Soyabeans — Feed 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
Soyabeans — Feed is currently reported for 135 countries. The highest value is 14,625 1000 t in China; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 1 1000 t, and the mean is 348.26 1000 t.
Over the past decade 30 countries rose and 39 fell. The largest increase was in Mozambique (up 2,200.0%), and the largest decrease in United Arab Emirates (down 100.0%).
Soyabeans — Feed: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 14,625 1000 t | 2023 | up 64.0% | rising |
| 2 | China, mainland | 14,603 1000 t | 2023 | up 63.8% | rising |
| 3 | Argentina | 6,141 1000 t | 2023 | up 113.1% | rising |
| 4 | India | 3,360 1000 t | 2023 | up 1,083.1% | volatile |
| 5 | Algeria | 1,481 1000 t | 2023 | — | volatile |
| 6 | Türkiye | 1,201 1000 t | 2023 | up 55.6% | rising |
| 7 | Mexico | 1,098 1000 t | 2023 | up 12.6% | rising |
| 8 | Russian Federation | 998 1000 t | 2023 | up 66.3% | rising |
| 9 | Brazil | 746 1000 t | 2023 | down 27.9% | volatile |
| 10 | Iran (Islamic Republic of) | 388 1000 t | 2023 | up 89.3% | falling |
| 11 | Spain | 309 1000 t | 2023 | up 1,831.2% | volatile |
| 12 | Peru | 195 1000 t | 2023 | up 41.3% | rising |
| 13 | Canada | 179 1000 t | 2023 | down 51.6% | falling |
| 14 | Viet Nam | 167 1000 t | 2023 | up 28.5% | rising |
| 15 | Belgium | 150 1000 t | 2023 | up 145.9% | flat |
| 16 | France | 119 1000 t | 2023 | down 23.2% | volatile |
| 17 | Germany | 115 1000 t | 2023 | up 43.8% | volatile |
| 18 | Kazakhstan | 100 1000 t | 2023 | down 2.9% | rising |
| 19 | Zambia | 89 1000 t | 2023 | down 1.1% | volatile |
| 20 | Austria | 88 1000 t | 2023 | up 104.7% | rising |
| 21 | Nigeria | 76 1000 t | 2023 | up 94.9% | rising |
| 22 | Malawi | 69 1000 t | 2023 | up 21.1% | rising |
| 23 | Saudi Arabia | 59 1000 t | 2023 | down 29.8% | volatile |
| 24 | Romania | 57 1000 t | 2023 | up 185.0% | volatile |
| 25 | Italy | 50 1000 t | 2023 | down 66.7% | volatile |
| 26 | Serbia | 40 1000 t | 2023 | — | volatile |
| 27 | Tunisia | 39 1000 t | 2023 | — | volatile |
| 28 | Ukraine | 37 1000 t | 2023 | up 23.3% | volatile |
| 29 | Denmark | 31 1000 t | 2023 | up 210.0% | volatile |
| 30 | Uzbekistan | 30 1000 t | 2023 | up 900.0% | volatile |
| 31 | Myanmar | 29 1000 t | 2023 | — | falling |
| 32 | Portugal | 27 1000 t | 2023 | down 34.1% | rising |
| 33 | Panama | 25 1000 t | 2023 | up 177.8% | volatile |
| 33 | United Kingdom of Great Britain and Northern Ireland | 25 1000 t | 2023 | down 32.4% | volatile |
| 35 | Hungary | 23 1000 t | 2023 | up 35.3% | rising |
| 35 | Mozambique | 23 1000 t | 2023 | up 2,200.0% | volatile |
| 37 | Democratic People's Republic of Korea | 20 1000 t | 2018 | down 9.1% | volatile |
| 38 | Paraguay | 18 1000 t | 2023 | down 66.7% | volatile |
| 39 | Malaysia | 16 1000 t | 2023 | down 65.2% | volatile |
| 39 | Republic of Moldova | 16 1000 t | 2023 | up 220.0% | rising |
| 41 | Poland | 15 1000 t | 2023 | down 6.2% | volatile |
| 42 | Angola | 14 1000 t | 2023 | up 600.0% | volatile |
| 43 | Bolivia (Plurinational State of) | 13 1000 t | 2023 | down 31.6% | falling |
| 44 | Afghanistan | 12 1000 t | 2023 | — | volatile |
| 45 | Azerbaijan | 10 1000 t | 2023 | down 16.7% | volatile |
| 46 | Indonesia | 9 1000 t | 2023 | down 25.0% | falling |
| 47 | Burkina Faso | 6 1000 t | 2023 | up 500.0% | volatile |
| 47 | Chile | 6 1000 t | 2023 | — | volatile |
| 47 | Caribbean | 6 1000 t | 2023 | down 71.4% | volatile |
| 50 | Cuba | 5 1000 t | 2019 | up 66.7% | volatile |
| 50 | Kyrgyzstan | 5 1000 t | 2023 | up 25.0% | falling |
| 50 | Slovakia | 5 1000 t | 2023 | — | volatile |
| 50 | Thailand | 5 1000 t | 2023 | unchanged | volatile |
| 54 | Costa Rica | 4 1000 t | 2023 | — | volatile |
| 55 | Switzerland | 3 1000 t | 2023 | — | volatile |
| 55 | Dominican Republic | 3 1000 t | 2023 | up 50.0% | rising |
| 55 | Greece | 3 1000 t | 2023 | up 50.0% | volatile |
| 55 | Ireland | 3 1000 t | 2023 | down 75.0% | volatile |
| 59 | Australia | 2 1000 t | 2023 | down 66.7% | volatile |
| 59 | Finland | 2 1000 t | 2023 | down 75.0% | volatile |
| 59 | Iraq | 2 1000 t | 2023 | — | volatile |
| 59 | Kenya | 2 1000 t | 2023 | — | volatile |
| 59 | Norway | 2 1000 t | 2023 | down 60.0% | volatile |
| 59 | Australia and New Zealand | 2 1000 t | 2023 | down 66.7% | volatile |
| 65 | Armenia | 1 1000 t | 2023 | — | volatile |
| 65 | Bulgaria | 1 1000 t | 2023 | — | falling |
| 65 | Belarus | 1 1000 t | 2023 | unchanged | volatile |
| 65 | Czechia | 1 1000 t | 2023 | — | volatile |
| 65 | Croatia | 1 1000 t | 2023 | down 66.7% | volatile |
| 65 | Cambodia | 1 1000 t | 2023 | down 50.0% | volatile |
| 65 | Latvia | 1 1000 t | 2023 | — | volatile |
| 65 | Montenegro | 1 1000 t | 2023 | — | volatile |
| 65 | Philippines | 1 1000 t | 2023 | — | volatile |
| 65 | Slovenia | 1 1000 t | 2023 | down 50.0% | volatile |
| 65 | China, Hong Kong SAR | 1 1000 t | 2023 | down 50.0% | volatile |
| 65 | Syrian Arab Republic | 1 1000 t | 2023 | — | volatile |
| 65 | Lao People's Democratic Republic | 1 1000 t | 2023 | unchanged | volatile |
| 65 | United Republic of Tanzania | 1 1000 t | 2022 | unchanged | volatile |
| 79 | Albania | 0 1000 t | 2023 | — | flat |
| 79 | United Arab Emirates | 0 1000 t | 2023 | down 100.0% | volatile |
| 79 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 79 | Bahamas | 0 1000 t | 2023 | — | flat |
| 79 | Bosnia and Herzegovina | 0 1000 t | 2022 | — | flat |
| 79 | Barbados | 0 1000 t | 2023 | — | volatile |
| 79 | Bhutan | 0 1000 t | 2023 | — | flat |
| 79 | Congo | 0 1000 t | 2023 | — | flat |
| 79 | Colombia | 0 1000 t | 2023 | — | flat |
| 79 | Cyprus | 0 1000 t | 2023 | — | flat |
| 79 | Ecuador | 0 1000 t | 2023 | down 100.0% | volatile |
| 79 | Egypt | 0 1000 t | 2023 | down 100.0% | volatile |
| 79 | Estonia | 0 1000 t | 2023 | down 100.0% | volatile |
| 79 | Gabon | 0 1000 t | 2023 | — | flat |
| 79 | Georgia | 0 1000 t | 2023 | down 100.0% | volatile |
| 79 | Ghana | 0 1000 t | 2023 | down 100.0% | volatile |
| 79 | Guinea | 0 1000 t | 2023 | — | flat |
| 79 | Guatemala | 0 1000 t | 2023 | — | volatile |
| 79 | Guyana | 0 1000 t | 2023 | — | volatile |
| 79 | Honduras | 0 1000 t | 2023 | — | flat |
| 79 | Haiti | 0 1000 t | 2022 | — | flat |
| 79 | Iceland | 0 1000 t | 2023 | — | volatile |
| 79 | Israel | 0 1000 t | 2021 | down 100.0% | volatile |
| 79 | Jordan | 0 1000 t | 2023 | — | flat |
| 79 | Lebanon | 0 1000 t | 2020 | — | volatile |
| 79 | Liberia | 0 1000 t | 2023 | — | flat |
| 79 | Libya | 0 1000 t | 2023 | — | flat |
| 79 | Sri Lanka | 0 1000 t | 2023 | — | volatile |
| 79 | Lesotho | 0 1000 t | 2023 | — | flat |
| 79 | Lithuania | 0 1000 t | 2023 | down 100.0% | volatile |
| 79 | Luxembourg | 0 1000 t | 2023 | — | volatile |
| 79 | Morocco | 0 1000 t | 2023 | down 100.0% | volatile |
| 79 | Madagascar | 0 1000 t | 2020 | — | flat |
| 79 | North Macedonia | 0 1000 t | 2019 | — | flat |
| 79 | Malta | 0 1000 t | 2023 | — | volatile |
| 79 | Mauritius | 0 1000 t | 2023 | — | flat |
| 79 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 79 | Nicaragua | 0 1000 t | 2023 | — | volatile |
| 79 | Nepal | 0 1000 t | 2023 | — | volatile |
| 79 | New Zealand | 0 1000 t | 2023 | — | flat |
| 79 | Pakistan | 0 1000 t | 2023 | — | flat |
| 79 | French Polynesia | 0 1000 t | 2018 | — | flat |
| 79 | Rwanda | 0 1000 t | 2023 | down 100.0% | volatile |
| 79 | Seychelles | 0 1000 t | 2023 | — | volatile |
| 79 | Tajikistan | 0 1000 t | 2023 | — | volatile |
| 79 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 79 | Uganda | 0 1000 t | 2023 | — | flat |
| 79 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | down 100.0% | volatile |
| 79 | Vanuatu | 0 1000 t | 2022 | — | flat |
| 79 | Samoa | 0 1000 t | 2022 | — | flat |
| 79 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 79 | Melanesia | 0 1000 t | 2023 | — | flat |
| 79 | Polynesia | 0 1000 t | 2022 | — | flat |
| 79 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 79 | Republic of Korea | 0 1000 t | 2023 | down 100.0% | volatile |
| 79 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | down 100.0% | volatile |
| 79 | China, Macao SAR | 0 1000 t | 2023 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 34,628 1000 t
- Asia 20,109 1000 t
- Eastern Asia 14,710 1000 t
- Americas 10,146 1000 t
- South America 7,118 1000 t
- Southern Asia 3,762 1000 t
- Africa 2,248 1000 t
- Europe 2,122 1000 t
- Northern America 1,892 1000 t
- United States of America 1,713 1000 t
- Northern Africa 1,520 1000 t
- Western Asia 1,273 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.