Cottonseed Cake — Feed 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 — Feed is currently reported for 135 countries. The highest value is 2.88 million t in India; the lowest is 0 t in Netherlands (Kingdom of the).
The median across all reporting countries is 2,951 t, and the mean is 100,470 t.
Over the past decade 54 countries rose and 54 fell. The largest increase was in Oman (up 63,955.0%), and the largest decrease in Azerbaijan (down 100.0%).
Cottonseed Cake — Feed: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 2.88 million t | 2013 | up 140.5% | volatile |
| 2 | China, mainland | 2.32 million t | 2013 | up 22.6% | volatile |
| 3 | USSR | 1.68 million t | 1991 | down 10.1% | rising |
| 4 | Pakistan | 1.26 million t | 2013 | up 23.4% | volatile |
| 5 | Brazil | 966,269 t | 2013 | up 25.6% | rising |
| 6 | Uzbekistan | 616,070 t | 2013 | up 8.7% | falling |
| 7 | T�rkiye | 555,928 t | 2013 | up 1.4% | volatile |
| 8 | Australia | 485,319 t | 2013 | up 124.9% | volatile |
| 8 | Australia and New Zealand | 485,319 t | 2013 | up 124.9% | volatile |
| 10 | Mexico | 279,413 t | 2013 | up 26.9% | falling |
| 11 | Turkmenistan | 250,250 t | 2013 | up 229.7% | rising |
| 12 | Myanmar | 130,853 t | 2013 | up 181.0% | volatile |
| 13 | Mali | 127,701 t | 2013 | up 19.0% | volatile |
| 14 | Burkina Faso | 111,380 t | 2013 | up 36.4% | volatile |
| 15 | Republic of Korea | 106,575 t | 2013 | down 18.5% | volatile |
| 16 | C�te d'Ivoire | 82,769 t | 2013 | up 52.9% | volatile |
| 17 | Iran (Islamic Republic of) | 77,000 t | 2013 | down 49.8% | rising |
| 18 | Italy | 70,853 t | 2013 | down 35.5% | volatile |
| 19 | Cameroon | 63,630 t | 2013 | up 4.3% | volatile |
| 20 | Egypt | 58,822 t | 2013 | down 55.1% | falling |
| 21 | Greece | 56,351 t | 2013 | down 67.2% | volatile |
| 22 | Kazakhstan | 54,944 t | 2013 | down 33.8% | falling |
| 23 | Saudi Arabia | 49,310 t | 2013 | up 81.5% | volatile |
| 24 | Spain | 48,323 t | 2013 | down 59.9% | rising |
| 25 | Argentina | 43,368 t | 2013 | up 222.7% | volatile |
| 26 | Nigeria | 40,600 t | 2013 | up 24.5% | volatile |
| 27 | Tajikistan | 39,150 t | 2013 | down 46.6% | falling |
| 28 | Ethiopia | 35,265 t | 2013 | up 82.9% | rising |
| 29 | United Republic of Tanzania | 32,796 t | 2013 | down 15.2% | volatile |
| 30 | Malawi | 31,965 t | 2013 | up 482.0% | volatile |
| 31 | Bolivia (Plurinational State of) | 30,853 t | 2013 | up 10.9% | volatile |
| 32 | Kenya | 29,037 t | 2013 | up 21.8% | volatile |
| 33 | Benin | 26,564 t | 2013 | down 42.4% | volatile |
| 34 | Mozambique | 23,357 t | 2013 | up 50.7% | volatile |
| 35 | Zimbabwe | 23,297 t | 2013 | down 67.5% | volatile |
| 36 | Peru | 23,096 t | 2013 | down 22.2% | falling |
| 37 | Uruguay | 22,042 t | 2013 | up 15,989.1% | volatile |
| 38 | Chad | 20,129 t | 2013 | down 41.8% | volatile |
| 39 | Sudan (former) | 17,875 t | 2011 | down 73.5% | volatile |
| 40 | Bangladesh | 17,686 t | 2013 | up 23.6% | volatile |
| 41 | United Arab Emirates | 16,558 t | 2013 | up 3,861.2% | volatile |
| 42 | Kyrgyzstan | 16,457 t | 2013 | up 63.7% | rising |
| 43 | Paraguay | 15,513 t | 2013 | down 38.6% | volatile |
| 44 | Togo | 14,634 t | 2013 | up 78.0% | volatile |
| 45 | Portugal | 14,242 t | 2013 | up 6.3% | volatile |
| 46 | Colombia | 13,436 t | 2013 | down 46.0% | volatile |
| 47 | Lebanon | 13,090 t | 2013 | up 17.9% | falling |
| 48 | Oman | 12,811 t | 2013 | up 63,955.0% | volatile |
| 49 | Japan | 12,267 t | 2013 | down 51.7% | volatile |
| 50 | Uganda | 12,038 t | 2013 | down 53.9% | volatile |
| 51 | Namibia | 11,850 t | 2013 | up 1,842.6% | volatile |
| 52 | Zambia | 11,795 t | 2013 | down 3.9% | volatile |
| 53 | Afghanistan | 11,769 t | 2013 | up 27.7% | falling |
| 54 | Democratic People's Republic of Korea | 11,223 t | 2013 | up 6.7% | volatile |
| 55 | Iraq | 9,832 t | 2013 | down 0.6% | volatile |
| 56 | Ethiopia PDR | 9,350 t | 1992 | down 42.5% | volatile |
| 57 | Israel | 9,045 t | 2013 | down 31.8% | volatile |
| 58 | Yemen | 6,228 t | 2013 | down 36.5% | volatile |
| 59 | Niger | 5,903 t | 2013 | up 1.1% | volatile |
| 60 | Senegal | 5,543 t | 2013 | down 51.9% | volatile |
| 61 | Canada | 4,608 t | 2013 | up 646.8% | volatile |
| 62 | Madagascar | 3,934 t | 2013 | up 14.7% | volatile |
| 63 | China, Taiwan Province of | 3,811 t | 2013 | up 480.1% | volatile |
| 64 | Rwanda | 3,667 t | 2013 | up 2,905.7% | volatile |
| 65 | Chile | 3,633 t | 2013 | down 45.0% | volatile |
| 66 | Ireland | 3,500 t | 2013 | down 84.4% | volatile |
| 67 | Thailand | 3,045 t | 2013 | up 12.2% | volatile |
| 68 | Venezuela (Bolivarian Republic of) | 2,951 t | 2013 | up 17.0% | volatile |
| 69 | Lao People's Democratic Republic | 2,366 t | 2013 | up 35.0% | volatile |
| 70 | Eswatini | 2,072 t | 2013 | up 808.8% | volatile |
| 71 | Ecuador | 1,934 t | 2013 | up 57.9% | volatile |
| 72 | Botswana | 1,615 t | 2013 | up 279.1% | falling |
| 73 | Hungary | 1,528 t | 2013 | down 35.0% | volatile |
| 74 | Angola | 1,316 t | 2013 | up 97.6% | volatile |
| 75 | Austria | 1,024 t | 2013 | down 47.7% | volatile |
| 76 | Honduras | 791 t | 2013 | up 50.1% | volatile |
| 77 | France | 579 t | 2013 | down 95.9% | volatile |
| 78 | Belgium-Luxembourg | 575 t | 1999 | down 98.1% | volatile |
| 79 | Nicaragua | 551 t | 2013 | down 30.0% | volatile |
| 80 | Mauritania | 518 t | 2013 | — | volatile |
| 81 | Albania | 424 t | 2013 | up 75.2% | volatile |
| 82 | Bulgaria | 371 t | 2013 | up 307.7% | volatile |
| 83 | Caribbean | 339 t | 2013 | down 97.4% | volatile |
| 84 | Mauritius | 322 t | 2013 | down 80.6% | volatile |
| 85 | El Salvador | 279 t | 2013 | up 1,228.6% | volatile |
| 86 | Haiti | 250 t | 2013 | down 29.0% | volatile |
| 87 | Malta | 225 t | 2013 | down 67.3% | volatile |
| 88 | Slovakia | 222 t | 2013 | — | volatile |
| 89 | Yugoslav SFR | 126 t | 1991 | down 29.2% | volatile |
| 90 | Sri Lanka | 116 t | 2013 | — | volatile |
| 91 | Germany | 100 t | 2013 | down 28.6% | volatile |
| 92 | Morocco | 75 t | 2013 | down 99.0% | volatile |
| 93 | Guatemala | 63 t | 2013 | down 92.1% | volatile |
| 94 | Dominican Republic | 58 t | 2013 | up 5,700.0% | volatile |
| 95 | Slovenia | 21 t | 2013 | up 950.0% | volatile |
| 96 | Czechoslovakia | 20 t | 1992 | down 99.8% | volatile |
| 97 | United Kingdom of Great Britain and Northern Ireland | 19 t | 2013 | down 99.9% | volatile |
| 98 | Antigua and Barbuda | 18 t | 2013 | up 5.9% | volatile |
| 99 | Indonesia | 14 t | 2013 | down 99.4% | volatile |
| 99 | Philippines | 14 t | 2013 | down 90.5% | volatile |
| 101 | Grenada | 12 t | 2013 | up 50.0% | falling |
| 102 | Poland | 6 t | 2013 | — | volatile |
| 103 | Romania | 4 t | 2013 | — | volatile |
| 104 | Costa Rica | 3 t | 2013 | down 95.7% | volatile |
| 105 | Gambia | 1 t | 2013 | down 75.0% | volatile |
| 105 | Saint Kitts and Nevis | 1 t | 2013 | — | volatile |
| 107 | Azerbaijan | 0 t | 2013 | down 100.0% | volatile |
| 107 | Belgium | 0 t | 2013 | down 100.0% | volatile |
| 107 | Bahamas | 0 t | 2013 | — | volatile |
| 107 | Switzerland | 0 t | 2013 | — | volatile |
| 107 | Cuba | 0 t | 2013 | down 100.0% | volatile |
| 107 | Cyprus | 0 t | 2013 | — | volatile |
| 107 | Denmark | 0 t | 2013 | — | volatile |
| 107 | Algeria | 0 t | 2013 | — | volatile |
| 107 | Estonia | 0 t | 2013 | — | volatile |
| 107 | Finland | 0 t | 2013 | down 100.0% | volatile |
| 107 | Gabon | 0 t | 2013 | — | volatile |
| 107 | Ghana | 0 t | 2013 | — | volatile |
| 107 | Jordan | 0 t | 2013 | down 100.0% | volatile |
| 107 | Lithuania | 0 t | 2013 | — | volatile |
| 107 | Latvia | 0 t | 2013 | — | volatile |
| 107 | North Macedonia | 0 t | 2013 | down 100.0% | volatile |
| 107 | Mongolia | 0 t | 2013 | — | volatile |
| 107 | Malaysia | 0 t | 2013 | — | volatile |
| 107 | New Caledonia | 0 t | 2013 | — | volatile |
| 107 | Norway | 0 t | 2013 | — | volatile |
| 107 | Nepal | 0 t | 2013 | — | volatile |
| 107 | Panama | 0 t | 2013 | — | volatile |
| 107 | Sweden | 0 t | 2013 | down 100.0% | volatile |
| 107 | Trinidad and Tobago | 0 t | 2013 | — | volatile |
| 107 | Saint Vincent and the Grenadines | 0 t | 2013 | — | volatile |
| 107 | Melanesia | 0 t | 2013 | — | volatile |
| 107 | Republic of Moldova | 0 t | 2013 | — | volatile |
| 107 | Russian Federation | 0 t | 2013 | — | volatile |
| 107 | Netherlands (Kingdom of the) | 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 12.46 million t
- Asia 8.49 million t
- Low Income Food Deficit Countries 5.57 million t
- Southern Asia 4.25 million t
- Eastern Asia 2.46 million t
- Americas 2.32 million t
- Net Food Importing Developing Countries 2.13 million t
- Land Locked Developing Countries 1.43 million t
- South America 1.12 million t
- Central Asia 976,871 t
- Africa 965,893 t
- Northern America 916,162 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.