Cottonseed 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
Cottonseed Oil — Protein supply quantity (t) is currently reported for 146 countries. The highest value is 251.79 t in Pakistan; the lowest is 0 t in China, Macao SAR.
The median across all reporting countries is 0 t, and the mean is 4.91 t.
Over the past decade 13 countries rose and 24 fell. The largest increase was in Ethiopia (up 6,600.0%), and the largest decrease in Antigua and Barbuda (down 100.0%).
Cottonseed Oil — Protein supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Pakistan | 251.79 t | 2023 | down 22.0% | volatile |
| 2 | India | 133.11 t | 2023 | down 52.1% | falling |
| 3 | China (People's Republic of) | 126.08 t | 2023 | up 168.7% | volatile |
| 3 | China, mainland | 126.08 t | 2023 | up 168.7% | volatile |
| 5 | Mexico | 32.73 t | 2023 | down 63.5% | falling |
| 6 | Kyrgyzstan | 20.94 t | 2023 | up 39.3% | rising |
| 7 | Turkmenistan | 10.77 t | 2023 | — | volatile |
| 8 | Brazil | 3.83 t | 2023 | — | volatile |
| 9 | Kazakhstan | 2.2 t | 2023 | down 83.0% | volatile |
| 10 | Bulgaria | 1.62 t | 2023 | up 88.4% | volatile |
| 10 | Republic of Korea | 1.62 t | 2023 | down 5.3% | flat |
| 12 | Saudi Arabia | 1.5 t | 2023 | up 102.7% | volatile |
| 13 | Lesotho | 0.7 t | 2023 | up 438.5% | volatile |
| 14 | Ethiopia | 0.67 t | 2023 | up 6,600.0% | volatile |
| 15 | Israel | 0.52 t | 2023 | up 40.5% | rising |
| 16 | Uganda | 0.5 t | 2023 | up 257.1% | rising |
| 17 | Albania | 0.28 t | 2023 | up 833.3% | volatile |
| 18 | Chile | 0.25 t | 2023 | down 39.0% | volatile |
| 19 | Zambia | 0.24 t | 2023 | down 83.0% | volatile |
| 20 | Paraguay | 0.14 t | 2023 | up 55.6% | rising |
| 21 | Nicaragua | 0.09 t | 2023 | up 350.0% | volatile |
| 22 | Malawi | 0.08 t | 2023 | down 89.9% | volatile |
| 23 | Armenia | 0.06 t | 2023 | up 500.0% | volatile |
| 23 | Serbia | 0.06 t | 2023 | — | volatile |
| 25 | Mozambique | 0.05 t | 2023 | down 16.7% | rising |
| 25 | Romania | 0.05 t | 2023 | down 82.1% | volatile |
| 27 | Botswana | 0.04 t | 2023 | down 93.7% | volatile |
| 27 | Spain | 0.04 t | 2023 | — | volatile |
| 29 | Namibia | 0.03 t | 2023 | — | volatile |
| 29 | Eswatini | 0.03 t | 2023 | — | volatile |
| 29 | Yemen | 0.03 t | 2023 | unchanged | volatile |
| 32 | Cyprus | 0.01 t | 2023 | — | volatile |
| 32 | Fiji | 0.01 t | 2023 | unchanged | falling |
| 32 | Cambodia | 0.01 t | 2023 | — | volatile |
| 32 | Luxembourg | 0.01 t | 2023 | — | volatile |
| 32 | Morocco | 0.01 t | 2023 | — | volatile |
| 37 | Afghanistan | 0 t | 2023 | — | volatile |
| 37 | Angola | 0 t | 2023 | — | flat |
| 37 | United Arab Emirates | 0 t | 2023 | — | flat |
| 37 | Argentina | 0 t | 2023 | — | flat |
| 37 | Antigua and Barbuda | 0 t | 2023 | down 100.0% | volatile |
| 37 | Australia | 0 t | 2023 | — | flat |
| 37 | Austria | 0 t | 2023 | down 100.0% | volatile |
| 37 | Azerbaijan | 0 t | 2023 | down 100.0% | volatile |
| 37 | Belgium | 0 t | 2023 | down 100.0% | volatile |
| 37 | Burkina Faso | 0 t | 2023 | — | flat |
| 37 | Bangladesh | 0 t | 2023 | — | flat |
| 37 | Bahrain | 0 t | 2023 | — | volatile |
| 37 | Bahamas | 0 t | 2023 | down 100.0% | volatile |
| 37 | Bosnia and Herzegovina | 0 t | 2023 | down 100.0% | volatile |
| 37 | Belarus | 0 t | 2023 | — | volatile |
| 37 | Belize | 0 t | 2023 | down 100.0% | volatile |
| 37 | Barbados | 0 t | 2023 | — | flat |
| 37 | Canada | 0 t | 2023 | — | volatile |
| 37 | Switzerland | 0 t | 2023 | down 100.0% | volatile |
| 37 | Cameroon | 0 t | 2023 | — | flat |
| 37 | Congo | 0 t | 2023 | — | flat |
| 37 | Colombia | 0 t | 2023 | — | flat |
| 37 | Comoros | 0 t | 2023 | — | flat |
| 37 | Costa Rica | 0 t | 2023 | — | flat |
| 37 | Cuba | 0 t | 2019 | — | flat |
| 37 | Czechia | 0 t | 2023 | — | flat |
| 37 | Germany | 0 t | 2023 | — | flat |
| 37 | Djibouti | 0 t | 2023 | — | flat |
| 37 | Denmark | 0 t | 2023 | — | flat |
| 37 | Dominican Republic | 0 t | 2023 | — | flat |
| 37 | Egypt | 0 t | 2023 | — | volatile |
| 37 | Estonia | 0 t | 2023 | — | flat |
| 37 | Finland | 0 t | 2021 | — | volatile |
| 37 | France | 0 t | 2023 | — | flat |
| 37 | Gabon | 0 t | 2023 | — | flat |
| 37 | Georgia | 0 t | 2023 | down 100.0% | volatile |
| 37 | Ghana | 0 t | 2023 | — | volatile |
| 37 | Guinea | 0 t | 2023 | — | flat |
| 37 | Gambia | 0 t | 2021 | — | flat |
| 37 | Guinea-Bissau | 0 t | 2023 | — | flat |
| 37 | Greece | 0 t | 2023 | — | volatile |
| 37 | Grenada | 0 t | 2023 | — | volatile |
| 37 | Guatemala | 0 t | 2023 | — | flat |
| 37 | Guyana | 0 t | 2023 | — | flat |
| 37 | Honduras | 0 t | 2023 | — | flat |
| 37 | Croatia | 0 t | 2023 | — | flat |
| 37 | Haiti | 0 t | 2023 | — | flat |
| 37 | Hungary | 0 t | 2023 | down 100.0% | volatile |
| 37 | Indonesia | 0 t | 2023 | — | flat |
| 37 | Iraq | 0 t | 2023 | — | flat |
| 37 | Iceland | 0 t | 2023 | — | volatile |
| 37 | Italy | 0 t | 2023 | — | flat |
| 37 | Jamaica | 0 t | 2023 | — | flat |
| 37 | Jordan | 0 t | 2023 | — | flat |
| 37 | Kenya | 0 t | 2023 | — | flat |
| 37 | Saint Kitts and Nevis | 0 t | 2023 | — | flat |
| 37 | Kuwait | 0 t | 2023 | — | volatile |
| 37 | Lebanon | 0 t | 2023 | down 100.0% | volatile |
| 37 | Liberia | 0 t | 2023 | — | flat |
| 37 | Libya | 0 t | 2023 | — | volatile |
| 37 | Saint Lucia | 0 t | 2023 | — | flat |
| 37 | Sri Lanka | 0 t | 2023 | — | flat |
| 37 | Latvia | 0 t | 2023 | — | volatile |
| 37 | Madagascar | 0 t | 2023 | — | flat |
| 37 | Marshall Islands | 0 t | 2023 | — | flat |
| 37 | North Macedonia | 0 t | 2020 | — | volatile |
| 37 | Malta | 0 t | 2023 | — | volatile |
| 37 | Myanmar | 0 t | 2023 | — | volatile |
| 37 | Montenegro | 0 t | 2023 | — | volatile |
| 37 | Mongolia | 0 t | 2023 | — | flat |
| 37 | Mauritius | 0 t | 2023 | — | volatile |
| 37 | Malaysia | 0 t | 2023 | — | flat |
| 37 | New Caledonia | 0 t | 2023 | — | volatile |
| 37 | Nigeria | 0 t | 2023 | — | flat |
| 37 | Norway | 0 t | 2023 | — | flat |
| 37 | Nepal | 0 t | 2023 | — | flat |
| 37 | New Zealand | 0 t | 2023 | — | flat |
| 37 | Oman | 0 t | 2023 | — | flat |
| 37 | Panama | 0 t | 2019 | — | volatile |
| 37 | Peru | 0 t | 2023 | down 100.0% | volatile |
| 37 | Philippines | 0 t | 2023 | — | flat |
| 37 | Papua New Guinea | 0 t | 2021 | — | flat |
| 37 | Portugal | 0 t | 2023 | — | volatile |
| 37 | French Polynesia | 0 t | 2023 | — | flat |
| 37 | Qatar | 0 t | 2023 | — | volatile |
| 37 | Rwanda | 0 t | 2023 | — | flat |
| 37 | Senegal | 0 t | 2023 | — | flat |
| 37 | Solomon Islands | 0 t | 2020 | — | flat |
| 37 | Sierra Leone | 0 t | 2023 | — | flat |
| 37 | El Salvador | 0 t | 2023 | down 100.0% | volatile |
| 37 | Sao Tome and Principe | 0 t | 2023 | — | flat |
| 37 | Suriname | 0 t | 2023 | — | flat |
| 37 | Sweden | 0 t | 2023 | — | volatile |
| 37 | Seychelles | 0 t | 2023 | — | volatile |
| 37 | Thailand | 0 t | 2023 | — | flat |
| 37 | Tajikistan | 0 t | 2023 | — | flat |
| 37 | Tonga | 0 t | 2023 | — | flat |
| 37 | Trinidad and Tobago | 0 t | 2023 | — | flat |
| 37 | Tunisia | 0 t | 2023 | — | flat |
| 37 | Uruguay | 0 t | 2023 | — | flat |
| 37 | Uzbekistan | 0 t | 2023 | — | flat |
| 37 | Saint Vincent and the Grenadines | 0 t | 2021 | — | flat |
| 37 | Vanuatu | 0 t | 2023 | — | flat |
| 37 | Samoa | 0 t | 2021 | — | flat |
| 37 | South Africa | 0 t | 2023 | — | flat |
| 37 | Zimbabwe | 0 t | 2023 | — | flat |
| 37 | China, Hong Kong SAR | 0 t | 2023 | — | flat |
| 37 | Australia and New Zealand | 0 t | 2023 | — | flat |
| 37 | United Kingdom of Great Britain and Northern Ireland | 0 t | 2023 | — | flat |
| 37 | 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 759.88 t
- Net Food Importing Developing Countries (NFIDCs) 254.37 t
- Americas 158.65 t
- Northern America 121.6 t
- United States of America 121.6 t
- Land Locked Developing Countries (LLDCs) 36.44 t
- Low Income Food Deficit Countries (LIFDCs) 23.2 t
- European Union (27) 1.74 t
- Western Europe 0.01 t
- Northern Europe 0 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.