Cottonseed Oil — Export 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 — Export quantity is currently reported for 101 countries. The highest value is 11 1000 t in Brazil; the lowest is 0 1000 t in United Kingdom of Great Britain and Northern Ireland.
The median across all reporting countries is 0 1000 t, and the mean is 0.7921 1000 t.
Over the past decade 5 countries rose and 10 fell. The largest increase was in Türkiye (up 600.0%), and the largest decrease in Australia (down 100.0%).
Cottonseed Oil — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Brazil | 11 1000 t | 2023 | — | volatile |
| 1 | Kazakhstan | 11 1000 t | 2023 | down 35.3% | falling |
| 3 | Argentina | 7 1000 t | 2023 | down 36.4% | volatile |
| 3 | Malaysia | 7 1000 t | 2023 | up 40.0% | rising |
| 3 | Türkiye | 7 1000 t | 2023 | up 600.0% | volatile |
| 6 | China | 6 1000 t | 2023 | up 500.0% | volatile |
| 6 | China, mainland | 6 1000 t | 2023 | up 500.0% | volatile |
| 8 | Turkmenistan | 5 1000 t | 2023 | up 400.0% | volatile |
| 9 | Belgium | 3 1000 t | 2023 | — | volatile |
| 9 | Kenya | 3 1000 t | 2023 | — | volatile |
| 9 | Netherlands (Kingdom of the) | 3 1000 t | 2023 | — | volatile |
| 12 | Azerbaijan | 2 1000 t | 2023 | — | volatile |
| 12 | Burkina Faso | 2 1000 t | 2023 | unchanged | volatile |
| 12 | Greece | 2 1000 t | 2023 | unchanged | falling |
| 12 | Uzbekistan | 2 1000 t | 2023 | down 91.3% | volatile |
| 12 | Côte d'Ivoire | 2 1000 t | 2023 | — | volatile |
| 17 | United Republic of Tanzania | 1 1000 t | 2023 | down 80.0% | volatile |
| 18 | Angola | 0 1000 t | 2022 | — | flat |
| 18 | United Arab Emirates | 0 1000 t | 2023 | — | flat |
| 18 | Australia | 0 1000 t | 2023 | down 100.0% | volatile |
| 18 | Austria | 0 1000 t | 2023 | — | flat |
| 18 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 18 | Bulgaria | 0 1000 t | 2023 | — | volatile |
| 18 | Botswana | 0 1000 t | 2023 | — | flat |
| 18 | Canada | 0 1000 t | 2023 | — | flat |
| 18 | Switzerland | 0 1000 t | 2023 | — | flat |
| 18 | Chile | 0 1000 t | 2017 | — | flat |
| 18 | Cameroon | 0 1000 t | 2022 | — | flat |
| 18 | Colombia | 0 1000 t | 2023 | — | flat |
| 18 | Costa Rica | 0 1000 t | 2021 | — | flat |
| 18 | Cyprus | 0 1000 t | 2018 | — | flat |
| 18 | Germany | 0 1000 t | 2023 | — | volatile |
| 18 | Denmark | 0 1000 t | 2023 | — | flat |
| 18 | Algeria | 0 1000 t | 2022 | — | flat |
| 18 | Ecuador | 0 1000 t | 2022 | — | flat |
| 18 | Egypt | 0 1000 t | 2023 | — | volatile |
| 18 | Spain | 0 1000 t | 2023 | — | volatile |
| 18 | Estonia | 0 1000 t | 2021 | — | flat |
| 18 | Ethiopia | 0 1000 t | 2021 | — | flat |
| 18 | Finland | 0 1000 t | 2016 | — | flat |
| 18 | Fiji | 0 1000 t | 2021 | — | flat |
| 18 | France | 0 1000 t | 2023 | — | flat |
| 18 | Ghana | 0 1000 t | 2022 | — | flat |
| 18 | Guatemala | 0 1000 t | 2023 | — | flat |
| 18 | Honduras | 0 1000 t | 2018 | — | flat |
| 18 | Croatia | 0 1000 t | 2023 | — | flat |
| 18 | Hungary | 0 1000 t | 2023 | — | flat |
| 18 | Indonesia | 0 1000 t | 2023 | — | flat |
| 18 | India | 0 1000 t | 2023 | — | volatile |
| 18 | Ireland | 0 1000 t | 2023 | — | flat |
| 18 | Israel | 0 1000 t | 2020 | — | flat |
| 18 | Italy | 0 1000 t | 2023 | down 100.0% | volatile |
| 18 | Kyrgyzstan | 0 1000 t | 2021 | — | flat |
| 18 | Kuwait | 0 1000 t | 2018 | — | flat |
| 18 | Lebanon | 0 1000 t | 2023 | — | flat |
| 18 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 18 | Lithuania | 0 1000 t | 2023 | — | flat |
| 18 | Latvia | 0 1000 t | 2016 | — | flat |
| 18 | Morocco | 0 1000 t | 2023 | — | flat |
| 18 | Mexico | 0 1000 t | 2018 | — | flat |
| 18 | North Macedonia | 0 1000 t | 2015 | — | flat |
| 18 | Mozambique | 0 1000 t | 2023 | — | flat |
| 18 | Mauritius | 0 1000 t | 2023 | — | flat |
| 18 | Namibia | 0 1000 t | 2023 | — | flat |
| 18 | Nigeria | 0 1000 t | 2023 | — | flat |
| 18 | Nepal | 0 1000 t | 2021 | — | flat |
| 18 | New Zealand | 0 1000 t | 2023 | — | flat |
| 18 | Oman | 0 1000 t | 2023 | — | flat |
| 18 | Pakistan | 0 1000 t | 2020 | — | flat |
| 18 | Panama | 0 1000 t | 2015 | — | flat |
| 18 | Peru | 0 1000 t | 2023 | — | flat |
| 18 | Poland | 0 1000 t | 2023 | — | volatile |
| 18 | Portugal | 0 1000 t | 2023 | — | flat |
| 18 | Romania | 0 1000 t | 2023 | down 100.0% | volatile |
| 18 | Rwanda | 0 1000 t | 2022 | — | flat |
| 18 | Saudi Arabia | 0 1000 t | 2023 | — | volatile |
| 18 | Senegal | 0 1000 t | 2018 | — | flat |
| 18 | Serbia | 0 1000 t | 2023 | — | flat |
| 18 | Slovenia | 0 1000 t | 2023 | — | flat |
| 18 | Sweden | 0 1000 t | 2023 | — | flat |
| 18 | Eswatini | 0 1000 t | 2016 | — | flat |
| 18 | Thailand | 0 1000 t | 2023 | — | flat |
| 18 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 18 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 18 | Uganda | 0 1000 t | 2022 | — | flat |
| 18 | Ukraine | 0 1000 t | 2019 | — | flat |
| 18 | Vanuatu | 0 1000 t | 2022 | — | flat |
| 18 | Yemen | 0 1000 t | 2020 | — | volatile |
| 18 | Zambia | 0 1000 t | 2022 | — | volatile |
| 18 | Zimbabwe | 0 1000 t | 2023 | down 100.0% | volatile |
| 18 | Melanesia | 0 1000 t | 2022 | — | flat |
| 18 | Democratic Republic of the Congo | 0 1000 t | 2017 | — | flat |
| 18 | Caribbean | 0 1000 t | 2023 | — | flat |
| 18 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 18 | Iran (Islamic Republic of) | 0 1000 t | 2022 | — | volatile |
| 18 | Republic of Korea | 0 1000 t | 2023 | — | flat |
| 18 | Russian Federation | 0 1000 t | 2023 | — | flat |
| 18 | Syrian Arab Republic | 0 1000 t | 2021 | down 100.0% | volatile |
| 18 | Australia and New Zealand | 0 1000 t | 2023 | down 100.0% | volatile |
| 18 | China, Taiwan Province of | 0 1000 t | 2017 | — | volatile |
| 18 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 101 1000 t
- Americas 40 1000 t
- Asia 39 1000 t
- Northern America 23 1000 t
- United States of America 23 1000 t
- Land Locked Developing Countries (LLDCs) 20 1000 t
- South America 17 1000 t
- Central Asia 17 1000 t
- Africa 12 1000 t
- Europe 10 1000 t
- Western Asia 10 1000 t
- European Union (27) 9 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.