Cottonseed Oil — Stock Variation 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 — Stock Variation is currently reported for 161 countries. The highest value is 24 1000 t in India; the lowest is -30 1000 t in China, mainland.
The median across all reporting countries is 0 1000 t, and the mean is -0.0248 1000 t.
Over the past decade 10 countries rose and 9 fell. The largest increase was in Türkiye (up 350.0%), and the largest decrease in China (down 127.0%).
Cottonseed Oil — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 24 1000 t | 2023 | up 140.0% | volatile |
| 2 | Brazil | 13 1000 t | 2023 | up 125.5% | volatile |
| 3 | Türkiye | 10 1000 t | 2023 | up 350.0% | volatile |
| 4 | Uzbekistan | 8 1000 t | 2023 | — | volatile |
| 5 | Saudi Arabia | 5 1000 t | 2023 | — | volatile |
| 6 | Afghanistan | 2 1000 t | 2023 | — | volatile |
| 6 | Cameroon | 2 1000 t | 2023 | — | volatile |
| 6 | Côte d'Ivoire | 2 1000 t | 2023 | down 33.3% | volatile |
| 9 | Bulgaria | 1 1000 t | 2023 | — | volatile |
| 9 | Ethiopia | 1 1000 t | 2023 | — | volatile |
| 11 | Angola | 0 1000 t | 2023 | — | flat |
| 11 | Albania | 0 1000 t | 2023 | — | flat |
| 11 | United Arab Emirates | 0 1000 t | 2023 | — | flat |
| 11 | Argentina | 0 1000 t | 2023 | up 100.0% | volatile |
| 11 | Armenia | 0 1000 t | 2023 | — | flat |
| 11 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 11 | Australia | 0 1000 t | 2023 | — | volatile |
| 11 | Austria | 0 1000 t | 2023 | — | flat |
| 11 | Azerbaijan | 0 1000 t | 2023 | — | volatile |
| 11 | Burkina Faso | 0 1000 t | 2023 | down 100.0% | volatile |
| 11 | Bangladesh | 0 1000 t | 2023 | — | volatile |
| 11 | Bahrain | 0 1000 t | 2023 | — | flat |
| 11 | Bahamas | 0 1000 t | 2023 | — | flat |
| 11 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 11 | Belarus | 0 1000 t | 2023 | — | flat |
| 11 | Belize | 0 1000 t | 2023 | — | flat |
| 11 | Barbados | 0 1000 t | 2023 | — | flat |
| 11 | Botswana | 0 1000 t | 2023 | — | flat |
| 11 | Canada | 0 1000 t | 2023 | — | flat |
| 11 | Switzerland | 0 1000 t | 2023 | — | flat |
| 11 | Chile | 0 1000 t | 2023 | — | flat |
| 11 | Congo | 0 1000 t | 2023 | — | flat |
| 11 | Colombia | 0 1000 t | 2023 | — | volatile |
| 11 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 11 | Cuba | 0 1000 t | 2019 | — | flat |
| 11 | Cyprus | 0 1000 t | 2023 | — | flat |
| 11 | Czechia | 0 1000 t | 2023 | — | flat |
| 11 | Germany | 0 1000 t | 2023 | — | flat |
| 11 | Djibouti | 0 1000 t | 2023 | — | flat |
| 11 | Denmark | 0 1000 t | 2023 | — | flat |
| 11 | Dominican Republic | 0 1000 t | 2023 | — | flat |
| 11 | Algeria | 0 1000 t | 2023 | — | flat |
| 11 | Ecuador | 0 1000 t | 2023 | — | flat |
| 11 | Spain | 0 1000 t | 2023 | — | volatile |
| 11 | Estonia | 0 1000 t | 2023 | — | flat |
| 11 | Finland | 0 1000 t | 2021 | — | flat |
| 11 | Fiji | 0 1000 t | 2023 | — | flat |
| 11 | France | 0 1000 t | 2023 | — | flat |
| 11 | Gabon | 0 1000 t | 2023 | — | flat |
| 11 | Georgia | 0 1000 t | 2023 | — | flat |
| 11 | Ghana | 0 1000 t | 2023 | — | volatile |
| 11 | Gambia | 0 1000 t | 2021 | — | flat |
| 11 | Grenada | 0 1000 t | 2023 | — | flat |
| 11 | Guatemala | 0 1000 t | 2023 | — | flat |
| 11 | Guyana | 0 1000 t | 2023 | — | flat |
| 11 | Honduras | 0 1000 t | 2023 | — | flat |
| 11 | Croatia | 0 1000 t | 2023 | — | flat |
| 11 | Haiti | 0 1000 t | 2023 | — | flat |
| 11 | Hungary | 0 1000 t | 2023 | — | flat |
| 11 | Indonesia | 0 1000 t | 2023 | — | flat |
| 11 | Ireland | 0 1000 t | 2023 | — | flat |
| 11 | Iraq | 0 1000 t | 2023 | — | volatile |
| 11 | Iceland | 0 1000 t | 2023 | — | flat |
| 11 | Israel | 0 1000 t | 2023 | — | volatile |
| 11 | Italy | 0 1000 t | 2023 | — | flat |
| 11 | Jamaica | 0 1000 t | 2023 | — | flat |
| 11 | Jordan | 0 1000 t | 2023 | — | flat |
| 11 | Kenya | 0 1000 t | 2023 | — | flat |
| 11 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 11 | Cambodia | 0 1000 t | 2023 | — | flat |
| 11 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 11 | Kuwait | 0 1000 t | 2023 | — | flat |
| 11 | Lebanon | 0 1000 t | 2023 | — | flat |
| 11 | Libya | 0 1000 t | 2023 | — | flat |
| 11 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 11 | Lithuania | 0 1000 t | 2023 | — | flat |
| 11 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 11 | Latvia | 0 1000 t | 2023 | — | flat |
| 11 | Morocco | 0 1000 t | 2023 | — | volatile |
| 11 | Madagascar | 0 1000 t | 2023 | — | flat |
| 11 | Mexico | 0 1000 t | 2023 | up 100.0% | volatile |
| 11 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 11 | North Macedonia | 0 1000 t | 2020 | — | flat |
| 11 | Malta | 0 1000 t | 2023 | — | flat |
| 11 | Myanmar | 0 1000 t | 2023 | down 100.0% | volatile |
| 11 | Montenegro | 0 1000 t | 2023 | — | flat |
| 11 | Mozambique | 0 1000 t | 2023 | — | volatile |
| 11 | Mauritius | 0 1000 t | 2023 | — | volatile |
| 11 | Malawi | 0 1000 t | 2023 | down 100.0% | volatile |
| 11 | Namibia | 0 1000 t | 2023 | — | flat |
| 11 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 11 | Niger | 0 1000 t | 2023 | — | flat |
| 11 | Nigeria | 0 1000 t | 2023 | — | volatile |
| 11 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 11 | Norway | 0 1000 t | 2023 | — | flat |
| 11 | Nepal | 0 1000 t | 2023 | — | flat |
| 11 | New Zealand | 0 1000 t | 2023 | — | flat |
| 11 | Oman | 0 1000 t | 2023 | — | flat |
| 11 | Panama | 0 1000 t | 2019 | — | flat |
| 11 | Peru | 0 1000 t | 2023 | down 100.0% | flat |
| 11 | Philippines | 0 1000 t | 2023 | — | flat |
| 11 | Papua New Guinea | 0 1000 t | 2021 | — | flat |
| 11 | Poland | 0 1000 t | 2023 | — | flat |
| 11 | Portugal | 0 1000 t | 2023 | — | flat |
| 11 | Paraguay | 0 1000 t | 2023 | — | volatile |
| 11 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 11 | Qatar | 0 1000 t | 2023 | — | flat |
| 11 | Romania | 0 1000 t | 2023 | up 100.0% | volatile |
| 11 | Rwanda | 0 1000 t | 2023 | — | flat |
| 11 | Senegal | 0 1000 t | 2023 | — | flat |
| 11 | Solomon Islands | 0 1000 t | 2020 | — | flat |
| 11 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 11 | El Salvador | 0 1000 t | 2023 | — | flat |
| 11 | Serbia | 0 1000 t | 2023 | — | flat |
| 11 | Slovakia | 0 1000 t | 2023 | — | flat |
| 11 | Slovenia | 0 1000 t | 2023 | — | flat |
| 11 | Sweden | 0 1000 t | 2023 | — | volatile |
| 11 | Eswatini | 0 1000 t | 2023 | — | flat |
| 11 | Seychelles | 0 1000 t | 2023 | — | flat |
| 11 | Thailand | 0 1000 t | 2023 | — | flat |
| 11 | Tajikistan | 0 1000 t | 2023 | up 100.0% | volatile |
| 11 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 11 | Tunisia | 0 1000 t | 2023 | — | flat |
| 11 | Uganda | 0 1000 t | 2023 | — | volatile |
| 11 | Ukraine | 0 1000 t | 2023 | — | flat |
| 11 | Uruguay | 0 1000 t | 2023 | — | flat |
| 11 | Saint Vincent and the Grenadines | 0 1000 t | 2021 | — | flat |
| 11 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 11 | Yemen | 0 1000 t | 2023 | — | flat |
| 11 | Zambia | 0 1000 t | 2023 | — | volatile |
| 11 | Zimbabwe | 0 1000 t | 2023 | — | volatile |
| 11 | Micronesia | 0 1000 t | 2023 | — | flat |
| 11 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 11 | Melanesia | 0 1000 t | 2023 | — | flat |
| 11 | Polynesia | 0 1000 t | 2023 | — | flat |
| 11 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 11 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | flat |
| 11 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 11 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | flat |
| 11 | Republic of Korea | 0 1000 t | 2023 | down 100.0% | volatile |
| 11 | Russian Federation | 0 1000 t | 2023 | — | flat |
| 11 | Syrian Arab Republic | 0 1000 t | 2023 | — | flat |
| 11 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | flat |
| 11 | Viet Nam | 0 1000 t | 2023 | — | flat |
| 11 | Australia and New Zealand | 0 1000 t | 2023 | — | volatile |
| 11 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | flat |
| 11 | United Republic of Tanzania | 0 1000 t | 2023 | down 100.0% | flat |
| 11 | China, Taiwan Province of | 0 1000 t | 2023 | up 100.0% | volatile |
| 11 | Netherlands (Kingdom of the) | 0 1000 t | 2023 | — | volatile |
| 11 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | — | flat |
| 11 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | volatile |
| 11 | China, Macao SAR | 0 1000 t | 2023 | — | flat |
| 154 | Egypt | -1 1000 t | 2023 | — | volatile |
| 154 | Greece | -1 1000 t | 2023 | — | volatile |
| 154 | Pakistan | -1 1000 t | 2023 | unchanged | volatile |
| 154 | Turkmenistan | -1 1000 t | 2023 | unchanged | volatile |
| 158 | Malaysia | -2 1000 t | 2023 | up 50.0% | volatile |
| 159 | Belgium | -3 1000 t | 2023 | — | flat |
| 159 | Kazakhstan | -3 1000 t | 2023 | up 25.0% | volatile |
| 161 | China | -30 1000 t | 2023 | down 127.0% | volatile |
| 161 | China, mainland | -30 1000 t | 2023 | down 127.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 36 1000 t
- Southern Asia 26 1000 t
- Low Income Food Deficit Countries (LIFDCs) 21 1000 t
- Western Asia 15 1000 t
- Americas 14 1000 t
- Africa 13 1000 t
- Asia 13 1000 t
- South America 13 1000 t
- Net Food Importing Developing Countries (NFIDCs) 11 1000 t
- Least Developed Countries (LDCs) 10 1000 t
- Land Locked Developing Countries (LLDCs) 8 1000 t
- Caribbean 0 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.