Oilcrops, Other — 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
Oilcrops, Other — Domestic supply quantity is currently reported for 160 countries. The highest value is 3,122 1000 t in China; the lowest is -55 1000 t in Burkina Faso.
The median across all reporting countries is 6 1000 t, and the mean is 106.03 1000 t.
The gap between the highest and lowest reporting country is a factor of about 57.
Over the past decade 66 countries rose and 46 fell. The largest increase was in Peru (up 8,100.0%), and the largest decrease in Burkina Faso (down 231.0%).
Oilcrops, Other — Domestic supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 3,122 1000 t | 2023 | up 26.9% | rising |
| 2 | China, mainland | 3,069 1000 t | 2023 | up 26.2% | rising |
| 3 | India | 2,432 1000 t | 2023 | up 13.9% | rising |
| 4 | Nigeria | 958 1000 t | 2023 | up 7.5% | rising |
| 5 | Pakistan | 643 1000 t | 2023 | up 35.4% | rising |
| 6 | Russia | 481 1000 t | 2023 | up 184.6% | volatile |
| 6 | Russian Federation | 481 1000 t | 2023 | up 184.6% | volatile |
| 8 | Belgium | 462 1000 t | 2023 | up 16.4% | rising |
| 9 | Republic of Korea | 360 1000 t | 2023 | up 138.4% | rising |
| 10 | United States | 316 1000 t | 2023 | down 11.2% | falling |
| 11 | Ethiopia | 289 1000 t | 2023 | up 5.1% | rising |
| 11 | Vietnam | 289 1000 t | 2023 | up 4,716.7% | volatile |
| 11 | Viet Nam | 289 1000 t | 2023 | up 4,716.7% | volatile |
| 14 | Kazakhstan | 235 1000 t | 2023 | down 14.5% | rising |
| 15 | Indonesia | 207 1000 t | 2023 | up 360.0% | volatile |
| 16 | Turkey | 206 1000 t | 2023 | up 7.3% | volatile |
| 16 | Türkiye | 206 1000 t | 2023 | up 7.3% | volatile |
| 18 | Ghana | 180 1000 t | 2023 | up 427.3% | volatile |
| 19 | Germany | 165 1000 t | 2023 | up 1.9% | rising |
| 20 | Democratic Republic of the Congo | 134 1000 t | 2023 | up 34.0% | rising |
| 21 | Canada | 132 1000 t | 2023 | up 24.5% | rising |
| 22 | Poland | 119 1000 t | 2023 | up 120.4% | rising |
| 23 | France | 107 1000 t | 2023 | up 1.9% | falling |
| 24 | Malaysia | 104 1000 t | 2023 | down 53.8% | falling |
| 25 | Thailand | 101 1000 t | 2023 | up 6.3% | falling |
| 26 | Brazil | 94 1000 t | 2023 | down 79.8% | volatile |
| 27 | Mozambique | 86 1000 t | 2023 | down 14.0% | falling |
| 28 | Peru | 82 1000 t | 2023 | up 8,100.0% | volatile |
| 29 | Mexico | 80 1000 t | 2023 | down 23.8% | falling |
| 30 | Spain | 78 1000 t | 2023 | down 32.2% | falling |
| 31 | Netherlands (Kingdom of the) | 73 1000 t | 2023 | up 108.6% | volatile |
| 32 | Bolivia (Plurinational State of) | 66 1000 t | 2023 | up 925.0% | volatile |
| 33 | Nepal | 62 1000 t | 2023 | down 66.8% | falling |
| 34 | Afghanistan | 61 1000 t | 2023 | up 2,950.0% | volatile |
| 35 | Uzbekistan | 60 1000 t | 2023 | up 106.9% | rising |
| 36 | United Kingdom | 58 1000 t | 2023 | down 12.1% | falling |
| 36 | United Kingdom of Great Britain and Northern Ireland | 58 1000 t | 2023 | down 12.1% | falling |
| 38 | China, Taiwan Province of | 53 1000 t | 2023 | up 76.7% | rising |
| 39 | Ukraine | 51 1000 t | 2023 | down 13.6% | volatile |
| 40 | Kenya | 49 1000 t | 2023 | down 14.0% | falling |
| 41 | Tajikistan | 46 1000 t | 2023 | up 2,200.0% | volatile |
| 41 | Uganda | 46 1000 t | 2023 | up 2.2% | rising |
| 43 | Cameroon | 45 1000 t | 2023 | up 7.1% | falling |
| 44 | Italy | 44 1000 t | 2023 | down 87.7% | volatile |
| 44 | Niger | 44 1000 t | 2023 | up 46.7% | rising |
| 46 | Cote d'Ivoire | 42 1000 t | 2023 | up 27.3% | rising |
| 46 | Côte d'Ivoire | 42 1000 t | 2023 | up 27.3% | rising |
| 48 | Bulgaria | 34 1000 t | 2023 | up 277.8% | volatile |
| 48 | Iran (Islamic Republic of) | 34 1000 t | 2023 | down 55.3% | falling |
| 50 | Argentina | 30 1000 t | 2023 | down 64.7% | falling |
| 50 | Serbia | 30 1000 t | 2023 | up 900.0% | volatile |
| 50 | Australia and New Zealand | 30 1000 t | 2023 | up 42.9% | rising |
| 53 | Zimbabwe | 28 1000 t | 2023 | up 3.7% | rising |
| 54 | Australia | 27 1000 t | 2023 | up 80.0% | rising |
| 55 | Sweden | 26 1000 t | 2023 | down 27.8% | falling |
| 56 | Azerbaijan | 22 1000 t | 2023 | up 37.5% | rising |
| 56 | Czechia | 22 1000 t | 2023 | up 340.0% | volatile |
| 58 | Chile | 18 1000 t | 2023 | up 200.0% | rising |
| 58 | Costa Rica | 18 1000 t | 2023 | up 260.0% | volatile |
| 58 | Philippines | 18 1000 t | 2023 | down 33.3% | volatile |
| 58 | South Africa | 18 1000 t | 2023 | up 157.1% | volatile |
| 62 | Austria | 15 1000 t | 2023 | down 42.3% | rising |
| 63 | Paraguay | 14 1000 t | 2023 | down 75.0% | falling |
| 63 | Romania | 14 1000 t | 2023 | up 100.0% | volatile |
| 65 | Egypt | 13 1000 t | 2023 | up 30.0% | rising |
| 65 | Iceland | 13 1000 t | 2023 | up 116.7% | rising |
| 67 | Bangladesh | 10 1000 t | 2023 | up 42.9% | rising |
| 67 | Switzerland | 10 1000 t | 2023 | up 11.1% | rising |
| 67 | Eswatini | 10 1000 t | 2023 | — | volatile |
| 70 | Lithuania | 9 1000 t | 2023 | up 125.0% | volatile |
| 71 | Kyrgyzstan | 8 1000 t | 2023 | down 38.5% | falling |
| 71 | Slovakia | 8 1000 t | 2023 | up 166.7% | rising |
| 73 | Gambia | 7 1000 t | 2023 | up 600.0% | volatile |
| 73 | Hungary | 7 1000 t | 2023 | unchanged | rising |
| 73 | Israel | 7 1000 t | 2023 | up 16.7% | rising |
| 73 | Jordan | 7 1000 t | 2023 | up 40.0% | rising |
| 77 | Denmark | 6 1000 t | 2023 | down 40.0% | falling |
| 77 | Iraq | 6 1000 t | 2023 | — | volatile |
| 77 | Libya | 6 1000 t | 2023 | up 500.0% | volatile |
| 77 | Madagascar | 6 1000 t | 2023 | up 20.0% | rising |
| 77 | Uruguay | 6 1000 t | 2023 | unchanged | rising |
| 77 | Caribbean | 6 1000 t | 2023 | up 200.0% | volatile |
| 83 | Belarus | 5 1000 t | 2023 | down 28.6% | volatile |
| 83 | Congo | 5 1000 t | 2023 | up 25.0% | rising |
| 83 | Ecuador | 5 1000 t | 2023 | up 66.7% | rising |
| 83 | Slovenia | 5 1000 t | 2023 | up 400.0% | volatile |
| 87 | Dominican Republic | 4 1000 t | 2023 | — | volatile |
| 87 | Finland | 4 1000 t | 2023 | up 100.0% | rising |
| 87 | Guyana | 4 1000 t | 2023 | — | volatile |
| 87 | Croatia | 4 1000 t | 2023 | down 33.3% | falling |
| 87 | Morocco | 4 1000 t | 2023 | down 20.0% | rising |
| 87 | Malawi | 4 1000 t | 2023 | unchanged | rising |
| 87 | Namibia | 4 1000 t | 2023 | — | volatile |
| 87 | Norway | 4 1000 t | 2023 | unchanged | rising |
| 87 | Tunisia | 4 1000 t | 2023 | up 33.3% | rising |
| 96 | Angola | 3 1000 t | 2023 | down 25.0% | rising |
| 96 | Ireland | 3 1000 t | 2023 | down 40.0% | falling |
| 96 | Myanmar | 3 1000 t | 2023 | up 200.0% | volatile |
| 96 | New Zealand | 3 1000 t | 2023 | down 50.0% | volatile |
| 96 | Saudi Arabia | 3 1000 t | 2023 | — | volatile |
| 101 | Colombia | 2 1000 t | 2023 | up 100.0% | rising |
| 101 | Algeria | 2 1000 t | 2023 | down 50.0% | falling |
| 101 | Estonia | 2 1000 t | 2023 | up 100.0% | volatile |
| 101 | Haiti | 2 1000 t | 2023 | unchanged | rising |
| 101 | Cambodia | 2 1000 t | 2023 | unchanged | flat |
| 101 | Latvia | 2 1000 t | 2023 | down 33.3% | falling |
| 101 | Mauritania | 2 1000 t | 2023 | down 33.3% | flat |
| 101 | Senegal | 2 1000 t | 2023 | unchanged | volatile |
| 109 | Bosnia and Herzegovina | 1 1000 t | 2023 | — | volatile |
| 109 | Cyprus | 1 1000 t | 2023 | — | volatile |
| 109 | Georgia | 1 1000 t | 2023 | unchanged | volatile |
| 109 | Greece | 1 1000 t | 2023 | down 94.7% | volatile |
| 109 | Kuwait | 1 1000 t | 2023 | down 87.5% | volatile |
| 109 | North Macedonia | 1 1000 t | 2023 | unchanged | falling |
| 109 | Oman | 1 1000 t | 2023 | — | volatile |
| 109 | El Salvador | 1 1000 t | 2023 | unchanged | volatile |
| 109 | Yemen | 1 1000 t | 2023 | unchanged | volatile |
| 118 | United Arab Emirates | 0 1000 t | 2023 | down 100.0% | volatile |
| 118 | Armenia | 0 1000 t | 2023 | — | volatile |
| 118 | Bahrain | 0 1000 t | 2023 | — | volatile |
| 118 | Belize | 0 1000 t | 2023 | — | volatile |
| 118 | Djibouti | 0 1000 t | 2023 | — | volatile |
| 118 | Fiji | 0 1000 t | 2023 | — | volatile |
| 118 | Guinea-Bissau | 0 1000 t | 2023 | down 100.0% | volatile |
| 118 | Guatemala | 0 1000 t | 2023 | down 100.0% | volatile |
| 118 | Laos | 0 1000 t | 2023 | — | volatile |
| 118 | Lebanon | 0 1000 t | 2023 | down 100.0% | volatile |
| 118 | Liberia | 0 1000 t | 2023 | — | volatile |
| 118 | Saint Lucia | 0 1000 t | 2023 | — | volatile |
| 118 | Lesotho | 0 1000 t | 2023 | down 100.0% | volatile |
| 118 | Luxembourg | 0 1000 t | 2023 | down 100.0% | volatile |
| 118 | Malta | 0 1000 t | 2023 | — | volatile |
| 118 | Montenegro | 0 1000 t | 2023 | — | volatile |
| 118 | Mongolia | 0 1000 t | 2023 | — | volatile |
| 118 | Nicaragua | 0 1000 t | 2023 | up 100.0% | volatile |
| 118 | Papua New Guinea | 0 1000 t | 2023 | down 100.0% | volatile |
| 118 | Portugal | 0 1000 t | 2023 | down 100.0% | volatile |
| 118 | French Polynesia | 0 1000 t | 2023 | — | volatile |
| 118 | Qatar | 0 1000 t | 2023 | — | volatile |
| 118 | Rwanda | 0 1000 t | 2023 | — | volatile |
| 118 | Solomon Islands | 0 1000 t | 2023 | — | volatile |
| 118 | Sierra Leone | 0 1000 t | 2023 | down 100.0% | volatile |
| 118 | East Timor | 0 1000 t | 2023 | — | volatile |
| 118 | Trinidad and Tobago | 0 1000 t | 2023 | — | volatile |
| 118 | Vanuatu | 0 1000 t | 2023 | — | volatile |
| 118 | Timor-Leste | 0 1000 t | 2023 | — | volatile |
| 118 | Melanesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 118 | Polynesia | 0 1000 t | 2023 | — | volatile |
| 118 | China, Hong Kong SAR | 0 1000 t | 2023 | — | volatile |
| 118 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | down 100.0% | volatile |
| 118 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | volatile |
| 182 | Syria | -1 1000 t | 2023 | unchanged | volatile |
| 182 | Syrian Arab Republic | -1 1000 t | 2023 | unchanged | volatile |
| 182 | United Republic of Tanzania | -1 1000 t | 2023 | down 102.2% | falling |
| 185 | Moldova | -2 1000 t | 2023 | — | volatile |
| 185 | Panama | -2 1000 t | 2023 | down 200.0% | volatile |
| 185 | Republic of Moldova | -2 1000 t | 2023 | — | volatile |
| 188 | Zambia | -7 1000 t | 2023 | — | volatile |
| 189 | Democratic People's Republic of Korea | -10 1000 t | 2018 | — | volatile |
| 190 | Burkina Faso | -55 1000 t | 2023 | down 231.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 13,197 1000 t
- Asia 8,057 1000 t
- Eastern Asia 3,486 1000 t
- Southern Asia 3,242 1000 t
- Africa 2,376 1000 t
- Net Food Importing Developing Countries (NFIDCs) 2,013 1000 t
- Europe 1,862 1000 t
- Western Africa 1,412 1000 t
- Low Income Food Deficit Countries (LIFDCs) 1,376 1000 t
- Land Locked Developing Countries (LLDCs) 1,356 1000 t
- European Union (27) 1,210 1000 t
- Least Developed Countries (LDCs) 1,148 1000 t
- Americas 871 1000 t
- Western Europe 832 1000 t
- Eastern Europe 738 1000 t
- South-Eastern Asia 723 1000 t
- Eastern Africa 571 1000 t
- Northern America 447 1000 t
- Central Asia 349 1000 t
- South America 320 1000 t
- United States of America 316 1000 t
- Middle Africa 268 1000 t
- Western Asia 256 1000 t
- Southern Europe 165 1000 t
- Northern Europe 127 1000 t
- Central America 97 1000 t
- Northern Africa 93 1000 t
- Southern Africa 32 1000 t
- Oceania 31 1000 t
- Small island developing States (SIDS) 12 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.