Cotton lint — 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
Cotton lint — Import Quantity is currently reported for 159 countries. The highest value is 4.15 million t in China, mainland; the lowest is 0 t in China, Macao SAR.
The median across all reporting countries is 210 t, and the mean is 59,659 t.
Over the past decade 38 countries rose and 97 fell. The largest increase was in Zimbabwe (up 39,409.5%), and the largest decrease in Belize (down 100.0%).
Cotton lint — Import Quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China, mainland | 4.15 million t | 2013 | up 376.6% | volatile |
| 2 | T�rkiye | 869,175 t | 2013 | up 56.4% | volatile |
| 2 | Viet Nam | 581,179 t | 2013 | up 545.8% | volatile |
| 3 | Indonesia | 672,197 t | 2013 | up 28.5% | volatile |
| 3 | Iran (Islamic Republic of) | 20,100 t | 2013 | up 1,944.8% | volatile |
| 4 | Bangladesh | 450,000 t | 2013 | up 218.1% | volatile |
| 5 | Pakistan | 375,741 t | 2013 | up 99.3% | volatile |
| 5 | Democratic People's Republic of Korea | 3,000 t | 2013 | up 12.5% | volatile |
| 6 | Thailand | 344,928 t | 2013 | down 15.5% | volatile |
| 6 | Venezuela (Bolivarian Republic of) | 2,490 t | 2013 | down 70.3% | volatile |
| 7 | Republic of Korea | 294,560 t | 2013 | down 4.7% | rising |
| 7 | Bolivia (Plurinational State of) | 544 t | 2013 | down 88.8% | volatile |
| 8 | Mexico | 238,622 t | 2013 | down 45.9% | volatile |
| 8 | Republic of Moldova | 73 t | 2013 | — | volatile |
| 9 | China, Taiwan Province of | 206,225 t | 2013 | down 12.0% | rising |
| 10 | India | 172,387 t | 2013 | down 28.7% | volatile |
| 10 | United Republic of Tanzania | 5 t | 2013 | down 80.8% | volatile |
| 11 | Malaysia | 112,302 t | 2013 | up 141.8% | volatile |
| 11 | Timor-Leste | 0 t | 2013 | — | volatile |
| 11 | Polynesia | 0 t | 2013 | — | volatile |
| 12 | Egypt | 70,866 t | 2013 | up 753.6% | volatile |
| 13 | Japan | 69,165 t | 2013 | down 65.3% | volatile |
| 14 | Russian Federation | 66,511 t | 2013 | down 76.8% | volatile |
| 15 | Czechoslovakia | 60,085 t | 1992 | down 52.3% | flat |
| 16 | China, Hong Kong SAR | 60,000 t | 2013 | down 27.8% | falling |
| 17 | Peru | 57,730 t | 2013 | up 44.1% | volatile |
| 18 | Germany | 53,051 t | 2013 | down 46.0% | volatile |
| 19 | Belgium-Luxembourg | 52,790 t | 1999 | up 8.5% | falling |
| 20 | Italy | 48,071 t | 2013 | down 80.3% | falling |
| 21 | South Africa | 41,605 t | 2013 | down 42.3% | rising |
| 22 | Portugal | 37,895 t | 2013 | down 60.8% | falling |
| 23 | Morocco | 35,342 t | 2013 | up 1.1% | volatile |
| 24 | Colombia | 33,040 t | 2013 | down 48.8% | volatile |
| 24 | Caribbean | 2,161 t | 2013 | down 19.8% | volatile |
| 25 | Yugoslav SFR | 31,000 t | 1991 | down 68.9% | rising |
| 26 | El Salvador | 29,557 t | 2013 | up 33.0% | volatile |
| 27 | Guatemala | 23,930 t | 2013 | up 66.7% | volatile |
| 28 | Mauritius | 21,606 t | 2013 | up 85.5% | volatile |
| 29 | Brazil | 17,400 t | 2013 | down 85.4% | volatile |
| 29 | Cabo Verde | 0 t | 2013 | — | volatile |
| 30 | France | 16,430 t | 2013 | down 76.1% | volatile |
| 31 | Ecuador | 15,064 t | 2013 | up 5.7% | volatile |
| 32 | USSR | 15,000 t | 1991 | down 32.1% | falling |
| 33 | Belarus | 13,876 t | 2013 | up 117.0% | falling |
| 34 | Belgium | 13,467 t | 2013 | down 69.3% | volatile |
| 35 | Philippines | 10,685 t | 2013 | down 62.6% | falling |
| 36 | Tunisia | 9,969 t | 2013 | down 50.8% | volatile |
| 37 | Zimbabwe | 8,297 t | 2013 | up 39,409.5% | volatile |
| 38 | Austria | 6,085 t | 2013 | down 71.6% | falling |
| 39 | United Arab Emirates | 4,812 t | 2013 | down 38.0% | volatile |
| 40 | Bulgaria | 4,658 t | 2013 | down 74.3% | volatile |
| 41 | Ethiopia PDR | 4,600 t | 1992 | — | volatile |
| 42 | Argentina | 4,380 t | 2013 | down 92.7% | volatile |
| 43 | Czechia | 4,004 t | 2013 | down 92.4% | volatile |
| 44 | Netherlands (Kingdom of the) | 3,856 t | 2013 | up 41.4% | volatile |
| 45 | Switzerland | 3,469 t | 2013 | down 82.1% | volatile |
| 46 | Greece | 3,320 t | 2013 | up 3.4% | volatile |
| 47 | Algeria | 3,307 t | 2013 | down 83.2% | volatile |
| 48 | Bosnia and Herzegovina | 3,240 t | 2013 | up 386.5% | volatile |
| 49 | Poland | 3,239 t | 2013 | down 93.3% | volatile |
| 50 | Honduras | 3,144 t | 2013 | up 502.3% | volatile |
| 51 | Spain | 3,025 t | 2013 | down 85.2% | volatile |
| 52 | Afghanistan | 2,280 t | 2013 | — | volatile |
| 53 | Cuba | 1,865 t | 2013 | down 6.6% | volatile |
| 54 | Myanmar | 1,837 t | 2013 | up 702.2% | volatile |
| 55 | Nepal | 1,802 t | 2013 | up 14.4% | volatile |
| 56 | Serbia and Montenegro | 1,718 t | 2005 | — | volatile |
| 57 | Ukraine | 1,669 t | 2013 | — | volatile |
| 58 | Ethiopia | 1,340 t | 2013 | — | volatile |
| 59 | Djibouti | 1,251 t | 2013 | — | volatile |
| 60 | Slovenia | 1,155 t | 2013 | down 90.0% | volatile |
| 61 | Serbia | 1,076 t | 2013 | down 59.3% | volatile |
| 62 | Eswatini | 1,032 t | 2013 | down 60.0% | volatile |
| 63 | Sri Lanka | 1,020 t | 2013 | down 79.2% | volatile |
| 64 | Hungary | 900 t | 2013 | down 90.2% | volatile |
| 65 | Romania | 761 t | 2013 | down 96.5% | volatile |
| 66 | Canada | 705 t | 2013 | down 99.0% | falling |
| 66 | Latvia | 705 t | 2013 | down 78.3% | volatile |
| 68 | North Macedonia | 683 t | 2013 | down 46.8% | volatile |
| 69 | United Kingdom of Great Britain and Northern Ireland | 524 t | 2013 | down 97.1% | volatile |
| 70 | Lebanon | 382 t | 2013 | down 25.1% | volatile |
| 71 | Ireland | 326 t | 2013 | up 7.6% | volatile |
| 72 | Ghana | 300 t | 2013 | down 80.4% | volatile |
| 73 | Saudi Arabia | 215 t | 2013 | down 83.6% | volatile |
| 74 | Paraguay | 210 t | 2013 | up 46.9% | volatile |
| 75 | Denmark | 153 t | 2013 | up 61.1% | volatile |
| 76 | Haiti | 144 t | 2013 | — | volatile |
| 77 | Dominican Republic | 120 t | 2013 | down 79.6% | volatile |
| 78 | Uzbekistan | 100 t | 2013 | down 90.0% | volatile |
| 79 | Uruguay | 98 t | 2013 | down 55.5% | volatile |
| 80 | Croatia | 86 t | 2013 | down 95.9% | volatile |
| 81 | Kenya | 80 t | 2013 | down 95.6% | volatile |
| 82 | Botswana | 76 t | 2013 | up 137.5% | volatile |
| 83 | Armenia | 66 t | 2013 | up 266.7% | volatile |
| 84 | Kuwait | 65 t | 2013 | up 2,066.7% | volatile |
| 84 | Oman | 65 t | 2013 | up 27.5% | volatile |
| 86 | Senegal | 64 t | 2013 | up 392.3% | volatile |
| 87 | Cambodia | 49 t | 2013 | down 98.9% | volatile |
| 87 | Norway | 49 t | 2013 | down 31.0% | volatile |
| 89 | Cameroon | 47 t | 2013 | up 176.5% | volatile |
| 90 | Chile | 42 t | 2013 | down 99.7% | falling |
| 91 | Namibia | 39 t | 2013 | down 87.2% | volatile |
| 92 | Sweden | 37 t | 2013 | down 98.2% | volatile |
| 93 | Finland | 31 t | 2013 | down 3.1% | volatile |
| 94 | Israel | 28 t | 2013 | down 97.8% | volatile |
| 94 | Lithuania | 28 t | 2013 | down 99.6% | volatile |
| 96 | Zambia | 26 t | 2013 | down 98.7% | volatile |
| 97 | Mauritania | 25 t | 2013 | — | volatile |
| 97 | Slovakia | 25 t | 2013 | down 99.6% | volatile |
| 99 | Trinidad and Tobago | 21 t | 2013 | — | volatile |
| 100 | Nigeria | 20 t | 2013 | down 99.2% | volatile |
| 101 | Uganda | 19 t | 2013 | down 68.9% | volatile |
| 102 | Jordan | 18 t | 2013 | down 96.7% | volatile |
| 103 | C�te d'Ivoire | 13 t | 2013 | down 98.5% | volatile |
| 104 | Guyana | 12 t | 2013 | up 300.0% | volatile |
| 105 | Australia | 8 t | 2013 | down 77.1% | volatile |
| 105 | Australia and New Zealand | 8 t | 2013 | down 82.2% | volatile |
| 107 | Angola | 7 t | 2013 | up 133.3% | volatile |
| 107 | Albania | 7 t | 2013 | down 76.7% | volatile |
| 107 | Mongolia | 7 t | 2013 | down 91.7% | volatile |
| 110 | Bahamas | 6 t | 2013 | — | volatile |
| 110 | Gambia | 6 t | 2013 | down 53.8% | volatile |
| 110 | Kazakhstan | 6 t | 2013 | — | volatile |
| 113 | Jamaica | 5 t | 2013 | down 95.2% | volatile |
| 114 | Benin | 4 t | 2013 | down 96.0% | volatile |
| 114 | Iraq | 4 t | 2013 | down 50.0% | volatile |
| 116 | Burkina Faso | 3 t | 2013 | down 99.7% | volatile |
| 116 | Estonia | 3 t | 2013 | down 100.0% | volatile |
| 116 | Togo | 3 t | 2013 | up 50.0% | volatile |
| 119 | Kyrgyzstan | 2 t | 2013 | down 97.8% | volatile |
| 119 | Luxembourg | 2 t | 2013 | up 100.0% | volatile |
| 119 | Madagascar | 2 t | 2013 | down 95.1% | volatile |
| 119 | Rwanda | 2 t | 2013 | down 99.1% | volatile |
| 123 | Congo | 1 t | 2013 | down 98.6% | volatile |
| 123 | Mozambique | 1 t | 2013 | down 95.0% | volatile |
| 123 | Malawi | 1 t | 2013 | down 97.0% | volatile |
| 123 | Niger | 1 t | 2013 | down 99.0% | volatile |
| 123 | Brunei Darussalam | 1 t | 2013 | down 50.0% | volatile |
| 128 | Azerbaijan | 0 t | 2013 | — | volatile |
| 128 | Belize | 0 t | 2013 | down 100.0% | volatile |
| 128 | Barbados | 0 t | 2013 | — | volatile |
| 128 | Central African Republic | 0 t | 2013 | — | volatile |
| 128 | Costa Rica | 0 t | 2013 | down 100.0% | volatile |
| 128 | Cyprus | 0 t | 2013 | down 100.0% | volatile |
| 128 | Gabon | 0 t | 2013 | down 100.0% | volatile |
| 128 | Georgia | 0 t | 2013 | — | volatile |
| 128 | Guinea | 0 t | 2013 | down 100.0% | volatile |
| 128 | Guinea-Bissau | 0 t | 2013 | — | volatile |
| 128 | Saint Lucia | 0 t | 2013 | down 100.0% | volatile |
| 128 | Mali | 0 t | 2013 | down 100.0% | volatile |
| 128 | Malta | 0 t | 2013 | — | volatile |
| 128 | Nicaragua | 0 t | 2013 | — | volatile |
| 128 | New Zealand | 0 t | 2013 | down 100.0% | volatile |
| 128 | Panama | 0 t | 2013 | down 100.0% | volatile |
| 128 | Suriname | 0 t | 2013 | down 100.0% | volatile |
| 128 | Chad | 0 t | 2013 | — | volatile |
| 128 | Samoa | 0 t | 2013 | — | volatile |
| 128 | Yemen | 0 t | 2013 | down 100.0% | volatile |
| 128 | China, Macao SAR | 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 9.32 million t
- Asia 8.40 million t
- Eastern Asia 4.78 million t
- South-Eastern Asia 1.72 million t
- Net Food Importing Developing Countries 1.07 million t
- Land Locked Developing Countries 16,570 t
- Southern Asia 1.02 million t
- Low Income Food Deficit Countries 1.02 million t
- Western Asia 874,830 t
- Least developed countries 458,882 t
- Americas 431,377 t
- Middle Africa 55 t
- Central America 295,253 t
- Europe 292,490 t
- European Union (27) 201,313 t
- Africa 195,370 t
- South America 131,010 t
- Northern Africa 119,494 t
- Southern Europe 98,558 t
- Western Europe 96,360 t
- Eastern Europe 95,716 t
- Southern Africa 42,752 t
- Eastern Africa 32,630 t
- Small Island Developing States 23,779 t
- Northern America 2,953 t
- United States of America 2,248 t
- Northern Europe 1,856 t
- Western Africa 439 t
- Central Asia 108 t
- Oceania 8 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.