Cottonseed — Import 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 — Import quantity is currently reported for 134 countries. The highest value is 663 1000 t in China; 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 14.98 1000 t.
Over the past decade 9 countries rose and 21 fell. The largest increase was in Kenya (up 2,600.0%), and the largest decrease in Bulgaria (down 100.0%).
Cottonseed — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 663 1000 t | 2023 | up 360.4% | volatile |
| 1 | China, mainland | 663 1000 t | 2023 | up 363.6% | volatile |
| 3 | Saudi Arabia | 150 1000 t | 2023 | up 82.9% | rising |
| 4 | Republic of Korea | 148 1000 t | 2023 | down 2.6% | rising |
| 5 | Italy | 114 1000 t | 2023 | down 16.2% | falling |
| 6 | Mexico | 72 1000 t | 2023 | down 39.0% | falling |
| 7 | Burkina Faso | 44 1000 t | 2023 | up 2,100.0% | volatile |
| 8 | Kenya | 27 1000 t | 2023 | up 2,600.0% | volatile |
| 9 | Tajikistan | 23 1000 t | 2023 | up 2,200.0% | volatile |
| 9 | Türkiye | 23 1000 t | 2023 | up 15.0% | volatile |
| 11 | Spain | 22 1000 t | 2023 | down 53.2% | volatile |
| 12 | United Arab Emirates | 10 1000 t | 2023 | down 28.6% | flat |
| 13 | Czechia | 9 1000 t | 2023 | up 350.0% | volatile |
| 14 | Canada | 4 1000 t | 2023 | down 60.0% | falling |
| 14 | Oman | 4 1000 t | 2023 | — | volatile |
| 14 | Slovakia | 4 1000 t | 2023 | up 100.0% | volatile |
| 14 | Viet Nam | 4 1000 t | 2023 | — | volatile |
| 18 | Azerbaijan | 3 1000 t | 2023 | — | volatile |
| 18 | Chile | 3 1000 t | 2023 | down 57.1% | volatile |
| 18 | Uruguay | 3 1000 t | 2022 | — | volatile |
| 21 | Greece | 2 1000 t | 2023 | down 50.0% | volatile |
| 21 | Kazakhstan | 2 1000 t | 2023 | — | volatile |
| 21 | Zimbabwe | 2 1000 t | 2023 | — | volatile |
| 21 | Iran (Islamic Republic of) | 2 1000 t | 2023 | — | volatile |
| 21 | Syrian Arab Republic | 2 1000 t | 2023 | — | volatile |
| 26 | Jordan | 1 1000 t | 2023 | — | volatile |
| 26 | Kyrgyzstan | 1 1000 t | 2023 | unchanged | volatile |
| 26 | Nigeria | 1 1000 t | 2023 | down 85.7% | volatile |
| 26 | Romania | 1 1000 t | 2023 | — | volatile |
| 30 | Afghanistan | 0 1000 t | 2023 | — | flat |
| 30 | Angola | 0 1000 t | 2023 | — | flat |
| 30 | Argentina | 0 1000 t | 2023 | — | flat |
| 30 | Australia | 0 1000 t | 2023 | — | volatile |
| 30 | Austria | 0 1000 t | 2023 | — | flat |
| 30 | Belgium | 0 1000 t | 2023 | — | flat |
| 30 | Bangladesh | 0 1000 t | 2023 | — | volatile |
| 30 | Bulgaria | 0 1000 t | 2023 | down 100.0% | volatile |
| 30 | Bahrain | 0 1000 t | 2023 | — | flat |
| 30 | Bahamas | 0 1000 t | 2023 | — | flat |
| 30 | Bosnia and Herzegovina | 0 1000 t | 2022 | — | flat |
| 30 | Brazil | 0 1000 t | 2022 | — | flat |
| 30 | Barbados | 0 1000 t | 2023 | — | flat |
| 30 | Bhutan | 0 1000 t | 2023 | — | flat |
| 30 | Botswana | 0 1000 t | 2023 | — | flat |
| 30 | Switzerland | 0 1000 t | 2023 | — | flat |
| 30 | Cameroon | 0 1000 t | 2019 | — | flat |
| 30 | Colombia | 0 1000 t | 2023 | — | volatile |
| 30 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 30 | Cyprus | 0 1000 t | 2023 | down 100.0% | volatile |
| 30 | Germany | 0 1000 t | 2022 | — | flat |
| 30 | Denmark | 0 1000 t | 2023 | — | flat |
| 30 | Dominican Republic | 0 1000 t | 2023 | — | flat |
| 30 | Algeria | 0 1000 t | 2023 | — | flat |
| 30 | Ecuador | 0 1000 t | 2023 | — | flat |
| 30 | Egypt | 0 1000 t | 2023 | — | flat |
| 30 | Estonia | 0 1000 t | 2022 | — | flat |
| 30 | Ethiopia | 0 1000 t | 2023 | — | flat |
| 30 | Finland | 0 1000 t | 2021 | — | flat |
| 30 | Fiji | 0 1000 t | 2023 | — | flat |
| 30 | France | 0 1000 t | 2023 | down 100.0% | volatile |
| 30 | Ghana | 0 1000 t | 2023 | — | volatile |
| 30 | Guinea | 0 1000 t | 2017 | — | flat |
| 30 | Guatemala | 0 1000 t | 2022 | — | volatile |
| 30 | Guyana | 0 1000 t | 2023 | — | flat |
| 30 | Honduras | 0 1000 t | 2023 | — | flat |
| 30 | Croatia | 0 1000 t | 2020 | — | volatile |
| 30 | Hungary | 0 1000 t | 2022 | down 100.0% | volatile |
| 30 | Indonesia | 0 1000 t | 2022 | — | flat |
| 30 | India | 0 1000 t | 2023 | — | volatile |
| 30 | Ireland | 0 1000 t | 2023 | — | volatile |
| 30 | Iraq | 0 1000 t | 2023 | — | volatile |
| 30 | Iceland | 0 1000 t | 2023 | — | flat |
| 30 | Israel | 0 1000 t | 2019 | — | volatile |
| 30 | Jamaica | 0 1000 t | 2019 | — | flat |
| 30 | Saint Kitts and Nevis | 0 1000 t | 2014 | — | flat |
| 30 | Kuwait | 0 1000 t | 2023 | — | flat |
| 30 | Lebanon | 0 1000 t | 2023 | down 100.0% | volatile |
| 30 | Libya | 0 1000 t | 2023 | — | flat |
| 30 | Sri Lanka | 0 1000 t | 2021 | — | flat |
| 30 | Lesotho | 0 1000 t | 2023 | — | flat |
| 30 | Lithuania | 0 1000 t | 2023 | — | flat |
| 30 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 30 | Latvia | 0 1000 t | 2023 | — | flat |
| 30 | Morocco | 0 1000 t | 2023 | — | volatile |
| 30 | Madagascar | 0 1000 t | 2016 | down 100.0% | volatile |
| 30 | Maldives | 0 1000 t | 2023 | — | flat |
| 30 | North Macedonia | 0 1000 t | 2014 | — | flat |
| 30 | Malta | 0 1000 t | 2023 | — | flat |
| 30 | Myanmar | 0 1000 t | 2023 | — | flat |
| 30 | Montenegro | 0 1000 t | 2023 | — | flat |
| 30 | Mozambique | 0 1000 t | 2023 | — | volatile |
| 30 | Mauritania | 0 1000 t | 2023 | — | flat |
| 30 | Mauritius | 0 1000 t | 2023 | — | flat |
| 30 | Malawi | 0 1000 t | 2023 | down 100.0% | volatile |
| 30 | Malaysia | 0 1000 t | 2023 | down 100.0% | volatile |
| 30 | Namibia | 0 1000 t | 2023 | down 100.0% | volatile |
| 30 | Niger | 0 1000 t | 2023 | down 100.0% | volatile |
| 30 | Norway | 0 1000 t | 2022 | — | flat |
| 30 | Nepal | 0 1000 t | 2022 | — | flat |
| 30 | New Zealand | 0 1000 t | 2023 | — | flat |
| 30 | Pakistan | 0 1000 t | 2021 | — | flat |
| 30 | Panama | 0 1000 t | 2020 | — | flat |
| 30 | Peru | 0 1000 t | 2023 | — | volatile |
| 30 | Philippines | 0 1000 t | 2021 | — | flat |
| 30 | Papua New Guinea | 0 1000 t | 2022 | — | flat |
| 30 | Poland | 0 1000 t | 2023 | — | flat |
| 30 | Portugal | 0 1000 t | 2023 | down 100.0% | volatile |
| 30 | Paraguay | 0 1000 t | 2023 | — | volatile |
| 30 | Rwanda | 0 1000 t | 2021 | — | flat |
| 30 | Senegal | 0 1000 t | 2022 | — | volatile |
| 30 | El Salvador | 0 1000 t | 2018 | — | volatile |
| 30 | Sweden | 0 1000 t | 2023 | — | flat |
| 30 | Eswatini | 0 1000 t | 2023 | — | flat |
| 30 | Thailand | 0 1000 t | 2023 | — | flat |
| 30 | Tunisia | 0 1000 t | 2023 | — | flat |
| 30 | Uganda | 0 1000 t | 2022 | — | volatile |
| 30 | Uzbekistan | 0 1000 t | 2023 | — | flat |
| 30 | Vanuatu | 0 1000 t | 2015 | — | flat |
| 30 | Samoa | 0 1000 t | 2021 | — | flat |
| 30 | Yemen | 0 1000 t | 2023 | — | volatile |
| 30 | Zambia | 0 1000 t | 2023 | — | volatile |
| 30 | Melanesia | 0 1000 t | 2023 | — | flat |
| 30 | Polynesia | 0 1000 t | 2021 | — | flat |
| 30 | Democratic Republic of the Congo | 0 1000 t | 2022 | — | flat |
| 30 | Caribbean | 0 1000 t | 2023 | — | flat |
| 30 | China, Hong Kong SAR | 0 1000 t | 2014 | — | flat |
| 30 | Russian Federation | 0 1000 t | 2021 | — | flat |
| 30 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2022 | — | volatile |
| 30 | Australia and New Zealand | 0 1000 t | 2023 | — | volatile |
| 30 | Côte d'Ivoire | 0 1000 t | 2023 | — | flat |
| 30 | United Republic of Tanzania | 0 1000 t | 2023 | — | volatile |
| 30 | China, Taiwan Province of | 0 1000 t | 2023 | down 100.0% | volatile |
| 30 | Netherlands (Kingdom of the) | 0 1000 t | 2023 | — | flat |
| 30 | United Kingdom of Great Britain and Northern Ireland | 0 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 1,535 1000 t
- Asia 1,132 1000 t
- Eastern Asia 900 1000 t
- Western Asia 199 1000 t
- European Union (27) 153 1000 t
- Europe 153 1000 t
- Americas 145 1000 t
- Southern Europe 138 1000 t
- Low Income Food Deficit Countries (LIFDCs) 116 1000 t
- Africa 106 1000 t
- Land Locked Developing Countries (LLDCs) 91 1000 t
- Net Food Importing Developing Countries (NFIDCs) 89 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.