Cottonseed Cake — Import 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 — Import Quantity is currently reported for 119 countries. The highest value is 143,113 t in Mexico; the lowest is 0 t in T�rkiye.
The median across all reporting countries is 10 t, and the mean is 3,723 t.
Over the past decade 25 countries rose and 40 fell. The largest increase was in Oman (up 63,955.0%), and the largest decrease in Belgium (down 100.0%).
Cottonseed Cake — Import Quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Mexico | 143,113 t | 2013 | up 25.8% | volatile |
| 2 | Iran (Islamic Republic of) | 35,000 t | 2013 | down 57.6% | volatile |
| 3 | Kenya | 24,814 t | 2013 | up 36.4% | volatile |
| 4 | New Zealand | 24,404 t | 2013 | up 60,910.0% | volatile |
| 4 | Australia and New Zealand | 24,404 t | 2013 | up 60,910.0% | volatile |
| 6 | Republic of Korea | 23,194 t | 2013 | down 68.4% | volatile |
| 7 | Uruguay | 22,042 t | 2013 | — | volatile |
| 8 | Uganda | 19,028 t | 2013 | up 980.5% | volatile |
| 9 | United Arab Emirates | 16,707 t | 2013 | up 3,896.9% | volatile |
| 10 | Oman | 12,811 t | 2013 | up 63,955.0% | volatile |
| 11 | Portugal | 12,364 t | 2013 | up 489.6% | volatile |
| 12 | Lebanon | 11,641 t | 2013 | down 17.4% | volatile |
| 13 | Mali | 11,601 t | 2013 | up 2,597.9% | volatile |
| 14 | Namibia | 10,732 t | 2013 | up 8,030.3% | volatile |
| 15 | C�te d'Ivoire | 7,714 t | 2013 | up 928.5% | volatile |
| 16 | Zimbabwe | 6,873 t | 2013 | up 2,787.8% | volatile |
| 17 | Canada | 4,745 t | 2013 | up 669.0% | volatile |
| 18 | China, Taiwan Province of | 3,811 t | 2013 | up 480.1% | volatile |
| 19 | Rwanda | 3,667 t | 2013 | up 2,905.7% | volatile |
| 20 | Ireland | 3,500 t | 2013 | down 85.0% | volatile |
| 21 | Niger | 2,954 t | 2013 | up 5.3% | volatile |
| 22 | Paraguay | 1,750 t | 2013 | — | volatile |
| 23 | Eswatini | 1,573 t | 2013 | up 3,246.8% | volatile |
| 24 | United Republic of Tanzania | 1,500 t | 2013 | — | volatile |
| 25 | Japan | 1,485 t | 2013 | down 84.4% | volatile |
| 26 | Botswana | 1,319 t | 2013 | up 5,176.0% | volatile |
| 27 | Ecuador | 1,186 t | 2013 | up 16.8% | volatile |
| 28 | Pakistan | 1,132 t | 2013 | up 3,044.4% | volatile |
| 29 | Austria | 1,120 t | 2013 | down 42.8% | volatile |
| 30 | Thailand | 920 t | 2013 | — | volatile |
| 31 | Hungary | 713 t | 2013 | — | volatile |
| 32 | Italy | 653 t | 2013 | down 98.1% | volatile |
| 33 | Mauritania | 518 t | 2013 | — | volatile |
| 34 | Belgium-Luxembourg | 332 t | 1999 | down 99.5% | volatile |
| 35 | Mauritius | 322 t | 2013 | down 80.6% | volatile |
| 36 | Burkina Faso | 307 t | 2013 | — | volatile |
| 37 | Germany | 306 t | 2013 | up 117.0% | volatile |
| 37 | Saudi Arabia | 306 t | 2013 | down 93.7% | volatile |
| 39 | India | 284 t | 2013 | — | volatile |
| 40 | Brazil | 282 t | 2013 | down 52.3% | volatile |
| 41 | Czechia | 259 t | 2013 | down 76.3% | volatile |
| 42 | Egypt | 237 t | 2013 | down 89.4% | volatile |
| 43 | Yemen | 226 t | 2013 | — | volatile |
| 44 | Malta | 225 t | 2013 | down 67.3% | volatile |
| 45 | Slovakia | 222 t | 2013 | — | volatile |
| 46 | Albania | 200 t | 2013 | up 1,233.3% | volatile |
| 47 | Sri Lanka | 116 t | 2013 | — | volatile |
| 48 | Kyrgyzstan | 63 t | 2013 | up 231.6% | volatile |
| 49 | Togo | 62 t | 2013 | up 87.9% | volatile |
| 50 | Malawi | 58 t | 2013 | — | volatile |
| 51 | Mozambique | 39 t | 2013 | down 96.8% | volatile |
| 51 | El Salvador | 39 t | 2013 | — | volatile |
| 53 | France | 34 t | 2013 | down 99.7% | volatile |
| 54 | Zambia | 30 t | 2013 | — | volatile |
| 55 | Slovenia | 21 t | 2013 | up 950.0% | volatile |
| 56 | Senegal | 20 t | 2013 | — | volatile |
| 56 | Czechoslovakia | 20 t | 1992 | down 99.8% | volatile |
| 58 | Yugoslav SFR | 11 t | 1991 | — | volatile |
| 59 | Spain | 10 t | 2013 | down 87.5% | volatile |
| 59 | Russian Federation | 10 t | 2013 | — | volatile |
| 61 | Gambia | 1 t | 2013 | down 75.0% | volatile |
| 62 | Argentina | 0 t | 2013 | — | volatile |
| 62 | Azerbaijan | 0 t | 2013 | — | volatile |
| 62 | Belgium | 0 t | 2013 | down 100.0% | volatile |
| 62 | Benin | 0 t | 2013 | — | volatile |
| 62 | Bangladesh | 0 t | 2013 | — | volatile |
| 62 | Bulgaria | 0 t | 2013 | — | volatile |
| 62 | Bahamas | 0 t | 2013 | — | volatile |
| 62 | Switzerland | 0 t | 2013 | — | volatile |
| 62 | Chile | 0 t | 2013 | down 100.0% | volatile |
| 62 | Cameroon | 0 t | 2013 | down 100.0% | volatile |
| 62 | Colombia | 0 t | 2013 | down 100.0% | volatile |
| 62 | Costa Rica | 0 t | 2013 | — | volatile |
| 62 | Cuba | 0 t | 2013 | down 100.0% | volatile |
| 62 | Cyprus | 0 t | 2013 | — | volatile |
| 62 | Denmark | 0 t | 2013 | — | volatile |
| 62 | Algeria | 0 t | 2013 | — | volatile |
| 62 | Estonia | 0 t | 2013 | — | volatile |
| 62 | Finland | 0 t | 2013 | down 100.0% | volatile |
| 62 | Gabon | 0 t | 2013 | — | volatile |
| 62 | Georgia | 0 t | 2013 | — | volatile |
| 62 | Ghana | 0 t | 2013 | — | volatile |
| 62 | Greece | 0 t | 2013 | down 100.0% | volatile |
| 62 | Guatemala | 0 t | 2013 | — | volatile |
| 62 | Honduras | 0 t | 2013 | — | volatile |
| 62 | Indonesia | 0 t | 2013 | down 100.0% | volatile |
| 62 | Israel | 0 t | 2013 | down 100.0% | volatile |
| 62 | Jordan | 0 t | 2013 | down 100.0% | volatile |
| 62 | Kazakhstan | 0 t | 2013 | — | volatile |
| 62 | Lithuania | 0 t | 2013 | — | volatile |
| 62 | Latvia | 0 t | 2013 | — | volatile |
| 62 | Morocco | 0 t | 2013 | down 100.0% | volatile |
| 62 | North Macedonia | 0 t | 2013 | down 100.0% | volatile |
| 62 | Mongolia | 0 t | 2013 | — | volatile |
| 62 | Malaysia | 0 t | 2013 | — | volatile |
| 62 | New Caledonia | 0 t | 2013 | — | volatile |
| 62 | Nigeria | 0 t | 2013 | — | volatile |
| 62 | Nicaragua | 0 t | 2013 | — | volatile |
| 62 | Norway | 0 t | 2013 | — | volatile |
| 62 | Nepal | 0 t | 2013 | down 100.0% | volatile |
| 62 | Panama | 0 t | 2013 | — | volatile |
| 62 | Peru | 0 t | 2013 | — | volatile |
| 62 | Philippines | 0 t | 2013 | down 100.0% | volatile |
| 62 | Poland | 0 t | 2013 | — | volatile |
| 62 | Romania | 0 t | 2013 | — | volatile |
| 62 | Sweden | 0 t | 2013 | down 100.0% | volatile |
| 62 | Trinidad and Tobago | 0 t | 2013 | — | volatile |
| 62 | USSR | 0 t | 1991 | down 100.0% | volatile |
| 62 | Melanesia | 0 t | 2013 | — | volatile |
| 62 | Caribbean | 0 t | 2013 | down 100.0% | volatile |
| 62 | Republic of Moldova | 0 t | 2013 | — | volatile |
| 62 | Venezuela (Bolivarian Republic of) | 0 t | 2013 | — | volatile |
| 62 | Viet Nam | 0 t | 2013 | down 100.0% | volatile |
| 62 | China, mainland | 0 t | 2013 | down 100.0% | volatile |
| 62 | Lao People's Democratic Republic | 0 t | 2013 | — | volatile |
| 62 | Netherlands (Kingdom of the) | 0 t | 2013 | down 100.0% | volatile |
| 62 | United Kingdom of Great Britain and Northern Ireland | 0 t | 2013 | down 100.0% | volatile |
| 62 | Democratic People's Republic of Korea | 0 t | 2013 | — | volatile |
| 62 | T�rkiye | 0 t | 2013 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 554,453 t
- Africa 229,559 t
- Americas 173,157 t
- Southern Africa 149,814 t
- Central America 143,152 t
- South Africa 136,190 t
- Asia 107,696 t
- Net Food Importing Developing Countries 88,009 t
- Low Income Food Deficit Countries 80,861 t
- Eastern Africa 56,331 t
- Land Locked Developing Countries 49,223 t
- Western Asia 41,691 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.