Cottonseed — 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 — Export quantity is currently reported for 95 countries. The highest value is 701 1000 t in Australia; 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 18.03 1000 t.
Over the past decade 6 countries rose and 23 fell. The largest increase was in Kazakhstan (up 2,800.0%), and the largest decrease in Burkina Faso (down 100.0%).
Cottonseed — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Australia | 701 1000 t | 2023 | up 34.5% | volatile |
| 1 | Australia and New Zealand | 701 1000 t | 2023 | up 34.5% | volatile |
| 3 | Greece | 186 1000 t | 2023 | down 1.1% | rising |
| 4 | Kazakhstan | 29 1000 t | 2023 | up 2,800.0% | volatile |
| 5 | Azerbaijan | 19 1000 t | 2023 | — | volatile |
| 6 | United Republic of Tanzania | 15 1000 t | 2023 | — | volatile |
| 7 | Brazil | 10 1000 t | 2023 | up 900.0% | volatile |
| 8 | Syrian Arab Republic | 7 1000 t | 2023 | — | volatile |
| 9 | Malawi | 6 1000 t | 2023 | down 40.0% | volatile |
| 10 | Indonesia | 5 1000 t | 2023 | up 400.0% | volatile |
| 10 | Uganda | 5 1000 t | 2023 | down 66.7% | volatile |
| 10 | Zambia | 5 1000 t | 2023 | down 88.9% | volatile |
| 10 | Türkiye | 5 1000 t | 2023 | up 400.0% | volatile |
| 14 | Argentina | 4 1000 t | 2022 | down 66.7% | volatile |
| 14 | Mozambique | 4 1000 t | 2023 | down 84.0% | volatile |
| 16 | Ethiopia | 3 1000 t | 2023 | — | volatile |
| 17 | Guinea | 2 1000 t | 2019 | — | volatile |
| 18 | Spain | 1 1000 t | 2023 | down 66.7% | falling |
| 18 | Malaysia | 1 1000 t | 2023 | — | volatile |
| 18 | Nigeria | 1 1000 t | 2023 | down 88.9% | falling |
| 18 | Uzbekistan | 1 1000 t | 2023 | — | volatile |
| 18 | Republic of Korea | 1 1000 t | 2023 | — | volatile |
| 18 | Côte d'Ivoire | 1 1000 t | 2022 | down 98.9% | volatile |
| 24 | Afghanistan | 0 1000 t | 2021 | — | flat |
| 24 | United Arab Emirates | 0 1000 t | 2023 | — | flat |
| 24 | Antigua and Barbuda | 0 1000 t | 2014 | — | flat |
| 24 | Austria | 0 1000 t | 2023 | — | flat |
| 24 | Belgium | 0 1000 t | 2023 | — | flat |
| 24 | Burkina Faso | 0 1000 t | 2022 | down 100.0% | volatile |
| 24 | Bulgaria | 0 1000 t | 2023 | — | volatile |
| 24 | Barbados | 0 1000 t | 2017 | — | flat |
| 24 | Botswana | 0 1000 t | 2014 | — | flat |
| 24 | Canada | 0 1000 t | 2023 | — | volatile |
| 24 | Switzerland | 0 1000 t | 2018 | — | flat |
| 24 | Chile | 0 1000 t | 2023 | — | flat |
| 24 | China | 0 1000 t | 2023 | down 100.0% | volatile |
| 24 | Cameroon | 0 1000 t | 2023 | — | volatile |
| 24 | Costa Rica | 0 1000 t | 2023 | down 100.0% | volatile |
| 24 | Czechia | 0 1000 t | 2023 | — | flat |
| 24 | Germany | 0 1000 t | 2017 | — | flat |
| 24 | Denmark | 0 1000 t | 2023 | — | flat |
| 24 | Egypt | 0 1000 t | 2022 | — | flat |
| 24 | Estonia | 0 1000 t | 2023 | — | flat |
| 24 | Finland | 0 1000 t | 2016 | — | flat |
| 24 | France | 0 1000 t | 2023 | — | flat |
| 24 | Ghana | 0 1000 t | 2022 | down 100.0% | volatile |
| 24 | Guatemala | 0 1000 t | 2023 | — | flat |
| 24 | Hungary | 0 1000 t | 2022 | — | flat |
| 24 | India | 0 1000 t | 2023 | down 100.0% | volatile |
| 24 | Ireland | 0 1000 t | 2019 | — | flat |
| 24 | Israel | 0 1000 t | 2023 | down 100.0% | falling |
| 24 | Italy | 0 1000 t | 2023 | down 100.0% | volatile |
| 24 | Jordan | 0 1000 t | 2023 | — | flat |
| 24 | Kenya | 0 1000 t | 2023 | — | flat |
| 24 | Kyrgyzstan | 0 1000 t | 2022 | — | flat |
| 24 | Kuwait | 0 1000 t | 2018 | — | volatile |
| 24 | Lebanon | 0 1000 t | 2023 | — | flat |
| 24 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 24 | Lithuania | 0 1000 t | 2023 | — | flat |
| 24 | Latvia | 0 1000 t | 2023 | — | flat |
| 24 | Morocco | 0 1000 t | 2015 | — | flat |
| 24 | Mexico | 0 1000 t | 2022 | down 100.0% | volatile |
| 24 | Myanmar | 0 1000 t | 2023 | — | volatile |
| 24 | Mauritius | 0 1000 t | 2020 | — | flat |
| 24 | Namibia | 0 1000 t | 2023 | down 100.0% | volatile |
| 24 | Niger | 0 1000 t | 2022 | — | flat |
| 24 | Nicaragua | 0 1000 t | 2019 | — | volatile |
| 24 | Nepal | 0 1000 t | 2019 | — | flat |
| 24 | Pakistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 24 | Peru | 0 1000 t | 2021 | — | flat |
| 24 | Philippines | 0 1000 t | 2023 | — | flat |
| 24 | Poland | 0 1000 t | 2023 | — | flat |
| 24 | Portugal | 0 1000 t | 2023 | — | flat |
| 24 | Paraguay | 0 1000 t | 2023 | — | volatile |
| 24 | Romania | 0 1000 t | 2021 | — | volatile |
| 24 | Saudi Arabia | 0 1000 t | 2023 | — | flat |
| 24 | Senegal | 0 1000 t | 2023 | down 100.0% | volatile |
| 24 | Slovakia | 0 1000 t | 2023 | — | volatile |
| 24 | Sweden | 0 1000 t | 2023 | — | flat |
| 24 | Eswatini | 0 1000 t | 2023 | — | volatile |
| 24 | Thailand | 0 1000 t | 2023 | — | flat |
| 24 | Turkmenistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 24 | Yemen | 0 1000 t | 2021 | — | flat |
| 24 | Zimbabwe | 0 1000 t | 2023 | down 100.0% | volatile |
| 24 | Democratic Republic of the Congo | 0 1000 t | 2022 | — | flat |
| 24 | Caribbean | 0 1000 t | 2023 | — | flat |
| 24 | Bolivia (Plurinational State of) | 0 1000 t | 2019 | — | flat |
| 24 | China, Hong Kong SAR | 0 1000 t | 2019 | — | flat |
| 24 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | flat |
| 24 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2016 | — | flat |
| 24 | Viet Nam | 0 1000 t | 2023 | — | flat |
| 24 | China, mainland | 0 1000 t | 2023 | down 100.0% | volatile |
| 24 | China, Taiwan Province of | 0 1000 t | 2018 | — | flat |
| 24 | Netherlands (Kingdom of the) | 0 1000 t | 2023 | — | flat |
| 24 | 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 1,473 1000 t
- Oceania 701 1000 t
- Americas 335 1000 t
- Northern America 324 1000 t
- United States of America 324 1000 t
- European Union (27) 188 1000 t
- Europe 188 1000 t
- Southern Europe 187 1000 t
- Low Income Food Deficit Countries (LIFDCs) 181 1000 t
- Africa 179 1000 t
- Net Food Importing Developing Countries (NFIDCs) 178 1000 t
- Least Developed Countries (LDCs) 177 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.