Answer
Where are African resources exported to?
Partly answerable, and the part that is not is worth as much as the part that is. Open, keyless data shows African raw materials arriving in the European Union in detail. It does not show them arriving anywhere else.
The short answer
Of the destinations visible in open data, the European Union takes around 7.8 billion euro of crude materials a year from sub-Saharan Africa. South Africa alone supplies about half of it. After that the list is long and thin: Cote d'Ivoire, Kenya, Guinea, Liberia, Cameroon, Gabon, Ghana, each a few hundred million, each concentrated in one or two commodities.
That is one destination. China, India, the Gulf and intra-African trade are absent from this picture — not because they are small, but because the data that would show them sits behind a key. What follows is what can be shown, followed by what cannot.
The flows
Crude materials (SITC 2 and 4) leaving sub-Saharan Africa for the EU27, most recent year. Width is value.
Who supplies most
The same flows as a ranking, which is easier to read a number off.
Note that the ranking is not filtered to Africa: it shows every supplier, so African countries can be read against the rest. That is deliberate — a regional ranking without the world around it invites the wrong conclusion about size.
Where the dependence is
Natural resource rents as a share of GDP. This is the other half of the question: not where the material goes, but how much of an economy rests on sending it.
How concentrated are these exports? Three answers
This page used to stop here. With only the EU in view, every African exporter appeared perfectly concentrated on one destination, so the standard concentration index returned the same number for all of them — an artefact of the data, not a fact about the world, and it was withheld for that reason.
The IMF now supplies each African reporter against every counterpart, so the question is answerable. It is answered three ways below, because concentration is not one quantity and the three disagree in ways worth reading.
| Exporter | Destinations | HHI | Entropy | Gini | Largest destination |
|---|---|---|---|---|---|
| Congo, Dem. Rep. | 106 | 3,298 | 0.37 | 0.96 | China, 55% |
| Congo, Rep. | 110 | 3,157 | 0.42 | 0.93 | China, 54% |
| Angola | 140 | 2,378 | 0.46 | 0.93 | China, 47% |
| Zambia | 114 | 2,343 | 0.43 | 0.94 | Switzerland, 41% |
| Botswana | 18 | 1,681 | 0.72 | 0.67 | United Arab Emirates, 30% |
| Namibia | 152 | 1,127 | 0.53 | 0.93 | South Africa, 20% |
| Egypt, Arab Rep. | — | 371 | 0.73 | — | Turkiye |
Entropy and Gini are shown normalised, 0 to 1. Exports of goods, 2023. The full dataset →
The first finding is about China. For the Congos, Angola and Zambia, one destination takes between 40 and 55 per cent of exports, and for three of the four that destination is China. This is the fact the EU-only view could not see at all, and it is the answer to the question as it was actually asked.
The second finding is that the three measures disagree, and Botswana shows why. On the Herfindahl index Botswana looks more concentrated than Namibia — 1,681 against 1,127. On normalised entropy the ranking flips: Botswana 0.72, Namibia 0.53. Neither is wrong. Botswana sells to 18 destinations and spreads evenly across them; Namibia sells to 152 and leans hard on a few. HHI punishes having few partners at all; entropy asks whether you use the partners you have. Gini agrees with entropy here — 0.67 against 0.93 — because it measures how lopsided the distribution is rather than how big the leader is.
Which one should a policy argument use? It depends what the argument is. If the worry is a single buyer exercising leverage, the HHI and the top share are the right instruments. If the worry is whether alternative buyers exist to absorb a diverted shipment, entropy is closer to the question, because substitution comes from the tail and the HHI barely sees the tail. Published together, they invite the reader to notice that the choice of measure is itself an argument.
And now the comparison that changes the reading
The measures are computed for every reporting economy, not only African ones, and putting them side by side is uncomfortable for the framing the question invites.
| Economy | Destinations | HHI | Entropy | Largest share | Largest destination |
|---|---|---|---|---|---|
| Mexico | 189 | 6,883 | 0.20 | 83 | United States |
| Canada | 201 | 6,071 | 0.25 | 78 | United States |
| Congo, Dem. Rep. | 106 | 3,298 | 0.37 | 55 | China |
| Angola | 140 | 2,378 | 0.46 | 47 | China |
| South Africa | 203 | 486 | 0.66 | 12 | China |
| Germany | 203 | 451 | 0.67 | 10 | United States |
Exports of goods, 2023. Entropy normalised, 0 to 1.
Canada sends 78 per cent of its goods exports to one country and scores an HHI of 6,071 — nearly twice DR Congo's 3,298. Mexico is higher still. South Africa, at 486, is as diversified as Germany. On this measure the most export-concentrated economies in the world are not African; two of them are among the richest.
That does not make the concentration equivalent. Canada's dependence on the United States runs through a land border, a free trade agreement and half a century of integrated production; DR Congo's on China runs through a commodity whose price it does not set. Concentration measures the shape of the distribution, not the terms of the relationship, and reading vulnerability straight off an index skips the part that actually determines it.
But the number is the number, and it is worth knowing that the intuition behind the question — that African exporters are unusually dependent — is not what the index says. That is the sort of correction a data platform is for.
What is missing, precisely
- One destination. Eurostat reports what the EU imports. It cannot report what China imports. Answering the question as asked needs a source where African countries are the reporters: UN Comtrade or CEPII BACI, both of which need a key or a registration this platform does not hold.
- Commodity groups, not commodities. SITC 2 and 4 lump cocoa with copper ore. "Resources" in the question probably means minerals and fuels specifically, and separating them needs product-level detail at HS-6.
- Gross value, not ownership. A shipment recorded as leaving Guinea says nothing about who owns the mine or where the profit lands. That question needs ownership data — the GLEIF parent relationships in the register are the honest starting point, and they are not loaded.
- No intra-African trade. Trade between African countries is invisible here entirely, which matters for any argument about regional processing and value retention.
What would answer it properly
One key, essentially. UN Comtrade with African reporters would turn this from a one-destination picture into a real network: every African exporter against every buyer, at product level, and then the concentration measure means something. CEPII BACI would do the same and reconciles the mirror statistics that Comtrade leaves contradictory. Both are recorded in the source register with what blocks them.
Until then the honest headline is narrower than the question: this is where African raw materials go when they go to Europe.
Source register → · On gross against value added →
Answer quality: Partial — The data answers part of the question. The rest is stated below.
- Coverage
- Destinations are now complete: IMF bilateral trade gives each African reporter against every counterpart. Commodity detail is not — SITC groups lump cocoa with copper ore.
- Directness
- Direct for what it covers — these are recorded trade flows, not a proxy or a model output.
- Currency
- Current: the trade tables run to the most recent complete year.
- Provenance
- Eurostat reuse policy and CC BY 4.0, both verified against the publishers' own terms pages.
The destination question is answered. What is still missing is which commodity, and who owns the mine.
This assessment is written by the author of the page, not computed. A score derived from a formula would look objective and would not be.
Data behind this answer
Critical mineral production: world mine and refinery output by country
Annual world production of the minerals that supply chains depend on and cannot easily substitute - lithium, cobalt, rare earths,...
WB · CC-BY-4.0Resource dependence: natural resource rents and ores and metals trade
How much of an economy rests on extracting and selling raw materials: mineral, oil, gas, coal and forest rents as a share of GDP,...
ESTAT · EUROSTAT-REUSEEU trade in raw materials, by partner
Extra-EU exports, imports and the balance in crude materials (SITC 2+4), broken down by trading partner. The first bilateral series on...
ESTAT · EUROSTAT-REUSEEU trade in mineral fuels, by partner
Extra-EU trade in mineral fuels and lubricants (SITC 3) by partner - the counterpart to the chokepoint transit data, showing who the...
IMF-IMTS · PROVIDER-TERMS-RESTRICTEDMerchandise trade by partner country
Exports and imports between reporting countries and each of their trading partners. This is the dataset that makes a destination...
MONDO · MONDO-OWN-CC-BY-4.0Export destination concentration: Gini, HHI and entropy
How concentrated a country's exports are across the places they go, measured three ways that disagree. Concentration is the quantity...