How large are other exporters' sales to other buyers next to an importer's biggest supplier?
In 2024, 1,462 importer-and-commodity pairs had imports of at least $50 million with one supplier providing 50% or more. In 13 of them, 8 on critical minerals, the sales that every other exporter made to other buyers were smaller than the value the importer bought from its top supplier. The tightest case: China buying bauxite from Guinea, where those sales were 0.09 times the purchase. 11 of the 13 have China as the importer, which mostly reflects the size of China's purchases.
The comparison figure is the value of what every other exporter already sold to buyers other than this importer, divided by what the importer bought from its largest supplier. Below 1, the value other exporters already sell to other buyers is smaller than the purchase. Above 1, their sales to other buyers are larger than the purchase, which does not show that they could be redirected. It is a ratio taken from one year's customs records, not a scenario: those sales go to buyers who already use the goods. A real change of supplier would also depend on whether those exporters could redirect their sales, on shipping time and on prices, none of which this ratio measures. It does not measure spare capacity, domestic output or stocks.
A worked example from the table: China bought $7.6 billion of bauxite (HS 2606) from Guinea in 2024, 77% of its $9.9 billion of imports on the line. Every other exporter together, leaving out Guinea and China itself, sold $672.1 million to other buyers. $672.1 million divided by $7.6 billion is 0.09. Guinea supplied 72% of world exports on the line.
Critical minerals with the smallest ratios
| Importer, mineral and customs line | Largest supplier | Purchase from it | Its share of imports | Its share of world exports | Others' sales to other buyers | Ratio |
|---|---|---|---|---|---|---|
| Bauxite | Guinea | $7.6 billion | 77% | 72% | $672.1 million | 0.09 |
| Chromium | South Africa | $4.7 billion | 87% | 85% | $468.3 million | 0.10 |
| Lithium | Chile | $2 billion | 78% | 73% | $405.4 million | 0.20 |
| Cobalt | DR Congo (Democratic Republic of the Congo) | $3 billion | 93% | 65% | $1.3 billion | 0.43 |
| Chromium | South Africa | $1.9 billion | 96% | 85% | $1.1 billion | 0.59 |
| Uranium | Namibia | $803.2 million | >99.9% | 68% | $499.7 million | 0.62 |
| Boron | Turkey (Türkiye) | $357 million | 69% | 64% | $244 million | 0.68 |
| Niobium | Brazil | $1.1 billion | 96% | 75% | $749.8 million | 0.71 |
| Niobium | Brazil | $461.6 million | 83% | 75% | $499.2 million | 1.08 |
| Boron | Turkey (Türkiye) | $82.6 million | 97% | 64% | $96.3 million | 1.17 |
| Iridium | South Africa | $500 million | 67% | 48% | $909.9 million | 1.82 |
| Uranium | Australia | $431.9 million | 82% | 27% | $1.1 billion | 2.44 |
| Fluorspar | Mexico | $116.8 million | 81% | 37% | $299 million | 2.56 |
| Lithium | Chile | $319.4 million | 75% | 73% | $849.4 million | 2.66 |
| Antimony | Myanmar | $81.4 million | 100% | 24% | $222.9 million | 2.74 |
| Feldspar | Turkey (Türkiye) | $105.2 million | 82% | 42% | $351.8 million | 3.34 |
| Magnesium | China | $70.9 million | 99% | 73% | $248.4 million | 3.50 |
| Uranium | Namibia | $138.4 million | 91% | 68% | $486.5 million | 3.51 |
| Feldspar | Turkey (Türkiye) | $91.8 million | 74% | 42% | $344 million | 3.75 |
| Platinum | South Africa | $2.1 billion | 66% | 36% | $7.9 billion | 3.76 |
| Potash | Canada | $3 billion | 81% | 33% | $11.8 billion | 3.92 |
| Iridium | South Africa | $245.6 million | 63% | 48% | $963.2 million | 3.92 |
| Magnesium | China | $58.6 million | 99.9% | 73% | $250.7 million | 4.28 |
| Niobium | Brazil | $195.5 million | 92% | 75% | $841.3 million | 4.30 |
| Niobium | Brazil | $161.5 million | 58% | 75% | $731.5 million | 4.53 |
| Niobium | Brazil | $169.6 million | 96% | 75% | $778.8 million | 4.59 |
| Magnesium | China | $54.3 million | 98% | 73% | $249.4 million | 4.59 |
| Manganese | South Africa | $575.9 million | 55% | 49% | $2.8 billion | 4.80 |
| Graphite | China | $50.2 million | 51% | 42% | $242.7 million | 4.83 |
| Rare earths | Vietnam | $162.1 million | 58% | 18% | $790.4 million | 4.87 |
| Magnesium | China | $50.1 million | 99.8% | 73% | $250.1 million | 4.99 |
| Niobium | Brazil | $170.1 million | 97% | 75% | $856 million | 5.03 |
| Magnesium | China | $45.5 million | 84% | 73% | $233.9 million | 5.14 |
| Graphite | China | $52.6 million | 87% | 42% | $293.2 million | 5.57 |
| Feldspar | South Africa | $90 million | 98% | 14% | $516.5 million | 5.74 |
| Fluorspar | Mexico | $49.4 million | 54% | 37% | $284.7 million | 5.76 |
| Rhodium | South Africa | $665.1 million | 68% | 36% | $4.3 billion | 6.53 |
| Platinum | South Africa | $1.2 billion | 79% | 36% | $8.5 billion | 7.13 |
| Rare earths | Australia | $128.1 million | 99.1% | 11% | $979.1 million | 7.65 |
| Iridium | South Africa | $119.9 million | 51% | 48% | $940.9 million | 7.85 |
All commodities, smallest ratios
| Importer, commodity and customs line | Largest supplier | Its share of imports | Ratio |
|---|---|---|---|
| Bauxite | Guinea | 77% | 0.09 |
| Chromium | South Africa | 87% | 0.10 |
| Lithium | Chile | 78% | 0.20 |
| Sorghum | United States | 63% | 0.23 |
| Wool | Australia | 75% | 0.35 |
| Cobalt | DR Congo (Democratic Republic of the Congo) | 93% | 0.43 |
| Iron ore | Australia | 64% | 0.44 |
| Jute | Bangladesh | 99% | 0.55 |
| Chromium | South Africa | 96% | 0.59 |
| Uranium | Namibia | >99.9% | 0.62 |
| Soybeans | Brazil | 67% | 0.68 |
| Boron | Turkey (Türkiye) | 69% | 0.68 |
| Niobium | Brazil | 96% | 0.71 |
| Pistachios | United States | 68% | 1.06 |
| Niobium | Brazil | 83% | 1.08 |
| Boron | Turkey (Türkiye) | 97% | 1.17 |
| Pineapples | Costa Rica | 86% | 1.28 |
| Vanilla | Madagascar | 78% | 1.30 |
| Vanilla | Madagascar | 63% | 1.41 |
| Avocados | Mexico | 91% | 1.44 |
| Orange juice | Brazil | 67% | 1.57 |
| Iridium | South Africa | 67% | 1.82 |
| Quinoa | Peru | 59% | 1.83 |
| Hazelnuts | Turkey (Türkiye) | 66% | 1.83 |
| Oats | Canada | 98% | 1.94 |
| Hazelnuts | Turkey (Türkiye) | 66% | 1.99 |
| Tomatoes | Mexico | 84% | 2.42 |
| Uranium | Australia | 82% | 2.44 |
| Fluorspar | Mexico | 81% | 2.56 |
| Cloves | Madagascar | 75% | 2.65 |
What the ratio does not say
- It is not spare capacity or a supply verdict. It counts what other exporters already sold, not what they could produce or ship, and leaves out domestic output and stocks.
- The pool's buyers already use the goods. Sales counted in the other exporters' total go to other importers, who would be left short if they were redirected.
- It is by value, on one customs line. Each commodity is read on its main customs line, often one narrow product form (refined borax for boron, lithium carbonate for lithium, uranium ores for uranium), and grades inside a line differ, so a supplier's product may not be a like-for-like substitute. The line named "rare earths" (HS 2805) is mostly alkali and alkaline-earth metals, with rare-earth metals, scandium and yttrium a smaller part.
- Hubs count as exporters and as importers. A country that buys goods and sells them on is counted as a seller, so goods the largest supplier sold to a hub can reappear in the pool as the hub's sales, for example Brazilian ferro-niobium sold to the Netherlands and then sold on. Rows where an importer or supplier is a trading hub are marked, and a hub's apparent dependence is partly transit trade.
- One year, no price. The table describes the 2024 trade records. It says nothing about how prices or flows would change.
- Only large dependencies are listed. A pair needs at least $50 million of imports and a top supplier at 50% or more. BACI's unallocated "Other Asia, not elsewhere specified" code is not treated as an importer or a supplier.
CEPII BACI (bilateral trade by customs line, primary line of each commodity), 2024. BACI reconciles exporters' and importers' declarations; values are free on board (freight removed). Generated 2026-10-22. Data: substitution.json.
More patterns
- Concentration:
- Producer or exporter?:
- Prices in real terms:
- Growth and decline:
- Linked prices and seasons:
- A century of real prices:
- Supplier exposure:
- Trade after export controls:
- Export share history:
- Prices around export controls:
- Export basket prices:
- Critical risk matrix:
- Country reserve life:
- Prices and cumulative output:
- US import reliance and recycling:
- Data confidence:
- Export controls and bans:
- Chokepoints:
- By-product minerals:
- Peak production:
- Reserves and mining:
- Supply concentration:
- Land or yield?:
- Supply shocks and prices:
- Category price indices:
- Drawdowns and volatility:
- Stocks and prices:
- Which prices follow oil?:
- How reliable is the data?:
- Net exporters and importers:
- Country leaders:
- Export dependency:
- Concentration over time:
- Import dependency:
- Supplier shifts:
- Trade price against benchmark:
- Prices in other currencies:
- Do prices lead each other?:
- Volatility over time:
- Seasonality:
- Price ratios:
- El Niño and prices:
- Who consumes it:
- Self-sufficiency:
- Trade flows:
Every figure is computed from the same tables as the commodity pages. The full set is in patterns.json, and single facts from it appear each day on the facts page.