Cottonseed Cake — Export Quantity 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 Cake — Export Quantity is currently reported for 102 countries. The highest value is 91,906 t in China, mainland; the lowest is 0 t in Ethiopia PDR.
The median across all reporting countries is 0 t, and the mean is 5,805 t.
Over the past decade 14 countries rose and 37 fell. The largest increase was in Malawi (up 12,046.0%), and the largest decrease in Afghanistan (down 100.0%).
Cottonseed Cake — Export Quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China, mainland | 91,906 t | 2013 | down 3.4% | volatile |
| 2 | United Republic of Tanzania | 66,627 t | 2013 | up 126.2% | flat |
| 3 | Uzbekistan | 50,000 t | 2013 | down 28.3% | rising |
| 4 | India | 43,662 t | 2013 | up 3,052.5% | volatile |
| 5 | Zimbabwe | 43,576 t | 2013 | up 678.1% | volatile |
| 6 | Australia | 40,220 t | 2013 | up 482.8% | volatile |
| 6 | Australia and New Zealand | 40,220 t | 2013 | up 482.8% | volatile |
| 8 | Benin | 31,936 t | 2013 | down 54.4% | volatile |
| 9 | Argentina | 24,791 t | 2013 | up 337.8% | volatile |
| 10 | Greece | 24,149 t | 2013 | up 590.8% | volatile |
| 11 | Malawi | 22,713 t | 2013 | up 12,046.0% | volatile |
| 12 | Burkina Faso | 22,661 t | 2013 | up 197.6% | volatile |
| 13 | Zambia | 22,253 t | 2013 | up 531.6% | volatile |
| 14 | Azerbaijan | 16,103 t | 2013 | up 1,640.9% | volatile |
| 15 | Uganda | 13,765 t | 2013 | — | volatile |
| 16 | Kazakhstan | 11,606 t | 2013 | — | volatile |
| 17 | Germany | 7,124 t | 2013 | — | volatile |
| 18 | Togo | 5,678 t | 2013 | up 102.1% | volatile |
| 19 | Russian Federation | 3,396 t | 2013 | — | volatile |
| 20 | Mozambique | 1,784 t | 2013 | down 61.7% | volatile |
| 21 | Belgium-Luxembourg | 1,757 t | 1999 | down 94.4% | volatile |
| 22 | T�rkiye | 1,457 t | 2013 | down 92.4% | volatile |
| 23 | C�te d'Ivoire | 1,072 t | 2013 | down 89.3% | volatile |
| 24 | USSR | 1,000 t | 1991 | — | volatile |
| 25 | Peru | 604 t | 2013 | down 40.5% | volatile |
| 26 | Pakistan | 519 t | 2013 | down 3.9% | volatile |
| 27 | Indonesia | 511 t | 2013 | up 882.7% | volatile |
| 28 | Belgium | 308 t | 2013 | down 97.7% | volatile |
| 29 | United Arab Emirates | 149 t | 2013 | — | volatile |
| 30 | Canada | 137 t | 2013 | — | volatile |
| 31 | Nigeria | 100 t | 2013 | down 99.2% | volatile |
| 32 | Austria | 96 t | 2013 | — | volatile |
| 33 | Spain | 76 t | 2013 | — | volatile |
| 34 | Chad | 71 t | 2013 | down 97.0% | volatile |
| 35 | Nepal | 51 t | 2013 | down 84.3% | volatile |
| 36 | Brazil | 24 t | 2013 | down 99.9% | volatile |
| 37 | Madagascar | 13 t | 2013 | up 160.0% | volatile |
| 38 | France | 8 t | 2013 | — | volatile |
| 39 | United Kingdom of Great Britain and Northern Ireland | 4 t | 2013 | down 93.3% | volatile |
| 40 | Afghanistan | 0 t | 2013 | down 100.0% | volatile |
| 40 | Angola | 0 t | 2013 | — | volatile |
| 40 | Albania | 0 t | 2013 | — | volatile |
| 40 | Bangladesh | 0 t | 2013 | — | volatile |
| 40 | Bulgaria | 0 t | 2013 | down 100.0% | volatile |
| 40 | Switzerland | 0 t | 2013 | — | volatile |
| 40 | Cameroon | 0 t | 2013 | — | volatile |
| 40 | Colombia | 0 t | 2013 | — | volatile |
| 40 | Costa Rica | 0 t | 2013 | — | volatile |
| 40 | Czechia | 0 t | 2013 | down 100.0% | volatile |
| 40 | Denmark | 0 t | 2013 | — | volatile |
| 40 | Dominican Republic | 0 t | 2013 | — | volatile |
| 40 | Ecuador | 0 t | 2013 | — | volatile |
| 40 | Egypt | 0 t | 2013 | down 100.0% | volatile |
| 40 | Estonia | 0 t | 2013 | — | volatile |
| 40 | Ethiopia | 0 t | 2013 | — | volatile |
| 40 | Finland | 0 t | 2013 | — | volatile |
| 40 | Guatemala | 0 t | 2013 | down 100.0% | volatile |
| 40 | Honduras | 0 t | 2013 | — | volatile |
| 40 | Haiti | 0 t | 2013 | — | volatile |
| 40 | Ireland | 0 t | 2013 | down 100.0% | volatile |
| 40 | Iraq | 0 t | 2013 | down 100.0% | volatile |
| 40 | Israel | 0 t | 2013 | — | volatile |
| 40 | Italy | 0 t | 2013 | — | volatile |
| 40 | Jordan | 0 t | 2013 | down 100.0% | volatile |
| 40 | Japan | 0 t | 2013 | down 100.0% | volatile |
| 40 | Kenya | 0 t | 2013 | down 100.0% | volatile |
| 40 | Kyrgyzstan | 0 t | 2013 | down 100.0% | volatile |
| 40 | Lebanon | 0 t | 2013 | down 100.0% | volatile |
| 40 | Sri Lanka | 0 t | 2013 | — | volatile |
| 40 | Lithuania | 0 t | 2013 | — | volatile |
| 40 | Morocco | 0 t | 2013 | — | volatile |
| 40 | Mexico | 0 t | 2013 | — | volatile |
| 40 | Mali | 0 t | 2013 | down 100.0% | volatile |
| 40 | Malta | 0 t | 2013 | — | volatile |
| 40 | Myanmar | 0 t | 2013 | — | volatile |
| 40 | Malaysia | 0 t | 2013 | — | volatile |
| 40 | Nicaragua | 0 t | 2013 | down 100.0% | volatile |
| 40 | New Zealand | 0 t | 2013 | — | volatile |
| 40 | Philippines | 0 t | 2013 | down 100.0% | volatile |
| 40 | Poland | 0 t | 2013 | — | volatile |
| 40 | Portugal | 0 t | 2013 | — | volatile |
| 40 | Paraguay | 0 t | 2013 | down 100.0% | volatile |
| 40 | Saudi Arabia | 0 t | 2013 | down 100.0% | volatile |
| 40 | Senegal | 0 t | 2013 | — | volatile |
| 40 | El Salvador | 0 t | 2013 | — | volatile |
| 40 | Slovakia | 0 t | 2013 | — | volatile |
| 40 | Sweden | 0 t | 2013 | — | volatile |
| 40 | Eswatini | 0 t | 2013 | — | volatile |
| 40 | Thailand | 0 t | 2013 | — | volatile |
| 40 | Ukraine | 0 t | 2013 | — | volatile |
| 40 | Uruguay | 0 t | 2013 | — | volatile |
| 40 | Yemen | 0 t | 2013 | — | volatile |
| 40 | Czechoslovakia | 0 t | 1992 | down 100.0% | volatile |
| 40 | Sudan (former) | 0 t | 2011 | down 100.0% | volatile |
| 40 | Caribbean | 0 t | 2013 | — | volatile |
| 40 | Bolivia (Plurinational State of) | 0 t | 2013 | — | volatile |
| 40 | Iran (Islamic Republic of) | 0 t | 2013 | — | volatile |
| 40 | Venezuela (Bolivarian Republic of) | 0 t | 2013 | — | volatile |
| 40 | Viet Nam | 0 t | 2013 | down 100.0% | volatile |
| 40 | China, Taiwan Province of | 0 t | 2013 | — | volatile |
| 40 | Netherlands (Kingdom of the) | 0 t | 2013 | down 100.0% | volatile |
| 40 | Ethiopia PDR | 0 t | 1992 | 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 647,212 t
- Low Income Food Deficit Countries 304,228 t
- Africa 232,465 t
- Asia 215,964 t
- Land Locked Developing Countries 202,799 t
- Net Food Importing Developing Countries 189,747 t
- Least Developed Countries 187,552 t
- Eastern Africa 170,731 t
- Americas 123,402 t
- Northern America 97,983 t
- United States of America 97,846 t
- Eastern Asia 91,906 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.