Cottonseed — Processing 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 — Processing is currently reported for 99 countries. The highest value is 10.56 million t in China, mainland; the lowest is 0 t in Czechoslovakia.
The median across all reporting countries is 13,970 t, and the mean is 337,865 t.
Over the past decade 45 countries rose and 45 fell. The largest increase was in Dominican Republic (up 5,950.0%), and the largest decrease in Uruguay (down 100.0%).
Cottonseed — Processing: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China, mainland | 10.56 million t | 2013 | up 22.8% | volatile |
| 2 | India | 5.85 million t | 2013 | up 143.9% | volatile |
| 3 | USSR | 3.87 million t | 1991 | down 9.0% | rising |
| 4 | Pakistan | 2.51 million t | 2013 | up 23.2% | volatile |
| 5 | Brazil | 1.67 million t | 2013 | up 23.1% | rising |
| 6 | Uzbekistan | 1.55 million t | 2013 | up 4.7% | falling |
| 7 | T�rkiye | 1.24 million t | 2013 | down 1.8% | rising |
| 8 | Australia | 906,102 t | 2013 | up 136.0% | volatile |
| 8 | Australia and New Zealand | 906,102 t | 2013 | up 136.0% | volatile |
| 10 | Turkmenistan | 455,000 t | 2013 | up 229.7% | rising |
| 11 | Mexico | 297,300 t | 2013 | up 28.1% | falling |
| 12 | Burkina Faso | 297,187 t | 2013 | up 49.8% | volatile |
| 13 | Myanmar | 261,706 t | 2013 | up 181.0% | volatile |
| 14 | United Republic of Tanzania | 212,876 t | 2013 | up 103.5% | rising |
| 15 | Mali | 202,000 t | 2013 | up 6.3% | volatile |
| 16 | C�te d'Ivoire | 169,171 t | 2013 | up 20.1% | volatile |
| 17 | Greece | 151,900 t | 2013 | down 53.6% | rising |
| 18 | Republic of Korea | 151,601 t | 2013 | up 44.9% | volatile |
| 19 | Cameroon | 141,400 t | 2013 | up 4.7% | volatile |
| 20 | Italy | 133,043 t | 2013 | down 8.6% | volatile |
| 21 | Zimbabwe | 132,700 t | 2013 | down 20.0% | volatile |
| 22 | Egypt | 130,189 t | 2013 | down 54.5% | falling |
| 23 | Malawi | 121,379 t | 2013 | up 861.7% | volatile |
| 24 | Kazakhstan | 121,000 t | 2013 | down 19.9% | rising |
| 25 | Spain | 91,300 t | 2013 | down 59.8% | rising |
| 26 | Nigeria | 90,400 t | 2013 | down 9.0% | volatile |
| 27 | Benin | 90,000 t | 2013 | down 49.6% | volatile |
| 28 | Tajikistan | 87,000 t | 2013 | down 46.6% | falling |
| 29 | Argentina | 84,400 t | 2013 | up 101.0% | volatile |
| 30 | Saudi Arabia | 81,673 t | 2013 | up 112.1% | volatile |
| 31 | Iran (Islamic Republic of) | 72,950 t | 2013 | down 53.7% | falling |
| 32 | Bolivia (Plurinational State of) | 66,350 t | 2013 | up 10.9% | volatile |
| 33 | Ethiopia | 64,118 t | 2013 | up 82.9% | rising |
| 34 | Peru | 58,667 t | 2013 | down 11.4% | falling |
| 35 | Chad | 53,000 t | 2013 | down 33.8% | volatile |
| 36 | Mozambique | 52,295 t | 2013 | up 32.6% | volatile |
| 37 | Togo | 45,000 t | 2013 | up 12.5% | volatile |
| 38 | Zambia | 42,261 t | 2013 | up 20.4% | volatile |
| 39 | Kyrgyzstan | 37,688 t | 2013 | up 63.2% | rising |
| 40 | Bangladesh | 35,371 t | 2013 | up 23.6% | volatile |
| 41 | Colombia | 34,317 t | 2013 | down 16.2% | volatile |
| 42 | Sudan (former) | 32,500 t | 2011 | down 75.3% | volatile |
| 43 | Paraguay | 29,920 t | 2013 | down 63.2% | volatile |
| 44 | Afghanistan | 26,152 t | 2013 | up 27.2% | volatile |
| 45 | Democratic People's Republic of Korea | 24,940 t | 2013 | up 6.7% | volatile |
| 46 | Iraq | 21,848 t | 2013 | down 15.4% | volatile |
| 47 | Japan | 21,100 t | 2013 | down 29.2% | volatile |
| 48 | Israel | 20,100 t | 2013 | down 21.8% | volatile |
| 49 | Ethiopia PDR | 17,000 t | 1992 | down 67.1% | volatile |
| 50 | Uganda | 13,970 t | 2013 | down 72.2% | volatile |
| 51 | Senegal | 12,274 t | 2013 | down 52.1% | volatile |
| 52 | Yemen | 10,912 t | 2013 | down 38.8% | volatile |
| 53 | Azerbaijan | 10,300 t | 2013 | down 54.8% | volatile |
| 54 | Chile | 9,083 t | 2013 | up 205.8% | volatile |
| 55 | Madagascar | 8,580 t | 2013 | up 14.9% | rising |
| 56 | Kenya | 8,445 t | 2013 | down 28.7% | rising |
| 57 | Venezuela (Bolivarian Republic of) | 6,558 t | 2013 | up 17.0% | volatile |
| 58 | Niger | 5,898 t | 2013 | down 2.8% | volatile |
| 59 | Lao People's Democratic Republic | 4,732 t | 2013 | up 35.0% | volatile |
| 60 | Thailand | 4,250 t | 2013 | down 21.7% | volatile |
| 61 | Lebanon | 3,220 t | 2013 | — | volatile |
| 62 | Angola | 2,924 t | 2013 | up 97.6% | volatile |
| 63 | Namibia | 2,379 t | 2013 | up 133.7% | volatile |
| 64 | Portugal | 2,318 t | 2013 | down 83.4% | volatile |
| 65 | Ecuador | 2,022 t | 2013 | up 256.6% | volatile |
| 66 | Honduras | 1,759 t | 2013 | up 50.1% | volatile |
| 67 | Hungary | 1,538 t | 2013 | down 65.3% | volatile |
| 68 | Nicaragua | 1,147 t | 2013 | down 34.8% | volatile |
| 69 | Viet Nam | 1,083 t | 2013 | down 90.7% | volatile |
| 70 | Eswatini | 1,061 t | 2013 | up 176.3% | volatile |
| 71 | France | 1,043 t | 2013 | down 32.5% | volatile |
| 72 | Tunisia | 918 t | 2013 | down 14.0% | volatile |
| 73 | Indonesia | 876 t | 2013 | up 292.8% | volatile |
| 74 | Bulgaria | 788 t | 2013 | up 51.0% | volatile |
| 75 | Caribbean | 711 t | 2013 | down 10.5% | volatile |
| 76 | Botswana | 630 t | 2013 | down 26.2% | falling |
| 77 | El Salvador | 533 t | 2013 | up 1,010.4% | volatile |
| 78 | Haiti | 520 t | 2013 | down 29.1% | volatile |
| 79 | Albania | 448 t | 2013 | down 1.5% | volatile |
| 80 | Yugoslav SFR | 217 t | 1991 | down 35.4% | volatile |
| 81 | Morocco | 149 t | 2013 | up 104.1% | volatile |
| 82 | Guatemala | 138 t | 2013 | down 92.0% | volatile |
| 83 | Dominican Republic | 121 t | 2013 | up 5,950.0% | volatile |
| 84 | United Kingdom of Great Britain and Northern Ireland | 42 t | 2013 | down 76.9% | volatile |
| 85 | Antigua and Barbuda | 41 t | 2013 | up 5.1% | volatile |
| 86 | Philippines | 30 t | 2013 | down 93.3% | volatile |
| 87 | Grenada | 27 t | 2013 | up 42.1% | falling |
| 88 | Nepal | 16 t | 2013 | down 76.5% | volatile |
| 89 | Poland | 11 t | 2013 | — | volatile |
| 90 | Romania | 9 t | 2013 | — | volatile |
| 91 | Costa Rica | 6 t | 2013 | down 96.1% | volatile |
| 92 | Saint Kitts and Nevis | 2 t | 2013 | up 100.0% | volatile |
| 93 | Germany | 0 t | 2013 | — | volatile |
| 93 | Ireland | 0 t | 2013 | — | volatile |
| 93 | Sri Lanka | 0 t | 2013 | — | volatile |
| 93 | Rwanda | 0 t | 2013 | — | volatile |
| 93 | Uruguay | 0 t | 2013 | down 100.0% | volatile |
| 93 | Saint Vincent and the Grenadines | 0 t | 2013 | — | volatile |
| 93 | Czechoslovakia | 0 t | 1992 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 30.54 million t
- Asia 23.17 million t
- Low Income Food Deficit Countries 11.89 million t
- Eastern Asia 10.76 million t
- Southern Asia 8.50 million t
- Net Food Importing Developing Countries 4.49 million t
- Americas 4.08 million t
- Land Locked Developing Countries 3.32 million t
- Central Asia 2.25 million t
- Africa 2.00 million t
- South America 1.96 million t
- Northern America 1.81 million 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.