Soyabean Oil — Protein 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
Soyabean Oil — Protein supply quantity (t) is currently reported for 131 countries. The highest value is 8,245 t in United States; the lowest is 0 t in China, Macao SAR.
The median across all reporting countries is 0.96 t, and the mean is 106.85 t.
Over the past decade 43 countries rose and 44 fell. The largest increase was in Yemen (up 2,500.0%), and the largest decrease in Argentina (down 100.0%).
Soyabean Oil — Protein supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | United States | 8,245 t | 2023 | up 20.9% | rising |
| 2 | China | 1,667 t | 2023 | up 359.1% | volatile |
| 2 | China, mainland | 1,667 t | 2023 | up 361.6% | volatile |
| 4 | Mexico | 694.02 t | 2023 | up 540.9% | volatile |
| 5 | Algeria | 225.11 t | 2023 | — | volatile |
| 6 | United Kingdom | 155.4 t | 2023 | down 44.2% | volatile |
| 6 | United Kingdom of Great Britain and Northern Ireland | 155.4 t | 2023 | down 44.2% | volatile |
| 8 | Chile | 119.11 t | 2023 | up 110.2% | volatile |
| 9 | Brazil | 114.17 t | 2023 | — | volatile |
| 10 | India | 113.01 t | 2023 | down 68.8% | falling |
| 11 | Morocco | 82.81 t | 2023 | — | volatile |
| 12 | El Salvador | 69.81 t | 2023 | up 589.1% | volatile |
| 13 | Republic of Korea | 44.87 t | 2023 | up 72.9% | rising |
| 14 | Romania | 39.02 t | 2023 | up 184.4% | rising |
| 15 | Belarus | 38.51 t | 2023 | up 178.5% | volatile |
| 16 | Bulgaria | 33.66 t | 2023 | up 199.7% | volatile |
| 17 | Sweden | 33.46 t | 2023 | up 7.5% | flat |
| 18 | Panama | 29.92 t | 2023 | up 63.6% | volatile |
| 19 | Caribbean | 27.73 t | 2023 | up 19.8% | rising |
| 20 | Australia and New Zealand | 26.83 t | 2023 | up 57.4% | rising |
| 21 | Denmark | 25.7 t | 2023 | down 10.7% | rising |
| 22 | Bolivia (Plurinational State of) | 25.02 t | 2023 | up 234.0% | rising |
| 23 | Portugal | 24.33 t | 2023 | — | volatile |
| 24 | Australia | 23.2 t | 2023 | up 44.5% | rising |
| 25 | Peru | 23.09 t | 2023 | down 4.6% | flat |
| 26 | Kazakhstan | 20.13 t | 2023 | up 149.8% | rising |
| 27 | Pakistan | 19.77 t | 2023 | down 16.8% | volatile |
| 28 | Czechia | 19.12 t | 2023 | — | volatile |
| 29 | Turkey | 17.73 t | 2023 | down 93.0% | volatile |
| 29 | Türkiye | 17.73 t | 2023 | down 93.0% | volatile |
| 31 | Poland | 13.51 t | 2023 | down 80.4% | falling |
| 32 | Israel | 13.26 t | 2023 | up 81.4% | rising |
| 33 | Libya | 12.77 t | 2023 | up 231.7% | volatile |
| 34 | Slovenia | 12.47 t | 2023 | down 12.0% | falling |
| 35 | Belize | 11.88 t | 2023 | up 114.8% | rising |
| 36 | Dominican Republic | 11.51 t | 2023 | up 120.9% | rising |
| 37 | Armenia | 10.95 t | 2023 | up 256.7% | rising |
| 38 | Iran (Islamic Republic of) | 9.66 t | 2023 | down 53.4% | falling |
| 39 | Norway | 8.09 t | 2023 | down 80.3% | volatile |
| 40 | Jamaica | 6.8 t | 2023 | down 31.2% | rising |
| 41 | Zambia | 6.01 t | 2023 | up 51.8% | rising |
| 42 | Bahamas | 5.74 t | 2023 | up 189.9% | rising |
| 43 | Croatia | 5.51 t | 2023 | down 33.5% | rising |
| 44 | Lebanon | 5.48 t | 2023 | up 178.2% | volatile |
| 45 | Spain | 5.2 t | 2023 | — | volatile |
| 46 | Paraguay | 4.42 t | 2023 | up 414.0% | volatile |
| 47 | Albania | 3.96 t | 2023 | — | volatile |
| 48 | Myanmar | 3.95 t | 2023 | — | volatile |
| 49 | Mauritius | 3.92 t | 2023 | — | volatile |
| 50 | Cabo Verde | 3.79 t | 2023 | up 28.9% | rising |
| 51 | New Zealand | 3.63 t | 2023 | up 266.7% | volatile |
| 52 | Melanesia | 2.97 t | 2023 | down 1.3% | rising |
| 53 | Cyprus | 2.73 t | 2023 | — | volatile |
| 54 | Saudi Arabia | 2.65 t | 2023 | up 176.0% | volatile |
| 55 | Fiji | 2.5 t | 2023 | down 8.4% | rising |
| 56 | Cambodia | 2.28 t | 2023 | up 57.2% | rising |
| 57 | Malta | 2.18 t | 2023 | down 50.3% | falling |
| 58 | Nicaragua | 1.88 t | 2023 | down 2.6% | falling |
| 59 | Finland | 1.69 t | 2022 | down 50.1% | volatile |
| 60 | Lesotho | 1.51 t | 2023 | up 504.0% | volatile |
| 61 | Antigua and Barbuda | 1.35 t | 2023 | down 10.0% | falling |
| 62 | Cuba | 1.27 t | 2019 | down 67.1% | falling |
| 63 | Guyana | 1.25 t | 2023 | up 1,150.0% | volatile |
| 64 | Oman | 1.1 t | 2023 | up 900.0% | volatile |
| 65 | Luxembourg | 1 t | 2023 | up 12.4% | flat |
| 66 | Eswatini | 0.96 t | 2023 | — | volatile |
| 67 | Honduras | 0.93 t | 2023 | down 59.2% | volatile |
| 68 | Mongolia | 0.89 t | 2023 | down 58.0% | volatile |
| 69 | Bahrain | 0.88 t | 2023 | — | rising |
| 70 | Qatar | 0.81 t | 2023 | — | rising |
| 71 | Hungary | 0.66 t | 2023 | down 93.0% | volatile |
| 72 | Suriname | 0.6 t | 2023 | up 233.3% | volatile |
| 73 | Mozambique | 0.58 t | 2023 | up 114.8% | rising |
| 74 | Saint Vincent and the Grenadines | 0.55 t | 2023 | — | volatile |
| 75 | Malawi | 0.51 t | 2023 | down 34.6% | falling |
| 76 | Uganda | 0.42 t | 2023 | down 40.8% | volatile |
| 77 | Turkmenistan | 0.35 t | 2023 | — | volatile |
| 78 | Papua New Guinea | 0.33 t | 2023 | up 17.9% | volatile |
| 79 | Laos | 0.32 t | 2023 | — | volatile |
| 79 | Lao People's Democratic Republic | 0.32 t | 2023 | — | volatile |
| 81 | Yemen | 0.26 t | 2023 | up 2,500.0% | volatile |
| 82 | Ethiopia | 0.25 t | 2023 | up 2,400.0% | volatile |
| 83 | Costa Rica | 0.2 t | 2023 | down 89.2% | volatile |
| 84 | Philippines | 0.18 t | 2023 | up 125.0% | volatile |
| 85 | Botswana | 0.16 t | 2023 | up 166.7% | volatile |
| 85 | North Macedonia | 0.16 t | 2023 | up 100.0% | volatile |
| 87 | Grenada | 0.11 t | 2023 | down 63.3% | falling |
| 87 | Solomon Islands | 0.11 t | 2023 | — | volatile |
| 87 | Democratic Republic of the Congo | 0.11 t | 2023 | up 120.0% | volatile |
| 90 | Namibia | 0.1 t | 2023 | — | volatile |
| 91 | Saint Kitts and Nevis | 0.05 t | 2023 | down 50.0% | volatile |
| 92 | New Caledonia | 0.03 t | 2023 | — | volatile |
| 93 | Guinea-Bissau | 0.02 t | 2023 | — | volatile |
| 93 | Nigeria | 0.02 t | 2023 | — | volatile |
| 95 | Gabon | 0.01 t | 2023 | down 50.0% | volatile |
| 95 | Sao Tome and Principe | 0.01 t | 2023 | unchanged | volatile |
| 97 | Afghanistan | 0 t | 2023 | — | volatile |
| 97 | Angola | 0 t | 2023 | — | volatile |
| 97 | Argentina | 0 t | 2023 | down 100.0% | volatile |
| 97 | Austria | 0 t | 2023 | — | volatile |
| 97 | Bangladesh | 0 t | 2023 | — | volatile |
| 97 | Bosnia and Herzegovina | 0 t | 2023 | down 100.0% | volatile |
| 97 | Bhutan | 0 t | 2023 | — | volatile |
| 97 | Canada | 0 t | 2023 | — | volatile |
| 97 | Switzerland | 0 t | 2023 | down 100.0% | volatile |
| 97 | Colombia | 0 t | 2023 | — | volatile |
| 97 | Estonia | 0 t | 2023 | down 100.0% | volatile |
| 97 | Georgia | 0 t | 2023 | down 100.0% | volatile |
| 97 | Ghana | 0 t | 2023 | down 100.0% | volatile |
| 97 | Greece | 0 t | 2023 | — | volatile |
| 97 | Haiti | 0 t | 2023 | — | volatile |
| 97 | Iraq | 0 t | 2023 | — | volatile |
| 97 | Iceland | 0 t | 2023 | down 100.0% | volatile |
| 97 | Kenya | 0 t | 2023 | — | volatile |
| 97 | Kyrgyzstan | 0 t | 2023 | — | volatile |
| 97 | Kuwait | 0 t | 2023 | — | volatile |
| 97 | Latvia | 0 t | 2023 | down 100.0% | volatile |
| 97 | Moldova | 0 t | 2023 | — | volatile |
| 97 | Madagascar | 0 t | 2023 | — | volatile |
| 97 | Montenegro | 0 t | 2023 | — | volatile |
| 97 | Mauritania | 0 t | 2023 | — | volatile |
| 97 | Senegal | 0 t | 2023 | — | volatile |
| 97 | Sierra Leone | 0 t | 2023 | — | volatile |
| 97 | Serbia | 0 t | 2023 | down 100.0% | volatile |
| 97 | Seychelles | 0 t | 2023 | — | volatile |
| 97 | Syria | 0 t | 2023 | down 100.0% | volatile |
| 97 | Samoa | 0 t | 2023 | down 100.0% | volatile |
| 97 | Polynesia | 0 t | 2023 | down 100.0% | volatile |
| 97 | Republic of Moldova | 0 t | 2023 | — | volatile |
| 97 | Syrian Arab Republic | 0 t | 2023 | down 100.0% | volatile |
| 97 | China, Macao SAR | 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 12,100 t
- Americas 9,369 t
- Northern America 8,245 t
- United States of America 8,245 t
- Asia 1,940 t
- Eastern Asia 1,713 t
- Central America 808.65 t
- Europe 421.93 t
- Africa 339.09 t
- Northern Africa 320.69 t
- South America 287.66 t
- Net Food Importing Developing Countries (NFIDCs) 240.8 t
- Northern Europe 222.65 t
- European Union (27) 218.54 t
- Eastern Europe 144.48 t
- Southern Asia 142.44 t
- Land Locked Developing Countries (LLDCs) 72.07 t
- Western Asia 57.14 t
- Southern Europe 53.81 t
- Small island developing States (SIDS) 52.17 t
- Oceania 29.8 t
- Central Asia 20.49 t
- Least Developed Countries (LDCs) 16.36 t
- Eastern Africa 11.7 t
- South-Eastern Asia 6.73 t
- Low Income Food Deficit Countries (LIFDCs) 5.58 t
- Western Africa 3.86 t
- Southern Africa 2.73 t
- Western Europe 1 t
- Middle Africa 0.12 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.