Soyabean Oil — 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
Soyabean Oil — Export quantity is currently reported for 101 countries. The highest value is 3,683 1000 t in Argentina; the lowest is 0 1000 t in Syrian Arab Republic.
The median across all reporting countries is 8 1000 t, and the mean is 120.96 1000 t.
Over the past decade 39 countries rose and 28 fell. The largest increase was in Slovakia (up 5,200.0%), and the largest decrease in Bulgaria (down 100.0%).
Soyabean Oil — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Argentina | 3,683 1000 t | 2023 | down 13.6% | flat |
| 2 | Brazil | 2,334 1000 t | 2023 | up 71.4% | rising |
| 3 | Bolivia (Plurinational State of) | 580 1000 t | 2023 | up 92.7% | rising |
| 4 | Netherlands (Kingdom of the) | 531 1000 t | 2023 | up 5.6% | rising |
| 5 | Paraguay | 523 1000 t | 2023 | up 0.8% | rising |
| 6 | Russia | 426 1000 t | 2023 | up 129.0% | rising |
| 6 | Russian Federation | 426 1000 t | 2023 | up 129.0% | rising |
| 8 | Spain | 344 1000 t | 2023 | down 47.4% | falling |
| 9 | Ukraine | 298 1000 t | 2023 | up 263.4% | volatile |
| 10 | Turkey | 291 1000 t | 2023 | up 2,810.0% | volatile |
| 10 | Türkiye | 291 1000 t | 2023 | up 2,810.0% | volatile |
| 12 | Thailand | 265 1000 t | 2023 | up 373.2% | volatile |
| 13 | Italy | 222 1000 t | 2023 | up 217.1% | volatile |
| 14 | China | 174 1000 t | 2023 | up 41.5% | rising |
| 15 | United States | 151 1000 t | 2023 | down 81.4% | falling |
| 16 | Canada | 140 1000 t | 2023 | up 34.6% | rising |
| 17 | Portugal | 137 1000 t | 2023 | up 132.2% | rising |
| 18 | China, mainland | 125 1000 t | 2023 | up 38.9% | rising |
| 19 | Malaysia | 100 1000 t | 2023 | down 25.9% | falling |
| 20 | Poland | 86 1000 t | 2023 | up 4,200.0% | volatile |
| 21 | Germany | 83 1000 t | 2023 | down 74.2% | falling |
| 22 | South Africa | 81 1000 t | 2023 | up 26.6% | rising |
| 23 | Egypt | 76 1000 t | 2023 | up 145.2% | volatile |
| 24 | Norway | 72 1000 t | 2023 | up 4.3% | falling |
| 25 | Serbia | 69 1000 t | 2023 | up 165.4% | rising |
| 26 | Saudi Arabia | 64 1000 t | 2023 | down 25.6% | falling |
| 27 | France | 62 1000 t | 2023 | up 47.6% | rising |
| 28 | Colombia | 53 1000 t | 2023 | up 1,666.7% | volatile |
| 28 | Slovakia | 53 1000 t | 2023 | up 5,200.0% | volatile |
| 30 | China, Taiwan Province of | 44 1000 t | 2023 | up 69.2% | volatile |
| 31 | Belgium | 32 1000 t | 2023 | down 51.5% | falling |
| 32 | United Kingdom | 29 1000 t | 2023 | up 93.3% | rising |
| 32 | United Kingdom of Great Britain and Northern Ireland | 29 1000 t | 2023 | up 93.3% | rising |
| 34 | United Arab Emirates | 27 1000 t | 2023 | down 3.6% | falling |
| 35 | Hungary | 20 1000 t | 2023 | — | volatile |
| 35 | Vietnam | 20 1000 t | 2023 | down 82.6% | volatile |
| 35 | Viet Nam | 20 1000 t | 2023 | down 82.6% | volatile |
| 38 | Mexico | 19 1000 t | 2023 | up 375.0% | volatile |
| 39 | Caribbean | 16 1000 t | 2023 | up 1,500.0% | volatile |
| 40 | Costa Rica | 15 1000 t | 2023 | up 87.5% | rising |
| 40 | Dominican Republic | 15 1000 t | 2023 | up 87.5% | rising |
| 42 | Kazakhstan | 13 1000 t | 2023 | up 160.0% | volatile |
| 43 | India | 12 1000 t | 2023 | — | volatile |
| 43 | Romania | 12 1000 t | 2023 | down 7.7% | volatile |
| 45 | Greece | 11 1000 t | 2023 | up 57.1% | volatile |
| 46 | Guatemala | 10 1000 t | 2023 | down 23.1% | rising |
| 46 | Ireland | 10 1000 t | 2023 | up 900.0% | volatile |
| 48 | Belarus | 8 1000 t | 2023 | — | volatile |
| 48 | Morocco | 8 1000 t | 2023 | down 90.7% | volatile |
| 48 | Sweden | 8 1000 t | 2023 | down 61.9% | falling |
| 48 | Uruguay | 8 1000 t | 2023 | — | volatile |
| 52 | Moldova | 7 1000 t | 2023 | up 250.0% | volatile |
| 52 | Uganda | 7 1000 t | 2023 | up 600.0% | volatile |
| 52 | Zambia | 7 1000 t | 2023 | — | volatile |
| 52 | Republic of Moldova | 7 1000 t | 2023 | up 250.0% | volatile |
| 56 | Austria | 6 1000 t | 2023 | up 20.0% | volatile |
| 56 | Nepal | 6 1000 t | 2023 | — | volatile |
| 56 | Slovenia | 6 1000 t | 2023 | up 200.0% | volatile |
| 59 | Algeria | 5 1000 t | 2023 | down 90.0% | volatile |
| 59 | Latvia | 5 1000 t | 2023 | — | volatile |
| 59 | China, Hong Kong SAR | 5 1000 t | 2023 | down 28.6% | rising |
| 62 | Belize | 4 1000 t | 2023 | — | volatile |
| 62 | Lithuania | 4 1000 t | 2023 | up 100.0% | volatile |
| 64 | Bosnia and Herzegovina | 3 1000 t | 2023 | down 25.0% | falling |
| 65 | Australia | 2 1000 t | 2023 | unchanged | volatile |
| 65 | Finland | 2 1000 t | 2023 | — | volatile |
| 65 | Malawi | 2 1000 t | 2023 | — | volatile |
| 65 | Australia and New Zealand | 2 1000 t | 2023 | unchanged | volatile |
| 69 | Bangladesh | 1 1000 t | 2023 | — | volatile |
| 69 | Barbados | 1 1000 t | 2023 | unchanged | rising |
| 69 | Czechia | 1 1000 t | 2023 | — | volatile |
| 69 | Denmark | 1 1000 t | 2023 | down 50.0% | volatile |
| 69 | Croatia | 1 1000 t | 2023 | unchanged | volatile |
| 69 | Kenya | 1 1000 t | 2023 | unchanged | volatile |
| 69 | Madagascar | 1 1000 t | 2023 | — | volatile |
| 69 | Mozambique | 1 1000 t | 2023 | unchanged | volatile |
| 69 | Mauritius | 1 1000 t | 2023 | unchanged | volatile |
| 69 | Republic of Korea | 1 1000 t | 2023 | down 90.9% | volatile |
| 69 | United Republic of Tanzania | 1 1000 t | 2023 | — | volatile |
| 80 | Angola | 0 1000 t | 2023 | — | volatile |
| 80 | Bulgaria | 0 1000 t | 2023 | down 100.0% | volatile |
| 80 | Chile | 0 1000 t | 2023 | — | volatile |
| 80 | Ecuador | 0 1000 t | 2023 | — | volatile |
| 80 | Estonia | 0 1000 t | 2023 | down 100.0% | volatile |
| 80 | Georgia | 0 1000 t | 2020 | — | volatile |
| 80 | Kuwait | 0 1000 t | 2023 | down 100.0% | volatile |
| 80 | Lebanon | 0 1000 t | 2023 | — | volatile |
| 80 | Luxembourg | 0 1000 t | 2023 | — | volatile |
| 80 | Nicaragua | 0 1000 t | 2023 | — | volatile |
| 80 | Pakistan | 0 1000 t | 2023 | — | volatile |
| 80 | Panama | 0 1000 t | 2023 | — | volatile |
| 80 | Peru | 0 1000 t | 2023 | — | volatile |
| 80 | Philippines | 0 1000 t | 2019 | — | volatile |
| 80 | Senegal | 0 1000 t | 2023 | down 100.0% | volatile |
| 80 | El Salvador | 0 1000 t | 2023 | — | volatile |
| 80 | Suriname | 0 1000 t | 2022 | down 100.0% | volatile |
| 80 | Syria | 0 1000 t | 2022 | down 100.0% | volatile |
| 80 | Tunisia | 0 1000 t | 2023 | down 100.0% | volatile |
| 80 | Zimbabwe | 0 1000 t | 2023 | — | volatile |
| 80 | Iran (Islamic Republic of) | 0 1000 t | 2023 | down 100.0% | volatile |
| 80 | Syrian Arab Republic | 0 1000 t | 2022 | 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 11,399 1000 t
- Americas 7,537 1000 t
- South America 7,181 1000 t
- Europe 2,546 1000 t
- European Union (27) 1,634 1000 t
- Land Locked Developing Countries (LLDCs) 1,144 1000 t
- Asia 1,094 1000 t
- Eastern Europe 911 1000 t
- Southern Europe 792 1000 t
- Western Europe 713 1000 t
- Western Asia 501 1000 t
- South-Eastern Asia 386 1000 t
- Northern America 291 1000 t
- Africa 220 1000 t
- Eastern Asia 176 1000 t
- Net Food Importing Developing Countries (NFIDCs) 156 1000 t
- United States of America 151 1000 t
- Northern Europe 131 1000 t
- Northern Africa 89 1000 t
- Southern Africa 81 1000 t
- Least Developed Countries (LDCs) 55 1000 t
- Central America 49 1000 t
- Low Income Food Deficit Countries (LIFDCs) 48 1000 t
- Western Africa 31 1000 t
- Small island developing States (SIDS) 20 1000 t
- Eastern Africa 19 1000 t
- Southern Asia 18 1000 t
- Central Asia 13 1000 t
- Oceania 2 1000 t
- Middle Africa 0 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.