Cottonseed — Production 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 — Production is currently reported for 107 countries. The highest value is 10,600 1000 t in India; the lowest is 0 1000 t in China, Taiwan Province of.
The median across all reporting countries is 2 1000 t, and the mean is 443.35 1000 t.
Over the past decade 20 countries rose and 37 fell. The largest increase was in Tunisia (up 300.0%), and the largest decrease in Costa Rica (down 100.0%).
Cottonseed — Production: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 10,600 1000 t | 2023 | down 13.8% | falling |
| 2 | China | 9,400 1000 t | 2023 | down 25.5% | falling |
| 2 | China, mainland | 9,400 1000 t | 2023 | down 25.5% | falling |
| 4 | Brazil | 4,495 1000 t | 2023 | up 108.8% | rising |
| 5 | Pakistan | 3,173 1000 t | 2023 | down 22.1% | falling |
| 6 | Australia | 1,443 1000 t | 2023 | up 0.3% | falling |
| 6 | Australia and New Zealand | 1,443 1000 t | 2023 | up 0.3% | falling |
| 8 | Uzbekistan | 1,370 1000 t | 2023 | down 25.9% | falling |
| 9 | Türkiye | 1,260 1000 t | 2023 | down 2.1% | flat |
| 10 | Greece | 814 1000 t | 2023 | up 60.6% | rising |
| 11 | Argentina | 430 1000 t | 2023 | up 50.9% | rising |
| 12 | Turkmenistan | 360 1000 t | 2023 | down 9.1% | falling |
| 13 | Burkina Faso | 330 1000 t | 2023 | down 23.3% | flat |
| 13 | Mexico | 330 1000 t | 2023 | up 2.2% | rising |
| 15 | Côte d'Ivoire | 290 1000 t | 2023 | up 40.1% | rising |
| 16 | Cameroon | 280 1000 t | 2023 | up 79.5% | rising |
| 17 | Myanmar | 217 1000 t | 2023 | down 22.5% | falling |
| 18 | Tajikistan | 195 1000 t | 2023 | down 13.3% | flat |
| 19 | United Republic of Tanzania | 185 1000 t | 2023 | down 17.4% | flat |
| 20 | Kazakhstan | 180 1000 t | 2023 | down 17.4% | flat |
| 21 | Azerbaijan | 144 1000 t | 2023 | up 234.9% | volatile |
| 22 | Egypt | 130 1000 t | 2023 | down 3.0% | falling |
| 23 | Nigeria | 124 1000 t | 2023 | up 21.6% | rising |
| 24 | Ethiopia | 105 1000 t | 2023 | up 50.0% | rising |
| 25 | Afghanistan | 80 1000 t | 2023 | up 196.3% | rising |
| 25 | Uganda | 80 1000 t | 2023 | up 166.7% | rising |
| 27 | Iran (Islamic Republic of) | 72 1000 t | 2023 | down 29.4% | falling |
| 28 | Syrian Arab Republic | 61 1000 t | 2023 | down 85.1% | volatile |
| 29 | Bangladesh | 42 1000 t | 2023 | up 20.0% | rising |
| 29 | Kyrgyzstan | 42 1000 t | 2023 | down 4.5% | falling |
| 31 | Zimbabwe | 40 1000 t | 2023 | down 72.4% | volatile |
| 32 | Zambia | 35 1000 t | 2023 | down 62.0% | volatile |
| 33 | Malawi | 30 1000 t | 2023 | down 70.9% | volatile |
| 34 | Democratic People's Republic of Korea | 25 1000 t | 2018 | up 8.7% | rising |
| 35 | Mozambique | 24 1000 t | 2023 | down 60.7% | falling |
| 36 | Guinea | 23 1000 t | 2023 | up 4.5% | rising |
| 36 | Israel | 23 1000 t | 2023 | up 35.3% | falling |
| 38 | Peru | 20 1000 t | 2023 | down 55.6% | volatile |
| 38 | Democratic Republic of the Congo | 20 1000 t | 2023 | unchanged | rising |
| 40 | Paraguay | 18 1000 t | 2023 | down 45.5% | flat |
| 41 | Colombia | 15 1000 t | 2023 | down 57.1% | volatile |
| 42 | Spain | 14 1000 t | 2023 | down 75.4% | falling |
| 43 | Ghana | 11 1000 t | 2023 | up 37.5% | rising |
| 43 | Senegal | 11 1000 t | 2023 | down 42.1% | falling |
| 45 | Madagascar | 9 1000 t | 2023 | unchanged | falling |
| 46 | Bolivia (Plurinational State of) | 5 1000 t | 2023 | down 92.8% | volatile |
| 47 | Nicaragua | 4 1000 t | 2023 | up 33.3% | rising |
| 47 | Tunisia | 4 1000 t | 2023 | up 300.0% | volatile |
| 47 | Venezuela (Bolivarian Republic of) | 4 1000 t | 2023 | down 42.9% | volatile |
| 50 | Guinea-Bissau | 3 1000 t | 2023 | unchanged | flat |
| 50 | Kenya | 3 1000 t | 2023 | down 62.5% | volatile |
| 50 | Niger | 3 1000 t | 2023 | down 50.0% | falling |
| 50 | Yemen | 3 1000 t | 2023 | down 75.0% | volatile |
| 54 | Angola | 2 1000 t | 2023 | down 33.3% | falling |
| 54 | Ecuador | 2 1000 t | 2023 | unchanged | falling |
| 54 | Honduras | 2 1000 t | 2023 | unchanged | flat |
| 54 | Thailand | 2 1000 t | 2023 | unchanged | flat |
| 58 | Albania | 1 1000 t | 2023 | unchanged | falling |
| 58 | Bulgaria | 1 1000 t | 2023 | — | volatile |
| 58 | Botswana | 1 1000 t | 2023 | unchanged | flat |
| 58 | Guatemala | 1 1000 t | 2023 | down 50.0% | falling |
| 58 | Haiti | 1 1000 t | 2023 | unchanged | volatile |
| 58 | Eswatini | 1 1000 t | 2023 | unchanged | flat |
| 58 | Caribbean | 1 1000 t | 2023 | unchanged | flat |
| 58 | Lao People's Democratic Republic | 1 1000 t | 2023 | down 80.0% | falling |
| 66 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 66 | Austria | 0 1000 t | 2023 | — | flat |
| 66 | Belgium | 0 1000 t | 2023 | — | flat |
| 66 | Bahrain | 0 1000 t | 2023 | — | volatile |
| 66 | Costa Rica | 0 1000 t | 2023 | down 100.0% | volatile |
| 66 | Cuba | 0 1000 t | 2015 | — | flat |
| 66 | Cyprus | 0 1000 t | 2023 | — | flat |
| 66 | Czechia | 0 1000 t | 2023 | — | flat |
| 66 | Germany | 0 1000 t | 2023 | — | flat |
| 66 | Denmark | 0 1000 t | 2023 | — | flat |
| 66 | Dominican Republic | 0 1000 t | 2018 | — | flat |
| 66 | Algeria | 0 1000 t | 2023 | — | flat |
| 66 | Estonia | 0 1000 t | 2023 | — | flat |
| 66 | Finland | 0 1000 t | 2023 | — | flat |
| 66 | Gambia | 0 1000 t | 2023 | — | flat |
| 66 | Grenada | 0 1000 t | 2023 | — | flat |
| 66 | Croatia | 0 1000 t | 2023 | — | flat |
| 66 | Hungary | 0 1000 t | 2023 | — | flat |
| 66 | Indonesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 66 | Ireland | 0 1000 t | 2023 | — | flat |
| 66 | Iraq | 0 1000 t | 2023 | down 100.0% | volatile |
| 66 | Italy | 0 1000 t | 2023 | — | flat |
| 66 | Cambodia | 0 1000 t | 2023 | — | flat |
| 66 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 66 | Sri Lanka | 0 1000 t | 2018 | — | flat |
| 66 | Lithuania | 0 1000 t | 2023 | — | flat |
| 66 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 66 | Morocco | 0 1000 t | 2023 | — | flat |
| 66 | North Macedonia | 0 1000 t | 2021 | — | flat |
| 66 | Nepal | 0 1000 t | 2023 | — | flat |
| 66 | Philippines | 0 1000 t | 2023 | — | flat |
| 66 | Poland | 0 1000 t | 2023 | — | flat |
| 66 | Romania | 0 1000 t | 2023 | — | flat |
| 66 | Saudi Arabia | 0 1000 t | 2014 | — | flat |
| 66 | El Salvador | 0 1000 t | 2023 | — | flat |
| 66 | Slovenia | 0 1000 t | 2023 | — | flat |
| 66 | Sweden | 0 1000 t | 2023 | — | flat |
| 66 | Uruguay | 0 1000 t | 2015 | — | flat |
| 66 | Saint Vincent and the Grenadines | 0 1000 t | 2014 | — | flat |
| 66 | Republic of Korea | 0 1000 t | 2015 | — | flat |
| 66 | Viet Nam | 0 1000 t | 2023 | down 100.0% | volatile |
| 66 | China, Taiwan Province of | 0 1000 t | 2015 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 41,093 1000 t
- Asia 27,242 1000 t
- Southern Asia 13,966 1000 t
- Eastern Asia 9,417 1000 t
- Americas 8,763 1000 t
- Net Food Importing Developing Countries (NFIDCs) 5,875 1000 t
- South America 4,989 1000 t
- Low Income Food Deficit Countries (LIFDCs) 3,962 1000 t
- Land Locked Developing Countries (LLDCs) 3,500 1000 t
- Northern America 3,436 1000 t
- United States of America 3,436 1000 t
- Africa 2,815 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.