Soyabeans — Fat supply quantity (t) 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 — Fat supply quantity (t) is currently reported for 193 countries. The highest value is 1.38 million t in China; the lowest is 0 t in Netherlands (Kingdom of the).
The median across all reporting countries is 4.07 t, and the mean is 19,848 t.
Over the past decade 118 countries rose and 56 fell. The largest increase was in Turkmenistan (up 11,865,200.0%), and the largest decrease in Gambia (down 100.0%).
Soyabeans — Fat supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 1.38 million t | 2023 | up 74.3% | rising |
| 2 | China, mainland | 1.34 million t | 2023 | up 78.6% | rising |
| 3 | Indonesia | 512,332 t | 2023 | up 9.3% | rising |
| 4 | Vietnam | 102,572 t | 2023 | up 65.1% | rising |
| 4 | Viet Nam | 102,572 t | 2023 | up 65.1% | rising |
| 6 | Nigeria | 59,095 t | 2023 | up 118.5% | rising |
| 7 | India | 51,970 t | 2023 | up 53.1% | rising |
| 8 | Republic of Korea | 43,601 t | 2023 | down 24.2% | falling |
| 9 | China, Taiwan Province of | 39,595 t | 2023 | up 1.1% | rising |
| 10 | Thailand | 24,913 t | 2023 | up 12.8% | rising |
| 11 | Bangladesh | 24,565 t | 2023 | up 48.7% | rising |
| 12 | Zambia | 17,064 t | 2023 | up 30.4% | rising |
| 13 | Burkina Faso | 14,468 t | 2023 | up 346.1% | volatile |
| 14 | Germany | 13,862 t | 2023 | up 0.5% | rising |
| 15 | Democratic People's Republic of Korea | 12,806 t | 2018 | down 35.0% | falling |
| 16 | Austria | 6,896 t | 2023 | up 97.1% | rising |
| 17 | Rwanda | 6,038 t | 2023 | up 48.3% | rising |
| 18 | Peru | 5,966 t | 2023 | up 31.6% | rising |
| 19 | Afghanistan | 5,876 t | 2023 | up 570,349.0% | volatile |
| 20 | Canada | 5,667 t | 2023 | up 9.4% | rising |
| 21 | Myanmar | 5,614 t | 2023 | up 29.3% | rising |
| 22 | Democratic Republic of the Congo | 4,651 t | 2023 | up 27.1% | rising |
| 23 | Malawi | 4,583 t | 2023 | down 31.7% | falling |
| 24 | South Africa | 4,236 t | 2023 | up 4,707,000.0% | volatile |
| 25 | Colombia | 3,761 t | 2023 | up 13.6% | falling |
| 26 | Angola | 3,609 t | 2023 | up 203.5% | volatile |
| 27 | Tunisia | 3,125 t | 2023 | down 14.7% | falling |
| 28 | China, Hong Kong SAR | 2,798 t | 2023 | down 13.6% | falling |
| 29 | Panama | 1,781 t | 2023 | up 135.3% | rising |
| 30 | Jordan | 1,733 t | 2023 | up 14,386.2% | volatile |
| 31 | Kenya | 1,677 t | 2023 | down 4.1% | falling |
| 32 | Ethiopia | 1,544 t | 2023 | down 84.9% | volatile |
| 33 | Cuba | 1,379 t | 2019 | up 40.0% | volatile |
| 34 | Bolivia (Plurinational State of) | 1,366 t | 2023 | up 325,183.0% | volatile |
| 35 | Turkmenistan | 1,187 t | 2023 | up 11,865,200.0% | volatile |
| 36 | El Salvador | 955.63 t | 2023 | down 2.5% | flat |
| 37 | Czechia | 860.57 t | 2023 | down 49.7% | flat |
| 38 | Botswana | 826.57 t | 2023 | up 111.9% | rising |
| 39 | Belize | 788.04 t | 2023 | up 374.2% | volatile |
| 40 | Laos | 762.64 t | 2023 | down 27.5% | falling |
| 40 | Lao People's Democratic Republic | 762.64 t | 2023 | down 27.5% | falling |
| 42 | Mozambique | 696.57 t | 2023 | up 696,470.0% | volatile |
| 43 | Zimbabwe | 591.81 t | 2023 | down 5.6% | flat |
| 44 | Bosnia and Herzegovina | 590.54 t | 2023 | down 22.8% | falling |
| 45 | Poland | 565.52 t | 2023 | up 43.3% | rising |
| 46 | East Timor | 532.87 t | 2023 | up 207.7% | rising |
| 46 | Timor-Leste | 532.87 t | 2023 | up 207.7% | rising |
| 48 | Liberia | 527.94 t | 2023 | up 9.1% | rising |
| 49 | Caribbean | 497.42 t | 2023 | down 92.9% | volatile |
| 50 | Australia and New Zealand | 463.43 t | 2023 | up 62.7% | rising |
| 51 | New Zealand | 442.41 t | 2023 | up 63.0% | rising |
| 52 | Saudi Arabia | 400.44 t | 2023 | down 38.9% | falling |
| 53 | Malaysia | 326.69 t | 2023 | down 5.8% | falling |
| 54 | Switzerland | 314.72 t | 2023 | down 49.0% | rising |
| 55 | Melanesia | 290.17 t | 2023 | up 4,649.1% | volatile |
| 56 | Costa Rica | 285.87 t | 2023 | down 79.9% | volatile |
| 57 | Cote d'Ivoire | 257.96 t | 2023 | up 574.8% | volatile |
| 57 | Côte d'Ivoire | 257.96 t | 2023 | up 574.8% | volatile |
| 59 | Guatemala | 206.52 t | 2023 | up 64,437.5% | volatile |
| 60 | Slovenia | 197.78 t | 2023 | down 34.3% | rising |
| 61 | Senegal | 191.81 t | 2023 | up 1,827.7% | volatile |
| 62 | Israel | 179.6 t | 2023 | up 52.7% | rising |
| 63 | Papua New Guinea | 174.31 t | 2023 | up 20,651.2% | volatile |
| 64 | Syria | 107.93 t | 2023 | down 98.1% | volatile |
| 64 | Syrian Arab Republic | 107.93 t | 2023 | down 98.1% | volatile |
| 66 | New Caledonia | 104.89 t | 2023 | up 5,144.5% | volatile |
| 67 | China, Macao SAR | 89.77 t | 2023 | down 21.1% | flat |
| 68 | Mauritius | 86.99 t | 2023 | up 155.2% | rising |
| 69 | Philippines | 52.6 t | 2023 | up 255.4% | volatile |
| 70 | Guyana | 42.52 t | 2023 | down 74.6% | volatile |
| 71 | Belarus | 29.78 t | 2023 | down 97.0% | falling |
| 72 | Congo | 29.61 t | 2023 | up 5,187.5% | volatile |
| 73 | United States | 28.23 t | 2023 | down 24.0% | falling |
| 74 | Saint Kitts and Nevis | 24.04 t | 2023 | up 240,300.0% | volatile |
| 75 | Bulgaria | 22.73 t | 2023 | up 0.3% | volatile |
| 76 | United Kingdom | 21.99 t | 2023 | up 140.9% | rising |
| 76 | United Kingdom of Great Britain and Northern Ireland | 21.99 t | 2023 | up 140.9% | rising |
| 78 | Australia | 21.02 t | 2023 | up 56.5% | rising |
| 79 | Suriname | 20.44 t | 2023 | down 40.3% | falling |
| 80 | France | 19.6 t | 2023 | up 86.0% | rising |
| 81 | North Macedonia | 18.8 t | 2023 | down 90.0% | volatile |
| 82 | Ghana | 16.69 t | 2023 | down 23.8% | falling |
| 83 | Pakistan | 16 t | 2023 | up 42.6% | rising |
| 84 | Saint Lucia | 14.74 t | 2023 | up 889.3% | volatile |
| 85 | Lesotho | 13.7 t | 2023 | up 2.8% | volatile |
| 86 | Bhutan | 11.19 t | 2023 | — | falling |
| 87 | Mexico | 10.59 t | 2023 | up 67.6% | rising |
| 88 | Russia | 10 t | 2023 | down 53.4% | falling |
| 88 | Russian Federation | 10 t | 2023 | down 53.4% | falling |
| 90 | Spain | 9.41 t | 2023 | up 300.4% | volatile |
| 91 | Fiji | 9.3 t | 2023 | up 578.8% | volatile |
| 92 | Italy | 9.17 t | 2023 | up 272.8% | volatile |
| 93 | Saint Vincent and the Grenadines | 7.1 t | 2023 | — | volatile |
| 94 | Chile | 5.86 t | 2023 | up 100.7% | rising |
| 95 | Mongolia | 5.18 t | 2023 | up 2,490.0% | volatile |
| 96 | Sweden | 4.72 t | 2023 | up 30.4% | rising |
| 97 | Polynesia | 4.07 t | 2023 | up 169.5% | volatile |
| 98 | United Arab Emirates | 3.58 t | 2023 | up 41.5% | rising |
| 99 | French Polynesia | 3.38 t | 2023 | up 186.4% | volatile |
| 100 | Libya | 2.93 t | 2023 | down 49.1% | volatile |
| 101 | Ireland | 2.7 t | 2023 | down 21.1% | falling |
| 102 | Kazakhstan | 2.5 t | 2023 | up 64.5% | rising |
| 103 | Cambodia | 2.42 t | 2023 | down 100.0% | volatile |
| 104 | Bahrain | 2.34 t | 2023 | — | volatile |
| 105 | Turkey | 2.18 t | 2023 | up 115.8% | rising |
| 105 | Türkiye | 2.18 t | 2023 | up 115.8% | rising |
| 107 | Yemen | 1.96 t | 2023 | down 98.4% | volatile |
| 108 | Norway | 1.92 t | 2023 | up 27.2% | rising |
| 109 | Denmark | 1.9 t | 2023 | up 131.7% | rising |
| 110 | Micronesia | 1.75 t | 2023 | up 993.8% | volatile |
| 111 | Bahamas | 1.65 t | 2023 | up 400.0% | volatile |
| 112 | Solomon Islands | 1.55 t | 2023 | down 14.4% | volatile |
| 113 | Ukraine | 1.5 t | 2023 | down 23.1% | falling |
| 114 | Portugal | 1.44 t | 2023 | up 620.0% | volatile |
| 115 | Finland | 1.38 t | 2023 | up 26.6% | rising |
| 116 | Morocco | 1.27 t | 2023 | up 535.0% | volatile |
| 117 | Kuwait | 1.09 t | 2023 | up 62.7% | rising |
| 118 | Belgium | 1.04 t | 2023 | down 58.4% | rising |
| 119 | Kyrgyzstan | 0.92 t | 2023 | up 513.3% | volatile |
| 120 | Romania | 0.9 t | 2023 | up 221.4% | volatile |
| 121 | Qatar | 0.87 t | 2023 | — | volatile |
| 122 | Slovakia | 0.82 t | 2023 | up 164.5% | volatile |
| 122 | United Republic of Tanzania | 0.82 t | 2023 | down 99.9% | volatile |
| 124 | Sierra Leone | 0.78 t | 2023 | — | volatile |
| 125 | Namibia | 0.75 t | 2023 | down 96.6% | volatile |
| 126 | Madagascar | 0.71 t | 2023 | down 91.1% | volatile |
| 127 | Micronesia (Federated States of) | 0.67 t | 2023 | — | rising |
| 128 | Lebanon | 0.62 t | 2023 | up 31.9% | rising |
| 129 | Dominican Republic | 0.61 t | 2023 | up 90.6% | rising |
| 130 | Uzbekistan | 0.6 t | 2023 | up 1,100.0% | volatile |
| 131 | Oman | 0.57 t | 2023 | down 74.3% | volatile |
| 132 | Lithuania | 0.54 t | 2023 | up 145.5% | rising |
| 132 | Samoa | 0.54 t | 2023 | up 63.6% | rising |
| 134 | Marshall Islands | 0.52 t | 2023 | — | rising |
| 135 | Greece | 0.46 t | 2023 | down 16.4% | volatile |
| 136 | Hungary | 0.45 t | 2023 | up 60.7% | volatile |
| 137 | Georgia | 0.44 t | 2023 | up 1,366.7% | volatile |
| 137 | Kiribati | 0.44 t | 2023 | up 175.0% | rising |
| 137 | Maldives | 0.44 t | 2023 | up 158.8% | volatile |
| 140 | Latvia | 0.4 t | 2023 | up 66.7% | rising |
| 141 | Iraq | 0.39 t | 2023 | up 875.0% | volatile |
| 142 | Nepal | 0.36 t | 2023 | down 20.0% | rising |
| 143 | Argentina | 0.35 t | 2023 | down 10.3% | rising |
| 143 | Moldova | 0.35 t | 2023 | up 600.0% | volatile |
| 143 | Republic of Moldova | 0.35 t | 2023 | up 600.0% | volatile |
| 146 | Armenia | 0.34 t | 2023 | up 1,600.0% | volatile |
| 146 | Serbia | 0.34 t | 2023 | up 240.0% | volatile |
| 146 | Uganda | 0.34 t | 2023 | down 99.2% | volatile |
| 149 | Honduras | 0.33 t | 2023 | up 32.0% | volatile |
| 150 | Trinidad and Tobago | 0.32 t | 2023 | up 100.0% | rising |
| 151 | Egypt | 0.28 t | 2023 | up 12.0% | volatile |
| 152 | Cyprus | 0.24 t | 2023 | up 166.7% | volatile |
| 152 | Estonia | 0.24 t | 2023 | up 60.0% | rising |
| 152 | Seychelles | 0.24 t | 2023 | down 81.8% | volatile |
| 155 | Venezuela (Bolivarian Republic of) | 0.23 t | 2023 | up 21.1% | volatile |
| 156 | Antigua and Barbuda | 0.21 t | 2023 | up 600.0% | volatile |
| 156 | Azerbaijan | 0.21 t | 2023 | up 2,000.0% | volatile |
| 158 | Niger | 0.2 t | 2023 | — | volatile |
| 158 | Uruguay | 0.2 t | 2023 | up 25.0% | rising |
| 160 | Nicaragua | 0.19 t | 2023 | up 90.0% | rising |
| 161 | Croatia | 0.18 t | 2023 | up 200.0% | volatile |
| 161 | Iceland | 0.18 t | 2023 | up 80.0% | rising |
| 163 | Eswatini | 0.17 t | 2023 | down 99.7% | volatile |
| 164 | Malta | 0.15 t | 2023 | up 200.0% | rising |
| 165 | Paraguay | 0.14 t | 2023 | up 180.0% | rising |
| 165 | Tonga | 0.14 t | 2023 | — | rising |
| 165 | Cabo Verde | 0.14 t | 2023 | up 1,300.0% | volatile |
| 168 | Luxembourg | 0.13 t | 2023 | up 85.7% | rising |
| 169 | Vanuatu | 0.11 t | 2023 | up 10.0% | flat |
| 170 | Ecuador | 0.09 t | 2023 | up 125.0% | volatile |
| 170 | Grenada | 0.09 t | 2023 | — | volatile |
| 170 | Sri Lanka | 0.09 t | 2023 | up 50.0% | rising |
| 173 | Albania | 0.07 t | 2023 | up 250.0% | volatile |
| 173 | Barbados | 0.07 t | 2023 | down 22.2% | falling |
| 173 | Tajikistan | 0.07 t | 2023 | — | volatile |
| 176 | Haiti | 0.05 t | 2023 | — | volatile |
| 176 | Jamaica | 0.05 t | 2023 | up 66.7% | volatile |
| 178 | Montenegro | 0.04 t | 2023 | up 300.0% | volatile |
| 178 | Iran (Islamic Republic of) | 0.04 t | 2023 | — | volatile |
| 180 | Guinea | 0.03 t | 2023 | — | volatile |
| 180 | Nauru | 0.03 t | 2023 | — | falling |
| 180 | Sao Tome and Principe | 0.03 t | 2023 | down 81.2% | volatile |
| 180 | Nauru | 0.03 t | 2023 | — | falling |
| 184 | Algeria | 0.02 t | 2023 | down 75.0% | volatile |
| 184 | Gabon | 0.02 t | 2023 | — | volatile |
| 184 | Guinea-Bissau | 0.02 t | 2023 | down 50.0% | volatile |
| 187 | Cameroon | 0.01 t | 2023 | down 100.0% | volatile |
| 187 | Djibouti | 0.01 t | 2023 | down 90.9% | volatile |
| 187 | Tuvalu | 0.01 t | 2023 | — | flat |
| 190 | Comoros | 0 t | 2023 | — | volatile |
| 190 | Gambia | 0 t | 2023 | down 100.0% | volatile |
| 190 | Mauritania | 0 t | 2023 | down 100.0% | volatile |
| 190 | Netherlands (Kingdom of the) | 0 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 2.57 million t
- Asia 2.37 million t
- Eastern Asia 1.64 million t
- South-Eastern Asia 647,109 t
- Africa 155,538 t
- Net Food Importing Developing Countries (NFIDCs) 138,107 t
- Least Developed Countries (LDCs) 122,946 t
- Western Africa 106,366 t
- Low Income Food Deficit Countries (LIFDCs) 83,054 t
- Southern Asia 82,438 t
- Land Locked Developing Countries (LLDCs) 56,565 t
- Eastern Africa 32,676 t
- Europe 23,451 t
- European Union (27) 22,461 t
- Americas 21,384 t
- Western Europe 21,094 t
- South America 11,163 t
- Middle Africa 8,290 t
- Northern America 5,695 t
- Southern Africa 5,078 t
- Central America 4,028 t
- Northern Africa 3,129 t
- Western Asia 2,435 t
- Small island developing States (SIDS) 2,265 t
- Eastern Europe 1,493 t
- Central Asia 1,191 t
- Southern Europe 828.4 t
- Oceania 759.42 t
- Northern Europe 35.97 t
- United States of America 28.23 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.