mondo.international

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

IndicatorCodeUnitDefinition
Chain volume measures — Gross national income — Original — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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 — QuarterlyANA.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

IndicatorCodeUnitDefinition
MonthlyCBPOL.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

IndicatorCodeUnitDefinition
Monthly — Neither seasonally nor working day adjusted — HICP - Overall index — Eurostat — Annual rate of changeHICP.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

IndicatorCodeUnitDefinition
Population of active enterprises in t - numberBD.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 - numberBD.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 - numberBD.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 - numberBD.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 - numberBD.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 - numberBD.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 - numberBD.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 - numberBD.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 - numberBD.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 - numberBD.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 - numberBD.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 - numberBD.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 - percentageBD.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 - percentageBD.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 - percentageBD.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 - percentageBD.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 - percentageBD.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 - percentageBD.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 - percentageBD.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 - percentageBD.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 - percentageBD.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 - numberBD.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 - percentageBD.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 - percentageBD.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 - numberBD.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 - percentageBD.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 - percentageBD.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 - numberBD.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

IndicatorCodeUnitDefinition
Foreign countryCOMMUTE.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 regionCOMMUTE.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 responseCOMMUTE.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 regionCOMMUTE.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

IndicatorCodeUnitDefinition
Solid fossil fuelsNRGDEP.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.
AnthraciteNRGDEP.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 coalNRGDEP.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 coalNRGDEP.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 coalNRGDEP.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.
LigniteNRGDEP.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 gasNRGDEP.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 oilNRGDEP.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 liquidsNRGDEP.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.
PeatNRGDEP.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 sandsNRGDEP.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.
TotalNRGDEP.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

IndicatorCodeUnitDefinition
FIGARO.GROSS_EXPFIGARO.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

IndicatorCodeUnitDefinition
FIGARO.DVA_EXPFIGARO.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

IndicatorCodeUnitDefinition
NAMA_10_GDP.B1GQ.CP_MEURNAMA_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

IndicatorCodeUnitDefinition
Trade balance in million ECU/EUROMINFUEL.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/EUROMINFUEL.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/EUROMINFUEL.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

IndicatorCodeUnitDefinition
Trade balance in million ECU/EURORAWMAT.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/EURORAWMAT.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/EURORAWMAT.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

IndicatorCodeUnitDefinition
Euro per inhabitantNAMA_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 euroNAMA_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 inhabitantNAMA_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

IndicatorCodeUnitDefinition
NAMA_10R_3POPGDPNAMA_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

IndicatorCodeUnitDefinition
Nutrient nitrogen N (total) — Agricultural UseFAO.3102.5157t 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 UseFAO.3103.5157t 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 UseFAO.3104.5157t 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

IndicatorCodeUnitDefinition
Nutrient nitrogen N (total) — Import quantityFAOTM.3102.5610t 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 quantityFAOTM.3102.5910t 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 quantityFAOTM.3103.5610t 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 quantityFAOTM.3103.5910t 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 quantityFAOTM.3104.5610t 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 quantityFAOTM.3104.5910t 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

IndicatorCodeUnitDefinition
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

IndicatorCodeUnitDefinition
Imports of goods, Cost insurance freight (CIF), US dollar — AnnualIMTS.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 — AnnualIMTS.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

IndicatorCodeUnitDefinition
Aluminum, world pricePCPS.PALUMUSD 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 pricePCPS.PCOBAUSD 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 pricePCPS.PCOPPUSD 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 pricePCPS.PDAPUSD 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 pricePCPS.PGOLDUSD 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 pricePCPS.PIORECRUSD 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 pricePCPS.PLEADUSD 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 pricePCPS.PLITHUSD 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 pricePCPS.PNICKUSD 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 pricePCPS.PPLATUSD 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 pricePCPS.PPOTASHUSD 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 pricePCPS.PSILVERUSD 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 pricePCPS.PTINUSD 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 pricePCPS.PUREAUSD 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 pricePCPS.PZINCUSD 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

IndicatorCodeUnitDefinition
Inward direct investment position, netDIP.INWD_D_NETLA_FALL_FEUSD 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, netDIP.OTWD_D_NETAL_FALL_FEUSD 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

IndicatorCodeUnitDefinition
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

IndicatorCodeUnitDefinition
Capital expenditure of Scoreboard companies headquartered herecapital-expenditureEUR 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 herecompaniescompanies 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 hereemployeespersons 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 heremarket-capitalisationEUR 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 herenet-salesEUR 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 hereprofitsEUR 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 hererd-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 hererd-investmentEUR 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

IndicatorCodeUnitDefinition
Shannon entropy of destination sharesdest.entropynats 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 destinationsdest.entropy_norm0-1 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 destinationsdest.gini0-1 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 sharesdest.hhiindex, 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 destinationsdest.hhi_normalised0-1 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 flowdest.partnerspartners 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 sharedest.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

IndicatorCodeUnitDefinition
Partner concentration (HHI, 0-10000) (gross)gross.hhi_outindex 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_degreepartners 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_outindex 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_degreepartners 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 exportsva_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

IndicatorCodeUnitDefinition
Construction [23] · Opening businessesv1203704933Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704934Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203704156Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203704157Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203704158Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203704159Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704160Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704161Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704162Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704163Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704164Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704165Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704166Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704167Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704168Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704172Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704173Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704174Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704175Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704176Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704177Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704178Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704179Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704180Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704181Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704182Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704183Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704184Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704185Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704186Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704187Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704188Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704189Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704190Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704191Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704192Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704193Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704194Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704195Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704196Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704197Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704198Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704199Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704200Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704201Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704202Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704203Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704204Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704205Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704206Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704207Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704208Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704209Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704210Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704211Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704212Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704213Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704214Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704215Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704216Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704217Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704218Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704219Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704220Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704221Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704222Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704223Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704224Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704225Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704226Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704227Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704228Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704229Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704230Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704231Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203704232Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203704233Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203704234Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203704235Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704236Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704240Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704248Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704249Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704250Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704251Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704252Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704256Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704260Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704261Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704262Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704263Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704264Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704268Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704272Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704276Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704277Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704278Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704279Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704280Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704281Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704282Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704283Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704284Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704288Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704292Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704293Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704294Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704295Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704296Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704300Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704301Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704302Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704303Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704304Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704305Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704306Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704307Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203704308Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203704309Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203704310Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203704311Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203704384Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203704385Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203704386Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203704387Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704400Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704404Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704408Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704412Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704416Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704420Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704424Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704428Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704432Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704436Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704440Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704444Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704448Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704452Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704456Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203704460Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203704461Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203704462Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203704463Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704464Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704468Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704472Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704476Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704477Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704478Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704479Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704480Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704481Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704482Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704483Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704484Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704488Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704489Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704490Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704491Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704492Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704493Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704494Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704495Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704496Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704500Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704504Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704505Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704506Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704507Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704508Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704509Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704510Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704511Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704512Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704513Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704514Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704515Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704516Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704520Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704521Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704522Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704523Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704524Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704528Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704529Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704530Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704531Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704532Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704533Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704534Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704535Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203704536Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203704537Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203704538Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203704539Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203704612Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203704613Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203704614Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203704615Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704616Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704620Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704624Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704628Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704629Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704630Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704631Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704632Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704636Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704640Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704641Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704642Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704643Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704644Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704645Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704646Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704647Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704648Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704652Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704656Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704657Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704658Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704659Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704660Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704661Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704662Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704663Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704664Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704665Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704666Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704667Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704668Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704672Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704673Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704674Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704675Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704676Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704680Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704681Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704682Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704683Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704684Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704685Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704686Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704687Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203704688Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203704689Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203704690Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203704691Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203704764Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203704765Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203704766Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203704767Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203704840Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203704841Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203704842Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203704843Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704844Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704845Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704846Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704847Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704848Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704852Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704856Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704857Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704858Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704859Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704860Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704861Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704862Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704863Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704864Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704865Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704866Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704867Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704868Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704869Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704870Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704871Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704872Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704935Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704873Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704874Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704875Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704876Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704877Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704878Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704879Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704880Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704881Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704882Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704883Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704884Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704885Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704886Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704887Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704888Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704889Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704890Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704891Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704892Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704893Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704894Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704895Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704896Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704897Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704898Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704899Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704900Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704901Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704902Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704903Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704904Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704905Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704906Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704907Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704908Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704909Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704910Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704911Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704912Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704913Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704914Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704915Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203704916Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203704917Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203704918Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203704919Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704920Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704924Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704928Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704932Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704936Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704937Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704938Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704939Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704940Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704941Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704942Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704943Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704944Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704945Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704946Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704947Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704948Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704949Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704950Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704951Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704952Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704953Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704954Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704955Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704956Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704957Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704958Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704959Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704960Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704961Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704962Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704963Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704964Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704965Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704966Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704967Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704968Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704969Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704970Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704971Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704972Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704973Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704974Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704975Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704976Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704977Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704978Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704979Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704980Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704981Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704982Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704983Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704984Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704985Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704986Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704987Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704988Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704989Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704990Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203704991Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203704992Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203704993Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203704994Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203704995Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705068Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705069Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705070Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705071Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705144Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705145Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705146Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705147Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705220Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705221Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705222Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705223Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705296Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705297Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705298Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705299Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705300Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705301Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705302Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705303Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705304Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705308Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705312Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705313Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705314Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705315Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705316Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705317Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705318Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705319Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705320Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705321Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705322Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705323Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705324Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705325Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705326Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705327Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705328Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705329Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705330Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705331Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705332Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705333Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705334Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705335Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705336Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705337Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705338Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705339Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705340Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705341Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705342Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705343Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705344Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705345Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705346Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705347Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705348Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705349Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705350Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705351Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705352Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705353Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705354Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705355Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705356Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705357Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705358Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705359Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705360Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705361Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705362Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705363Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705364Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705365Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705366Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705367Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705368Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705369Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705370Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705371Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705372Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705373Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705374Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705375Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705448Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705449Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705450Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705451Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705524Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705525Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705526Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705527Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705600Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705601Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705602Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705603Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413617Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705676Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705677Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705678Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705679Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705752Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705753Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705754Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705755Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705768Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705772Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705776Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705780Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705784Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705788Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705792Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705796Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705800Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705804Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705808Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705812Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705816Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705820Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705824Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705828Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705829Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705830Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705831Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705840Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705844Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705845Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705846Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705847Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705848Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705852Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705856Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705857Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705858Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705859Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705860Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705861Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705862Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705863Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705864Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705868Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705869Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705870Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705871Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705872Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705876Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705877Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705878Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705879Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705880Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705884Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705888Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705889Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705890Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705891Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705892Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705896Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705897Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705898Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705899Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705900Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705901Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705902Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705903Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705904Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705905Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705906Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705907Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705980Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705981Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705982Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203705983Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705996Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705997Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705998Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203705999Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706000Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706004Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706008Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706009Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706010Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706011Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706012Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706013Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706014Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706015Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706016Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706020Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706024Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706028Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706029Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706030Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706031Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706032Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706033Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706034Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706035Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706036Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706040Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706041Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706042Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706043Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706044Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706048Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706049Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706050Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706051Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706052Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706053Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706054Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706055Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706056Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706057Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706058Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706059Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706132Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706133Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706134Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706135Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706148Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706149Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706150Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706151Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706152Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706156Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706160Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706164Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706168Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706172Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706176Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706180Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706181Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706182Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706183Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706184Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706188Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706192Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706196Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706200Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706204Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706208Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706209Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706210Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706211Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706284Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706285Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706286Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706287Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706360Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706361Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706362Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706363Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706436Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706437Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706438Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706439Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706440Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706444Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706448Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706452Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706453Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706454Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706455Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706456Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706457Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706458Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706459Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706460Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706461Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706462Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706463Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706464Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706465Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706466Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706467Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706468Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706469Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706470Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706471Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706472Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706473Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706474Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706475Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706476Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706477Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706478Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706479Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706480Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706481Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706482Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706483Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706484Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706485Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706486Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706487Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706488Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706489Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706490Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706491Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706492Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706493Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706494Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706495Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706496Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706497Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706498Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706499Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706500Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706501Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706502Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706503Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706504Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706505Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706506Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706507Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706508Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706509Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706510Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706511Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706512Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706513Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706514Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706515Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706588Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706589Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706590Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706591Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706592Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706596Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706604Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706605Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706606Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706607Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706608Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706609Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706610Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706611Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706612Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706613Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706614Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706615Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706616Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706617Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706618Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706619Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706620Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706621Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706622Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706623Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706624Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706628Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706629Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706630Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706631Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706632Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706633Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706634Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706635Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706636Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706637Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706638Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706639Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706640Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706641Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706642Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706643Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706644Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706648Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706649Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706650Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706651Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706652Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706656Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706657Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706658Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706659Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706660Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706661Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706662Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706663Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706664Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706665Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706666Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706667Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706672Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706680Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706681Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706682Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706683Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706684Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706688Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706692Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706693Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706694Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706695Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706696Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706697Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706698Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706699Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706700Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706704Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706705Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706706Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706707Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706708Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706709Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706710Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706711Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706712Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706713Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706714Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706715Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706716Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706717Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706789Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706718Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706719Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706720Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706724Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706725Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706726Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706727Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706728Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706732Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706733Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706734Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706735Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706736Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706737Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706738Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706739Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706740Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706741Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706742Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706743Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706744Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706748Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706749Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706750Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706751Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706752Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706756Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706757Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706758Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706759Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706760Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706761Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706762Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706763Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706764Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706768Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706769Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706770Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706771Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706772Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706773Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706774Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706775Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706776Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706780Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706781Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706782Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706783Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706784Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706785Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706786Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706787Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706788Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706790Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706791Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706792Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706793Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706794Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706795Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706796Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706800Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706801Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706802Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706803Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706804Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706808Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706809Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706810Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706811Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706812Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706813Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706814Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706815Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706816Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706817Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706818Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706819Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706892Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706893Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706894Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706895Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706968Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706969Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706970Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203706971Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706972Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706976Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706977Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706978Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706979Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706980Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706984Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706985Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706986Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706987Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706988Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706989Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706990Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706991Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706992Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706993Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706994Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706995Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706996Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706997Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706998Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203706999Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707000Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707001Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707002Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707003Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707004Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707005Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707006Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707007Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707008Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707009Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707010Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707011Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707012Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707013Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707014Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707015Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707016Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707017Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707018Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707019Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707020Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707021Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707022Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707023Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707024Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707025Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707026Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707027Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707028Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707029Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707030Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707031Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707032Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707033Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707034Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707035Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707036Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707037Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707038Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707039Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707040Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707041Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707042Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707043Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203707044Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203707045Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203707046Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203707047Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203707120Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203707121Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203707122Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203707123Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203707196Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203707197Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203707198Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203707199Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203707272Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203707273Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203707274Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203707275Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707276Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707277Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707278Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707279Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707280Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707281Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707282Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707283Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707284Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707288Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707289Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707290Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707291Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707292Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707293Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707294Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707295Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707296Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707297Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707298Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707299Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707300Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707301Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707302Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707303Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707304Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707305Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707306Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707307Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707308Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707309Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707310Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707311Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707312Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707313Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707314Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707315Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707316Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707317Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707318Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707319Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707320Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707321Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707322Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707323Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707324Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707325Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707326Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707327Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707328Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707329Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707330Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707331Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707332Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707333Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707334Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707335Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707336Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707337Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707338Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707339Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707340Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707341Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707342Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707343Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707344Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707345Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707346Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707347Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203707348Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203707349Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203707350Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203707351Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203707424Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203707425Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203707426Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203707427Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203707500Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203707501Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203707502Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203707503Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707504Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707508Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707512Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707516Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707517Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707518Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707519Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707520Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707521Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707522Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707523Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707524Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707525Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707526Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707527Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707528Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707529Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707530Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707531Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707532Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707533Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707534Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707535Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707536Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707537Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707538Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707539Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707540Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707541Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707542Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707543Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707544Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707545Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707546Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707547Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707548Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707549Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707550Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707551Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707552Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707553Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707554Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707555Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707556Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707557Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707558Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707559Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707560Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707561Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707562Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707563Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707564Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707565Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707566Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707567Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707568Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707569Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707570Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707571Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707572Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707573Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707574Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707575Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203707576Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203707577Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203707578Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203707579Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203707652Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203707653Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203707654Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203707655Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707660Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707668Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707672Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707676Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707680Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707684Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707688Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707692Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707696Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707700Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707704Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707708Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707712Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707716Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707720Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707724Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203707728Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203707729Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203707730Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203707731Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707744Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707748Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707752Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707756Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707760Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707764Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707768Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707772Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707776Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707780Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707788Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707792Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707796Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707800Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1203707804Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707820Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707832Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707836Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707844Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707848Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707852Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707856Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707864Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707872Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1203707876Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413605Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413606Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413607Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413608Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413609Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413610Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413611Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413612Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413621Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413622Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413623Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413624Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413629Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413630Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413631Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413632Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413641Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413642Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413643Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413644Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413645Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413646Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413647Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413648Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413665Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413666Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413667Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413668Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413689Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413693Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413694Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413695Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413696Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413701Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413702Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413703Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413704Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413709Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413725Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413726Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413727Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413728Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413733Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413734Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413735Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413736Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413737Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413738Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413739Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413740Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413741Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413742Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413743Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413744Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413753Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413754Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413755Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413756Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413769Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413770Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413771Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413772Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413781Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413782Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413783Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413784Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413789Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413793Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413797Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413801Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413802Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413803Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413804Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413805Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413813Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413817Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413825Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413837Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413838Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413839Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413840Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413841Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413861Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413862Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413863Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413864Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413885Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413889Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413897Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413905Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413921Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413922Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413923Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413924Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413929Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413933Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413937Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413949Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413965Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413966Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413967Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413968Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413977Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413985Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413989Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413993Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231413997Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414013Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414033Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414037Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414057Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414117Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414125Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414129Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414133Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414145Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414161Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414173Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414193Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414229Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414233Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414253Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414313Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414357Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414369Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414389Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414393Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414405Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414413Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414425Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414429Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414449Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414509Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414553Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414565Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414585Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414586Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414587Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414588Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414589Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414601Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414609Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414621Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414625Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414645Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414646Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414647Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414648Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414669Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414673Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414681Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414689Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414705Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414713Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414717Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414721Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414733Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414749Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414750Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414751Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414752Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414761Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414781Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414782Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414783Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414784Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414785Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414797Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414805Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414817Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414821Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414841Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414842Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414843Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414844Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414869Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414877Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414885Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414901Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414909Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414913Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414917Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414929Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414945Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414957Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414977Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414978Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414979Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414980Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414981Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414989Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231414993Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415001Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415013Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415014Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415015Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415016Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415017Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415018Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415019Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415020Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415037Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415038Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415039Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415040Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415061Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415065Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415073Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415081Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415097Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415098Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415099Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415100Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415105Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415109Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415113Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415125Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415126Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415127Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415128Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415141Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415142Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415143Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415144Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415153Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415154Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415155Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415156Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415161Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415165Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415173Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415174Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415175Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415176Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415177Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415185Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415189Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415197Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415209Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415213Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415233Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415234Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415235Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415236Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415257Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415261Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415269Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415277Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415293Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415301Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415305Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415309Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415321Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415322Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415323Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415324Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415337Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415338Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415339Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415340Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415349Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415357Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415361Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415365Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415369Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415370Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415371Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415372Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415373Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415381Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415385Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415386Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415387Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415388Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415393Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415394Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415395Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415396Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415405Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415406Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415407Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415408Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415409Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415410Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415411Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415412Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415429Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415430Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415431Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415432Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415453Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415457Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415465Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415466Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415467Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415468Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415473Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415489Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415490Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415491Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415492Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415497Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415498Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415499Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415500Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415501Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415505Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415506Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415507Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415508Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415517Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415518Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780506Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415519Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415520Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415533Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415534Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415535Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415536Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415545Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415546Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415547Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415548Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415553Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1231415557Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780270Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780271Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780272Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780273Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780274Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780282Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780286Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780294Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780306Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780307Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780308Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780309Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780310Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780330Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780331Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780332Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780333Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780354Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780358Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780366Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780374Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780390Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780391Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780392Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780393Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780398Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780402Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780406Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780418Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780434Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780435Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780436Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780437Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780446Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780466Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780467Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780468Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780469Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780470Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780482Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780490Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780502Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780526Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780554Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780562Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780586Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780594Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780598Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780602Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780614Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780630Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1247780642Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788765Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788766Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788767Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788768Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788769Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788770Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788771Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788772Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788777Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788778Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788779Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788780Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788781Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788782Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788783Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788784Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788789Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788790Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788791Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788792Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788801Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788802Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788803Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788804Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788805Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788806Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788807Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788808Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788825Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788826Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788827Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788828Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788849Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788850Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788851Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788852Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788853Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788854Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788855Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788856Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788861Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788862Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788863Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788864Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788869Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788870Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788871Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788872Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788885Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788886Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788887Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788888Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788893Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788894Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788895Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788896Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788897Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788898Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788899Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788900Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788901Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788902Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788903Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788904Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788913Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788914Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788915Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788916Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788929Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788930Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788931Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788932Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788941Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788942Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788943Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788944Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788949Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788950Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788951Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788952Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788953Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788954Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788955Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788956Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1247788957Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1271257923Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1271257924Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1271257926Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1271257927Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1271257929Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1271257932Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1271257938Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1271257955Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1271257957Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1271257960Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1271257964Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1271257972Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1271258021Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1271258119Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1271258168Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1271258217Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1271258266Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1271258315Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1271258364Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1271258413Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1271258462Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1271258511Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1271258560Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1271258609Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1271258658Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1271258707Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1271258756Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1271258805Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1271258854Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1271258903Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1271259099Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1271259197Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1271259246Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1271259295Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 businessesv1271259344Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1271259442Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1271259443Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1271259445Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1271259446Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1271259448Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1271259451Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1271259457Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1271259474Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1271259476Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1271259479Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 businessesv1271259483Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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] · Entrantsv1271259491Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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] · Entrantsv1271259492Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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] · Entrantsv1271259494Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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] · Entrantsv1271259495Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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] · Entrantsv1271259497Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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] · Entrantsv1271259500Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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] · Entrantsv1271259506Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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] · Entrantsv1271259523Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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] · Entrantsv1271259525Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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] · Entrantsv1271259528Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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] · Entrantsv1271259532Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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] · Entrantsv1271259540Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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] · Entrantsv1271259589Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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] · Entrantsv1271259687Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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] · Entrantsv1271259736Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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] · Entrantsv1271259785Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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] · Entrantsv1271259834Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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] · Entrantsv1271259883Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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] · Entrantsv1271259932Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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] · Entrantsv1271259981Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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] · Entrantsv1271260030Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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] · Entrantsv1271260079Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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] · Entrantsv1271260128Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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] · Entrantsv1271260177Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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] · Entrantsv1271260226Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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] · Entrantsv1271260275Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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] · Entrantsv1271260324Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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] · Entrantsv1271260373Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 · Entrantsv1271260422Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 · Entrantsv1271260471Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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] · Entrantsv1271260667Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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] · Entrantsv1271260765Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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] · Entrantsv1271260814Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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] · Entrantsv1271260863Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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] · Entrantsv1271260912Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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) · Entrantsv1271261010Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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) · Entrantsv1271261011Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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) · Entrantsv1271261013Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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) · Entrantsv1271261014Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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) · Entrantsv1271261016Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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) · Entrantsv1271261019Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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) · Entrantsv1271261025Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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) · Entrantsv1271261042Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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) · Entrantsv1271261044Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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) · Entrantsv1271261047Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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) · Entrantsv1271261051Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 closuresv1296953329Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 closuresv1296953330Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 closuresv1296953332Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 closuresv1296953333Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 closuresv1296953335Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 closuresv1296953338Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 closuresv1296953344Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 closuresv1296953361Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 closuresv1296953363Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 closuresv1296953366Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 closuresv1296953370Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 closuresv1296953378Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 closuresv1296953427Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 closuresv1296953525Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 closuresv1296953574Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 closuresv1296953623Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 closuresv1296953672Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 closuresv1296953721Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 closuresv1296953770Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 closuresv1296953819Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 closuresv1296953868Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 closuresv1296953917Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 closuresv1296953966Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 closuresv1296954015Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 closuresv1296954064Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 closuresv1296954113Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 closuresv1296954162Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 closuresv1296954211Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 closuresv1296954260Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 closuresv1296954309Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 closuresv1296954505Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 closuresv1296954554Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 closuresv1296954603Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 closuresv1296954652Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 closuresv1296954701Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 closuresv1296954750Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 closuresv1296954848Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 closuresv1296954849Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 closuresv1296954851Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 closuresv1296954852Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 closuresv1296954854Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 closuresv1296954857Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 closuresv1296954863Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 closuresv1296954880Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 closuresv1296954882Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 closuresv1296954885Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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 closuresv1296954889Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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] · Exitsv1296954897Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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] · Exitsv1296954898Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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] · Exitsv1296954900Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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] · Exitsv1296954901Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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] · Exitsv1296954903Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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] · Exitsv1296954906Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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] · Exitsv1296954912Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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] · Exitsv1296954929Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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] · Exitsv1296954931Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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] · Exitsv1296954934Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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] · Exitsv1296954938Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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] · Exitsv1296954946Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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] · Exitsv1296954995Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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] · Exitsv1296955093Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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] · Exitsv1296955142Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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] · Exitsv1296955191Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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] · Exitsv1296955240Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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] · Exitsv1296955289Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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] · Exitsv1296955338Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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] · Exitsv1296955387Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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] · Exitsv1296955436Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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] · Exitsv1296955485Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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] · Exitsv1296955534Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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] · Exitsv1296955583Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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] · Exitsv1296955632Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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] · Exitsv1296955681Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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] · Exitsv1296955730Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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] · Exitsv1296955779Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 · Exitsv1296955828Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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 · Exitsv1296955877Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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] · Exitsv1296956073Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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] · Exitsv1296956122Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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] · Exitsv1296956171Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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] · Exitsv1296956220Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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] · Exitsv1296956269Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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] · Exitsv1296956318Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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) · Exitsv1296956416Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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) · Exitsv1296956417Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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) · Exitsv1296956419Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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) · Exitsv1296956420Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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) · Exitsv1296956422Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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) · Exitsv1296956425Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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) · Exitsv1296956431Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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) · Exitsv1296956448Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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) · Exitsv1296956450Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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) · Exitsv1296956453Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month if it had 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) · Exitsv1296956457Number Statistics Canada's experimental estimates, derived from payroll deductions rather than from the business register directly. A business is counted as open in a month 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

IndicatorCodeUnitDefinition
Seasonally adjusted at annual rates · Chained (2017) dollars · Crop production (except cannabis) [111X]v1059424624Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1059424626Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1059424627Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1059424630Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1059424631Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1059424638Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1059424640Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1059424641Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1059424644Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1059424645Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v1059424666Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v1059424668Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v1059424669Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v1059424672Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v1059424673Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917162Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917163Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917164Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917165Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917166Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917167Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917168Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917169Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917170Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917171Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917172Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917173Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917174Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917175Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917176Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917177Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917178Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917179Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917180Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917181Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917182Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917183Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917184Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917185Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917186Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917187Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917188Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917189Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917190Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917191Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917192Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917193Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917194Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917195Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917196Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917197Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917198Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917199Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917200Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917201Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917202Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917203Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917204Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917205Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917206Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917207Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917208Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917209Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917210Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917211Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917212Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917213Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917214Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917215Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917216Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917217Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917218Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917219Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917220Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v1806917261Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917221Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917222Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917223Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917224Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917225Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917226Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917227Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917228Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v1806917229Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v1806917230Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v1806917231Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v1806917232Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v1806917233Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v1806917234Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v1806917235Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v1806917236Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v1806917237Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v1806917238Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v1806917239Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v1806917240Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v1806917241Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v1806917242Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v1806917243Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v1806917244Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v1806917245Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v1806917246Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v1806917247Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v1806917248Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v1806917249Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v1806917250Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v1806917251Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v1806917252Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v1806917253Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v1806917254Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v1806917255Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v1806917256Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v1806917257Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v1806917258Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v1806917259Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v1806917260Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v1806917262Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v1806917263Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201210Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201211Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201212Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201213Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201216Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201219Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201220Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201221Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201222Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201223Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201224Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201225Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201227Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201229Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201230Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201231Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201232Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201233Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201234Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201235Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201236Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201237Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201238Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201239Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201240Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201241Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201242Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201243Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201244Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201245Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201246Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201247Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201248Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201249Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201250Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201251Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201252Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201253Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201254Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201255Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201256Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201257Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201258Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201259Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201260Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201261Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201262Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201263Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201264Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201265Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201266Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201267Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201268Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201269Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201270Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201271Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201272Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201273Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201274Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201275Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201276Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201277Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201278Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201279Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201282Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201283Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201284Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201285Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201286Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201287Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201288Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201289Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201290Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201291Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201292Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201293Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201294Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201295Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201296Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201297Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201301Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201304Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201307Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201308Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201309Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201310Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201311Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201312Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201313Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201322Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201330Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201336Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201341Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201342Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201343Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201344Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201345Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201346Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201348Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201349Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201350Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201351Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201355Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201356Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201357Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201358Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201359Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201360Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201361Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201362Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201363Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201364Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201365Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201366Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201367Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201368Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201369Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201372Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201373Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201381Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201382Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201383Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201384Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201385Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201386Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201387Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201388Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201389Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201390Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201391Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201392Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201393Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201394Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201395Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201396Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201397Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201398Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201399Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201400Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201404Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201405Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201406Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201407Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201410Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201411Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201413Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201416Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201419Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201420Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201421Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201422Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201423Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201425Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201426Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201427Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201428Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201429Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201430Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201431Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201432Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201433Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201434Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201435Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201436Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201437Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201438Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201439Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201440Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201441Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201442Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201443Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201444Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201445Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201446Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201447Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201448Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201449Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201450Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201451Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201452Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201453Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201454Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201455Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201456Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201457Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201458Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201459Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201460Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201461Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201462Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201463Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201464Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201465Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201466Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201467Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201468Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201469Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201470Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201471Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201472Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201473Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201474Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201475Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201476Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201477Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201478Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201479Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201480Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201481Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201482Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201483Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201484Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201485Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201486Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201489Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201492Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201493Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201494Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201495Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201496Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201497Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201498Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201500Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201502Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201503Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201504Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201505Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201506Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201507Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201508Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201509Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201510Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201511Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201512Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201513Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201514Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201515Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201516Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201517Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201518Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201519Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201520Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201521Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201522Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201523Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201524Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201525Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201526Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201527Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201528Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201529Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201530Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201531Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201532Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201533Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201534Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201535Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201536Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201537Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201538Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201539Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201540Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201541Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201542Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201543Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201544Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201545Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201546Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201547Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201548Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201549Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201550Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201551Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201552Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201555Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201556Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201557Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201558Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201559Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201560Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201561Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201562Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201563Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201564Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201565Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201566Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201567Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201568Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201569Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201570Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201574Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201577Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201580Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201581Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201582Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201583Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201584Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201585Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201586Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201595Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201603Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201609Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201614Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201615Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201616Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201617Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201618Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201619Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201621Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201622Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201623Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201624Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201628Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201629Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201630Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201631Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201632Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201633Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201634Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201635Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201786Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201636Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201637Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201638Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201639Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201640Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201641Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201642Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201645Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201646Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201654Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201655Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201656Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201657Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201658Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201659Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201660Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201661Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201662Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201663Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201664Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201665Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201666Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201667Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201668Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201669Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201670Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201671Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201672Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201673Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201677Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201678Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201679Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201680Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201683Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201684Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201686Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201689Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201692Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201693Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201694Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201695Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201696Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201698Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201699Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201700Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201701Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201702Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201703Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201704Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201705Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201706Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201707Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201708Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201709Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201710Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201711Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201712Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201713Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201714Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201715Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201716Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201717Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201718Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201719Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201720Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201721Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201722Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201723Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201724Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201725Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201726Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201727Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201728Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201729Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201730Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201731Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201732Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201733Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201734Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201735Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201736Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201737Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201738Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201739Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201740Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201741Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201742Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201743Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201744Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201745Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201746Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201747Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201748Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201749Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201750Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201751Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201752Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201753Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201754Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series and is stable across releases. 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]v65201755Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201756Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201757Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201758Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201759Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201762Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201765Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201766Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201767Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201768Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201769Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201770Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201771Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201773Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201775Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201776Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201777Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201778Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201779Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201780Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201781Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201782Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201783Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201784Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201785Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201787Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201788Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201789Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201790Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201791Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201792Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201793Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201794Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201795Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201796Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201797Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201798Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201799Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201800Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201801Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201802Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201803Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201804Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201805Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201806Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201807Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201808Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201809Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201810Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201811Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201812Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201813Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201814Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201815Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201816Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201817Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201818Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201819Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201820Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201821Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201822Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201823Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201824Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201825Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201828Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201829Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201830Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201831Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201832Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201833Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201834Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201835Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201836Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201837Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201838Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201839Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201840Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201841Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201842Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201843Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201847Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201850Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201853Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201854Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201855Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201856Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201857Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201858Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201859Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201868Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201876Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201882Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201887Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201888Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201889Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201890Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201891Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201892Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201894Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201895Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201896Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201897Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201901Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201902Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201903Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201904Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201905Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201906Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201907Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201908Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201909Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201910Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201911Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201912Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201913Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201914Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201915Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201918Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201919Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201927Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201928Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201929Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201930Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201931Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201932Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201933Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201934Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201935Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201936Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201937Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201938Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201939Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201940Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201941Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201942Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201943Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201944Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201945Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201946Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201950Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201951Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201952Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201953Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201956Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201957Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201959Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201962Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201965Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201966Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201967Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201968Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201969Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201971Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201972Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201973Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201974Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201975Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201976Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201977Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201978Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201979Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201980Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201981Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201982Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201983Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201984Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201985Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201986Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201987Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201988Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201989Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201990Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201991Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201992Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201993Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201994Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201995Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201996Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201997Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201998Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65201999Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65202000Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65202001Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65202002Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65202003Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65202004Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65202005Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65202006Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65202007Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65202008Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65202009Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65202010Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65202011Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65202012Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65202013Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65202014Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65202015Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65202016Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65202017Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65202018Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65202019Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65202020Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65202021Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65202022Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65202023Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65202024Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65202025Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65202026Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65202027Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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]v65202028Dollars Retrieved as a whole-table download over the Statistics Canada Web Data Service, the same route the statcanR package uses. An indicator is keyed on the StatCan VECTOR id rather than on the dimension labels, because the vector identifies exactly one series 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

IndicatorCodeUnitDefinition
Asylum-seekersUNHCR.ASYLUM_SEEKERSpersons 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 personsUNHCR.IDPSpersons 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 protectionUNHCR.OIPpersons 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 UNHCRUNHCR.OOCpersons 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 mandateUNHCR.REFUGEESpersons 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 personsUNHCR.RETURNED_IDPSpersons 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 refugeesUNHCR.RETURNED_REFUGEESpersons 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

IndicatorCodeUnitDefinition
Aluminum — Smelter production, aluminum (production)aluminum.smelter-production-aluminum.productionthousand 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.productionmetric 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.productionmetric 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.productionmetric 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.productionthousand 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.productionthousand 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.productionthousand 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.productionmetric 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.productionmetric 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.productionthousand 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.productionmetric 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.productionmetric 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.productionthousand 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.productionthousand 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.productionthousand 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.productionthousand 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.productionthousand 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.productionthousand 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.productionmetric 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.productionmetric 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.productionthousand 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.productionthousand 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.productionmillion 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.productionthousand 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.productionthousand 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.productionthousand 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.productionkilograms 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.productionmetric 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.productionthousand 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.productionmetric 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.productionmetric 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.productionthousand 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.productionmillion 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.productionmetric 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.productionmetric 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.productionmillion 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.productionmillion 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.productionthousand 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.productionthousand 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.productionmetric 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.productionmetric 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.productionthousand 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.productionthousand 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.productionmetric 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.productionthousand 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.productionthousand 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.productionthousand 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.productionmetric 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.productionmetric 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.productionmetric 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.productionmetric 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.productionmetric 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.productionmetric 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.productionthousand 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.productionthousand 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.productionthousand 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.productionthousand 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.productionkilograms 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.productionkilograms 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.productionthousand 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.productionthousand 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.productionmetric 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.productionkilograms 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.productionthousand 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.productionmetric 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.productionmetric 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.productionthousand 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.productionthousand 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.productionmetric 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.productionthousand 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.productionthousand 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.productionthousand 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.productionthousand 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.productionmetric 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.productionthousand 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.productionthousand 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.productionthousand 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.productionmetric 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.productionmetric 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.productionmetric 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.productionmetric 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.productionmetric 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.productionmetric 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.productionmetric 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.productionmetric 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.productionthousand 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.productionmetric 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.productionmetric 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.productionthousand 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.productionthousand 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

IndicatorCodeUnitDefinition
Antimony — Mine production, antimony content (reserves)antimony.mine-production-antimony-content.reservesmetric 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.reservesmetric 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.reservesthousand 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.reservesthousand 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.reservesthousand 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.reservesmetric 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.reservesthousand 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.reservesmetric 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.reservesmetric 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.reservesthousand 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.reservesmillion 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.reservesthousand 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.reservesthousand 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.reservesthousand 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.reservesmetric 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.reservesthousand 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.reservesmetric 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.reservesmetric 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.reservesthousand 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.reservesmillion 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.reservesmetric 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.reservesmetric 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.reservesthousand 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.reservesthousand 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.reservesmetric 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.reservesmetric 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.reservesthousand 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.reservesmetric 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.reservesthousand 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.reservesthousand 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.reservesthousand 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.reservesmetric 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.reservesmetric 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.reservesmetric 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.reservesmetric 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.reservesmetric 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.reservesthousand 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.reservesthousand 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.reservesthousand 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.reserveskilograms 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.reservesthousand 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.reservesthousand 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.reservesmetric 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.reserveskilograms 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.reservesmetric 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.reservesmetric 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.reservesthousand 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.reservesthousand 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.reservesmetric 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.reservesthousand 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.reservesthousand 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.reservesmetric 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.reservesmetric 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.reservesmetric 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.reservesmetric 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.reservesmetric 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.reservesmetric 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.reservesmetric 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.reservesthousand 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.reservesthousand 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.reservesthousand 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

IndicatorCodeUnitDefinition
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

IndicatorCodeUnitDefinition
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

IndicatorCodeUnitDefinition
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 articlesIP.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, nonresidentsIP.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, residentsIP.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

IndicatorCodeUnitDefinition
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

IndicatorCodeUnitDefinition
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 migrationSM.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, totalSM.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

IndicatorCodeUnitDefinition
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

IndicatorCodeUnitDefinition
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

IndicatorCodeUnitDefinition
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 populationSP.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

IndicatorCodeUnitDefinition
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

IndicatorCodeUnitDefinition
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

IndicatorCodeUnitDefinition
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

IndicatorCodeUnitDefinition
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, totalSP.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 populationSP.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

IndicatorCodeUnitDefinition
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

IndicatorCodeUnitDefinition
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

IndicatorCodeUnitDefinition
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

IndicatorCodeUnitDefinition
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

IndicatorCodeUnitDefinition
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

IndicatorCodeUnitDefinition
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

IndicatorCodeUnitDefinition
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

IndicatorCodeUnitDefinition
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

IndicatorCodeUnitDefinition
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 thresholdSE.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 thresholdSE.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 thresholdSE.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, preprimarySE.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

IndicatorCodeUnitDefinition
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, pupilsSE.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, primarySE.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

IndicatorCodeUnitDefinition
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, teachersSE.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, primarySE.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, femaleSE.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, maleSE.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

IndicatorCodeUnitDefinition
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, pupilsSE.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 pupilsSE.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 secondarySE.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, secondarySE.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 secondarySE.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 pupilsSE.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

IndicatorCodeUnitDefinition
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, teachersSE.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, femaleSE.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, tertiarySE.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

IndicatorCodeUnitDefinition
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 yearsSH.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 yearsSH.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 yearsSH.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 yearsSH.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, totalSL.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

IndicatorCodeUnitDefinition
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

IndicatorCodeUnitDefinition
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, threatenedEN.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, threatenedEN.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

IndicatorCodeUnitDefinition
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), threatenedEN.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, threatenedEN.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 resourcesER.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

IndicatorCodeUnitDefinition
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

IndicatorCodeUnitDefinition
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

IndicatorCodeUnitDefinition
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, totalCM.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 importsFI.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 ratioFM.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

IndicatorCodeUnitDefinition
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 asylumSM.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 originSM.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 peopleSM.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 / originSM.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 asylumSM.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 originSM.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

IndicatorCodeUnitDefinition
Refugees under the mandate of the UNHCR by country or territory of asylumSM.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 originSM.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 asylumSM.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 originSM.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

IndicatorCodeUnitDefinition
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

IndicatorCodeUnitDefinition
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 deathsSH.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 deathsSH.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 deathsSH.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

IndicatorCodeUnitDefinition
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 HIVSH.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 HIVSH.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 HIVSH.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 HIVSH.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 HIVSH.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

IndicatorCodeUnitDefinition
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 deathsSH.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

IndicatorCodeUnitDefinition
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

IndicatorCodeUnitDefinition
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

IndicatorCodeUnitDefinition
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 indexSH_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 accessSH_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 diseasesSH_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 diseasesSH_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 healthSH_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

IndicatorCodeUnitDefinition
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, femaleSP.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, maleSP.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, totalSP.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, femaleSP.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, maleSP.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, totalSP.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

IndicatorCodeUnitDefinition
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, femaleSP.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, maleSP.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, totalSP.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

IndicatorCodeUnitDefinition
Population, femaleSP.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, maleSP.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

IndicatorCodeUnitDefinition
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 countIP.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 countIP.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 countIP.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 countIP.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 worldwideIS.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 carriedIS.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 subscriptionsIT.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 subscriptionsIT.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 subscriptionsIT.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 serversIT.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

IndicatorCodeUnitDefinition
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

IndicatorCodeUnitDefinition
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

IndicatorCodeUnitDefinition
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 indexSI.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

IndicatorCodeUnitDefinition
B-READY: Business Entry: Overall ScoreIC.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 EntryIC.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 EntryIC.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 EntryIC.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 ScoreIC.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 ProceedingsIC.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 ProceedingsIC.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 ProceedingsIC.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 ScoreIC.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 LocationIC.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 LocationIC.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 LocationIC.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 ScoreIC.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 ResolutionIC.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 ResolutionIC.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 DisputeIC.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 ScoreIC.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 ServicesIC.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 InfrastructureIC.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 ServicesIC.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 ScoreIC.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 TradeIC.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 TradeIC.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 TradeIC.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 ScoreIC.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 RegulationsIC.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 LaborIC.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 PracticeIC.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 ScoreIC.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 CompetitionIC.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

IndicatorCodeUnitDefinition
B-READY: Market Competition Pillar 2: Public Services that Promote Market CompetitionIC.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 CompetitionIC.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 FrameworkIC.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 ServicesIC.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 EfficiencyIC.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 ScoreIC.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 TaxationIC.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 AdministrationIC.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 PracticeIC.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 ScoreIC.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 ServicesIC.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 ServicesIC.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 ProvisionIC.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

IndicatorCodeUnitDefinition
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 ownershipIC.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&DIC.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 indexIC.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 arrivalsST.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 departuresST.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

IndicatorCodeUnitDefinition
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

IndicatorCodeUnitDefinition
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

IndicatorCodeUnitDefinition
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

IndicatorCodeUnitDefinition
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

IndicatorCodeUnitDefinition
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

IndicatorCodeUnitDefinition
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, totalMS.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

IndicatorCodeUnitDefinition
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

IndicatorCodeUnitDefinition
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

IndicatorCodeUnitDefinition
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

IndicatorCodeUnitDefinition
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

IndicatorCodeUnitDefinition
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

IndicatorCodeUnitDefinition
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

IndicatorCodeUnitDefinition
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

IndicatorCodeUnitDefinition
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 cityEN.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 millionEN.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.