Cottonseed — 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 — Import Quantity is currently reported for 124 countries. The highest value is 151,601 t in Republic of Korea; the lowest is 0 t in Yugoslav SFR.
The median across all reporting countries is 29.5 t, and the mean is 7,764 t.
Over the past decade 23 countries rose and 44 fell. The largest increase was in Namibia (up 983,200.0%), and the largest decrease in Belgium (down 100.0%).
Cottonseed — Import Quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Republic of Korea | 151,601 t | 2013 | up 44.9% | volatile |
| 2 | China, mainland | 142,509 t | 2013 | up 593,688.0% | volatile |
| 3 | Italy | 135,556 t | 2013 | down 10.1% | volatile |
| 4 | Mexico | 118,372 t | 2013 | down 47.5% | volatile |
| 5 | Japan | 107,238 t | 2013 | down 31.6% | falling |
| 6 | Saudi Arabia | 81,673 t | 2013 | up 111.3% | volatile |
| 7 | Spain | 46,969 t | 2013 | down 71.6% | volatile |
| 8 | Malawi | 33,609 t | 2013 | up 801.8% | volatile |
| 9 | Mali | 31,441 t | 2013 | up 5,045.8% | volatile |
| 10 | T�rkiye | 20,403 t | 2013 | up 470.2% | volatile |
| 11 | United Arab Emirates | 13,753 t | 2013 | up 443.0% | volatile |
| 12 | Canada | 10,029 t | 2013 | up 173.4% | volatile |
| 13 | Namibia | 9,833 t | 2013 | up 983,200.0% | volatile |
| 14 | Benin | 9,000 t | 2013 | — | volatile |
| 15 | Malaysia | 8,186 t | 2013 | — | volatile |
| 16 | Nigeria | 6,700 t | 2013 | down 57.1% | volatile |
| 17 | Chile | 6,583 t | 2013 | up 121.7% | volatile |
| 18 | Greece | 3,569 t | 2013 | down 54.5% | volatile |
| 19 | Lebanon | 3,354 t | 2013 | — | volatile |
| 20 | Portugal | 2,440 t | 2013 | down 83.4% | volatile |
| 21 | Slovakia | 1,941 t | 2013 | — | volatile |
| 22 | Czechia | 1,923 t | 2013 | up 11.7% | volatile |
| 23 | Hungary | 1,554 t | 2013 | down 65.3% | volatile |
| 24 | Burkina Faso | 1,541 t | 2013 | down 44.9% | volatile |
| 25 | Kyrgyzstan | 1,490 t | 2013 | — | volatile |
| 26 | Kenya | 1,437 t | 2013 | up 36.5% | volatile |
| 27 | China, Taiwan Province of | 1,404 t | 2013 | down 62.5% | volatile |
| 28 | France | 1,068 t | 2013 | down 36.9% | volatile |
| 29 | Bulgaria | 826 t | 2013 | — | volatile |
| 30 | Cyprus | 676 t | 2013 | up 16,800.0% | volatile |
| 31 | Niger | 619 t | 2013 | down 67.5% | volatile |
| 32 | Israel | 594 t | 2013 | — | volatile |
| 33 | El Salvador | 456 t | 2013 | up 45,500.0% | volatile |
| 34 | Brazil | 338 t | 2013 | down 97.9% | volatile |
| 35 | Oman | 329 t | 2013 | down 54.2% | volatile |
| 36 | Zimbabwe | 298 t | 2013 | down 86.2% | volatile |
| 37 | Paraguay | 294 t | 2013 | down 74.0% | volatile |
| 38 | Iran (Islamic Republic of) | 288 t | 2013 | — | volatile |
| 39 | Colombia | 287 t | 2013 | down 63.2% | volatile |
| 40 | Ethiopia | 243 t | 2013 | — | volatile |
| 41 | Jordan | 172 t | 2013 | — | volatile |
| 42 | Denmark | 169 t | 2013 | — | volatile |
| 43 | Azerbaijan | 154 t | 2013 | — | volatile |
| 44 | United Republic of Tanzania | 145 t | 2013 | — | volatile |
| 45 | Australia | 133 t | 2013 | — | volatile |
| 45 | Australia and New Zealand | 133 t | 2013 | — | volatile |
| 47 | Dominican Republic | 121 t | 2013 | up 5,950.0% | volatile |
| 47 | Caribbean | 121 t | 2013 | up 5,950.0% | volatile |
| 49 | C�te d'Ivoire | 120 t | 2013 | up 11,900.0% | volatile |
| 50 | Peru | 100 t | 2013 | down 66.8% | volatile |
| 51 | Kuwait | 99 t | 2013 | down 17.5% | volatile |
| 52 | Venezuela (Bolivarian Republic of) | 90 t | 2013 | — | volatile |
| 53 | Estonia | 83 t | 2013 | — | volatile |
| 54 | Croatia | 72 t | 2013 | up 1,100.0% | volatile |
| 55 | Costa Rica | 71 t | 2013 | down 75.5% | volatile |
| 56 | India | 66 t | 2013 | up 135.7% | volatile |
| 56 | Uganda | 66 t | 2013 | — | volatile |
| 58 | Botswana | 62 t | 2013 | up 675.0% | volatile |
| 59 | Indonesia | 49 t | 2013 | up 226.7% | volatile |
| 60 | Morocco | 38 t | 2013 | — | volatile |
| 61 | Eswatini | 35 t | 2013 | up 775.0% | volatile |
| 62 | Panama | 34 t | 2013 | — | volatile |
| 63 | Albania | 25 t | 2013 | — | volatile |
| 64 | Netherlands (Kingdom of the) | 23 t | 2013 | down 98.8% | volatile |
| 65 | Austria | 20 t | 2013 | up 150.0% | volatile |
| 66 | Brunei Darussalam | 18 t | 2013 | — | volatile |
| 67 | Nepal | 12 t | 2013 | down 61.3% | volatile |
| 67 | Senegal | 12 t | 2013 | down 97.5% | volatile |
| 69 | Poland | 11 t | 2013 | — | volatile |
| 70 | Egypt | 10 t | 2013 | — | volatile |
| 71 | Ghana | 7 t | 2013 | — | volatile |
| 72 | Myanmar | 6 t | 2013 | down 77.8% | volatile |
| 72 | United Kingdom of Great Britain and Northern Ireland | 6 t | 2013 | down 99.8% | volatile |
| 74 | Ireland | 2 t | 2013 | down 99.2% | volatile |
| 75 | Argentina | 1 t | 2013 | down 50.0% | volatile |
| 75 | North Macedonia | 1 t | 2013 | — | volatile |
| 75 | Mozambique | 1 t | 2013 | — | volatile |
| 75 | Pakistan | 1 t | 2013 | — | volatile |
| 75 | Zambia | 1 t | 2013 | down 66.7% | volatile |
| 75 | Belgium-Luxembourg | 1 t | 1999 | — | volatile |
| 81 | Angola | 0 t | 2013 | — | volatile |
| 81 | Belgium | 0 t | 2013 | down 100.0% | volatile |
| 81 | Bangladesh | 0 t | 2013 | — | volatile |
| 81 | Bosnia and Herzegovina | 0 t | 2013 | — | volatile |
| 81 | Barbados | 0 t | 2013 | — | volatile |
| 81 | Switzerland | 0 t | 2013 | — | volatile |
| 81 | Cameroon | 0 t | 2013 | down 100.0% | volatile |
| 81 | Germany | 0 t | 2013 | down 100.0% | volatile |
| 81 | Algeria | 0 t | 2013 | down 100.0% | volatile |
| 81 | Ecuador | 0 t | 2013 | down 100.0% | volatile |
| 81 | Finland | 0 t | 2013 | down 100.0% | volatile |
| 81 | Guinea | 0 t | 2013 | down 100.0% | volatile |
| 81 | Gambia | 0 t | 2013 | down 100.0% | volatile |
| 81 | Guinea-Bissau | 0 t | 2013 | — | volatile |
| 81 | Guatemala | 0 t | 2013 | — | volatile |
| 81 | Honduras | 0 t | 2013 | — | volatile |
| 81 | Kazakhstan | 0 t | 2013 | down 100.0% | volatile |
| 81 | Cambodia | 0 t | 2013 | — | volatile |
| 81 | Luxembourg | 0 t | 2013 | down 100.0% | volatile |
| 81 | Madagascar | 0 t | 2013 | — | volatile |
| 81 | Malta | 0 t | 2013 | down 100.0% | volatile |
| 81 | Mongolia | 0 t | 2013 | — | volatile |
| 81 | Mauritania | 0 t | 2013 | — | volatile |
| 81 | Mauritius | 0 t | 2013 | — | volatile |
| 81 | Nicaragua | 0 t | 2013 | — | volatile |
| 81 | Norway | 0 t | 2013 | — | volatile |
| 81 | New Zealand | 0 t | 2013 | — | volatile |
| 81 | Philippines | 0 t | 2013 | down 100.0% | volatile |
| 81 | Romania | 0 t | 2013 | — | volatile |
| 81 | Rwanda | 0 t | 2013 | — | volatile |
| 81 | Slovenia | 0 t | 2013 | — | volatile |
| 81 | Sweden | 0 t | 2013 | — | volatile |
| 81 | Chad | 0 t | 2013 | — | volatile |
| 81 | Togo | 0 t | 2013 | — | volatile |
| 81 | Thailand | 0 t | 2013 | — | volatile |
| 81 | Tunisia | 0 t | 2013 | — | volatile |
| 81 | Uruguay | 0 t | 2013 | down 100.0% | volatile |
| 81 | Yemen | 0 t | 2013 | — | volatile |
| 81 | Czechoslovakia | 0 t | 1992 | — | volatile |
| 81 | Bolivia (Plurinational State of) | 0 t | 2013 | down 100.0% | volatile |
| 81 | China, Hong Kong SAR | 0 t | 2013 | — | volatile |
| 81 | Russian Federation | 0 t | 2013 | down 100.0% | volatile |
| 81 | Ethiopia PDR | 0 t | 1992 | — | volatile |
| 81 | Yugoslav SFR | 0 t | 1991 | 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 1.22 million t
- Asia 534,075 t
- Eastern Asia 402,752 t
- Americas 317,874 t
- European Union (27) 196,902 t
- Europe 196,258 t
- Northern America 191,127 t
- Southern Europe 188,632 t
- United States of America 181,098 t
- Africa 175,067 t
- Western Asia 121,207 t
- Central America 118,933 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.