Cottonseed — Other uses (non-food) by country
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 — Other uses (non-food) is currently reported for 64 countries. The highest value is 416,441 t in Brazil; the lowest is 0 t in Finland.
The median across all reporting countries is 33.5 t, and the mean is 21,886 t.
Over the past decade 18 countries rose and 22 fell. The largest increase was in Central African Republic (up 2,397.5%), and the largest decrease in Venezuela (Bolivarian Republic of) (down 100.0%).
Cottonseed — Other uses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Brazil | 416,441 t | 2013 | up 127.0% | volatile |
| 2 | Pakistan | 297,219 t | 2013 | down 4.6% | volatile |
| 3 | Argentina | 175,161 t | 2013 | up 270.1% | volatile |
| 3 | Iran (Islamic Republic of) | 35,879 t | 2013 | down 14.6% | volatile |
| 4 | Greece | 127,361 t | 2013 | up 113.7% | volatile |
| 5 | Mexico | 94,632 t | 2013 | down 8.1% | volatile |
| 5 | Viet Nam | 864 t | 2013 | down 90.8% | volatile |
| 6 | Mali | 80,746 t | 2013 | up 134.5% | volatile |
| 6 | Bolivia (Plurinational State of) | 0 t | 2013 | — | volatile |
| 6 | Venezuela (Bolivarian Republic of) | 0 t | 2013 | down 100.0% | volatile |
| 7 | Benin | 66,378 t | 2013 | up 1,044.8% | volatile |
| 8 | Cameroon | 25,984 t | 2013 | up 357.0% | volatile |
| 9 | Guinea | 19,394 t | 2013 | down 0.1% | volatile |
| 10 | United Arab Emirates | 13,751 t | 2013 | up 334.6% | volatile |
| 11 | Canada | 10,004 t | 2013 | up 172.7% | volatile |
| 12 | Zimbabwe | 8,530 t | 2013 | up 878.2% | volatile |
| 13 | Malaysia | 8,186 t | 2013 | — | volatile |
| 14 | Central African Republic | 7,992 t | 2013 | up 2,397.5% | volatile |
| 15 | Nigeria | 3,465 t | 2013 | down 97.5% | volatile |
| 16 | Guinea-Bissau | 2,500 t | 2013 | down 11.8% | volatile |
| 17 | Czechia | 1,827 t | 2013 | up 10.0% | volatile |
| 18 | Ghana | 1,383 t | 2013 | up 343.3% | volatile |
| 19 | Togo | 921 t | 2013 | up 32.1% | volatile |
| 20 | Chad | 530 t | 2013 | down 24.9% | volatile |
| 21 | Oman | 329 t | 2013 | down 54.2% | volatile |
| 21 | Caribbean | 68.34 t | 2013 | up 7.9% | volatile |
| 22 | Gambia | 284 t | 2013 | up 10.1% | volatile |
| 23 | Jordan | 172 t | 2013 | — | volatile |
| 24 | Denmark | 168 t | 2013 | — | volatile |
| 25 | Cambodia | 164 t | 2013 | down 1.2% | volatile |
| 26 | Kuwait | 99 t | 2013 | down 17.5% | volatile |
| 27 | Croatia | 72 t | 2013 | up 1,100.0% | volatile |
| 28 | Antigua and Barbuda | 63.34 t | 2013 | unchanged | volatile |
| 29 | Panama | 34 t | 2013 | — | volatile |
| 30 | Algeria | 33 t | 2013 | up 266.7% | volatile |
| 31 | Austria | 20 t | 2013 | up 150.0% | volatile |
| 32 | Brunei Darussalam | 18 t | 2013 | — | volatile |
| 33 | Netherlands (Kingdom of the) | 5 t | 2013 | down 96.4% | volatile |
| 33 | Barbados | 5 t | 2013 | — | volatile |
| 35 | Ireland | 2 t | 2013 | down 99.1% | volatile |
| 36 | North Macedonia | 1 t | 2013 | — | volatile |
| 37 | Belgium-Luxembourg | 0 t | 1999 | down 100.0% | volatile |
| 37 | United Kingdom of Great Britain and Northern Ireland | 0 t | 2013 | — | volatile |
| 37 | C�te d'Ivoire | 0 t | 2013 | — | volatile |
| 37 | Bosnia and Herzegovina | 0 t | 2013 | — | volatile |
| 37 | Luxembourg | 0 t | 2013 | down 100.0% | volatile |
| 37 | China, mainland | 0 t | 2013 | — | volatile |
| 37 | Australia and New Zealand | 0 t | 2013 | — | volatile |
| 37 | Kyrgyzstan | 0 t | 2013 | down 100.0% | volatile |
| 37 | Sweden | 0 t | 2013 | — | volatile |
| 37 | Malta | 0 t | 2013 | down 100.0% | volatile |
| 37 | Switzerland | 0 t | 2013 | — | volatile |
| 37 | Colombia | 0 t | 2013 | down 100.0% | volatile |
| 37 | China, Hong Kong SAR | 0 t | 2013 | — | volatile |
| 37 | Mongolia | 0 t | 2013 | — | volatile |
| 37 | Germany | 0 t | 2013 | down 100.0% | volatile |
| 37 | Mauritania | 0 t | 2013 | — | volatile |
| 37 | Mauritius | 0 t | 2013 | — | volatile |
| 37 | Norway | 0 t | 2013 | — | volatile |
| 37 | New Zealand | 0 t | 2013 | — | volatile |
| 37 | Slovenia | 0 t | 2013 | — | volatile |
| 37 | Israel | 0 t | 2013 | — | volatile |
| 37 | Egypt | 0 t | 2013 | down 100.0% | volatile |
| 37 | Finland | 0 t | 2013 | 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 1.40 million t
- Asia 356,681 t
- Americas 696,340 t
- Land Locked Developing Countries 97,799 t
- South America 591,602 t
- Low Income Food Deficit Countries 515,326 t
- Middle Africa 34,506 t
- Net Food Importing Developing Countries 476,368 t
- Southern Asia 333,098 t
- Africa 218,140 t
- Least developed countries 178,909 t
- Western Africa 175,071 t
- Europe 129,456 t
- European Union (27) 129,455 t
- Southern Europe 127,434 t
- Central America 94,666 t
- Western Asia 14,351 t
- Northern America 10,004 t
- South-Eastern Asia 9,232 t
- Eastern Africa 8,530 t
- Small Island Developing States 2,568 t
- Eastern Europe 1,827 t
- Northern Europe 170 t
- Northern Africa 33 t
- Western Europe 25 t
- Oceania 0 t
- Eastern Asia 0 t
- Central Asia 0 t
About this data
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 caput 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.