Cottonseed Oil — 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 Oil — Import quantity is currently reported for 167 countries. The highest value is 29 1000 t in Australia and New Zealand; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 0 1000 t, and the mean is 0.7605 1000 t.
Over the past decade 5 countries rose and 18 fell. The largest increase was in Australia (up 600.0%), and the largest decrease in United Arab Emirates (down 100.0%).
Cottonseed Oil — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Australia and New Zealand | 29 1000 t | 2023 | up 480.0% | volatile |
| 2 | Australia | 28 1000 t | 2023 | up 600.0% | volatile |
| 3 | Ethiopia | 26 1000 t | 2023 | — | volatile |
| 4 | Malaysia | 7 1000 t | 2023 | up 40.0% | rising |
| 5 | Nigeria | 5 1000 t | 2023 | — | volatile |
| 6 | Kyrgyzstan | 4 1000 t | 2023 | up 33.3% | rising |
| 7 | Spain | 3 1000 t | 2023 | — | volatile |
| 7 | Tajikistan | 3 1000 t | 2023 | down 91.2% | volatile |
| 7 | Uzbekistan | 3 1000 t | 2023 | — | volatile |
| 10 | Bulgaria | 2 1000 t | 2023 | up 100.0% | volatile |
| 10 | Greece | 2 1000 t | 2023 | — | volatile |
| 10 | Mexico | 2 1000 t | 2022 | down 91.7% | falling |
| 13 | Afghanistan | 1 1000 t | 2023 | — | volatile |
| 13 | Canada | 1 1000 t | 2023 | down 92.3% | volatile |
| 13 | Djibouti | 1 1000 t | 2023 | — | volatile |
| 13 | France | 1 1000 t | 2023 | — | volatile |
| 13 | Kenya | 1 1000 t | 2023 | — | volatile |
| 13 | Lesotho | 1 1000 t | 2023 | down 50.0% | volatile |
| 13 | New Zealand | 1 1000 t | 2023 | unchanged | rising |
| 13 | Saudi Arabia | 1 1000 t | 2023 | — | volatile |
| 13 | Uruguay | 1 1000 t | 2023 | — | volatile |
| 13 | Syrian Arab Republic | 1 1000 t | 2023 | unchanged | rising |
| 13 | Viet Nam | 1 1000 t | 2023 | — | volatile |
| 13 | Türkiye | 1 1000 t | 2023 | — | volatile |
| 13 | Netherlands (Kingdom of the) | 1 1000 t | 2023 | — | volatile |
| 26 | Angola | 0 1000 t | 2023 | — | flat |
| 26 | Albania | 0 1000 t | 2022 | — | flat |
| 26 | United Arab Emirates | 0 1000 t | 2023 | down 100.0% | volatile |
| 26 | Argentina | 0 1000 t | 2023 | — | flat |
| 26 | Armenia | 0 1000 t | 2023 | — | flat |
| 26 | Antigua and Barbuda | 0 1000 t | 2022 | — | flat |
| 26 | Austria | 0 1000 t | 2023 | — | flat |
| 26 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 26 | Belgium | 0 1000 t | 2023 | down 100.0% | volatile |
| 26 | Burkina Faso | 0 1000 t | 2022 | down 100.0% | volatile |
| 26 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 26 | Bahrain | 0 1000 t | 2023 | — | flat |
| 26 | Bahamas | 0 1000 t | 2023 | — | flat |
| 26 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 26 | Belarus | 0 1000 t | 2023 | — | volatile |
| 26 | Belize | 0 1000 t | 2022 | — | flat |
| 26 | Brazil | 0 1000 t | 2023 | — | volatile |
| 26 | Barbados | 0 1000 t | 2023 | — | flat |
| 26 | Botswana | 0 1000 t | 2023 | down 100.0% | volatile |
| 26 | Switzerland | 0 1000 t | 2023 | — | flat |
| 26 | Chile | 0 1000 t | 2023 | — | flat |
| 26 | China | 0 1000 t | 2023 | down 100.0% | volatile |
| 26 | Cameroon | 0 1000 t | 2022 | — | flat |
| 26 | Congo | 0 1000 t | 2023 | down 100.0% | volatile |
| 26 | Colombia | 0 1000 t | 2023 | — | volatile |
| 26 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 26 | Cuba | 0 1000 t | 2015 | — | flat |
| 26 | Cyprus | 0 1000 t | 2023 | — | flat |
| 26 | Czechia | 0 1000 t | 2023 | — | flat |
| 26 | Germany | 0 1000 t | 2023 | — | volatile |
| 26 | Denmark | 0 1000 t | 2023 | — | flat |
| 26 | Dominican Republic | 0 1000 t | 2023 | — | flat |
| 26 | Algeria | 0 1000 t | 2023 | — | flat |
| 26 | Ecuador | 0 1000 t | 2023 | — | flat |
| 26 | Egypt | 0 1000 t | 2021 | — | volatile |
| 26 | Estonia | 0 1000 t | 2022 | — | flat |
| 26 | Finland | 0 1000 t | 2021 | — | flat |
| 26 | Fiji | 0 1000 t | 2023 | — | flat |
| 26 | Gabon | 0 1000 t | 2023 | — | flat |
| 26 | Georgia | 0 1000 t | 2023 | — | flat |
| 26 | Ghana | 0 1000 t | 2023 | — | volatile |
| 26 | Guinea | 0 1000 t | 2023 | — | flat |
| 26 | Gambia | 0 1000 t | 2021 | — | flat |
| 26 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 26 | Grenada | 0 1000 t | 2023 | — | flat |
| 26 | Guatemala | 0 1000 t | 2023 | — | flat |
| 26 | Guyana | 0 1000 t | 2023 | — | flat |
| 26 | Honduras | 0 1000 t | 2023 | — | flat |
| 26 | Croatia | 0 1000 t | 2023 | — | flat |
| 26 | Haiti | 0 1000 t | 2023 | — | flat |
| 26 | Hungary | 0 1000 t | 2022 | — | flat |
| 26 | Indonesia | 0 1000 t | 2023 | — | flat |
| 26 | India | 0 1000 t | 2023 | — | volatile |
| 26 | Ireland | 0 1000 t | 2023 | — | flat |
| 26 | Iraq | 0 1000 t | 2023 | — | flat |
| 26 | Iceland | 0 1000 t | 2023 | — | flat |
| 26 | Israel | 0 1000 t | 2023 | — | flat |
| 26 | Italy | 0 1000 t | 2023 | — | flat |
| 26 | Jamaica | 0 1000 t | 2023 | — | flat |
| 26 | Jordan | 0 1000 t | 2022 | — | flat |
| 26 | Kazakhstan | 0 1000 t | 2023 | — | flat |
| 26 | Cambodia | 0 1000 t | 2023 | — | flat |
| 26 | Saint Kitts and Nevis | 0 1000 t | 2017 | — | flat |
| 26 | Kuwait | 0 1000 t | 2023 | — | flat |
| 26 | Lebanon | 0 1000 t | 2023 | — | flat |
| 26 | Liberia | 0 1000 t | 2021 | — | flat |
| 26 | Libya | 0 1000 t | 2022 | — | volatile |
| 26 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 26 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 26 | Lithuania | 0 1000 t | 2023 | — | flat |
| 26 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 26 | Latvia | 0 1000 t | 2023 | — | flat |
| 26 | Morocco | 0 1000 t | 2023 | — | flat |
| 26 | Madagascar | 0 1000 t | 2023 | — | flat |
| 26 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 26 | North Macedonia | 0 1000 t | 2018 | — | flat |
| 26 | Malta | 0 1000 t | 2022 | — | flat |
| 26 | Montenegro | 0 1000 t | 2023 | — | flat |
| 26 | Mongolia | 0 1000 t | 2022 | — | flat |
| 26 | Mozambique | 0 1000 t | 2023 | — | flat |
| 26 | Mauritius | 0 1000 t | 2023 | — | volatile |
| 26 | Malawi | 0 1000 t | 2023 | down 100.0% | volatile |
| 26 | Namibia | 0 1000 t | 2023 | down 100.0% | volatile |
| 26 | New Caledonia | 0 1000 t | 2022 | — | flat |
| 26 | Niger | 0 1000 t | 2023 | — | flat |
| 26 | Nicaragua | 0 1000 t | 2019 | — | flat |
| 26 | Norway | 0 1000 t | 2023 | — | flat |
| 26 | Nepal | 0 1000 t | 2019 | — | flat |
| 26 | Oman | 0 1000 t | 2023 | — | flat |
| 26 | Pakistan | 0 1000 t | 2023 | — | flat |
| 26 | Panama | 0 1000 t | 2019 | — | flat |
| 26 | Peru | 0 1000 t | 2023 | — | flat |
| 26 | Philippines | 0 1000 t | 2022 | — | flat |
| 26 | Papua New Guinea | 0 1000 t | 2021 | — | flat |
| 26 | Poland | 0 1000 t | 2023 | — | flat |
| 26 | Portugal | 0 1000 t | 2023 | — | flat |
| 26 | Paraguay | 0 1000 t | 2023 | — | flat |
| 26 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 26 | Romania | 0 1000 t | 2023 | down 100.0% | volatile |
| 26 | Rwanda | 0 1000 t | 2022 | — | volatile |
| 26 | Senegal | 0 1000 t | 2023 | — | volatile |
| 26 | Solomon Islands | 0 1000 t | 2018 | — | flat |
| 26 | Sierra Leone | 0 1000 t | 2022 | — | flat |
| 26 | El Salvador | 0 1000 t | 2023 | — | flat |
| 26 | Serbia | 0 1000 t | 2023 | — | flat |
| 26 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 26 | Suriname | 0 1000 t | 2022 | — | flat |
| 26 | Slovakia | 0 1000 t | 2023 | — | flat |
| 26 | Slovenia | 0 1000 t | 2023 | — | flat |
| 26 | Sweden | 0 1000 t | 2023 | — | volatile |
| 26 | Eswatini | 0 1000 t | 2023 | — | flat |
| 26 | Seychelles | 0 1000 t | 2023 | — | flat |
| 26 | Thailand | 0 1000 t | 2023 | — | flat |
| 26 | Trinidad and Tobago | 0 1000 t | 2021 | — | volatile |
| 26 | Tunisia | 0 1000 t | 2023 | — | flat |
| 26 | Uganda | 0 1000 t | 2022 | down 100.0% | volatile |
| 26 | Ukraine | 0 1000 t | 2023 | — | flat |
| 26 | Saint Vincent and the Grenadines | 0 1000 t | 2021 | — | flat |
| 26 | Vanuatu | 0 1000 t | 2020 | — | flat |
| 26 | Yemen | 0 1000 t | 2020 | — | flat |
| 26 | Zambia | 0 1000 t | 2023 | — | volatile |
| 26 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 26 | Micronesia | 0 1000 t | 2023 | — | flat |
| 26 | Timor-Leste | 0 1000 t | 2022 | — | flat |
| 26 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 26 | Melanesia | 0 1000 t | 2023 | — | flat |
| 26 | Polynesia | 0 1000 t | 2023 | — | flat |
| 26 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | volatile |
| 26 | Caribbean | 0 1000 t | 2023 | down 100.0% | volatile |
| 26 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | flat |
| 26 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 26 | Iran (Islamic Republic of) | 0 1000 t | 2022 | — | flat |
| 26 | Republic of Korea | 0 1000 t | 2023 | down 100.0% | volatile |
| 26 | Russian Federation | 0 1000 t | 2023 | — | flat |
| 26 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | flat |
| 26 | China, mainland | 0 1000 t | 2023 | — | flat |
| 26 | Côte d'Ivoire | 0 1000 t | 2022 | — | flat |
| 26 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | volatile |
| 26 | United Republic of Tanzania | 0 1000 t | 2023 | down 100.0% | volatile |
| 26 | China, Taiwan Province of | 0 1000 t | 2023 | down 100.0% | volatile |
| 26 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | — | flat |
| 26 | China, Macao SAR | 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 104 1000 t
- Low Income Food Deficit Countries (LIFDCs) 43 1000 t
- Land Locked Developing Countries (LLDCs) 41 1000 t
- Africa 38 1000 t
- Net Food Importing Developing Countries (NFIDCs) 34 1000 t
- Least Developed Countries (LDCs) 32 1000 t
- Oceania 29 1000 t
- Eastern Africa 28 1000 t
- Asia 22 1000 t
- Central Asia 10 1000 t
- European Union (27) 8 1000 t
- Europe 8 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.