Oilcrops — Seed 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 — Seed is currently reported for 127 countries. The highest value is 2,790 1000 t in United States; the lowest is 0 1000 t in Yemen.
The median across all reporting countries is 8 1000 t, and the mean is 136.43 1000 t.
Over the past decade 50 countries rose and 45 fell. The largest increase was in Croatia (up 400.0%), and the largest decrease in Belgium (down 100.0%).
Oilcrops — Seed: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | United States | 2,790 1000 t | 2023 | down 5.3% | flat |
| 2 | Brazil | 2,400 1000 t | 2023 | up 86.9% | rising |
| 3 | China | 2,093 1000 t | 2023 | up 26.0% | rising |
| 4 | China, mainland | 2,086 1000 t | 2023 | up 25.9% | rising |
| 5 | India | 1,615 1000 t | 2023 | up 9.8% | rising |
| 6 | Russia | 1,022 1000 t | 2023 | up 70.9% | rising |
| 6 | Russian Federation | 1,022 1000 t | 2023 | up 70.9% | rising |
| 8 | Argentina | 681 1000 t | 2023 | down 44.9% | falling |
| 9 | Canada | 314 1000 t | 2023 | up 22.7% | rising |
| 10 | Nigeria | 280 1000 t | 2023 | up 37.9% | rising |
| 11 | Ukraine | 258 1000 t | 2023 | up 34.4% | rising |
| 12 | Myanmar | 242 1000 t | 2023 | up 21.0% | rising |
| 13 | Paraguay | 219 1000 t | 2023 | up 10.1% | rising |
| 14 | Bolivia (Plurinational State of) | 169 1000 t | 2023 | up 24.3% | rising |
| 15 | Philippines | 149 1000 t | 2023 | down 3.2% | flat |
| 16 | Pakistan | 133 1000 t | 2023 | down 18.4% | falling |
| 17 | Senegal | 116 1000 t | 2023 | up 56.8% | rising |
| 18 | Germany | 95 1000 t | 2023 | up 280.0% | volatile |
| 19 | Kazakhstan | 92 1000 t | 2023 | up 12.2% | rising |
| 20 | United Republic of Tanzania | 84 1000 t | 2023 | down 51.7% | falling |
| 21 | Uzbekistan | 83 1000 t | 2023 | down 38.5% | falling |
| 22 | Cameroon | 76 1000 t | 2023 | up 31.0% | rising |
| 23 | Democratic Republic of the Congo | 69 1000 t | 2023 | up 30.2% | rising |
| 24 | Burkina Faso | 68 1000 t | 2023 | up 61.9% | rising |
| 25 | Niger | 65 1000 t | 2023 | up 32.7% | rising |
| 26 | Mozambique | 63 1000 t | 2023 | up 133.3% | rising |
| 27 | Zambia | 52 1000 t | 2023 | up 108.0% | rising |
| 28 | Turkey | 47 1000 t | 2023 | down 7.8% | rising |
| 28 | Türkiye | 47 1000 t | 2023 | down 7.8% | rising |
| 30 | Greece | 44 1000 t | 2023 | up 29.4% | rising |
| 31 | Uganda | 38 1000 t | 2023 | up 15.2% | rising |
| 31 | Australia and New Zealand | 38 1000 t | 2023 | up 15.2% | rising |
| 33 | Australia | 37 1000 t | 2023 | up 12.1% | rising |
| 34 | Colombia | 36 1000 t | 2023 | down 10.0% | rising |
| 34 | Ghana | 36 1000 t | 2023 | up 44.0% | rising |
| 34 | Malawi | 36 1000 t | 2023 | down 7.7% | flat |
| 37 | Bulgaria | 32 1000 t | 2023 | down 8.6% | rising |
| 37 | Italy | 32 1000 t | 2023 | unchanged | rising |
| 39 | Turkmenistan | 31 1000 t | 2023 | up 3.3% | flat |
| 40 | Angola | 30 1000 t | 2023 | up 25.0% | rising |
| 41 | Cote d'Ivoire | 26 1000 t | 2023 | up 73.3% | rising |
| 41 | Côte d'Ivoire | 26 1000 t | 2023 | up 73.3% | rising |
| 43 | France | 22 1000 t | 2023 | up 37.5% | rising |
| 44 | Zimbabwe | 21 1000 t | 2023 | up 40.0% | falling |
| 45 | Romania | 20 1000 t | 2023 | up 11.1% | rising |
| 46 | Indonesia | 19 1000 t | 2023 | down 56.8% | falling |
| 47 | South Africa | 18 1000 t | 2023 | up 38.5% | rising |
| 48 | Spain | 16 1000 t | 2023 | up 128.6% | rising |
| 49 | Belarus | 15 1000 t | 2023 | unchanged | falling |
| 49 | Croatia | 15 1000 t | 2023 | up 400.0% | volatile |
| 51 | Hungary | 14 1000 t | 2023 | up 16.7% | rising |
| 52 | Ethiopia | 13 1000 t | 2023 | unchanged | rising |
| 52 | Poland | 13 1000 t | 2023 | up 62.5% | falling |
| 52 | Uruguay | 13 1000 t | 2023 | down 80.0% | falling |
| 55 | Bangladesh | 12 1000 t | 2023 | up 33.3% | rising |
| 55 | Libya | 12 1000 t | 2023 | down 25.0% | falling |
| 57 | Democratic People's Republic of Korea | 11 1000 t | 2018 | down 60.7% | falling |
| 58 | Egypt | 10 1000 t | 2023 | unchanged | rising |
| 58 | Guinea | 10 1000 t | 2023 | up 66.7% | rising |
| 60 | Austria | 9 1000 t | 2023 | up 80.0% | rising |
| 60 | Mexico | 9 1000 t | 2023 | down 18.2% | falling |
| 62 | United Kingdom | 8 1000 t | 2023 | down 20.0% | falling |
| 62 | Madagascar | 8 1000 t | 2023 | up 60.0% | rising |
| 62 | United Kingdom of Great Britain and Northern Ireland | 8 1000 t | 2023 | down 20.0% | falling |
| 65 | Costa Rica | 7 1000 t | 2023 | — | volatile |
| 65 | Czechia | 7 1000 t | 2023 | up 75.0% | rising |
| 65 | Serbia | 7 1000 t | 2023 | up 16.7% | flat |
| 65 | Tajikistan | 7 1000 t | 2023 | down 22.2% | falling |
| 65 | China, Taiwan Province of | 7 1000 t | 2023 | up 75.0% | rising |
| 70 | Azerbaijan | 6 1000 t | 2023 | up 100.0% | rising |
| 70 | Thailand | 6 1000 t | 2023 | down 40.0% | falling |
| 72 | Sri Lanka | 5 1000 t | 2023 | unchanged | falling |
| 72 | Iran (Islamic Republic of) | 5 1000 t | 2023 | down 37.5% | falling |
| 74 | Denmark | 4 1000 t | 2023 | unchanged | volatile |
| 74 | Gambia | 4 1000 t | 2023 | down 42.9% | falling |
| 74 | Moldova | 4 1000 t | 2023 | down 42.9% | falling |
| 74 | Malaysia | 4 1000 t | 2023 | — | volatile |
| 74 | Slovakia | 4 1000 t | 2023 | up 100.0% | rising |
| 74 | Syria | 4 1000 t | 2023 | down 69.2% | volatile |
| 74 | Vietnam | 4 1000 t | 2023 | down 75.0% | falling |
| 74 | Republic of Korea | 4 1000 t | 2023 | down 33.3% | falling |
| 74 | Republic of Moldova | 4 1000 t | 2023 | down 42.9% | falling |
| 74 | Syrian Arab Republic | 4 1000 t | 2023 | down 69.2% | volatile |
| 74 | Viet Nam | 4 1000 t | 2023 | down 75.0% | falling |
| 85 | Afghanistan | 3 1000 t | 2023 | up 50.0% | rising |
| 85 | Congo | 3 1000 t | 2023 | unchanged | flat |
| 85 | Kenya | 3 1000 t | 2023 | down 25.0% | falling |
| 85 | Lithuania | 3 1000 t | 2023 | down 91.7% | volatile |
| 85 | Nepal | 3 1000 t | 2023 | unchanged | flat |
| 90 | Chile | 2 1000 t | 2023 | up 100.0% | rising |
| 90 | Fiji | 2 1000 t | 2023 | unchanged | rising |
| 90 | Georgia | 2 1000 t | 2023 | down 66.7% | volatile |
| 90 | Guinea-Bissau | 2 1000 t | 2023 | down 33.3% | falling |
| 90 | Haiti | 2 1000 t | 2023 | down 60.0% | volatile |
| 90 | Israel | 2 1000 t | 2023 | up 100.0% | rising |
| 90 | Kyrgyzstan | 2 1000 t | 2023 | down 33.3% | falling |
| 90 | Cambodia | 2 1000 t | 2023 | down 66.7% | falling |
| 90 | Laos | 2 1000 t | 2023 | unchanged | falling |
| 90 | Rwanda | 2 1000 t | 2023 | unchanged | rising |
| 90 | Melanesia | 2 1000 t | 2023 | unchanged | rising |
| 90 | Caribbean | 2 1000 t | 2023 | down 60.0% | volatile |
| 90 | Venezuela (Bolivarian Republic of) | 2 1000 t | 2023 | unchanged | volatile |
| 90 | Lao People's Democratic Republic | 2 1000 t | 2023 | unchanged | falling |
| 104 | Bosnia and Herzegovina | 1 1000 t | 2023 | — | volatile |
| 104 | Botswana | 1 1000 t | 2023 | — | volatile |
| 104 | Switzerland | 1 1000 t | 2023 | — | volatile |
| 104 | Algeria | 1 1000 t | 2023 | — | volatile |
| 104 | Ecuador | 1 1000 t | 2023 | down 50.0% | falling |
| 104 | Gabon | 1 1000 t | 2023 | unchanged | flat |
| 104 | Guatemala | 1 1000 t | 2023 | unchanged | flat |
| 104 | Liberia | 1 1000 t | 2023 | unchanged | falling |
| 104 | Latvia | 1 1000 t | 2023 | unchanged | flat |
| 104 | Morocco | 1 1000 t | 2023 | down 50.0% | falling |
| 104 | Nicaragua | 1 1000 t | 2023 | unchanged | volatile |
| 104 | Peru | 1 1000 t | 2023 | down 50.0% | falling |
| 104 | Sierra Leone | 1 1000 t | 2023 | down 75.0% | volatile |
| 104 | Slovenia | 1 1000 t | 2023 | — | volatile |
| 104 | Tunisia | 1 1000 t | 2023 | — | volatile |
| 119 | Belgium | 0 1000 t | 2023 | down 100.0% | volatile |
| 119 | Belize | 0 1000 t | 2023 | — | volatile |
| 119 | Iraq | 0 1000 t | 2023 | down 100.0% | volatile |
| 119 | Mongolia | 0 1000 t | 2023 | — | volatile |
| 119 | Panama | 0 1000 t | 2023 | — | volatile |
| 119 | Portugal | 0 1000 t | 2023 | — | volatile |
| 119 | El Salvador | 0 1000 t | 2023 | — | volatile |
| 119 | Sweden | 0 1000 t | 2023 | down 100.0% | volatile |
| 119 | Yemen | 0 1000 t | 2023 | down 100.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 14,483 1000 t
- Americas 6,650 1000 t
- Asia 4,601 1000 t
- South America 3,525 1000 t
- Northern America 3,104 1000 t
- United States of America 2,790 1000 t
- Eastern Asia 2,122 1000 t
- Southern Asia 1,776 1000 t
- Europe 1,651 1000 t
- Africa 1,541 1000 t
- Net Food Importing Developing Countries (NFIDCs) 1,504 1000 t
- Eastern Europe 1,390 1000 t
- Least Developed Countries (LDCs) 1,318 1000 t
- Low Income Food Deficit Countries (LIFDCs) 1,192 1000 t
- Land Locked Developing Countries (LLDCs) 1,127 1000 t
- Western Africa 740 1000 t
- South-Eastern Asia 428 1000 t
- Eastern Africa 360 1000 t
- European Union (27) 336 1000 t
- Middle Africa 271 1000 t
- Central Asia 215 1000 t
- Northern Africa 151 1000 t
- Western Europe 127 1000 t
- Southern Europe 117 1000 t
- Western Asia 60 1000 t
- Oceania 40 1000 t
- Southern Africa 19 1000 t
- Central America 19 1000 t
- Northern Europe 17 1000 t
- Small island developing States (SIDS) 7 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.