Soyabeans — Export 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
Soyabeans — Export quantity is currently reported for 145 countries. The highest value is 101,870 1000 t in Brazil; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 0 1000 t, and the mean is 857.82 1000 t.
Over the past decade 30 countries rose and 26 fell. The largest increase was in Mozambique (up 8,500.0%), and the largest decrease in Djibouti (down 100.0%).
Soyabeans — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Brazil | 101,870 1000 t | 2023 | up 138.0% | rising |
| 2 | Paraguay | 6,495 1000 t | 2023 | up 27.8% | rising |
| 3 | Canada | 4,471 1000 t | 2023 | up 35.8% | rising |
| 4 | Ukraine | 3,490 1000 t | 2023 | up 133.8% | rising |
| 5 | Argentina | 1,854 1000 t | 2023 | down 76.2% | falling |
| 6 | Russian Federation | 1,380 1000 t | 2023 | up 1,542.9% | volatile |
| 7 | Netherlands (Kingdom of the) | 1,002 1000 t | 2023 | down 29.4% | falling |
| 8 | Uruguay | 775 1000 t | 2023 | down 78.0% | falling |
| 9 | Bolivia (Plurinational State of) | 459 1000 t | 2023 | down 21.3% | volatile |
| 10 | Croatia | 224 1000 t | 2023 | up 307.3% | volatile |
| 11 | Ethiopia | 208 1000 t | 2023 | up 5,100.0% | volatile |
| 12 | Hungary | 149 1000 t | 2023 | up 282.1% | volatile |
| 13 | China | 142 1000 t | 2023 | down 46.8% | falling |
| 14 | Romania | 133 1000 t | 2023 | up 241.0% | volatile |
| 15 | China, mainland | 128 1000 t | 2023 | down 46.4% | falling |
| 16 | France | 122 1000 t | 2023 | up 510.0% | volatile |
| 17 | Slovakia | 114 1000 t | 2023 | up 208.1% | volatile |
| 18 | Austria | 106 1000 t | 2023 | up 171.8% | rising |
| 19 | United Republic of Tanzania | 101 1000 t | 2023 | up 2,425.0% | volatile |
| 20 | Nigeria | 98 1000 t | 2023 | up 4,800.0% | volatile |
| 21 | Zambia | 92 1000 t | 2023 | up 4,500.0% | volatile |
| 22 | Belgium | 90 1000 t | 2023 | down 10.9% | falling |
| 23 | Mozambique | 86 1000 t | 2023 | up 8,500.0% | volatile |
| 24 | Poland | 80 1000 t | 2023 | up 3,900.0% | volatile |
| 24 | Türkiye | 80 1000 t | 2023 | up 370.6% | volatile |
| 26 | Pakistan | 71 1000 t | 2023 | — | volatile |
| 27 | Ghana | 62 1000 t | 2023 | — | volatile |
| 28 | Slovenia | 60 1000 t | 2023 | up 42.9% | volatile |
| 29 | Malawi | 58 1000 t | 2023 | up 314.3% | volatile |
| 30 | Kazakhstan | 46 1000 t | 2023 | up 130.0% | volatile |
| 31 | Republic of Moldova | 42 1000 t | 2023 | up 223.1% | volatile |
| 32 | Czechia | 41 1000 t | 2023 | up 925.0% | volatile |
| 33 | Burkina Faso | 30 1000 t | 2023 | — | volatile |
| 34 | Germany | 28 1000 t | 2023 | up 33.3% | volatile |
| 35 | India | 25 1000 t | 2023 | down 82.1% | volatile |
| 36 | Thailand | 22 1000 t | 2023 | up 83.3% | rising |
| 37 | Uganda | 19 1000 t | 2023 | up 850.0% | volatile |
| 38 | Italy | 18 1000 t | 2023 | down 37.9% | volatile |
| 39 | Malaysia | 15 1000 t | 2023 | down 16.7% | volatile |
| 40 | Cambodia | 13 1000 t | 2023 | up 225.0% | volatile |
| 41 | Bosnia and Herzegovina | 9 1000 t | 2023 | — | volatile |
| 42 | Indonesia | 8 1000 t | 2023 | up 100.0% | volatile |
| 42 | Portugal | 8 1000 t | 2023 | up 14.3% | volatile |
| 44 | China, Hong Kong SAR | 7 1000 t | 2023 | down 63.2% | falling |
| 44 | China, Taiwan Province of | 7 1000 t | 2023 | down 12.5% | flat |
| 46 | Australia | 5 1000 t | 2023 | down 44.4% | volatile |
| 46 | Serbia | 5 1000 t | 2023 | down 80.0% | volatile |
| 46 | Australia and New Zealand | 5 1000 t | 2023 | down 44.4% | volatile |
| 49 | Chile | 4 1000 t | 2023 | down 20.0% | falling |
| 49 | Spain | 4 1000 t | 2023 | down 78.9% | volatile |
| 49 | Philippines | 4 1000 t | 2023 | up 300.0% | rising |
| 52 | Côte d'Ivoire | 3 1000 t | 2023 | — | volatile |
| 52 | United Kingdom of Great Britain and Northern Ireland | 3 1000 t | 2023 | down 25.0% | volatile |
| 54 | United Arab Emirates | 2 1000 t | 2023 | down 60.0% | volatile |
| 54 | Latvia | 2 1000 t | 2023 | — | volatile |
| 54 | Republic of Korea | 2 1000 t | 2023 | down 50.0% | rising |
| 57 | Denmark | 1 1000 t | 2023 | unchanged | volatile |
| 57 | Greece | 1 1000 t | 2023 | — | volatile |
| 57 | Ireland | 1 1000 t | 2023 | unchanged | volatile |
| 57 | Lithuania | 1 1000 t | 2023 | — | volatile |
| 57 | Myanmar | 1 1000 t | 2023 | down 80.0% | volatile |
| 57 | Peru | 1 1000 t | 2023 | — | volatile |
| 57 | Viet Nam | 1 1000 t | 2023 | down 93.8% | volatile |
| 64 | Afghanistan | 0 1000 t | 2020 | — | flat |
| 64 | Angola | 0 1000 t | 2022 | — | flat |
| 64 | Albania | 0 1000 t | 2023 | — | flat |
| 64 | Armenia | 0 1000 t | 2023 | — | flat |
| 64 | Antigua and Barbuda | 0 1000 t | 2014 | — | flat |
| 64 | Bangladesh | 0 1000 t | 2023 | — | volatile |
| 64 | Bulgaria | 0 1000 t | 2023 | — | volatile |
| 64 | Bahrain | 0 1000 t | 2023 | — | flat |
| 64 | Belarus | 0 1000 t | 2023 | — | volatile |
| 64 | Belize | 0 1000 t | 2022 | — | flat |
| 64 | Barbados | 0 1000 t | 2020 | — | flat |
| 64 | Bhutan | 0 1000 t | 2023 | — | flat |
| 64 | Botswana | 0 1000 t | 2023 | — | flat |
| 64 | Switzerland | 0 1000 t | 2023 | — | flat |
| 64 | Cameroon | 0 1000 t | 2023 | — | volatile |
| 64 | Colombia | 0 1000 t | 2023 | — | flat |
| 64 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 64 | Cyprus | 0 1000 t | 2023 | — | flat |
| 64 | Djibouti | 0 1000 t | 2023 | down 100.0% | volatile |
| 64 | Dominican Republic | 0 1000 t | 2023 | — | flat |
| 64 | Algeria | 0 1000 t | 2023 | — | flat |
| 64 | Ecuador | 0 1000 t | 2023 | — | flat |
| 64 | Egypt | 0 1000 t | 2023 | — | volatile |
| 64 | Estonia | 0 1000 t | 2023 | down 100.0% | volatile |
| 64 | Finland | 0 1000 t | 2023 | — | volatile |
| 64 | Fiji | 0 1000 t | 2023 | — | flat |
| 64 | Georgia | 0 1000 t | 2023 | — | volatile |
| 64 | Gambia | 0 1000 t | 2023 | — | flat |
| 64 | Guatemala | 0 1000 t | 2023 | down 100.0% | volatile |
| 64 | Guyana | 0 1000 t | 2023 | — | flat |
| 64 | Honduras | 0 1000 t | 2023 | — | flat |
| 64 | Iceland | 0 1000 t | 2023 | — | flat |
| 64 | Israel | 0 1000 t | 2023 | — | flat |
| 64 | Jamaica | 0 1000 t | 2023 | — | flat |
| 64 | Jordan | 0 1000 t | 2023 | — | volatile |
| 64 | Kenya | 0 1000 t | 2023 | — | volatile |
| 64 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 64 | Kuwait | 0 1000 t | 2023 | — | flat |
| 64 | Lebanon | 0 1000 t | 2023 | — | flat |
| 64 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 64 | Sri Lanka | 0 1000 t | 2023 | — | volatile |
| 64 | Lesotho | 0 1000 t | 2021 | — | flat |
| 64 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 64 | Morocco | 0 1000 t | 2023 | — | flat |
| 64 | Madagascar | 0 1000 t | 2023 | — | volatile |
| 64 | Mexico | 0 1000 t | 2023 | — | volatile |
| 64 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 64 | Malta | 0 1000 t | 2022 | — | flat |
| 64 | Montenegro | 0 1000 t | 2021 | — | flat |
| 64 | Mauritius | 0 1000 t | 2023 | — | flat |
| 64 | Namibia | 0 1000 t | 2023 | — | flat |
| 64 | New Caledonia | 0 1000 t | 2015 | — | flat |
| 64 | Nicaragua | 0 1000 t | 2023 | — | volatile |
| 64 | Norway | 0 1000 t | 2023 | — | flat |
| 64 | Nepal | 0 1000 t | 2023 | — | flat |
| 64 | New Zealand | 0 1000 t | 2023 | — | flat |
| 64 | Oman | 0 1000 t | 2023 | — | flat |
| 64 | Panama | 0 1000 t | 2023 | — | flat |
| 64 | Rwanda | 0 1000 t | 2023 | — | flat |
| 64 | Saudi Arabia | 0 1000 t | 2023 | — | flat |
| 64 | Senegal | 0 1000 t | 2023 | — | volatile |
| 64 | Solomon Islands | 0 1000 t | 2018 | — | flat |
| 64 | El Salvador | 0 1000 t | 2023 | — | flat |
| 64 | Suriname | 0 1000 t | 2023 | — | flat |
| 64 | Sweden | 0 1000 t | 2023 | — | volatile |
| 64 | Eswatini | 0 1000 t | 2023 | — | flat |
| 64 | Trinidad and Tobago | 0 1000 t | 2023 | — | volatile |
| 64 | Tunisia | 0 1000 t | 2023 | — | volatile |
| 64 | Uzbekistan | 0 1000 t | 2023 | — | flat |
| 64 | Samoa | 0 1000 t | 2022 | — | flat |
| 64 | Yemen | 0 1000 t | 2023 | — | flat |
| 64 | Zimbabwe | 0 1000 t | 2023 | — | volatile |
| 64 | Melanesia | 0 1000 t | 2023 | — | flat |
| 64 | Polynesia | 0 1000 t | 2023 | — | flat |
| 64 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | volatile |
| 64 | Caribbean | 0 1000 t | 2023 | — | volatile |
| 64 | Iran (Islamic Republic of) | 0 1000 t | 2023 | down 100.0% | volatile |
| 64 | Syrian Arab Republic | 0 1000 t | 2023 | — | volatile |
| 64 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | flat |
| 64 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | volatile |
| 64 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | flat |
| 64 | 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 173,809 1000 t
- Americas 164,661 1000 t
- South America 111,458 1000 t
- Northern America 53,202 1000 t
- United States of America 48,731 1000 t
- Land Locked Developing Countries (LLDCs) 7,453 1000 t
- Europe 7,116 1000 t
- Eastern Europe 5,429 1000 t
- European Union (27) 2,187 1000 t
- Africa 1,582 1000 t
- Western Europe 1,348 1000 t
- Net Food Importing Developing Countries (NFIDCs) 819 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.