Sunflowerseed 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
Sunflowerseed Oil — Protein supply quantity (t) is currently reported for 178 countries. The highest value is 1,174 t in Türkiye; the lowest is 0 t in China, Macao SAR.
The median across all reporting countries is 0 t, and the mean is 12.15 t.
Over the past decade 12 countries rose and 13 fell. The largest increase was in Yemen (up 2,810.0%), and the largest decrease in Czechia (down 100.0%).
Sunflowerseed Oil — Protein supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Türkiye | 1,174 t | 2023 | up 67.6% | volatile |
| 2 | China | 174.15 t | 2023 | up 511.9% | volatile |
| 2 | China, mainland | 174.15 t | 2023 | up 511.9% | volatile |
| 4 | Hungary | 142.85 t | 2023 | up 37.9% | rising |
| 5 | United Kingdom of Great Britain and Northern Ireland | 119.38 t | 2023 | up 71.4% | volatile |
| 6 | Austria | 97.71 t | 2023 | up 82.5% | volatile |
| 7 | Pakistan | 89.18 t | 2023 | down 14.8% | volatile |
| 8 | Belgium | 38.87 t | 2023 | down 11.3% | rising |
| 9 | India | 34.7 t | 2023 | down 50.7% | falling |
| 10 | Portugal | 28.31 t | 2023 | up 37.6% | rising |
| 11 | Germany | 16.23 t | 2023 | down 16.7% | falling |
| 12 | Slovakia | 14.6 t | 2023 | down 14.1% | rising |
| 13 | Mexico | 12.82 t | 2023 | up 1,195.0% | volatile |
| 14 | Myanmar | 9.97 t | 2023 | — | volatile |
| 15 | Ethiopia | 6.78 t | 2023 | — | volatile |
| 16 | Bulgaria | 5.2 t | 2023 | down 77.4% | falling |
| 17 | Slovenia | 4.95 t | 2023 | down 15.1% | falling |
| 18 | Spain | 4.41 t | 2023 | — | volatile |
| 19 | Denmark | 3.95 t | 2023 | down 64.8% | falling |
| 20 | Uganda | 3.64 t | 2023 | up 75.8% | rising |
| 21 | Yemen | 2.91 t | 2023 | up 2,810.0% | volatile |
| 22 | Zambia | 2.09 t | 2023 | up 480.6% | volatile |
| 23 | Bolivia (Plurinational State of) | 1.29 t | 2023 | down 95.3% | volatile |
| 24 | Malawi | 0.21 t | 2023 | down 43.2% | falling |
| 25 | Mozambique | 0.14 t | 2023 | up 55.6% | volatile |
| 26 | Cambodia | 0.11 t | 2023 | — | volatile |
| 27 | Philippines | 0.02 t | 2023 | — | volatile |
| 28 | Afghanistan | 0 t | 2023 | — | volatile |
| 28 | Angola | 0 t | 2023 | — | flat |
| 28 | Albania | 0 t | 2023 | — | flat |
| 28 | United Arab Emirates | 0 t | 2023 | — | flat |
| 28 | Argentina | 0 t | 2023 | — | volatile |
| 28 | Armenia | 0 t | 2023 | — | flat |
| 28 | Antigua and Barbuda | 0 t | 2023 | — | flat |
| 28 | Australia | 0 t | 2023 | — | flat |
| 28 | Azerbaijan | 0 t | 2023 | — | flat |
| 28 | Burkina Faso | 0 t | 2023 | — | flat |
| 28 | Bangladesh | 0 t | 2023 | — | flat |
| 28 | Bahrain | 0 t | 2023 | — | flat |
| 28 | Bahamas | 0 t | 2023 | — | flat |
| 28 | Bosnia and Herzegovina | 0 t | 2023 | — | flat |
| 28 | Belarus | 0 t | 2023 | — | flat |
| 28 | Belize | 0 t | 2023 | — | flat |
| 28 | Brazil | 0 t | 2023 | — | flat |
| 28 | Barbados | 0 t | 2023 | — | flat |
| 28 | Bhutan | 0 t | 2023 | — | flat |
| 28 | Botswana | 0 t | 2023 | — | flat |
| 28 | Canada | 0 t | 2023 | — | flat |
| 28 | Switzerland | 0 t | 2023 | — | flat |
| 28 | Chile | 0 t | 2023 | — | flat |
| 28 | Cameroon | 0 t | 2023 | — | flat |
| 28 | Congo | 0 t | 2023 | — | flat |
| 28 | Colombia | 0 t | 2023 | — | flat |
| 28 | Comoros | 0 t | 2023 | — | flat |
| 28 | Costa Rica | 0 t | 2023 | — | flat |
| 28 | Cuba | 0 t | 2019 | — | flat |
| 28 | Cyprus | 0 t | 2023 | — | flat |
| 28 | Czechia | 0 t | 2023 | down 100.0% | volatile |
| 28 | Djibouti | 0 t | 2023 | — | flat |
| 28 | Dominican Republic | 0 t | 2023 | — | flat |
| 28 | Algeria | 0 t | 2023 | — | flat |
| 28 | Ecuador | 0 t | 2023 | — | flat |
| 28 | Egypt | 0 t | 2023 | — | flat |
| 28 | Estonia | 0 t | 2023 | — | flat |
| 28 | Finland | 0 t | 2023 | — | flat |
| 28 | Fiji | 0 t | 2023 | — | flat |
| 28 | France | 0 t | 2023 | — | flat |
| 28 | Gabon | 0 t | 2023 | — | flat |
| 28 | Georgia | 0 t | 2023 | — | flat |
| 28 | Ghana | 0 t | 2023 | — | flat |
| 28 | Guinea | 0 t | 2023 | — | flat |
| 28 | Gambia | 0 t | 2023 | — | flat |
| 28 | Guinea-Bissau | 0 t | 2023 | — | flat |
| 28 | Greece | 0 t | 2023 | — | flat |
| 28 | Grenada | 0 t | 2023 | — | flat |
| 28 | Guatemala | 0 t | 2023 | — | flat |
| 28 | Guyana | 0 t | 2023 | — | flat |
| 28 | Honduras | 0 t | 2023 | — | flat |
| 28 | Croatia | 0 t | 2023 | — | flat |
| 28 | Haiti | 0 t | 2023 | — | volatile |
| 28 | Indonesia | 0 t | 2023 | — | flat |
| 28 | Ireland | 0 t | 2023 | — | flat |
| 28 | Iraq | 0 t | 2023 | — | volatile |
| 28 | Iceland | 0 t | 2023 | — | flat |
| 28 | Israel | 0 t | 2023 | — | flat |
| 28 | Italy | 0 t | 2023 | — | flat |
| 28 | Jordan | 0 t | 2023 | — | flat |
| 28 | Kazakhstan | 0 t | 2023 | — | flat |
| 28 | Kenya | 0 t | 2023 | — | volatile |
| 28 | Kyrgyzstan | 0 t | 2023 | — | flat |
| 28 | Kiribati | 0 t | 2023 | — | flat |
| 28 | Saint Kitts and Nevis | 0 t | 2023 | — | flat |
| 28 | Kuwait | 0 t | 2023 | — | flat |
| 28 | Lebanon | 0 t | 2023 | — | flat |
| 28 | Liberia | 0 t | 2023 | — | flat |
| 28 | Libya | 0 t | 2023 | — | flat |
| 28 | Saint Lucia | 0 t | 2023 | — | flat |
| 28 | Sri Lanka | 0 t | 2023 | — | flat |
| 28 | Lesotho | 0 t | 2023 | — | flat |
| 28 | Lithuania | 0 t | 2023 | — | flat |
| 28 | Luxembourg | 0 t | 2023 | — | flat |
| 28 | Latvia | 0 t | 2023 | — | flat |
| 28 | Morocco | 0 t | 2023 | — | flat |
| 28 | Madagascar | 0 t | 2023 | — | flat |
| 28 | Maldives | 0 t | 2023 | — | flat |
| 28 | Marshall Islands | 0 t | 2023 | — | flat |
| 28 | North Macedonia | 0 t | 2023 | — | flat |
| 28 | Malta | 0 t | 2023 | — | flat |
| 28 | Montenegro | 0 t | 2023 | — | flat |
| 28 | Mongolia | 0 t | 2023 | — | flat |
| 28 | Mauritania | 0 t | 2023 | — | flat |
| 28 | Mauritius | 0 t | 2023 | — | flat |
| 28 | Malaysia | 0 t | 2023 | — | flat |
| 28 | Namibia | 0 t | 2023 | — | flat |
| 28 | New Caledonia | 0 t | 2023 | — | flat |
| 28 | Niger | 0 t | 2023 | — | flat |
| 28 | Nigeria | 0 t | 2023 | — | flat |
| 28 | Nicaragua | 0 t | 2023 | — | flat |
| 28 | Norway | 0 t | 2023 | — | flat |
| 28 | Nepal | 0 t | 2023 | — | flat |
| 28 | Nauru | 0 t | 2023 | — | flat |
| 28 | New Zealand | 0 t | 2023 | — | flat |
| 28 | Oman | 0 t | 2023 | — | flat |
| 28 | Panama | 0 t | 2023 | — | flat |
| 28 | Peru | 0 t | 2023 | down 100.0% | volatile |
| 28 | Papua New Guinea | 0 t | 2023 | — | flat |
| 28 | Poland | 0 t | 2023 | — | flat |
| 28 | Paraguay | 0 t | 2023 | — | flat |
| 28 | French Polynesia | 0 t | 2023 | — | flat |
| 28 | Qatar | 0 t | 2023 | — | flat |
| 28 | Romania | 0 t | 2023 | — | flat |
| 28 | Rwanda | 0 t | 2023 | — | flat |
| 28 | Saudi Arabia | 0 t | 2023 | — | flat |
| 28 | Senegal | 0 t | 2023 | — | volatile |
| 28 | Solomon Islands | 0 t | 2023 | — | flat |
| 28 | Sierra Leone | 0 t | 2023 | — | flat |
| 28 | El Salvador | 0 t | 2023 | — | flat |
| 28 | Serbia | 0 t | 2023 | — | flat |
| 28 | Sao Tome and Principe | 0 t | 2023 | — | flat |
| 28 | Suriname | 0 t | 2023 | — | flat |
| 28 | Sweden | 0 t | 2023 | — | flat |
| 28 | Eswatini | 0 t | 2023 | — | flat |
| 28 | Seychelles | 0 t | 2023 | — | flat |
| 28 | Thailand | 0 t | 2023 | — | flat |
| 28 | Tajikistan | 0 t | 2023 | — | flat |
| 28 | Turkmenistan | 0 t | 2023 | — | flat |
| 28 | Tonga | 0 t | 2023 | — | flat |
| 28 | Trinidad and Tobago | 0 t | 2023 | — | flat |
| 28 | Tunisia | 0 t | 2023 | — | flat |
| 28 | Ukraine | 0 t | 2023 | — | flat |
| 28 | Uruguay | 0 t | 2023 | — | flat |
| 28 | Uzbekistan | 0 t | 2023 | — | flat |
| 28 | Saint Vincent and the Grenadines | 0 t | 2023 | — | flat |
| 28 | Vanuatu | 0 t | 2023 | — | flat |
| 28 | Samoa | 0 t | 2023 | — | flat |
| 28 | Zimbabwe | 0 t | 2023 | — | flat |
| 28 | Micronesia | 0 t | 2023 | — | flat |
| 28 | Timor-Leste | 0 t | 2023 | — | flat |
| 28 | Cabo Verde | 0 t | 2023 | — | flat |
| 28 | Melanesia | 0 t | 2023 | — | flat |
| 28 | Polynesia | 0 t | 2023 | — | flat |
| 28 | Democratic Republic of the Congo | 0 t | 2023 | — | flat |
| 28 | China, Hong Kong SAR | 0 t | 2023 | — | flat |
| 28 | Iran (Islamic Republic of) | 0 t | 2023 | — | flat |
| 28 | Republic of Korea | 0 t | 2023 | — | flat |
| 28 | Republic of Moldova | 0 t | 2023 | — | flat |
| 28 | Russian Federation | 0 t | 2023 | — | flat |
| 28 | Syrian Arab Republic | 0 t | 2023 | down 100.0% | volatile |
| 28 | Venezuela (Bolivarian Republic of) | 0 t | 2023 | — | flat |
| 28 | Viet Nam | 0 t | 2023 | — | flat |
| 28 | Australia and New Zealand | 0 t | 2023 | — | flat |
| 28 | Côte d'Ivoire | 0 t | 2023 | — | flat |
| 28 | Lao People's Democratic Republic | 0 t | 2023 | — | flat |
| 28 | United Republic of Tanzania | 0 t | 2023 | — | flat |
| 28 | China, Taiwan Province of | 0 t | 2023 | — | flat |
| 28 | Netherlands (Kingdom of the) | 0 t | 2023 | — | flat |
| 28 | Democratic People's Republic of Korea | 0 t | 2018 | — | flat |
| 28 | China, Macao SAR | 0 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 2,095 t
- Asia 1,485 t
- Western Asia 1,177 t
- Europe 476.46 t
- European Union (27) 357.09 t
- Eastern Asia 174.15 t
- Eastern Europe 162.64 t
- Western Europe 152.81 t
- Southern Asia 123.88 t
- Northern Europe 123.33 t
- Americas 119.9 t
- Net Food Importing Developing Countries (NFIDCs) 115.03 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.