Cottonseed — Domestic supply 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...
What the numbers show
Cottonseed — Domestic supply quantity is currently reported for 154 countries. The highest value is 10,598 1000 t in India; the lowest is -5 1000 t in Indonesia.
The median across all reporting countries is 1 1000 t, and the mean is 308.38 1000 t.
The gap between the highest and lowest reporting country is a factor of about 2,120.
Over the past decade 24 countries rose and 49 fell. The largest increase was in Uganda (up 400.0%), and the largest decrease in Cyprus (down 100.0%).
Cottonseed — Domestic supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 10,598 1000 t | 2023 | down 13.1% | falling |
| 2 | China | 10,092 1000 t | 2023 | down 20.9% | falling |
| 2 | China, mainland | 10,092 1000 t | 2023 | down 20.9% | falling |
| 4 | Brazil | 4,460 1000 t | 2023 | up 102.5% | rising |
| 5 | Pakistan | 3,041 1000 t | 2023 | down 27.0% | falling |
| 6 | Uzbekistan | 1,529 1000 t | 2023 | down 17.5% | falling |
| 7 | Türkiye | 1,234 1000 t | 2023 | up 5.5% | falling |
| 8 | Australia | 810 1000 t | 2023 | down 6.7% | rising |
| 8 | Australia and New Zealand | 810 1000 t | 2023 | down 6.7% | rising |
| 10 | Greece | 615 1000 t | 2023 | up 91.0% | rising |
| 11 | Argentina | 475 1000 t | 2023 | up 44.4% | rising |
| 12 | Mexico | 422 1000 t | 2023 | down 3.7% | rising |
| 13 | Côte d'Ivoire | 290 1000 t | 2023 | up 147.9% | volatile |
| 14 | Cameroon | 283 1000 t | 2023 | up 67.5% | rising |
| 15 | Tajikistan | 226 1000 t | 2023 | up 4.1% | flat |
| 15 | Turkmenistan | 226 1000 t | 2023 | down 35.2% | falling |
| 17 | United Republic of Tanzania | 211 1000 t | 2023 | up 8.2% | flat |
| 18 | Saudi Arabia | 150 1000 t | 2023 | up 82.9% | rising |
| 19 | Kazakhstan | 138 1000 t | 2023 | down 38.9% | falling |
| 20 | Republic of Korea | 136 1000 t | 2023 | down 10.5% | rising |
| 21 | Egypt | 130 1000 t | 2023 | down 5.1% | falling |
| 22 | Azerbaijan | 126 1000 t | 2023 | up 180.0% | rising |
| 23 | Nigeria | 125 1000 t | 2023 | up 14.7% | rising |
| 24 | Burkina Faso | 124 1000 t | 2023 | down 72.1% | falling |
| 25 | Myanmar | 123 1000 t | 2023 | down 56.1% | falling |
| 26 | Italy | 114 1000 t | 2023 | down 14.3% | falling |
| 27 | Zimbabwe | 95 1000 t | 2023 | down 32.6% | falling |
| 28 | Ethiopia | 94 1000 t | 2023 | up 56.7% | rising |
| 29 | Afghanistan | 78 1000 t | 2023 | up 188.9% | rising |
| 30 | Uganda | 75 1000 t | 2023 | up 400.0% | rising |
| 31 | Iran (Islamic Republic of) | 73 1000 t | 2023 | down 38.7% | falling |
| 32 | Syrian Arab Republic | 56 1000 t | 2023 | down 86.3% | volatile |
| 33 | Bangladesh | 41 1000 t | 2023 | up 17.1% | rising |
| 34 | Kyrgyzstan | 40 1000 t | 2023 | down 16.7% | falling |
| 35 | Spain | 36 1000 t | 2023 | down 65.0% | falling |
| 36 | Mozambique | 26 1000 t | 2023 | down 48.0% | falling |
| 37 | Democratic People's Republic of Korea | 25 1000 t | 2018 | up 8.7% | rising |
| 38 | Guinea | 23 1000 t | 2023 | up 4.5% | rising |
| 39 | Malawi | 22 1000 t | 2023 | down 82.0% | volatile |
| 39 | Democratic Republic of the Congo | 22 1000 t | 2023 | up 10.0% | rising |
| 41 | Peru | 20 1000 t | 2023 | down 64.3% | falling |
| 42 | Paraguay | 18 1000 t | 2023 | down 55.0% | volatile |
| 42 | Zambia | 18 1000 t | 2023 | down 61.7% | volatile |
| 44 | Colombia | 16 1000 t | 2023 | down 54.3% | volatile |
| 45 | Israel | 14 1000 t | 2023 | down 36.4% | falling |
| 46 | Senegal | 11 1000 t | 2023 | down 38.9% | falling |
| 47 | United Arab Emirates | 10 1000 t | 2023 | down 9.1% | flat |
| 47 | Czechia | 10 1000 t | 2023 | up 400.0% | volatile |
| 49 | Madagascar | 9 1000 t | 2023 | unchanged | falling |
| 50 | Ghana | 8 1000 t | 2023 | up 300.0% | rising |
| 50 | Kenya | 8 1000 t | 2023 | down 33.3% | falling |
| 52 | Qatar | 5 1000 t | 2023 | — | rising |
| 52 | Bolivia (Plurinational State of) | 5 1000 t | 2023 | down 92.8% | volatile |
| 54 | Canada | 4 1000 t | 2023 | down 60.0% | falling |
| 54 | Nicaragua | 4 1000 t | 2023 | up 100.0% | rising |
| 54 | Oman | 4 1000 t | 2023 | — | volatile |
| 54 | Slovakia | 4 1000 t | 2023 | up 100.0% | volatile |
| 54 | Tunisia | 4 1000 t | 2023 | up 300.0% | volatile |
| 54 | Venezuela (Bolivarian Republic of) | 4 1000 t | 2023 | down 50.0% | falling |
| 54 | Viet Nam | 4 1000 t | 2023 | up 100.0% | volatile |
| 61 | Chile | 3 1000 t | 2023 | down 66.7% | falling |
| 61 | Guinea-Bissau | 3 1000 t | 2023 | unchanged | flat |
| 61 | Niger | 3 1000 t | 2023 | down 50.0% | falling |
| 61 | Yemen | 3 1000 t | 2023 | down 75.0% | volatile |
| 65 | Angola | 2 1000 t | 2023 | down 33.3% | falling |
| 65 | Ecuador | 2 1000 t | 2023 | unchanged | flat |
| 65 | Honduras | 2 1000 t | 2023 | unchanged | flat |
| 65 | Thailand | 2 1000 t | 2023 | unchanged | flat |
| 69 | Albania | 1 1000 t | 2023 | unchanged | falling |
| 69 | Bulgaria | 1 1000 t | 2023 | unchanged | volatile |
| 69 | Botswana | 1 1000 t | 2023 | unchanged | falling |
| 69 | Guatemala | 1 1000 t | 2023 | down 50.0% | falling |
| 69 | Haiti | 1 1000 t | 2023 | unchanged | falling |
| 69 | Jordan | 1 1000 t | 2023 | — | volatile |
| 69 | Morocco | 1 1000 t | 2023 | — | volatile |
| 69 | Romania | 1 1000 t | 2023 | — | volatile |
| 69 | Eswatini | 1 1000 t | 2023 | unchanged | volatile |
| 69 | Lao People's Democratic Republic | 1 1000 t | 2023 | down 80.0% | falling |
| 80 | Armenia | 0 1000 t | 2021 | — | flat |
| 80 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 80 | Austria | 0 1000 t | 2023 | — | flat |
| 80 | Belgium | 0 1000 t | 2023 | — | flat |
| 80 | Bahrain | 0 1000 t | 2023 | — | volatile |
| 80 | Bahamas | 0 1000 t | 2023 | — | flat |
| 80 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 80 | Belarus | 0 1000 t | 2023 | — | flat |
| 80 | Barbados | 0 1000 t | 2023 | — | flat |
| 80 | Bhutan | 0 1000 t | 2023 | — | flat |
| 80 | Switzerland | 0 1000 t | 2023 | — | flat |
| 80 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 80 | Cuba | 0 1000 t | 2019 | — | flat |
| 80 | Cyprus | 0 1000 t | 2023 | down 100.0% | volatile |
| 80 | Germany | 0 1000 t | 2023 | — | flat |
| 80 | Denmark | 0 1000 t | 2023 | — | flat |
| 80 | Dominican Republic | 0 1000 t | 2023 | — | flat |
| 80 | Algeria | 0 1000 t | 2023 | — | flat |
| 80 | Estonia | 0 1000 t | 2023 | — | flat |
| 80 | Finland | 0 1000 t | 2023 | — | flat |
| 80 | Fiji | 0 1000 t | 2023 | — | flat |
| 80 | France | 0 1000 t | 2023 | down 100.0% | volatile |
| 80 | Gabon | 0 1000 t | 2023 | — | flat |
| 80 | Georgia | 0 1000 t | 2023 | — | flat |
| 80 | Gambia | 0 1000 t | 2023 | — | flat |
| 80 | Grenada | 0 1000 t | 2023 | — | flat |
| 80 | Guyana | 0 1000 t | 2023 | — | flat |
| 80 | Croatia | 0 1000 t | 2023 | — | volatile |
| 80 | Hungary | 0 1000 t | 2023 | down 100.0% | volatile |
| 80 | Ireland | 0 1000 t | 2023 | — | volatile |
| 80 | Iraq | 0 1000 t | 2023 | down 100.0% | volatile |
| 80 | Iceland | 0 1000 t | 2023 | — | flat |
| 80 | Jamaica | 0 1000 t | 2020 | — | flat |
| 80 | Cambodia | 0 1000 t | 2023 | — | flat |
| 80 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 80 | Kuwait | 0 1000 t | 2023 | — | volatile |
| 80 | Lebanon | 0 1000 t | 2023 | down 100.0% | volatile |
| 80 | Libya | 0 1000 t | 2023 | — | flat |
| 80 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 80 | Lesotho | 0 1000 t | 2023 | — | flat |
| 80 | Lithuania | 0 1000 t | 2023 | — | flat |
| 80 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 80 | Latvia | 0 1000 t | 2023 | — | flat |
| 80 | Maldives | 0 1000 t | 2023 | — | flat |
| 80 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 80 | Malta | 0 1000 t | 2023 | — | flat |
| 80 | Montenegro | 0 1000 t | 2023 | — | flat |
| 80 | Mauritania | 0 1000 t | 2023 | — | flat |
| 80 | Mauritius | 0 1000 t | 2023 | — | flat |
| 80 | Malaysia | 0 1000 t | 2023 | down 100.0% | volatile |
| 80 | Namibia | 0 1000 t | 2023 | down 100.0% | volatile |
| 80 | Norway | 0 1000 t | 2023 | — | flat |
| 80 | Nepal | 0 1000 t | 2023 | — | flat |
| 80 | New Zealand | 0 1000 t | 2023 | — | flat |
| 80 | Panama | 0 1000 t | 2020 | — | flat |
| 80 | Philippines | 0 1000 t | 2023 | — | flat |
| 80 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 80 | Poland | 0 1000 t | 2023 | — | flat |
| 80 | Portugal | 0 1000 t | 2023 | down 100.0% | volatile |
| 80 | Rwanda | 0 1000 t | 2023 | — | flat |
| 80 | El Salvador | 0 1000 t | 2023 | down 100.0% | volatile |
| 80 | Serbia | 0 1000 t | 2023 | — | volatile |
| 80 | Slovenia | 0 1000 t | 2023 | — | flat |
| 80 | Sweden | 0 1000 t | 2023 | — | flat |
| 80 | Uruguay | 0 1000 t | 2023 | — | volatile |
| 80 | Saint Vincent and the Grenadines | 0 1000 t | 2015 | — | flat |
| 80 | Vanuatu | 0 1000 t | 2020 | — | flat |
| 80 | Samoa | 0 1000 t | 2021 | — | flat |
| 80 | Melanesia | 0 1000 t | 2023 | — | flat |
| 80 | Polynesia | 0 1000 t | 2021 | — | flat |
| 80 | China, Hong Kong SAR | 0 1000 t | 2019 | — | flat |
| 80 | Russian Federation | 0 1000 t | 2023 | — | volatile |
| 80 | China, Taiwan Province of | 0 1000 t | 2023 | down 100.0% | volatile |
| 80 | Netherlands (Kingdom of the) | 0 1000 t | 2023 | — | flat |
| 80 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | — | volatile |
| 155 | Indonesia | -5 1000 t | 2023 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 40,405 1000 t
- Asia 28,054 1000 t
- Southern Asia 13,832 1000 t
- Eastern Asia 10,334 1000 t
- Americas 8,179 1000 t
- Net Food Importing Developing Countries (NFIDCs) 5,344 1000 t
- South America 5,003 1000 t
- Low Income Food Deficit Countries (LIFDCs) 3,916 1000 t
- Land Locked Developing Countries (LLDCs) 3,325 1000 t
- Northern America 2,745 1000 t
- United States of America 2,741 1000 t
- Africa 2,581 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.