Soyabean Oil — Domestic supply quantity by country
A food balance sheet presents a comprehensive picture of the pattern of a country's food supply during a specified reference period. The food balance sheet shows for each food item - i.e. each primary commodity and a number of processed commodities potentially available for human consumption - the sources of supply...
What the numbers show
Soyabean Oil — Domestic supply quantity is currently reported for 164 countries. The highest value is 18,106 1000 t in China (People's Republic of); the lowest is -41 1000 t in Slovak Republic.
The median across all reporting countries is 12 1000 t, and the mean is 390.21 1000 t.
The gap between the highest and lowest reporting country is a factor of about 442.
Over the past decade 69 countries rose and 51 fell. The largest increase was in Cameroon (up 1,600.0%), and the largest decrease in Slovak Republic (down 612.5%).
Soyabean Oil — Domestic supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China (People's Republic of) | 18,106 1000 t | 2023 | up 48.7% | rising |
| 2 | China, mainland | 17,631 1000 t | 2023 | up 50.5% | rising |
| 3 | Brazil | 8,747 1000 t | 2023 | up 54.1% | rising |
| 4 | India | 5,207 1000 t | 2023 | up 87.4% | rising |
| 5 | Argentina | 1,655 1000 t | 2023 | down 22.8% | rising |
| 6 | Mexico | 1,079 1000 t | 2023 | up 78.6% | rising |
| 7 | Bangladesh | 917 1000 t | 2023 | up 104.7% | rising |
| 9 | Algeria | 720 1000 t | 2023 | up 34.8% | rising |
| 10 | Germany | 659 1000 t | 2023 | up 45.5% | rising |
| 11 | Republic of Korea | 643 1000 t | 2023 | up 47.1% | rising |
| 12 | Egypt | 606 1000 t | 2023 | up 84.2% | rising |
| 13 | Peru | 511 1000 t | 2023 | up 40.4% | rising |
| 14 | Morocco | 475 1000 t | 2023 | up 20.3% | rising |
| 15 | China, Taiwan Province of | 416 1000 t | 2023 | up 1.7% | rising |
| 16 | Italy | 403 1000 t | 2023 | up 16.8% | falling |
| 18 | Spain | 371 1000 t | 2023 | up 64.2% | rising |
| 19 | Russian Federation | 355 1000 t | 2023 | up 127.6% | rising |
| 21 | Colombia | 312 1000 t | 2023 | down 2.8% | rising |
| 22 | Pakistan | 311 1000 t | 2023 | up 445.6% | volatile |
| 23 | United Kingdom of Great Britain and Northern Ireland | 300 1000 t | 2023 | up 22.0% | rising |
| 25 | Thailand | 269 1000 t | 2023 | up 28.7% | rising |
| 26 | Canada | 206 1000 t | 2023 | down 7.2% | rising |
| 27 | Chile | 193 1000 t | 2023 | up 4.9% | falling |
| 28 | South Africa | 269 1000 t | 2023 | up 10.2% | rising |
| 28 | Poland | 189 1000 t | 2023 | up 162.5% | rising |
| 29 | Dominican Republic | 181 1000 t | 2023 | up 7.1% | rising |
| 30 | Zimbabwe | 165 1000 t | 2023 | up 258.7% | rising |
| 31 | France | 162 1000 t | 2023 | down 0.6% | falling |
| 32 | Nigeria | 141 1000 t | 2023 | up 76.2% | rising |
| 32 | Nepal | 141 1000 t | 2023 | up 23.7% | rising |
| 34 | Tunisia | 139 1000 t | 2023 | down 23.6% | flat |
| 35 | Ecuador | 134 1000 t | 2023 | up 5.5% | flat |
| 36 | Netherlands (Kingdom of the) | 131 1000 t | 2023 | up 13.9% | flat |
| 37 | Mauritania | 129 1000 t | 2023 | up 16.2% | rising |
| 38 | Angola | 102 1000 t | 2023 | up 45.7% | rising |
| 38 | Cuba | 102 1000 t | 2019 | up 7.4% | rising |
| 40 | Guatemala | 98 1000 t | 2023 | up 32.4% | rising |
| 42 | Belgium | 76 1000 t | 2023 | up 22.6% | flat |
| 42 | Philippines | 76 1000 t | 2023 | up 375.0% | volatile |
| 44 | Zambia | 75 1000 t | 2023 | up 275.0% | volatile |
| 45 | Malaysia | 74 1000 t | 2023 | up 105.6% | rising |
| 46 | Paraguay | 73 1000 t | 2023 | up 7.4% | falling |
| 47 | Iraq | 68 1000 t | 2023 | down 8.1% | falling |
| 48 | Ireland | 63 1000 t | 2023 | up 43.2% | rising |
| 49 | Israel | 62 1000 t | 2023 | down 8.8% | rising |
| 50 | Mozambique | 56 1000 t | 2023 | up 75.0% | rising |
| 51 | Portugal | 55 1000 t | 2023 | down 62.6% | falling |
| 52 | China, Hong Kong SAR | 54 1000 t | 2023 | up 17.4% | flat |
| 53 | Romania | 50 1000 t | 2023 | up 150.0% | volatile |
| 54 | Greece | 48 1000 t | 2023 | down 7.7% | falling |
| 55 | Belarus | 46 1000 t | 2023 | up 253.8% | volatile |
| 56 | Jordan | 45 1000 t | 2023 | up 50.0% | rising |
| 58 | Panama | 44 1000 t | 2023 | up 37.5% | rising |
| 59 | Denmark | 39 1000 t | 2023 | up 62.5% | rising |
| 60 | Madagascar | 38 1000 t | 2023 | up 81.0% | rising |
| 61 | Australia and New Zealand | 37 1000 t | 2023 | down 21.3% | falling |
| 62 | Saudi Arabia | 34 1000 t | 2023 | up 100.0% | rising |
| 63 | Austria | 32 1000 t | 2023 | up 220.0% | rising |
| 63 | Indonesia | 32 1000 t | 2023 | down 48.4% | volatile |
| 65 | Costa Rica | 30 1000 t | 2023 | down 14.3% | flat |
| 66 | Australia | 28 1000 t | 2023 | down 22.2% | falling |
| 66 | Jamaica | 28 1000 t | 2023 | down 22.2% | rising |
| 66 | Oman | 28 1000 t | 2023 | up 64.7% | rising |
| 69 | United Arab Emirates | 26 1000 t | 2023 | down 16.1% | falling |
| 70 | Lebanon | 24 1000 t | 2023 | down 33.3% | flat |
| 70 | Senegal | 24 1000 t | 2023 | down 52.0% | falling |
| 72 | Czechia | 23 1000 t | 2023 | up 64.3% | falling |
| 73 | Cambodia | 21 1000 t | 2023 | up 61.5% | rising |
| 73 | El Salvador | 21 1000 t | 2023 | down 4.5% | rising |
| 76 | Bulgaria | 20 1000 t | 2023 | up 66.7% | rising |
| 76 | Sweden | 20 1000 t | 2023 | down 25.9% | falling |
| 78 | Ghana | 19 1000 t | 2023 | up 533.3% | volatile |
| 78 | Kuwait | 19 1000 t | 2023 | up 111.1% | rising |
| 78 | Malawi | 19 1000 t | 2023 | up 90.0% | rising |
| 81 | Cameroon | 17 1000 t | 2023 | up 1,600.0% | volatile |
| 81 | Myanmar | 17 1000 t | 2023 | down 54.1% | falling |
| 83 | Mauritius | 16 1000 t | 2023 | down 27.3% | falling |
| 83 | Trinidad and Tobago | 16 1000 t | 2023 | unchanged | falling |
| 83 | Uruguay | 16 1000 t | 2023 | down 30.4% | falling |
| 86 | Kazakhstan | 14 1000 t | 2023 | up 133.3% | rising |
| 87 | Ethiopia | 13 1000 t | 2023 | up 333.3% | volatile |
| 89 | Haiti | 12 1000 t | 2023 | down 78.9% | falling |
| 89 | Nicaragua | 12 1000 t | 2023 | down 62.5% | falling |
| 91 | Bhutan | 11 1000 t | 2023 | — | rising |
| 91 | Kenya | 11 1000 t | 2023 | up 450.0% | volatile |
| 93 | Switzerland | 10 1000 t | 2023 | up 42.9% | rising |
| 93 | Croatia | 10 1000 t | 2023 | down 50.0% | volatile |
| 93 | Uganda | 10 1000 t | 2023 | down 61.5% | volatile |
| 96 | Honduras | 9 1000 t | 2023 | up 80.0% | rising |
| 96 | Lithuania | 9 1000 t | 2023 | up 80.0% | rising |
| 96 | New Zealand | 9 1000 t | 2023 | down 18.2% | falling |
| 99 | Fiji | 8 1000 t | 2023 | unchanged | falling |
| 99 | Hungary | 8 1000 t | 2023 | down 50.0% | falling |
| 99 | Tajikistan | 8 1000 t | 2023 | up 100.0% | volatile |
| 102 | Ukraine | 6 1000 t | 2023 | down 81.8% | volatile |
| 103 | Barbados | 5 1000 t | 2023 | up 66.7% | flat |
| 103 | Cyprus | 5 1000 t | 2023 | down 16.7% | falling |
| 103 | Libya | 5 1000 t | 2023 | up 150.0% | volatile |
| 103 | Slovenia | 5 1000 t | 2023 | down 58.3% | falling |
| 103 | Eswatini | 5 1000 t | 2023 | up 400.0% | volatile |
| 103 | Uzbekistan | 5 1000 t | 2023 | down 28.6% | volatile |
| 103 | China, Macao SAR | 5 1000 t | 2023 | unchanged | rising |
| 111 | Afghanistan | 4 1000 t | 2023 | down 69.2% | falling |
| 111 | Bahrain | 4 1000 t | 2023 | — | rising |
| 111 | Bosnia and Herzegovina | 4 1000 t | 2023 | unchanged | rising |
| 111 | Guyana | 4 1000 t | 2023 | up 300.0% | volatile |
| 111 | Mongolia | 4 1000 t | 2023 | down 20.0% | falling |
| 111 | Suriname | 4 1000 t | 2023 | down 42.9% | falling |
| 111 | Yemen | 4 1000 t | 2023 | up 300.0% | volatile |
| 119 | Georgia | 3 1000 t | 2023 | — | volatile |
| 119 | Norway | 3 1000 t | 2023 | down 92.9% | volatile |
| 119 | Papua New Guinea | 3 1000 t | 2023 | unchanged | rising |
| 123 | Azerbaijan | 2 1000 t | 2023 | down 33.3% | volatile |
| 123 | Botswana | 2 1000 t | 2023 | — | volatile |
| 123 | Finland | 2 1000 t | 2023 | down 66.7% | volatile |
| 123 | Iceland | 2 1000 t | 2023 | down 33.3% | falling |
| 123 | Sri Lanka | 2 1000 t | 2023 | unchanged | rising |
| 123 | Lesotho | 2 1000 t | 2023 | down 33.3% | volatile |
| 123 | Malta | 2 1000 t | 2023 | down 50.0% | falling |
| 123 | Qatar | 2 1000 t | 2023 | — | rising |
| 123 | Rwanda | 2 1000 t | 2023 | up 100.0% | volatile |
| 123 | Sao Tome and Principe | 2 1000 t | 2023 | down 33.3% | falling |
| 134 | Albania | 1 1000 t | 2023 | — | volatile |
| 134 | Armenia | 1 1000 t | 2023 | unchanged | volatile |
| 134 | Bahamas | 1 1000 t | 2023 | — | volatile |
| 134 | Belize | 1 1000 t | 2023 | unchanged | flat |
| 134 | Gabon | 1 1000 t | 2023 | unchanged | falling |
| 134 | Guinea-Bissau | 1 1000 t | 2023 | unchanged | rising |
| 134 | Namibia | 1 1000 t | 2023 | — | volatile |
| 134 | Solomon Islands | 1 1000 t | 2023 | — | volatile |
| 134 | Turkmenistan | 1 1000 t | 2023 | down 50.0% | volatile |
| 144 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 144 | Burkina Faso | 0 1000 t | 2023 | — | flat |
| 144 | Congo | 0 1000 t | 2023 | down 100.0% | volatile |
| 144 | Comoros | 0 1000 t | 2023 | — | flat |
| 144 | Djibouti | 0 1000 t | 2023 | down 100.0% | volatile |
| 144 | Estonia | 0 1000 t | 2023 | down 100.0% | volatile |
| 144 | Guinea | 0 1000 t | 2023 | down 100.0% | volatile |
| 144 | Gambia | 0 1000 t | 2023 | — | flat |
| 144 | Grenada | 0 1000 t | 2023 | — | flat |
| 144 | Kyrgyzstan | 0 1000 t | 2023 | — | volatile |
| 144 | Kiribati | 0 1000 t | 2023 | — | flat |
| 144 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 144 | Liberia | 0 1000 t | 2023 | — | flat |
| 144 | Saint Lucia | 0 1000 t | 2023 | down 100.0% | volatile |
| 144 | Luxembourg | 0 1000 t | 2023 | — | volatile |
| 144 | Maldives | 0 1000 t | 2023 | — | volatile |
| 144 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 144 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 144 | Montenegro | 0 1000 t | 2023 | — | flat |
| 144 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 144 | Niger | 0 1000 t | 2023 | — | volatile |
| 144 | Nauru | 0 1000 t | 2023 | — | flat |
| 144 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 144 | Sierra Leone | 0 1000 t | 2023 | — | volatile |
| 144 | Seychelles | 0 1000 t | 2023 | — | volatile |
| 144 | Tonga | 0 1000 t | 2023 | — | flat |
| 144 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 144 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | volatile |
| 144 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 144 | Samoa | 0 1000 t | 2023 | — | flat |
| 179 | Latvia | -4 1000 t | 2023 | down 200.0% | volatile |
| 180 | Serbia | -5 1000 t | 2023 | down 200.0% | volatile |
| 182 | Slovak Republic | -41 1000 t | 2023 | down 612.5% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 59,093 1000 t
- Americas 25,054 1000 t
- Northern America 11,312 1000 t
- United States of America 11,107 1000 t
- Net Food Importing Developing Countries (NFIDCs) 4,509 1000 t
- European Union (27) 2,338 1000 t
- Western Europe 1,072 1000 t
- Low Income Food Deficit Countries (LIFDCs) 768 1000 t
- Land Locked Developing Countries (LLDCs) 598 1000 t
- Northern Europe 435 1000 t
About this data
A food balance sheet presents a comprehensive picture of the pattern of a country's food supply during a specified reference period. The food balance sheet shows for each food item - i.e. each primary commodity and a number of processed commodities potentially available for human consumption - the sources of supply and its utilization. The total quantity of foodstuffs produced in a country added to the total quantity imported and adjusted to any change in stocks that may have occurred since the beginning of the reference period gives the supply available during that period. On the utilization side a distinction is made between the quantities exported, fed to livestock, used for seed, put to manufacture for food use and non-food uses, losses during storage and transportation, and food supplies available for human consumption. The per caput supply of each such food item available for human consumption is then obtained by dividing the respective quantity by the related data on the population actually partaking of it. Data on per capita food supplies are expressed in terms of quantity and - by applying appropriate food composition factors for all primary and processed products - also in terms of caloric value and protein and fat content.