Cotton lint — 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
Cotton lint — Export Quantity is currently reported for 146 countries. The highest value is 2.37 million t in India; the lowest is 0 t in China, Macao SAR.
The median across all reporting countries is 127 t, and the mean is 57,381 t.
Over the past decade 39 countries rose and 71 fell. The largest increase was in Malaysia (up 16,698.0%), and the largest decrease in Botswana (down 100.0%).
Cotton lint — Export Quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 2.37 million t | 2013 | up 1,385.6% | volatile |
| 2 | Australia | 1.17 million t | 2013 | up 155.1% | volatile |
| 2 | Australia and New Zealand | 1.17 million t | 2013 | up 155.1% | volatile |
| 4 | Brazil | 572,913 t | 2013 | up 226.6% | volatile |
| 5 | USSR | 495,000 t | 1991 | down 46.0% | rising |
| 6 | Uzbekistan | 309,602 t | 2013 | down 53.0% | falling |
| 7 | Burkina Faso | 271,193 t | 2013 | up 40.3% | volatile |
| 8 | Greece | 257,680 t | 2013 | down 8.5% | volatile |
| 9 | Mali | 162,739 t | 2013 | down 8.2% | volatile |
| 10 | Turkmenistan | 162,319 t | 2013 | up 39.9% | volatile |
| 11 | Benin | 155,986 t | 2013 | down 4.5% | volatile |
| 12 | C�te d'Ivoire | 149,556 t | 2013 | up 3.7% | volatile |
| 13 | Pakistan | 124,341 t | 2013 | up 125.7% | volatile |
| 14 | Malaysia | 93,733 t | 2013 | up 16,698.0% | volatile |
| 15 | Cameroon | 86,125 t | 2013 | down 6.6% | volatile |
| 16 | United Republic of Tanzania | 68,274 t | 2013 | up 69.3% | rising |
| 17 | Kazakhstan | 67,324 t | 2013 | down 36.6% | volatile |
| 18 | Zimbabwe | 58,391 t | 2013 | down 16.3% | volatile |
| 19 | Mexico | 54,376 t | 2013 | up 214.2% | volatile |
| 20 | Tajikistan | 51,387 t | 2013 | down 65.6% | falling |
| 21 | T�rkiye | 47,806 t | 2013 | down 46.0% | volatile |
| 22 | Spain | 47,722 t | 2013 | up 68.0% | volatile |
| 23 | Mozambique | 47,218 t | 2013 | up 91.3% | volatile |
| 24 | Zambia | 46,946 t | 2013 | up 69.1% | volatile |
| 25 | Egypt | 42,027 t | 2013 | down 78.6% | volatile |
| 26 | Togo | 33,607 t | 2013 | down 31.2% | volatile |
| 27 | Argentina | 28,891 t | 2013 | up 990.6% | volatile |
| 28 | China, Hong Kong SAR | 25,000 t | 2013 | up 274.5% | volatile |
| 29 | Afghanistan | 20,207 t | 2013 | up 199.3% | volatile |
| 30 | Israel | 18,719 t | 2013 | down 9.3% | volatile |
| 31 | Kyrgyzstan | 15,500 t | 2013 | down 63.5% | volatile |
| 32 | Chad | 14,995 t | 2013 | down 69.7% | flat |
| 33 | Nigeria | 13,580 t | 2013 | down 48.0% | volatile |
| 34 | Paraguay | 13,492 t | 2013 | down 76.4% | volatile |
| 35 | Belgium-Luxembourg | 13,083 t | 1999 | up 290.7% | volatile |
| 36 | Senegal | 12,784 t | 2013 | down 47.4% | volatile |
| 37 | Malawi | 11,445 t | 2013 | up 109.1% | volatile |
| 38 | Germany | 8,246 t | 2013 | down 38.2% | volatile |
| 39 | Sudan (former) | 7,442 t | 2011 | down 81.3% | volatile |
| 40 | China, mainland | 6,560 t | 2013 | down 94.1% | volatile |
| 41 | Belgium | 5,260 t | 2013 | down 64.3% | volatile |
| 42 | Italy | 5,151 t | 2013 | down 13.1% | volatile |
| 43 | Madagascar | 4,733 t | 2013 | up 105.4% | volatile |
| 44 | Azerbaijan | 3,973 t | 2013 | down 88.1% | volatile |
| 45 | Ghana | 3,507 t | 2013 | up 16.5% | volatile |
| 46 | France | 3,291 t | 2013 | down 63.7% | volatile |
| 47 | Uganda | 2,404 t | 2013 | up 44.0% | volatile |
| 48 | Serbia and Montenegro | 1,931 t | 2005 | — | volatile |
| 49 | Viet Nam | 1,756 t | 2013 | up 7,534.8% | volatile |
| 50 | Czechoslovakia | 1,400 t | 1992 | down 80.8% | volatile |
| 51 | United Arab Emirates | 1,388 t | 2013 | down 89.4% | volatile |
| 52 | Thailand | 1,349 t | 2013 | up 77.3% | volatile |
| 53 | Guinea | 1,315 t | 2013 | down 61.2% | volatile |
| 54 | Yugoslav SFR | 1,300 t | 1991 | up 437.2% | volatile |
| 55 | Indonesia | 892 t | 2013 | down 74.5% | volatile |
| 56 | Portugal | 806 t | 2013 | up 100.0% | volatile |
| 57 | Republic of Korea | 800 t | 2013 | down 34.6% | volatile |
| 58 | Colombia | 777 t | 2013 | — | volatile |
| 59 | Latvia | 707 t | 2013 | up 7,755.6% | volatile |
| 60 | Austria | 691 t | 2013 | down 48.8% | volatile |
| 61 | Netherlands (Kingdom of the) | 482 t | 2013 | down 10.4% | volatile |
| 62 | Peru | 453 t | 2013 | down 83.8% | volatile |
| 63 | Iraq | 405 t | 2013 | down 92.3% | volatile |
| 64 | Russian Federation | 345 t | 2013 | up 197.4% | volatile |
| 65 | Niger | 338 t | 2013 | up 116.7% | volatile |
| 66 | Mauritius | 298 t | 2013 | up 14,800.0% | volatile |
| 67 | Hungary | 297 t | 2013 | down 91.1% | volatile |
| 68 | Bolivia (Plurinational State of) | 248 t | 2013 | down 82.8% | volatile |
| 69 | United Kingdom of Great Britain and Northern Ireland | 169 t | 2013 | down 71.9% | volatile |
| 70 | Cambodia | 162 t | 2013 | up 3,140.0% | volatile |
| 71 | Switzerland | 149 t | 2013 | down 74.8% | volatile |
| 72 | Yemen | 139 t | 2013 | — | volatile |
| 73 | Sri Lanka | 135 t | 2013 | up 321.9% | volatile |
| 74 | Bulgaria | 119 t | 2013 | down 52.6% | volatile |
| 74 | Ukraine | 119 t | 2013 | — | volatile |
| 76 | Caribbean | 103 t | 2013 | up 202.9% | volatile |
| 77 | Iran (Islamic Republic of) | 100 t | 2013 | up 4,900.0% | volatile |
| 78 | China, Taiwan Province of | 76 t | 2013 | down 95.1% | volatile |
| 79 | Antigua and Barbuda | 73 t | 2013 | — | volatile |
| 79 | Costa Rica | 73 t | 2013 | — | volatile |
| 81 | Bosnia and Herzegovina | 64 t | 2013 | — | volatile |
| 82 | Republic of Moldova | 61 t | 2013 | — | volatile |
| 83 | Poland | 60 t | 2013 | down 16.7% | volatile |
| 84 | Guatemala | 42 t | 2013 | down 91.4% | volatile |
| 85 | Nepal | 40 t | 2013 | down 63.0% | volatile |
| 86 | Serbia | 29 t | 2013 | — | volatile |
| 87 | Czechia | 28 t | 2013 | down 98.7% | volatile |
| 88 | North Macedonia | 27 t | 2013 | up 1,250.0% | volatile |
| 89 | Barbados | 26 t | 2013 | up 36.8% | volatile |
| 90 | Lao People's Democratic Republic | 22 t | 2013 | down 90.8% | volatile |
| 91 | Eswatini | 20 t | 2013 | down 84.8% | volatile |
| 92 | Belarus | 18 t | 2013 | up 125.0% | volatile |
| 93 | Slovenia | 12 t | 2013 | down 96.1% | volatile |
| 94 | Belize | 10 t | 2013 | down 76.2% | volatile |
| 94 | Denmark | 10 t | 2013 | up 233.3% | volatile |
| 94 | Philippines | 10 t | 2013 | down 98.2% | volatile |
| 97 | Sweden | 7 t | 2013 | down 69.6% | volatile |
| 98 | Kenya | 5 t | 2013 | down 98.3% | volatile |
| 99 | Jamaica | 4 t | 2013 | down 73.3% | volatile |
| 100 | Ireland | 3 t | 2013 | up 200.0% | volatile |
| 101 | Namibia | 2 t | 2013 | down 99.3% | volatile |
| 101 | Oman | 2 t | 2013 | — | volatile |
| 101 | Tunisia | 2 t | 2013 | down 97.7% | volatile |
| 104 | Canada | 1 t | 2013 | down 80.0% | volatile |
| 104 | Morocco | 1 t | 2013 | down 99.2% | volatile |
| 104 | Slovakia | 1 t | 2013 | down 99.7% | volatile |
| 107 | Angola | 0 t | 2013 | — | volatile |
| 107 | Albania | 0 t | 2013 | — | volatile |
| 107 | Bangladesh | 0 t | 2013 | — | volatile |
| 107 | Botswana | 0 t | 2013 | down 100.0% | volatile |
| 107 | Chile | 0 t | 2013 | — | volatile |
| 107 | Cuba | 0 t | 2013 | — | volatile |
| 107 | Dominican Republic | 0 t | 2013 | — | volatile |
| 107 | Algeria | 0 t | 2013 | — | volatile |
| 107 | Ecuador | 0 t | 2013 | down 100.0% | volatile |
| 107 | Estonia | 0 t | 2013 | down 100.0% | volatile |
| 107 | Ethiopia | 0 t | 2013 | down 100.0% | volatile |
| 107 | Finland | 0 t | 2013 | — | volatile |
| 107 | Georgia | 0 t | 2013 | down 100.0% | volatile |
| 107 | Gambia | 0 t | 2013 | down 100.0% | volatile |
| 107 | Guinea-Bissau | 0 t | 2013 | down 100.0% | volatile |
| 107 | Grenada | 0 t | 2013 | — | volatile |
| 107 | Honduras | 0 t | 2013 | down 100.0% | volatile |
| 107 | Croatia | 0 t | 2013 | — | volatile |
| 107 | Haiti | 0 t | 2013 | — | volatile |
| 107 | Jordan | 0 t | 2013 | — | volatile |
| 107 | Japan | 0 t | 2013 | down 100.0% | volatile |
| 107 | Saint Kitts and Nevis | 0 t | 2013 | — | volatile |
| 107 | Kuwait | 0 t | 2013 | — | volatile |
| 107 | Lebanon | 0 t | 2013 | — | volatile |
| 107 | Lithuania | 0 t | 2013 | down 100.0% | volatile |
| 107 | Malta | 0 t | 2013 | — | volatile |
| 107 | Myanmar | 0 t | 2013 | down 100.0% | volatile |
| 107 | Mongolia | 0 t | 2013 | — | volatile |
| 107 | Nicaragua | 0 t | 2013 | down 100.0% | volatile |
| 107 | Norway | 0 t | 2013 | — | volatile |
| 107 | New Zealand | 0 t | 2013 | — | volatile |
| 107 | Romania | 0 t | 2013 | — | volatile |
| 107 | Saudi Arabia | 0 t | 2013 | down 100.0% | volatile |
| 107 | El Salvador | 0 t | 2013 | — | volatile |
| 107 | Trinidad and Tobago | 0 t | 2013 | — | volatile |
| 107 | Uruguay | 0 t | 2013 | — | volatile |
| 107 | Saint Vincent and the Grenadines | 0 t | 2013 | — | volatile |
| 107 | Venezuela (Bolivarian Republic of) | 0 t | 2013 | — | volatile |
| 107 | Ethiopia PDR | 0 t | 1992 | down 100.0% | volatile |
| 107 | China, Macao SAR | 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 9.48 million t
- Low Income Food Deficit Countries 3.99 million t
- Americas 3.46 million t
- Asia 3.32 million t
- Northern America 2.79 million t
- United States of America 2.79 million t
- Southern Asia 2.51 million t
- Land Locked Developing Countries 1.21 million t
- Africa 1.20 million t
- Net Food Importing Developing Countries 1.18 million t
- Oceania 1.17 million t
- Least Developed Countries 859,801 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.