Data Portal – Intentional Homicide, UN Office on Drugs and Crime (UNODC); The Military Balance, International Institute for Strategic Studies; Internal Displacement Monitoring Centre (IDMC). Cells with no value are not stored. |
| Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100) | IQ.SPI.PIL2 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: CPIA database, World Bank Group (WBG); Statistical Performance Indicators, World Bank (WB); UNODC Research - Data Portal – Intentional Homicide, UN Office on Drugs and Crime (UNODC); The Military Balance, International Institute for Strategic Studies; Internal Displacement Monitoring Centre (IDMC). Cells with no value are not stored. |
| Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100) | IQ.SPI.PIL3 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: CPIA database, World Bank Group (WBG); Statistical Performance Indicators, World Bank (WB); UNODC Research - Data Portal – Intentional Homicide, UN Office on Drugs and Crime (UNODC); The Military Balance, International Institute for Strategic Studies; Internal Displacement Monitoring Centre (IDMC). Cells with no value are not stored. |
| Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100) | IQ.SPI.PIL4 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: CPIA database, World Bank Group (WBG); Statistical Performance Indicators, World Bank (WB); UNODC Research - Data Portal – Intentional Homicide, UN Office on Drugs and Crime (UNODC); The Military Balance, International Institute for Strategic Studies; Internal Displacement Monitoring Centre (IDMC). Cells with no value are not stored. |
| Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100) | IQ.SPI.PIL5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: CPIA database, World Bank Group (WBG); Statistical Performance Indicators, World Bank (WB); UNODC Research - Data Portal – Intentional Homicide, UN Office on Drugs and Crime (UNODC); The Military Balance, International Institute for Strategic Studies; Internal Displacement Monitoring Centre (IDMC). Cells with no value are not stored. |
| Armed forces personnel, total | MS.MIL.TOTL.P1 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: CPIA database, World Bank Group (WBG); Statistical Performance Indicators, World Bank (WB); UNODC Research - Data Portal – Intentional Homicide, UN Office on Drugs and Crime (UNODC); The Military Balance, International Institute for Strategic Studies; Internal Displacement Monitoring Centre (IDMC). Cells with no value are not stored. |
| Armed forces personnel (% of total labor force) | MS.MIL.TOTL.TF.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: CPIA database, World Bank Group (WBG); Statistical Performance Indicators, World Bank (WB); UNODC Research - Data Portal – Intentional Homicide, UN Office on Drugs and Crime (UNODC); The Military Balance, International Institute for Strategic Studies; Internal Displacement Monitoring Centre (IDMC). Cells with no value are not stored. |
| Proportion of seats held by women in national parliaments (%) | SG.GEN.PARL.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: CPIA database, World Bank Group (WBG); Statistical Performance Indicators, World Bank (WB); UNODC Research - Data Portal – Intentional Homicide, UN Office on Drugs and Crime (UNODC); The Military Balance, International Institute for Strategic Studies; Internal Displacement Monitoring Centre (IDMC). Cells with no value are not stored. |
| Battle-related deaths (number of people) | VC.BTL.DETH | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: CPIA database, World Bank Group (WBG); Statistical Performance Indicators, World Bank (WB); UNODC Research - Data Portal – Intentional Homicide, UN Office on Drugs and Crime (UNODC); The Military Balance, International Institute for Strategic Studies; Internal Displacement Monitoring Centre (IDMC). Cells with no value are not stored. |
| Internally displaced persons, new displacement associated with conflict and violence (number of cases) | VC.IDP.NWCV | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: CPIA database, World Bank Group (WBG); Statistical Performance Indicators, World Bank (WB); UNODC Research - Data Portal – Intentional Homicide, UN Office on Drugs and Crime (UNODC); The Military Balance, International Institute for Strategic Studies; Internal Displacement Monitoring Centre (IDMC). Cells with no value are not stored. |
| Internally displaced persons, new displacement associated with disasters (number of cases) | VC.IDP.NWDS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: CPIA database, World Bank Group (WBG); Statistical Performance Indicators, World Bank (WB); UNODC Research - Data Portal – Intentional Homicide, UN Office on Drugs and Crime (UNODC); The Military Balance, International Institute for Strategic Studies; Internal Displacement Monitoring Centre (IDMC). Cells with no value are not stored. |
| Intentional homicides, female (per 100,000 female) | VC.IHR.PSRC.FE.P5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: CPIA database, World Bank Group (WBG); Statistical Performance Indicators, World Bank (WB); UNODC Research - Data Portal – Intentional Homicide, UN Office on Drugs and Crime (UNODC); The Military Balance, International Institute for Strategic Studies; Internal Displacement Monitoring Centre (IDMC). Cells with no value are not stored. |
| Intentional homicides, male (per 100,000 male) | VC.IHR.PSRC.MA.P5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: CPIA database, World Bank Group (WBG); Statistical Performance Indicators, World Bank (WB); UNODC Research - Data Portal – Intentional Homicide, UN Office on Drugs and Crime (UNODC); The Military Balance, International Institute for Strategic Studies; Internal Displacement Monitoring Centre (IDMC). Cells with no value are not stored. |
| Intentional homicides (per 100,000 people) | VC.IHR.PSRC.P5 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: CPIA database, World Bank Group (WBG); Statistical Performance Indicators, World Bank (WB); UNODC Research - Data Portal – Intentional Homicide, UN Office on Drugs and Crime (UNODC); The Military Balance, International Institute for Strategic Studies; Internal Displacement Monitoring Centre (IDMC). Cells with no value are not stored. |
World Development Indicators: Science and technology
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Technicians in R&D (per million people) | SP.POP.TECH.RD.P6 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: UNESCO Institute of Statistics (UIS), UN Educational, Scientific and Cultural Organization (UNESCO). Cells with no value are not stored. |
World Development Indicators: Social protection and labour (part 1 of 5)
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Child employment in agriculture, female (% of female economically active children ages 7-14) | SL.AGR.0714.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Child employment in agriculture, male (% of male economically active children ages 7-14) | SL.AGR.0714.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Child employment in agriculture (% of economically active children ages 7-14) | SL.AGR.0714.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Employment to population ratio, ages 15-24, female (%) (national estimate) | SL.EMP.1524.SP.FE.NE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) | SL.EMP.1524.SP.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Employment to population ratio, ages 15-24, male (%) (national estimate) | SL.EMP.1524.SP.MA.NE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Employment to population ratio, ages 15-24, male (%) (modeled ILO estimate) | SL.EMP.1524.SP.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Employment to population ratio, ages 15-24, total (%) (national estimate) | SL.EMP.1524.SP.NE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) | SL.EMP.1524.SP.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Employers, female (% of female employment) (modeled ILO estimate) | SL.EMP.MPYR.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Employers, male (% of male employment) (modeled ILO estimate) | SL.EMP.MPYR.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Employers, total (% of total employment) (modeled ILO estimate) | SL.EMP.MPYR.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Self-employed, female (% of female employment) (modeled ILO estimate) | SL.EMP.SELF.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Self-employed, male (% of male employment) (modeled ILO estimate) | SL.EMP.SELF.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Self-employed, total (% of total employment) (modeled ILO estimate) | SL.EMP.SELF.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Female share of employment in senior and middle management (%) | SL.EMP.SMGT.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Employment to population ratio, 15+, female (%) (national estimate) | SL.EMP.TOTL.SP.FE.NE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Employment to population ratio, 15+, female (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Employment to population ratio, 15+, male (%) (national estimate) | SL.EMP.TOTL.SP.MA.NE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Employment to population ratio, 15+, male (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Employment to population ratio, 15+, total (%) (national estimate) | SL.EMP.TOTL.SP.NE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Employment to population ratio, 15+, total (%) (modeled ILO estimate) | SL.EMP.TOTL.SP.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Vulnerable employment, female (% of female employment) (modeled ILO estimate) | SL.EMP.VULN.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Vulnerable employment, male (% of male employment) (modeled ILO estimate) | SL.EMP.VULN.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Vulnerable employment, total (% of total employment) (modeled ILO estimate) | SL.EMP.VULN.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Wage and salaried workers, female (% of female employment) (modeled ILO estimate) | SL.EMP.WORK.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Wage and salaried workers, male (% of male employment) (modeled ILO estimate) | SL.EMP.WORK.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Wage and salaried workers, total (% of total employment) (modeled ILO estimate) | SL.EMP.WORK.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Children in employment, unpaid family workers, female (% of female children in employment, ages 7-14) | SL.FAM.0714.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Children in employment, unpaid family workers, male (% of male children in employment, ages 7-14) | SL.FAM.0714.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
World Development Indicators: Social protection and labour (part 2 of 5)
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Children in employment, unpaid family workers (% of children in employment, ages 7-14) | SL.FAM.0714.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Contributing family workers, female (% of female employment) (modeled ILO estimate) | SL.FAM.WORK.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Contributing family workers, male (% of male employment) (modeled ILO estimate) | SL.FAM.WORK.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Contributing family workers, total (% of total employment) (modeled ILO estimate) | SL.FAM.WORK.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| GDP per person employed (constant 2021 PPP $) | SL.GDP.PCAP.EM.KD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Employment in industry, female (% of female employment) (modeled ILO estimate) | SL.IND.EMPL.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Employment in industry, male (% of male employment) (modeled ILO estimate) | SL.IND.EMPL.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Employment in industry (% of total employment) (modeled ILO estimate) | SL.IND.EMPL.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Child employment in manufacturing, female (% of female economically active children ages 7-14) | SL.MNF.0714.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Child employment in manufacturing, male (% of male economically active children ages 7-14) | SL.MNF.0714.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Child employment in manufacturing (% of economically active children ages 7-14) | SL.MNF.0714.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Children in employment, self-employed, female (% of female children in employment, ages 7-14) | SL.SLF.0714.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Children in employment, self-employed, male (% of male children in employment, ages 7-14) | SL.SLF.0714.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Children in employment, self-employed (% of children in employment, ages 7-14) | SL.SLF.0714.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Child employment in services, female (% of female economically active children ages 7-14) | SL.SRV.0714.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Child employment in services, male (% of male economically active children ages 7-14) | SL.SRV.0714.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Child employment in services (% of economically active children ages 7-14) | SL.SRV.0714.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Employment in services, female (% of female employment) (modeled ILO estimate) | SL.SRV.EMPL.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Employment in services, male (% of male employment) (modeled ILO estimate) | SL.SRV.EMPL.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Employment in services (% of total employment) (modeled ILO estimate) | SL.SRV.EMPL.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Children in employment, female (% of female children ages 7-14) | SL.TLF.0714.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Children in employment, male (% of male children ages 7-14) | SL.TLF.0714.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Average working hours of children, study and work, female, ages 7-14 (hours per week) | SL.TLF.0714.SW.FE.TM | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Children in employment, study and work, female (% of female children in employment, ages 7-14) | SL.TLF.0714.SW.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Average working hours of children, study and work, male, ages 7-14 (hours per week) | SL.TLF.0714.SW.MA.TM | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Children in employment, study and work, male (% of male children in employment, ages 7-14) | SL.TLF.0714.SW.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Average working hours of children, study and work, ages 7-14 (hours per week) | SL.TLF.0714.SW.TM | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Children in employment, study and work (% of children in employment, ages 7-14) | SL.TLF.0714.SW.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Average working hours of children, working only, female, ages 7-14 (hours per week) | SL.TLF.0714.WK.FE.TM | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Staff estimates, World Bank (WB). Cells with no value are not stored. |
| Children in employment, work only, female (% of female children in employment, ages 7-14) | SL.TLF.0714.WK.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Staff estimates, World Bank (WB). Cells with no value are not stored. |
World Development Indicators: Social protection and labour (part 3 of 5)
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Average working hours of children, working only, male, ages 7-14 (hours per week) | SL.TLF.0714.WK.MA.TM | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Children in employment, work only, male (% of male children in employment, ages 7-14) | SL.TLF.0714.WK.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Average working hours of children, working only, ages 7-14 (hours per week) | SL.TLF.0714.WK.TM | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Children in employment, work only (% of children in employment, ages 7-14) | SL.TLF.0714.WK.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Children in employment, total (% of children ages 7-14) | SL.TLF.0714.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Labor force participation rate for ages 15-24, female (%) (national estimate) | SL.TLF.ACTI.1524.FE.NE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Labor force participation rate for ages 15-24, female (%) (modeled ILO estimate) | SL.TLF.ACTI.1524.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Labor force participation rate for ages 15-24, male (%) (national estimate) | SL.TLF.ACTI.1524.MA.NE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Labor force participation rate for ages 15-24, male (%) (modeled ILO estimate) | SL.TLF.ACTI.1524.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Labor force participation rate for ages 15-24, total (%) (national estimate) | SL.TLF.ACTI.1524.NE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Labor force participation rate for ages 15-24, total (%) (modeled ILO estimate) | SL.TLF.ACTI.1524.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Labor force participation rate, female (% of female population ages 15-64) (modeled ILO estimate) | SL.TLF.ACTI.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Labor force participation rate, male (% of male population ages 15-64) (modeled ILO estimate) | SL.TLF.ACTI.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Labor force participation rate, total (% of total population ages 15-64) (modeled ILO estimate) | SL.TLF.ACTI.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Labor force with advanced education, female (% of female working-age population with advanced education) | SL.TLF.ADVN.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Labor force with advanced education, male (% of male working-age population with advanced education) | SL.TLF.ADVN.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Labor force with advanced education (% of total working-age population with advanced education) | SL.TLF.ADVN.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Labor force with basic education, female (% of female working-age population with basic education) | SL.TLF.BASC.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Labor force with basic education, male (% of male working-age population with basic education) | SL.TLF.BASC.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Labor force with basic education (% of total working-age population with basic education) | SL.TLF.BASC.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Labor force participation rate, female (% of female population ages 15+) (national estimate) | SL.TLF.CACT.FE.NE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Ratio of female to male labor force participation rate (%) (national estimate) | SL.TLF.CACT.FM.NE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Ratio of female to male labor force participation rate (%) (modeled ILO estimate) | SL.TLF.CACT.FM.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Labor force participation rate, male (% of male population ages 15+) (national estimate) | SL.TLF.CACT.MA.NE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Labor force participation rate, total (% of total population ages 15+) (national estimate) | SL.TLF.CACT.NE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) | SL.TLF.CACT.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Labor force with intermediate education, female (% of female working-age population with intermediate education) | SL.TLF.INTM.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF). Cells with no value are not stored. |
| Labor force with intermediate education, male (% of male working-age population with intermediate education) | SL.TLF.INTM.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF). Cells with no value are not stored. |
World Development Indicators: Social protection and labour (part 4 of 5)
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Labor force with intermediate education (% of total working-age population with intermediate education) | SL.TLF.INTM.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Wages and Working Time Statistics database (COND), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO). Cells with no value are not stored. |
| Part time employment, female (% of total female employment) | SL.TLF.PART.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Wages and Working Time Statistics database (COND), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO). Cells with no value are not stored. |
| Part time employment, male (% of total male employment) | SL.TLF.PART.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Wages and Working Time Statistics database (COND), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO). Cells with no value are not stored. |
| Part time employment, total (% of total employment) | SL.TLF.PART.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Wages and Working Time Statistics database (COND), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO). Cells with no value are not stored. |
| Unemployment, youth female (% of female labor force ages 15-24) (national estimate) | SL.UEM.1524.FE.NE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Wages and Working Time Statistics database (COND), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO). Cells with no value are not stored. |
| Unemployment, youth female (% of female labor force ages 15-24) (modeled ILO estimate) | SL.UEM.1524.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Wages and Working Time Statistics database (COND), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO). Cells with no value are not stored. |
| Unemployment, youth male (% of male labor force ages 15-24) (national estimate) | SL.UEM.1524.MA.NE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Wages and Working Time Statistics database (COND), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO). Cells with no value are not stored. |
| Unemployment, youth male (% of male labor force ages 15-24) (modeled ILO estimate) | SL.UEM.1524.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Wages and Working Time Statistics database (COND), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO). Cells with no value are not stored. |
| Unemployment, youth total (% of total labor force ages 15-24) (national estimate) | SL.UEM.1524.NE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Wages and Working Time Statistics database (COND), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO). Cells with no value are not stored. |
| Unemployment, youth total (% of total labor force ages 15-24) (modeled ILO estimate) | SL.UEM.1524.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Wages and Working Time Statistics database (COND), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO). Cells with no value are not stored. |
| Unemployment with advanced education, female (% of female labor force with advanced education) | SL.UEM.ADVN.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Wages and Working Time Statistics database (COND), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO). Cells with no value are not stored. |
| Unemployment with advanced education, male (% of male labor force with advanced education) | SL.UEM.ADVN.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Wages and Working Time Statistics database (COND), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO). Cells with no value are not stored. |
| Unemployment with advanced education (% of total labor force with advanced education) | SL.UEM.ADVN.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Wages and Working Time Statistics database (COND), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO). Cells with no value are not stored. |
| Unemployment with basic education, female (% of female labor force with basic education) | SL.UEM.BASC.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Wages and Working Time Statistics database (COND), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO). Cells with no value are not stored. |
| Unemployment with basic education, male (% of male labor force with basic education) | SL.UEM.BASC.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Wages and Working Time Statistics database (COND), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO). Cells with no value are not stored. |
| Unemployment with basic education (% of total labor force with basic education) | SL.UEM.BASC.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Wages and Working Time Statistics database (COND), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO). Cells with no value are not stored. |
| Unemployment with intermediate education, female (% of female labor force with intermediate education) | SL.UEM.INTM.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Wages and Working Time Statistics database (COND), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO). Cells with no value are not stored. |
| Unemployment with intermediate education, male (% of male labor force with intermediate education) | SL.UEM.INTM.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Wages and Working Time Statistics database (COND), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO). Cells with no value are not stored. |
| Unemployment with intermediate education (% of total labor force with intermediate education) | SL.UEM.INTM.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Wages and Working Time Statistics database (COND), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO). Cells with no value are not stored. |
| Share of youth not in education, employment or training, female (% of female youth population) (modeled ILO estimate) | SL.UEM.NEET.FE.ME.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Wages and Working Time Statistics database (COND), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO). Cells with no value are not stored. |
| Share of youth not in education, employment or training, female (% of female youth population) | SL.UEM.NEET.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Wages and Working Time Statistics database (COND), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO). Cells with no value are not stored. |
| Share of youth not in education, employment or training, male (% of male youth population) (modeled ILO estimate) | SL.UEM.NEET.MA.ME.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Wages and Working Time Statistics database (COND), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO). Cells with no value are not stored. |
| Share of youth not in education, employment or training, male (% of male youth population) | SL.UEM.NEET.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Wages and Working Time Statistics database (COND), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO). Cells with no value are not stored. |
| Share of youth not in education, employment or training, total (% of youth population) (modeled ILO estimate) | SL.UEM.NEET.ME.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Wages and Working Time Statistics database (COND), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO). Cells with no value are not stored. |
| Share of youth not in education, employment or training, total (% of youth population) | SL.UEM.NEET.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Wages and Working Time Statistics database (COND), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO). Cells with no value are not stored. |
| Unemployment, female (% of female labor force) (national estimate) | SL.UEM.TOTL.FE.NE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Wages and Working Time Statistics database (COND), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO). Cells with no value are not stored. |
| Unemployment, male (% of male labor force) (national estimate) | SL.UEM.TOTL.MA.NE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Wages and Working Time Statistics database (COND), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO). Cells with no value are not stored. |
| Unemployment, total (% of total labor force) (national estimate) | SL.UEM.TOTL.NE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Wages and Working Time Statistics database (COND), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO). Cells with no value are not stored. |
| Children in employment, wage workers, female (% of female children in employment, ages 7-14) | SL.WAG.0714.FE.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Wages and Working Time Statistics database (COND), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO). Cells with no value are not stored. |
| Children in employment, wage workers, male (% of male children in employment, ages 7-14) | SL.WAG.0714.MA.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Education and Mismatch Indicators database (EMI), International Labour Organization (ILO); Labour Force Statistics database (LFS), International Labour Organization (ILO); ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO); Wages and Working Time Statistics database (COND), International Labour Organization (ILO); Understanding Children's Work, International Labour Organization (ILO). Cells with no value are not stored. |
World Development Indicators: Social protection and labour (part 5 of 5)
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Children in employment, wage workers (% of children in employment, ages 7-14) | SL.WAG.0714.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, World Bank (WB); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Adequacy of social protection and labor programs (% of total welfare of beneficiary households) | per_allsp.adq_pop_tot | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, World Bank (WB); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Benefit incidence of social protection and labor programs to poorest quintile (% of total SPL benefits) | per_allsp.ben_q1_tot | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, World Bank (WB); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Coverage of social protection and labor programs (% of population) | per_allsp.cov_pop_tot | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, World Bank (WB); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Adequacy of unemployment benefits and ALMP (% of total welfare of beneficiary households) | per_lm_alllm.adq_pop_tot | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, World Bank (WB); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Benefit incidence of unemployment benefits and ALMP to poorest quintile (% of total U/ALMP benefits) | per_lm_alllm.ben_q1_tot | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, World Bank (WB); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Coverage of unemployment benefits and ALMP (% of population) | per_lm_alllm.cov_pop_tot | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, World Bank (WB); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Coverage of unemployment benefits and ALMP in poorest quintile (% of population) | per_lm_alllm.cov_q1_tot | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, World Bank (WB); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Coverage of unemployment benefits and ALMP in 2nd quintile (% of population) | per_lm_alllm.cov_q2_tot | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, World Bank (WB); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Coverage of unemployment benefits and ALMP in 3rd quintile (% of population) | per_lm_alllm.cov_q3_tot | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, World Bank (WB); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Coverage of unemployment benefits and ALMP in 4th quintile (% of population) | per_lm_alllm.cov_q4_tot | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, World Bank (WB); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Coverage of unemployment benefits and ALMP in richest quintile (% of population) | per_lm_alllm.cov_q5_tot | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, World Bank (WB); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Adequacy of social safety net programs (% of total welfare of beneficiary households) | per_sa_allsa.adq_pop_tot | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, World Bank (WB); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Benefit incidence of social safety net programs to poorest quintile (% of total safety net benefits) | per_sa_allsa.ben_q1_tot | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, World Bank (WB); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Coverage of social safety net programs (% of population) | per_sa_allsa.cov_pop_tot | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, World Bank (WB); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Coverage of social safety net programs in poorest quintile (% of population) | per_sa_allsa.cov_q1_tot | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, World Bank (WB); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Coverage of social safety net programs in 2nd quintile (% of population) | per_sa_allsa.cov_q2_tot | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, World Bank (WB); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Coverage of social safety net programs in 3rd quintile (% of population) | per_sa_allsa.cov_q3_tot | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, World Bank (WB); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Coverage of social safety net programs in 4th quintile (% of population) | per_sa_allsa.cov_q4_tot | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, World Bank (WB); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Coverage of social safety net programs in richest quintile (% of population) | per_sa_allsa.cov_q5_tot | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, World Bank (WB); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Adequacy of social insurance programs (% of total welfare of beneficiary households) | per_si_allsi.adq_pop_tot | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, World Bank (WB); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Benefit incidence of social insurance programs to poorest quintile (% of total social insurance benefits) | per_si_allsi.ben_q1_tot | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, World Bank (WB); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Coverage of social insurance programs (% of population) | per_si_allsi.cov_pop_tot | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, World Bank (WB); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Coverage of social insurance programs in poorest quintile (% of population) | per_si_allsi.cov_q1_tot | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, World Bank (WB); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Coverage of social insurance programs in 2nd quintile (% of population) | per_si_allsi.cov_q2_tot | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, World Bank (WB); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Coverage of social insurance programs in 3rd quintile (% of population) | per_si_allsi.cov_q3_tot | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, World Bank (WB); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Coverage of social insurance programs in 4th quintile (% of population) | per_si_allsi.cov_q4_tot | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, World Bank (WB); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
| Coverage of social insurance programs in richest quintile (% of population) | per_si_allsi.cov_q5_tot | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, World Bank (WB); Understanding Children's Work, International Labour Organization (ILO); UN Children's Fund (UNICEF); World Bank (WB). Cells with no value are not stored. |
World Development Indicators: Trade
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Lead time to export, median case (days) | LP.EXP.DURS.MD | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: Logistic Performance Index Surveys, World Bank (WB); Turku School of Economics. Cells with no value are not stored. |
World Development Indicators: Urban development
World Bank Open Data · CC-BY-4.0 · dataset page
| Indicator | Code | Unit | Definition |
|---|---|---|---|
| Urban land area (sq. km) | AG.LND.TOTL.UR.K2 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Urbanization Prospects 2018, United Nations (UN); Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 2, Center For International Earth Science Information Network (CIESIN) - Columbi; Global Burden of Disease Study 2023 (GBD 2023) Air Pollution Exposure Estimates and Risk Curves 1990-2023, GBD Collaborator Network; Global Burden of Disease Study 2017 (GBD 2017), Institute for Health Metrics and Evaluation (IHME); FAO population estimates, Food and Agriculture Organization of the United Nations (FAO). Cells with no value are not stored. |
| PM2.5 air pollution, mean annual exposure (micrograms per cubic meter) | EN.ATM.PM25.MC.M3 | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Urbanization Prospects 2018, United Nations (UN); Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 2, Center For International Earth Science Information Network (CIESIN) - Columbi; Global Burden of Disease Study 2023 (GBD 2023) Air Pollution Exposure Estimates and Risk Curves 1990-2023, GBD Collaborator Network; Global Burden of Disease Study 2017 (GBD 2017), Institute for Health Metrics and Evaluation (IHME); FAO population estimates, Food and Agriculture Organization of the United Nations (FAO). Cells with no value are not stored. |
| PM2.5 air pollution, population exposed to levels exceeding WHO guideline value (% of total) | EN.ATM.PM25.MC.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Urbanization Prospects 2018, United Nations (UN); Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 2, Center For International Earth Science Information Network (CIESIN) - Columbi; Global Burden of Disease Study 2023 (GBD 2023) Air Pollution Exposure Estimates and Risk Curves 1990-2023, GBD Collaborator Network; Global Burden of Disease Study 2017 (GBD 2017), Institute for Health Metrics and Evaluation (IHME); FAO population estimates, Food and Agriculture Organization of the United Nations (FAO). Cells with no value are not stored. |
| Population density (people per sq. km of land area) | EN.POP.DNST | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Urbanization Prospects 2018, United Nations (UN); Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 2, Center For International Earth Science Information Network (CIESIN) - Columbi; Global Burden of Disease Study 2023 (GBD 2023) Air Pollution Exposure Estimates and Risk Curves 1990-2023, GBD Collaborator Network; Global Burden of Disease Study 2017 (GBD 2017), Institute for Health Metrics and Evaluation (IHME); FAO population estimates, Food and Agriculture Organization of the United Nations (FAO). Cells with no value are not stored. |
| Population in largest city | EN.URB.LCTY | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Urbanization Prospects 2018, United Nations (UN); Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 2, Center For International Earth Science Information Network (CIESIN) - Columbi; Global Burden of Disease Study 2023 (GBD 2023) Air Pollution Exposure Estimates and Risk Curves 1990-2023, GBD Collaborator Network; Global Burden of Disease Study 2017 (GBD 2017), Institute for Health Metrics and Evaluation (IHME); FAO population estimates, Food and Agriculture Organization of the United Nations (FAO). Cells with no value are not stored. |
| Population in the largest city (% of urban population) | EN.URB.LCTY.UR.ZS | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Urbanization Prospects 2018, United Nations (UN); Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 2, Center For International Earth Science Information Network (CIESIN) - Columbi; Global Burden of Disease Study 2023 (GBD 2023) Air Pollution Exposure Estimates and Risk Curves 1990-2023, GBD Collaborator Network; Global Burden of Disease Study 2017 (GBD 2017), Institute for Health Metrics and Evaluation (IHME); FAO population estimates, Food and Agriculture Organization of the United Nations (FAO). Cells with no value are not stored. |
| Population in urban agglomerations of more than 1 million | EN.URB.MCTY | — | Compiled by the World Bank in World Development Indicators from official national and international sources, listed against each indicator by the World Bank. Some series come from third parties, so their own terms may apply beyond the World Bank's CC BY 4.0: check the source named for the indicator before redistributing. Sources in this set include: World Urbanization Prospects 2018, United Nations (UN); Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 2, Center For International Earth Science Information Network (CIESIN) - Columbi; Global Burden of Disease Study 2023 (GBD 2023) Air Pollution Exposure Estimates and Risk Curves 1990-2023, GBD Collaborator Network; Global Burden of Disease Study 2017 (GBD 2017), Institute for Health Metrics and Evaluation (IHME); FAO population estimates, Food and Agriculture Organization of the United Nations (FAO). Cells with no value are not stored. |