Soyabeans — Import 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...
Countries reporting
155
Highest
105,959 1000 t
China
Lowest
0 1000 t
Syrian Arab Republic
Median
13 1000 t
Years covered
14
2010–2023
Data points
2,992
What the numbers show
Soyabeans — Import quantity is currently reported for 155 countries. The highest value is 105,959 1000 t in China; the lowest is 0 1000 t in Syrian Arab Republic.
The median across all reporting countries is 13 1000 t, and the mean is 1,817 1000 t.
Over the past decade 66 countries rose and 44 fell. The largest increase was in Argentina (up 207,260.0%), and the largest decrease in Estonia (down 100.0%).
Soyabeans — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 105,959 1000 t | 2023 | up 61.6% | rising |
| 2 | China, mainland | 103,387 1000 t | 2023 | up 63.1% | rising |
| 3 | Argentina | 10,368 1000 t | 2023 | up 207,260.0% | volatile |
| 4 | Mexico | 6,356 1000 t | 2023 | up 75.9% | rising |
| 5 | Netherlands (Kingdom of the) | 3,635 1000 t | 2023 | up 8.6% | rising |
| 6 | Spain | 3,330 1000 t | 2023 | down 1.9% | flat |
| 7 | Thailand | 3,290 1000 t | 2023 | up 95.6% | rising |
| 8 | Germany | 3,200 1000 t | 2023 | down 11.6% | flat |
| 9 | Turkey | 2,903 1000 t | 2023 | up 170.3% | rising |
| 9 | Türkiye | 2,903 1000 t | 2023 | up 170.3% | rising |
| 11 | Iran (Islamic Republic of) | 2,700 1000 t | 2023 | up 1,068.8% | volatile |
| 12 | China, Taiwan Province of | 2,544 1000 t | 2023 | up 18.8% | rising |
| 13 | Egypt | 2,412 1000 t | 2023 | up 53.4% | rising |
| 14 | Italy | 2,323 1000 t | 2023 | up 66.4% | rising |
| 15 | Indonesia | 2,280 1000 t | 2023 | up 27.4% | rising |
| 16 | Vietnam | 1,835 1000 t | 2023 | up 40.2% | rising |
| 16 | Viet Nam | 1,835 1000 t | 2023 | up 40.2% | rising |
| 18 | Bangladesh | 1,773 1000 t | 2023 | up 300.2% | volatile |
| 19 | Algeria | 1,481 1000 t | 2023 | — | volatile |
| 20 | Russia | 1,388 1000 t | 2023 | up 20.5% | rising |
| 20 | Russian Federation | 1,388 1000 t | 2023 | up 20.5% | rising |
| 22 | Republic of Korea | 1,204 1000 t | 2023 | up 7.7% | rising |
| 23 | Portugal | 923 1000 t | 2023 | up 18.0% | rising |
| 24 | United Kingdom | 916 1000 t | 2023 | up 38.0% | flat |
| 24 | United Kingdom of Great Britain and Northern Ireland | 916 1000 t | 2023 | up 38.0% | flat |
| 26 | India | 731 1000 t | 2023 | up 73,000.0% | volatile |
| 27 | Iraq | 718 1000 t | 2023 | — | volatile |
| 28 | United States | 685 1000 t | 2023 | down 45.8% | volatile |
| 29 | Malaysia | 645 1000 t | 2023 | up 15.6% | rising |
| 30 | Pakistan | 611 1000 t | 2023 | — | volatile |
| 31 | Tunisia | 565 1000 t | 2023 | up 21.0% | rising |
| 32 | Saudi Arabia | 550 1000 t | 2023 | down 1.6% | rising |
| 33 | Colombia | 485 1000 t | 2023 | up 34.3% | rising |
| 34 | France | 466 1000 t | 2023 | down 12.2% | falling |
| 35 | Canada | 447 1000 t | 2023 | up 87.0% | rising |
| 36 | Norway | 363 1000 t | 2023 | down 13.4% | falling |
| 37 | Belgium | 360 1000 t | 2023 | up 36.9% | rising |
| 38 | Costa Rica | 272 1000 t | 2023 | up 16.2% | rising |
| 39 | Venezuela (Bolivarian Republic of) | 264 1000 t | 2023 | up 6.5% | volatile |
| 40 | Israel | 253 1000 t | 2023 | down 24.0% | falling |
| 41 | Peru | 229 1000 t | 2023 | up 40.5% | rising |
| 42 | Greece | 205 1000 t | 2023 | down 28.1% | falling |
| 43 | Brazil | 181 1000 t | 2023 | down 36.0% | volatile |
| 44 | Romania | 175 1000 t | 2023 | up 49.6% | volatile |
| 45 | Hungary | 170 1000 t | 2023 | up 115.2% | rising |
| 46 | Poland | 161 1000 t | 2023 | up 182.5% | volatile |
| 47 | Austria | 152 1000 t | 2023 | up 50.5% | rising |
| 48 | Philippines | 151 1000 t | 2023 | up 420.7% | rising |
| 49 | Serbia | 108 1000 t | 2023 | up 575.0% | volatile |
| 50 | Cuba | 101 1000 t | 2019 | down 1.9% | falling |
| 51 | Nepal | 98 1000 t | 2023 | up 122.7% | rising |
| 52 | Slovenia | 86 1000 t | 2023 | up 95.5% | volatile |
| 53 | Caribbean | 77 1000 t | 2023 | down 52.8% | falling |
| 54 | Chile | 65 1000 t | 2023 | up 109.7% | rising |
| 55 | Afghanistan | 60 1000 t | 2023 | — | volatile |
| 56 | Kazakhstan | 59 1000 t | 2023 | up 883.3% | volatile |
| 57 | Lebanon | 47 1000 t | 2023 | — | volatile |
| 58 | Denmark | 45 1000 t | 2023 | up 221.4% | volatile |
| 59 | Moldova | 42 1000 t | 2023 | — | volatile |
| 59 | Republic of Moldova | 42 1000 t | 2023 | — | volatile |
| 61 | Slovakia | 41 1000 t | 2023 | up 127.8% | volatile |
| 62 | Morocco | 37 1000 t | 2023 | down 41.3% | volatile |
| 63 | Czechia | 35 1000 t | 2023 | down 7.9% | falling |
| 63 | Panama | 35 1000 t | 2023 | up 150.0% | rising |
| 63 | Uruguay | 35 1000 t | 2023 | up 118.8% | volatile |
| 63 | United Republic of Tanzania | 35 1000 t | 2023 | up 3,400.0% | volatile |
| 67 | Dominican Republic | 33 1000 t | 2023 | — | volatile |
| 68 | Ireland | 29 1000 t | 2023 | up 52.6% | rising |
| 69 | Uzbekistan | 27 1000 t | 2023 | up 200.0% | volatile |
| 69 | China, Hong Kong SAR | 27 1000 t | 2023 | down 34.1% | falling |
| 71 | Barbados | 25 1000 t | 2023 | up 19.0% | flat |
| 71 | Zimbabwe | 25 1000 t | 2023 | up 400.0% | volatile |
| 73 | Belarus | 24 1000 t | 2023 | up 700.0% | volatile |
| 74 | Finland | 21 1000 t | 2023 | down 50.0% | volatile |
| 74 | Croatia | 21 1000 t | 2023 | up 162.5% | volatile |
| 76 | Sweden | 16 1000 t | 2023 | down 30.4% | flat |
| 77 | Myanmar | 14 1000 t | 2023 | up 100.0% | volatile |
| 78 | Azerbaijan | 13 1000 t | 2023 | up 8.3% | volatile |
| 79 | Switzerland | 12 1000 t | 2023 | down 29.4% | falling |
| 80 | Australia and New Zealand | 11 1000 t | 2023 | up 37.5% | rising |
| 81 | Cambodia | 10 1000 t | 2023 | — | volatile |
| 81 | Paraguay | 10 1000 t | 2023 | down 63.0% | volatile |
| 83 | Bosnia and Herzegovina | 9 1000 t | 2023 | down 55.0% | volatile |
| 83 | Jordan | 9 1000 t | 2023 | — | volatile |
| 85 | Australia | 8 1000 t | 2023 | up 33.3% | rising |
| 85 | Trinidad and Tobago | 8 1000 t | 2023 | down 11.1% | volatile |
| 87 | Turkmenistan | 7 1000 t | 2023 | up 250.0% | volatile |
| 88 | Cote d'Ivoire | 6 1000 t | 2023 | — | volatile |
| 88 | Côte d'Ivoire | 6 1000 t | 2023 | — | volatile |
| 90 | United Arab Emirates | 5 1000 t | 2023 | down 97.1% | volatile |
| 90 | Sri Lanka | 5 1000 t | 2023 | up 400.0% | volatile |
| 90 | Mozambique | 5 1000 t | 2023 | up 400.0% | volatile |
| 90 | South Africa | 5 1000 t | 2023 | unchanged | volatile |
| 90 | Bolivia (Plurinational State of) | 5 1000 t | 2023 | down 50.0% | falling |
| 95 | Botswana | 4 1000 t | 2023 | up 100.0% | volatile |
| 95 | New Zealand | 4 1000 t | 2023 | up 100.0% | rising |
| 95 | Rwanda | 4 1000 t | 2023 | — | volatile |
| 98 | Kyrgyzstan | 3 1000 t | 2023 | down 25.0% | volatile |
| 98 | Nigeria | 3 1000 t | 2023 | down 76.9% | volatile |
| 98 | East Timor | 3 1000 t | 2023 | up 200.0% | volatile |
| 98 | Timor-Leste | 3 1000 t | 2023 | up 200.0% | volatile |
| 98 | Melanesia | 3 1000 t | 2023 | up 200.0% | volatile |
| 98 | Democratic People's Republic of Korea | 3 1000 t | 2018 | down 88.5% | volatile |
| 104 | Ghana | 2 1000 t | 2023 | — | volatile |
| 104 | Kenya | 2 1000 t | 2023 | down 66.7% | volatile |
| 104 | Laos | 2 1000 t | 2023 | up 100.0% | volatile |
| 104 | Mauritania | 2 1000 t | 2023 | — | volatile |
| 104 | Senegal | 2 1000 t | 2023 | — | volatile |
| 104 | Ukraine | 2 1000 t | 2023 | down 33.3% | volatile |
| 104 | Lao People's Democratic Republic | 2 1000 t | 2023 | up 100.0% | volatile |
| 111 | Angola | 1 1000 t | 2023 | unchanged | volatile |
| 111 | Armenia | 1 1000 t | 2023 | — | volatile |
| 111 | Bulgaria | 1 1000 t | 2023 | down 80.0% | volatile |
| 111 | Gabon | 1 1000 t | 2023 | down 50.0% | falling |
| 111 | Guatemala | 1 1000 t | 2023 | down 90.9% | volatile |
| 111 | Honduras | 1 1000 t | 2023 | down 66.7% | volatile |
| 111 | Lithuania | 1 1000 t | 2023 | down 90.0% | volatile |
| 111 | Montenegro | 1 1000 t | 2023 | — | volatile |
| 111 | Mauritius | 1 1000 t | 2023 | — | volatile |
| 111 | New Caledonia | 1 1000 t | 2023 | — | volatile |
| 111 | Papua New Guinea | 1 1000 t | 2023 | — | volatile |
| 111 | Saint Vincent and the Grenadines | 1 1000 t | 2023 | — | volatile |
| 111 | Samoa | 1 1000 t | 2023 | — | volatile |
| 111 | Micronesia | 1 1000 t | 2023 | — | volatile |
| 111 | Polynesia | 1 1000 t | 2023 | unchanged | volatile |
| 111 | China, Macao SAR | 1 1000 t | 2023 | unchanged | rising |
| 127 | Burkina Faso | 0 1000 t | 2023 | — | volatile |
| 127 | Bahrain | 0 1000 t | 2023 | — | volatile |
| 127 | Estonia | 0 1000 t | 2023 | down 100.0% | volatile |
| 127 | Ethiopia | 0 1000 t | 2023 | — | volatile |
| 127 | Fiji | 0 1000 t | 2023 | — | volatile |
| 127 | Georgia | 0 1000 t | 2023 | down 100.0% | volatile |
| 127 | Guyana | 0 1000 t | 2023 | down 100.0% | volatile |
| 127 | Iceland | 0 1000 t | 2023 | — | volatile |
| 127 | Jamaica | 0 1000 t | 2023 | — | volatile |
| 127 | Kiribati | 0 1000 t | 2023 | — | volatile |
| 127 | Kuwait | 0 1000 t | 2023 | — | volatile |
| 127 | Libya | 0 1000 t | 2023 | — | volatile |
| 127 | Luxembourg | 0 1000 t | 2023 | — | volatile |
| 127 | Latvia | 0 1000 t | 2023 | down 100.0% | volatile |
| 127 | North Macedonia | 0 1000 t | 2023 | down 100.0% | volatile |
| 127 | Malta | 0 1000 t | 2023 | — | volatile |
| 127 | Mongolia | 0 1000 t | 2023 | — | volatile |
| 127 | Malawi | 0 1000 t | 2023 | down 100.0% | volatile |
| 127 | Nicaragua | 0 1000 t | 2023 | — | volatile |
| 127 | Oman | 0 1000 t | 2023 | — | volatile |
| 127 | Eswatini | 0 1000 t | 2023 | down 100.0% | volatile |
| 127 | Seychelles | 0 1000 t | 2023 | — | volatile |
| 127 | Syria | 0 1000 t | 2023 | down 100.0% | volatile |
| 127 | Tajikistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 127 | Uganda | 0 1000 t | 2023 | — | volatile |
| 127 | Yemen | 0 1000 t | 2023 | down 100.0% | volatile |
| 127 | Zambia | 0 1000 t | 2023 | down 100.0% | volatile |
| 127 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | volatile |
| 127 | Syrian Arab Republic | 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 171,654 1000 t
- Asia 129,123 1000 t
- Eastern Asia 110,319 1000 t
- Americas 19,516 1000 t
- Europe 18,263 1000 t
- European Union (27) 15,397 1000 t
- South America 11,641 1000 t
- South-Eastern Asia 8,229 1000 t
- Western Europe 7,825 1000 t
- Southern Europe 7,005 1000 t
- Central America 6,665 1000 t
- Net Food Importing Developing Countries (NFIDCs) 6,378 1000 t
- Southern Asia 5,979 1000 t
- Africa 4,737 1000 t
- Western Asia 4,499 1000 t
- Northern Africa 4,495 1000 t
- Least Developed Countries (LDCs) 2,155 1000 t
- Eastern Europe 2,041 1000 t
- Northern Europe 1,392 1000 t
- Northern America 1,133 1000 t
- United States of America 685 1000 t
- Low Income Food Deficit Countries (LIFDCs) 408 1000 t
- Land Locked Developing Countries (LLDCs) 362 1000 t
- Western Africa 159 1000 t
- Central Asia 97 1000 t
- Small island developing States (SIDS) 86 1000 t
- Eastern Africa 71 1000 t
- Oceania 15 1000 t
- Southern Africa 9 1000 t
- Middle Africa 2 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.