Cottonseed — Production 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 — Production is currently reported for 97 countries. The highest value is 12.62 million t in China, mainland; the lowest is 0 t in China, Taiwan Province of.
The median across all reporting countries is 17,000 t, and the mean is 485,637 t.
Over the past decade 42 countries rose and 43 fell. The largest increase was in Costa Rica (up 724.0%), and the largest decrease in Namibia (down 100.0%).
Cottonseed — Production: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China, mainland | 12.62 million t | 2013 | up 29.8% | rising |
| 2 | India | 12.29 million t | 2013 | up 159.3% | volatile |
| 3 | USSR | 4.58 million t | 1991 | down 22.0% | rising |
| 4 | Pakistan | 4.03 million t | 2013 | up 17.9% | volatile |
| 5 | Brazil | 2.14 million t | 2013 | up 54.6% | rising |
| 6 | Uzbekistan | 1.85 million t | 2013 | up 6.9% | falling |
| 7 | Australia | 1.44 million t | 2013 | up 163.7% | volatile |
| 7 | Australia and New Zealand | 1.44 million t | 2013 | up 163.7% | volatile |
| 9 | T�rkiye | 1.29 million t | 2013 | down 3.7% | rising |
| 10 | Greece | 507,000 t | 2013 | down 17.0% | rising |
| 11 | Burkina Faso | 430,000 t | 2013 | up 72.0% | volatile |
| 12 | Turkmenistan | 380,000 t | 2013 | down 19.1% | falling |
| 13 | Argentina | 298,650 t | 2013 | up 169.1% | rising |
| 14 | Mali | 295,000 t | 2013 | down 5.2% | volatile |
| 15 | Mexico | 280,000 t | 2013 | up 142.8% | volatile |
| 15 | Myanmar | 280,000 t | 2013 | up 165.5% | volatile |
| 17 | C�te d'Ivoire | 265,000 t | 2013 | up 20.5% | volatile |
| 18 | Tajikistan | 225,000 t | 2013 | down 26.5% | flat |
| 19 | United Republic of Tanzania | 224,000 t | 2013 | up 86.7% | rising |
| 20 | Kazakhstan | 218,200 t | 2013 | up 3.9% | rising |
| 21 | Cameroon | 180,000 t | 2013 | up 76.2% | volatile |
| 22 | Zimbabwe | 175,000 t | 2013 | up 29.6% | volatile |
| 23 | Benin | 160,000 t | 2013 | down 30.4% | volatile |
| 24 | Egypt | 133,820 t | 2013 | down 58.8% | falling |
| 25 | Nigeria | 130,000 t | 2013 | down 53.9% | volatile |
| 26 | Iran (Islamic Republic of) | 115,000 t | 2013 | down 45.5% | falling |
| 27 | Malawi | 103,000 t | 2013 | up 281.5% | volatile |
| 28 | Zambia | 92,000 t | 2013 | up 42.3% | volatile |
| 29 | Mozambique | 80,000 t | 2013 | up 47.8% | volatile |
| 30 | Bolivia (Plurinational State of) | 69,500 t | 2013 | up 12.5% | volatile |
| 31 | Ethiopia | 66,000 t | 2013 | up 78.4% | rising |
| 32 | Chad | 65,000 t | 2013 | down 18.8% | rising |
| 33 | Peru | 60,000 t | 2013 | down 21.1% | falling |
| 34 | Spain | 57,007 t | 2013 | down 52.7% | falling |
| 35 | Togo | 45,000 t | 2013 | down 50.0% | volatile |
| 36 | Kyrgyzstan | 43,600 t | 2013 | down 37.7% | rising |
| 37 | Azerbaijan | 43,000 t | 2013 | down 29.9% | volatile |
| 38 | Bangladesh | 36,700 t | 2013 | up 22.7% | volatile |
| 39 | Colombia | 35,307 t | 2013 | down 30.4% | volatile |
| 40 | Paraguay | 31,200 t | 2013 | down 71.3% | volatile |
| 41 | Uganda | 30,000 t | 2013 | down 44.4% | volatile |
| 41 | Sudan (former) | 30,000 t | 2011 | down 79.8% | volatile |
| 43 | Afghanistan | 27,412 t | 2013 | up 27.8% | falling |
| 44 | Democratic People's Republic of Korea | 25,700 t | 2013 | up 6.5% | volatile |
| 45 | Iraq | 23,000 t | 2013 | down 14.8% | volatile |
| 46 | Guinea | 22,000 t | 2013 | up 2.3% | volatile |
| 47 | Ethiopia PDR | 20,000 t | 1992 | down 63.0% | rising |
| 48 | Senegal | 18,000 t | 2013 | down 40.0% | volatile |
| 49 | Israel | 17,000 t | 2013 | down 38.0% | volatile |
| 50 | Yemen | 11,900 t | 2013 | down 38.0% | rising |
| 51 | Madagascar | 9,000 t | 2013 | up 12.5% | volatile |
| 52 | Kenya | 8,400 t | 2013 | down 35.4% | rising |
| 53 | Ghana | 8,100 t | 2013 | up 3.8% | volatile |
| 54 | Venezuela (Bolivarian Republic of) | 6,700 t | 2013 | down 13.7% | volatile |
| 55 | Niger | 5,800 t | 2013 | up 23.4% | rising |
| 56 | Lao People's Democratic Republic | 4,840 t | 2013 | up 33.9% | volatile |
| 57 | Thailand | 4,812 t | 2013 | down 44.0% | volatile |
| 58 | Angola | 3,200 t | 2013 | up 93.9% | volatile |
| 59 | Guinea-Bissau | 2,900 t | 2013 | down 10.6% | volatile |
| 60 | Indonesia | 2,398 t | 2013 | up 4.7% | volatile |
| 61 | Ecuador | 2,356 t | 2013 | up 236.2% | volatile |
| 62 | Viet Nam | 2,165 t | 2013 | down 90.7% | volatile |
| 63 | Honduras | 1,800 t | 2013 | up 50.0% | volatile |
| 64 | Guatemala | 1,775 t | 2013 | down 14.1% | volatile |
| 65 | Nicaragua | 1,700 t | 2013 | down 5.6% | volatile |
| 66 | Tunisia | 1,260 t | 2013 | down 3.7% | volatile |
| 67 | Eswatini | 1,100 t | 2013 | down 9.9% | volatile |
| 68 | Costa Rica | 1,030 t | 2013 | up 724.0% | volatile |
| 69 | Caribbean | 760.34 t | 2013 | down 26.1% | volatile |
| 70 | Haiti | 600 t | 2013 | down 31.9% | volatile |
| 71 | Botswana | 590 t | 2013 | down 54.0% | falling |
| 72 | Albania | 540 t | 2013 | down 12.9% | volatile |
| 73 | Gambia | 284 t | 2013 | up 11.4% | volatile |
| 74 | Cambodia | 173 t | 2013 | up 0.6% | volatile |
| 75 | Bulgaria | 155 t | 2013 | down 94.3% | volatile |
| 76 | Morocco | 133 t | 2013 | up 44.6% | volatile |
| 77 | Antigua and Barbuda | 128.34 t | 2013 | up 1.6% | volatile |
| 78 | Nepal | 94 t | 2013 | up 147.4% | volatile |
| 79 | El Salvador | 80 t | 2013 | down 31.0% | volatile |
| 80 | Algeria | 51 t | 2013 | up 59.4% | volatile |
| 81 | Philippines | 35 t | 2013 | down 97.6% | volatile |
| 82 | Grenada | 30 t | 2013 | up 42.9% | volatile |
| 83 | Yugoslav SFR | 20 t | 1991 | down 96.6% | volatile |
| 84 | Saint Kitts and Nevis | 2 t | 2013 | up 100.0% | volatile |
| 85 | Cuba | 0 t | 2013 | — | volatile |
| 85 | Cyprus | 0 t | 2013 | — | volatile |
| 85 | Dominican Republic | 0 t | 2013 | — | volatile |
| 85 | Italy | 0 t | 2013 | — | volatile |
| 85 | Sri Lanka | 0 t | 2013 | — | volatile |
| 85 | North Macedonia | 0 t | 2013 | — | volatile |
| 85 | Namibia | 0 t | 2013 | down 100.0% | volatile |
| 85 | Romania | 0 t | 2013 | — | volatile |
| 85 | Rwanda | 0 t | 2013 | — | volatile |
| 85 | Uruguay | 0 t | 2013 | — | volatile |
| 85 | Saint Vincent and the Grenadines | 0 t | 2013 | — | volatile |
| 85 | Republic of Korea | 0 t | 2013 | — | volatile |
| 85 | China, Taiwan Province of | 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 44.90 million t
- Asia 33.54 million t
- Low Income Food Deficit Countries 20.91 million t
- Southern Asia 16.50 million t
- Eastern Asia 12.65 million t
- Americas 6.75 million t
- Net Food Importing Developing Countries 6.56 million t
- Land Locked Developing Countries 4.17 million t
- Northern America 3.81 million t
- United States of America 3.81 million t
- Central Asia 2.72 million t
- South America 2.65 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.