Cottonseed — Seed 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 — Seed is currently reported for 55 countries. The highest value is 191 1000 t in China, mainland; the lowest is 0 1000 t in Bolivia (Plurinational State of).
The median across all reporting countries is 3 1000 t, and the mean is 22.36 1000 t.
Over the past decade 10 countries rose and 29 fell. The largest increase was in Azerbaijan (up 150.0%), and the largest decrease in Spain (down 100.0%).
Cottonseed — Seed: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China, mainland | 191 1000 t | 2023 | down 25.7% | falling |
| 1 | China | 191 1000 t | 2023 | down 25.7% | falling |
| 3 | India | 164 1000 t | 2023 | down 31.4% | falling |
| 4 | United States | 114 1000 t | 2023 | down 28.8% | falling |
| 5 | Pakistan | 97 1000 t | 2023 | down 24.8% | falling |
| 6 | Brazil | 96 1000 t | 2023 | up 113.3% | rising |
| 7 | Uzbekistan | 82 1000 t | 2023 | down 38.3% | falling |
| 8 | Greece | 43 1000 t | 2023 | up 30.3% | rising |
| 9 | Argentina | 32 1000 t | 2023 | up 45.5% | rising |
| 10 | Turkmenistan | 31 1000 t | 2023 | up 3.3% | flat |
| 11 | Türkiye | 25 1000 t | 2023 | down 3.8% | flat |
| 11 | Turkey | 25 1000 t | 2023 | down 3.8% | flat |
| 13 | Cameroon | 21 1000 t | 2023 | up 75.0% | rising |
| 14 | Australia and New Zealand | 11 1000 t | 2023 | down 21.4% | falling |
| 14 | Australia | 11 1000 t | 2023 | down 21.4% | falling |
| 16 | Nigeria | 10 1000 t | 2023 | down 16.7% | flat |
| 17 | Côte d'Ivoire | 9 1000 t | 2023 | up 12.5% | rising |
| 17 | Cote d'Ivoire | 9 1000 t | 2023 | up 12.5% | rising |
| 19 | United Republic of Tanzania | 8 1000 t | 2023 | up 14.3% | rising |
| 20 | Tajikistan | 7 1000 t | 2023 | down 22.2% | falling |
| 21 | Azerbaijan | 5 1000 t | 2023 | up 150.0% | rising |
| 22 | Burkina Faso | 4 1000 t | 2023 | down 20.0% | rising |
| 23 | Myanmar | 3 1000 t | 2023 | down 25.0% | falling |
| 23 | Guinea | 3 1000 t | 2023 | unchanged | rising |
| 23 | Syrian Arab Republic | 3 1000 t | 2023 | down 75.0% | volatile |
| 23 | Democratic Republic of the Congo | 3 1000 t | 2023 | unchanged | flat |
| 23 | Mexico | 3 1000 t | 2023 | down 25.0% | flat |
| 23 | Syria | 3 1000 t | 2023 | down 75.0% | volatile |
| 29 | Malawi | 2 1000 t | 2023 | down 66.7% | volatile |
| 29 | Paraguay | 2 1000 t | 2023 | down 33.3% | rising |
| 29 | Senegal | 2 1000 t | 2023 | down 50.0% | falling |
| 29 | Kyrgyzstan | 2 1000 t | 2023 | unchanged | falling |
| 29 | Uganda | 2 1000 t | 2023 | up 100.0% | rising |
| 29 | Kazakhstan | 2 1000 t | 2023 | unchanged | flat |
| 29 | Egypt | 2 1000 t | 2023 | unchanged | falling |
| 36 | Bangladesh | 1 1000 t | 2023 | — | volatile |
| 36 | Afghanistan | 1 1000 t | 2023 | unchanged | rising |
| 36 | Democratic People's Republic of Korea | 1 1000 t | 2018 | unchanged | flat |
| 36 | Iran (Islamic Republic of) | 1 1000 t | 2023 | down 50.0% | falling |
| 36 | Zimbabwe | 1 1000 t | 2023 | down 66.7% | falling |
| 36 | Zambia | 1 1000 t | 2023 | down 50.0% | falling |
| 36 | South Africa | 1 1000 t | 2023 | — | volatile |
| 36 | Israel | 1 1000 t | 2023 | unchanged | volatile |
| 36 | Tunisia | 1 1000 t | 2023 | — | volatile |
| 36 | Peru | 1 1000 t | 2023 | unchanged | falling |
| 36 | Ethiopia | 1 1000 t | 2023 | down 50.0% | falling |
| 36 | Mozambique | 1 1000 t | 2023 | down 50.0% | falling |
| 48 | Ghana | 0 1000 t | 2023 | — | volatile |
| 48 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | volatile |
| 48 | Iraq | 0 1000 t | 2023 | — | volatile |
| 48 | Kenya | 0 1000 t | 2023 | — | volatile |
| 48 | Spain | 0 1000 t | 2023 | down 100.0% | falling |
| 48 | Colombia | 0 1000 t | 2023 | down 100.0% | volatile |
| 48 | Yemen | 0 1000 t | 2023 | down 100.0% | volatile |
| 48 | Bolivia (Plurinational State of) | 0 1000 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 1,106 1000 t
- Asia 617 1000 t
- Southern Asia 264 1000 t
- Low Income Food Deficit Countries (LIFDCs) 257 1000 t
- Net Food Importing Developing Countries (NFIDCs) 255 1000 t
- Americas 249 1000 t
- Land Locked Developing Countries (LLDCs) 209 1000 t
- Eastern Asia 192 1000 t
- Africa 186 1000 t
- Least Developed Countries (LDCs) 145 1000 t
- South America 132 1000 t
- Central Asia 123 1000 t
- Western Africa 119 1000 t
- Northern America 114 1000 t
- United States of America 114 1000 t
- Europe 43 1000 t
- Southern Europe 43 1000 t
- European Union (27) 43 1000 t
- Western Asia 35 1000 t
- Middle Africa 32 1000 t
- Eastern Africa 19 1000 t
- Northern Africa 14 1000 t
- Oceania 11 1000 t
- Central America 4 1000 t
- South-Eastern Asia 3 1000 t
- Small island developing States (SIDS) 1 1000 t
- Southern Africa 1 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.