Cottonseed Oil — Domestic supply quantity by country
A 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 Oil — Domestic supply quantity is currently reported for 90 countries. The highest value is 1,333 1000 t in China; the lowest is -2 1000 t in Netherlands (Kingdom of the).
The median across all reporting countries is 2 1000 t, and the mean is 62.54 1000 t.
The gap between the highest and lowest reporting country is a factor of about 666.
Over the past decade 15 countries rose and 53 fell. The largest increase was in Ethiopia (up 750.0%), and the largest decrease in Kenya (down 200.0%).
Cottonseed Oil — Domestic supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 1,333 1000 t | 2023 | down 12.6% | falling |
| 1 | China, mainland | 1,333 1000 t | 2023 | down 12.4% | falling |
| 3 | India | 1,115 1000 t | 2023 | up 6.9% | rising |
| 4 | Brazil | 294 1000 t | 2023 | down 10.1% | flat |
| 5 | Pakistan | 213 1000 t | 2023 | down 53.0% | falling |
| 6 | Uzbekistan | 183 1000 t | 2023 | down 25.9% | falling |
| 7 | Turkey | 180 1000 t | 2023 | up 2.9% | flat |
| 7 | Türkiye | 180 1000 t | 2023 | up 2.9% | flat |
| 9 | United States | 150 1000 t | 2023 | down 46.4% | falling |
| 10 | Australia and New Zealand | 63 1000 t | 2023 | down 7.4% | falling |
| 11 | Australia | 62 1000 t | 2023 | down 7.5% | falling |
| 12 | Mexico | 44 1000 t | 2023 | down 40.5% | rising |
| 13 | Ethiopia | 34 1000 t | 2023 | up 750.0% | volatile |
| 14 | Cameroon | 33 1000 t | 2023 | up 73.7% | rising |
| 15 | Tajikistan | 31 1000 t | 2023 | down 41.5% | falling |
| 16 | United Republic of Tanzania | 28 1000 t | 2023 | up 86.7% | rising |
| 17 | Cote d'Ivoire | 23 1000 t | 2023 | up 35.3% | rising |
| 17 | Republic of Korea | 23 1000 t | 2023 | down 20.7% | falling |
| 17 | Côte d'Ivoire | 23 1000 t | 2023 | up 35.3% | rising |
| 20 | Greece | 22 1000 t | 2023 | up 22.2% | rising |
| 20 | Nigeria | 22 1000 t | 2023 | up 57.1% | rising |
| 20 | Turkmenistan | 22 1000 t | 2023 | down 56.9% | falling |
| 23 | Egypt | 21 1000 t | 2023 | down 12.5% | falling |
| 24 | Italy | 19 1000 t | 2023 | down 13.6% | falling |
| 24 | Saudi Arabia | 19 1000 t | 2023 | up 46.2% | rising |
| 26 | Myanmar | 18 1000 t | 2023 | down 56.1% | falling |
| 27 | Argentina | 17 1000 t | 2023 | up 325.0% | volatile |
| 28 | Zimbabwe | 14 1000 t | 2023 | down 26.3% | falling |
| 29 | Afghanistan | 13 1000 t | 2023 | up 160.0% | volatile |
| 30 | Uganda | 11 1000 t | 2023 | up 120.0% | rising |
| 31 | Spain | 8 1000 t | 2023 | down 50.0% | flat |
| 31 | Kyrgyzstan | 8 1000 t | 2023 | down 20.0% | falling |
| 33 | Iran (Islamic Republic of) | 7 1000 t | 2023 | down 53.3% | falling |
| 34 | Burkina Faso | 6 1000 t | 2023 | down 90.8% | volatile |
| 34 | Bangladesh | 6 1000 t | 2023 | up 20.0% | rising |
| 36 | Mozambique | 5 1000 t | 2023 | down 28.6% | rising |
| 37 | Syria | 4 1000 t | 2023 | down 88.2% | volatile |
| 37 | Syrian Arab Republic | 4 1000 t | 2023 | down 88.2% | volatile |
| 37 | Democratic People's Republic of Korea | 4 1000 t | 2018 | unchanged | flat |
| 40 | Malawi | 3 1000 t | 2023 | down 70.0% | volatile |
| 40 | Malaysia | 3 1000 t | 2023 | unchanged | rising |
| 40 | Peru | 3 1000 t | 2023 | down 66.7% | falling |
| 40 | South Africa | 3 1000 t | 2023 | down 88.5% | volatile |
| 40 | Zambia | 3 1000 t | 2023 | down 57.1% | volatile |
| 45 | Israel | 2 1000 t | 2023 | down 33.3% | falling |
| 45 | Kazakhstan | 2 1000 t | 2023 | down 77.8% | volatile |
| 45 | Paraguay | 2 1000 t | 2023 | down 71.4% | volatile |
| 45 | Senegal | 2 1000 t | 2023 | down 33.3% | falling |
| 49 | Bulgaria | 1 1000 t | 2023 | unchanged | flat |
| 49 | Botswana | 1 1000 t | 2023 | down 50.0% | falling |
| 49 | Canada | 1 1000 t | 2023 | down 92.3% | volatile |
| 49 | France | 1 1000 t | 2023 | — | volatile |
| 49 | Lesotho | 1 1000 t | 2023 | down 50.0% | volatile |
| 49 | Madagascar | 1 1000 t | 2023 | unchanged | flat |
| 49 | Nicaragua | 1 1000 t | 2023 | — | volatile |
| 49 | New Zealand | 1 1000 t | 2023 | unchanged | rising |
| 49 | Uruguay | 1 1000 t | 2023 | — | volatile |
| 49 | Vietnam | 1 1000 t | 2023 | — | volatile |
| 49 | Yemen | 1 1000 t | 2023 | down 50.0% | falling |
| 49 | Bolivia (Plurinational State of) | 1 1000 t | 2023 | down 90.9% | volatile |
| 49 | Venezuela (Bolivarian Republic of) | 1 1000 t | 2023 | unchanged | volatile |
| 49 | Viet Nam | 1 1000 t | 2023 | — | volatile |
| 63 | Angola | 0 1000 t | 2023 | down 100.0% | volatile |
| 63 | United Arab Emirates | 0 1000 t | 2023 | down 100.0% | volatile |
| 63 | Azerbaijan | 0 1000 t | 2023 | down 100.0% | volatile |
| 63 | Belgium | 0 1000 t | 2023 | — | volatile |
| 63 | Belarus | 0 1000 t | 2023 | — | volatile |
| 63 | Chile | 0 1000 t | 2023 | down 100.0% | volatile |
| 63 | Congo | 0 1000 t | 2023 | down 100.0% | volatile |
| 63 | Colombia | 0 1000 t | 2023 | down 100.0% | volatile |
| 63 | Germany | 0 1000 t | 2023 | — | volatile |
| 63 | Ghana | 0 1000 t | 2023 | — | volatile |
| 63 | Iraq | 0 1000 t | 2023 | down 100.0% | volatile |
| 63 | Laos | 0 1000 t | 2023 | down 100.0% | falling |
| 63 | Lebanon | 0 1000 t | 2023 | down 100.0% | volatile |
| 63 | Libya | 0 1000 t | 2023 | — | volatile |
| 63 | Morocco | 0 1000 t | 2023 | — | volatile |
| 63 | Mauritius | 0 1000 t | 2023 | — | volatile |
| 63 | Namibia | 0 1000 t | 2023 | down 100.0% | volatile |
| 63 | Niger | 0 1000 t | 2023 | down 100.0% | volatile |
| 63 | Poland | 0 1000 t | 2023 | — | volatile |
| 63 | Romania | 0 1000 t | 2023 | — | flat |
| 63 | Rwanda | 0 1000 t | 2023 | — | volatile |
| 63 | Trinidad and Tobago | 0 1000 t | 2023 | down 100.0% | volatile |
| 63 | Democratic Republic of the Congo | 0 1000 t | 2023 | down 100.0% | volatile |
| 63 | Caribbean | 0 1000 t | 2023 | down 100.0% | volatile |
| 63 | Lao People's Democratic Republic | 0 1000 t | 2023 | down 100.0% | falling |
| 63 | China, Taiwan Province of | 0 1000 t | 2023 | down 100.0% | volatile |
| 183 | Kenya | -1 1000 t | 2023 | down 200.0% | volatile |
| 184 | Netherlands (Kingdom of the) | -2 1000 t | 2023 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 4,143 1000 t
- Asia 3,192 1000 t
- Eastern Asia 1,364 1000 t
- Southern Asia 1,354 1000 t
- Americas 515 1000 t
- Net Food Importing Developing Countries (NFIDCs) 507 1000 t
- Low Income Food Deficit Countries (LIFDCs) 494 1000 t
- Land Locked Developing Countries (LLDCs) 406 1000 t
- Africa 325 1000 t
- South America 319 1000 t
- Least Developed Countries (LDCs) 246 1000 t
- Central Asia 246 1000 t
- Western Asia 207 1000 t
- Northern America 151 1000 t
- United States of America 150 1000 t
- Western Africa 140 1000 t
- Eastern Africa 99 1000 t
- Oceania 63 1000 t
- European Union (27) 49 1000 t
- Southern Europe 49 1000 t
- Europe 48 1000 t
- Middle Africa 46 1000 t
- Central America 45 1000 t
- Northern Africa 36 1000 t
- South-Eastern Asia 22 1000 t
- Southern Africa 5 1000 t
- Eastern Europe 1 1000 t
- Small island developing States (SIDS) 0 1000 t
- Northern Europe 0 1000 t
- Western Europe -1 1000 t
About this data
A 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 capita 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.