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 61 countries. The highest value is 29 1000 t in Australia and New Zealand; the lowest is 0 1000 t in Egypt.
The median across all reporting countries is 0 1000 t, and the mean is 2.2 1000 t.
Over the past decade 5 countries rose and 20 fell. The largest increase was in Australia (up 600.0%), and the largest decrease in China, Taiwan Province of (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 | United States | 4 1000 t | 2023 | down 66.7% | volatile |
| 6 | Kyrgyzstan | 4 1000 t | 2023 | up 33.3% | rising |
| 8 | Uzbekistan | 3 1000 t | 2023 | — | volatile |
| 8 | Spain | 3 1000 t | 2023 | — | volatile |
| 8 | Tajikistan | 3 1000 t | 2023 | down 91.2% | volatile |
| 11 | Greece | 2 1000 t | 2023 | — | volatile |
| 11 | Bulgaria | 2 1000 t | 2023 | up 100.0% | volatile |
| 11 | Mexico | 2 1000 t | 2022 | down 91.7% | falling |
| 14 | Uruguay | 1 1000 t | 2023 | — | volatile |
| 14 | Turkey | 1 1000 t | 2023 | — | volatile |
| 14 | Canada | 1 1000 t | 2023 | down 92.3% | volatile |
| 14 | Syria | 1 1000 t | 2023 | unchanged | rising |
| 14 | Vietnam | 1 1000 t | 2023 | — | volatile |
| 14 | Syrian Arab Republic | 1 1000 t | 2023 | unchanged | rising |
| 14 | Viet Nam | 1 1000 t | 2023 | — | volatile |
| 14 | Türkiye | 1 1000 t | 2023 | — | volatile |
| 14 | Netherlands (Kingdom of the) | 1 1000 t | 2023 | — | volatile |
| 14 | Afghanistan | 1 1000 t | 2023 | — | volatile |
| 14 | Kenya | 1 1000 t | 2023 | — | volatile |
| 14 | Djibouti | 1 1000 t | 2023 | — | volatile |
| 14 | Saudi Arabia | 1 1000 t | 2023 | — | volatile |
| 14 | France | 1 1000 t | 2023 | — | volatile |
| 14 | Lesotho | 1 1000 t | 2023 | down 50.0% | volatile |
| 14 | New Zealand | 1 1000 t | 2023 | unchanged | rising |
| 30 | China, Taiwan Province of | 0 1000 t | 2023 | down 100.0% | volatile |
| 30 | Congo | 0 1000 t | 2023 | down 100.0% | volatile |
| 30 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | volatile |
| 30 | Belgium | 0 1000 t | 2023 | down 100.0% | volatile |
| 30 | Burkina Faso | 0 1000 t | 2022 | down 100.0% | volatile |
| 30 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | volatile |
| 30 | United Arab Emirates | 0 1000 t | 2023 | down 100.0% | volatile |
| 30 | United Republic of Tanzania | 0 1000 t | 2023 | down 100.0% | volatile |
| 30 | Colombia | 0 1000 t | 2023 | — | volatile |
| 30 | China | 0 1000 t | 2023 | down 100.0% | volatile |
| 30 | Germany | 0 1000 t | 2023 | — | volatile |
| 30 | Botswana | 0 1000 t | 2023 | down 100.0% | volatile |
| 30 | Mauritius | 0 1000 t | 2023 | — | volatile |
| 30 | Senegal | 0 1000 t | 2023 | — | volatile |
| 30 | Sweden | 0 1000 t | 2023 | — | volatile |
| 30 | Rwanda | 0 1000 t | 2022 | — | volatile |
| 30 | Romania | 0 1000 t | 2023 | down 100.0% | volatile |
| 30 | Trinidad and Tobago | 0 1000 t | 2021 | — | volatile |
| 30 | Uganda | 0 1000 t | 2022 | down 100.0% | volatile |
| 30 | Namibia | 0 1000 t | 2023 | down 100.0% | volatile |
| 30 | Belarus | 0 1000 t | 2023 | — | volatile |
| 30 | Malawi | 0 1000 t | 2023 | down 100.0% | volatile |
| 30 | Republic of Korea | 0 1000 t | 2023 | down 100.0% | volatile |
| 30 | South Africa | 0 1000 t | 2023 | down 100.0% | volatile |
| 30 | Zambia | 0 1000 t | 2023 | — | volatile |
| 30 | Libya | 0 1000 t | 2022 | — | volatile |
| 30 | Laos | 0 1000 t | 2023 | — | volatile |
| 30 | India | 0 1000 t | 2023 | — | volatile |
| 30 | Ghana | 0 1000 t | 2023 | — | volatile |
| 30 | Caribbean | 0 1000 t | 2023 | down 100.0% | volatile |
| 30 | Brazil | 0 1000 t | 2023 | — | volatile |
| 30 | Egypt | 0 1000 t | 2021 | — | volatile |
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
- Western Africa 8 1000 t
- South-Eastern Asia 8 1000 t
- Europe 8 1000 t
- European Union (27) 8 1000 t
- Americas 7 1000 t
- Northern America 5 1000 t
- Southern Europe 5 1000 t
- United States of America 4 1000 t
- Western Asia 3 1000 t
- Southern Africa 2 1000 t
- Western Europe 2 1000 t
- Eastern Europe 2 1000 t
- Eastern Asia 1 1000 t
- Southern Asia 1 1000 t
- South America 1 1000 t
- Small island developing States (SIDS) 0 1000 t
- Northern Africa 0 1000 t
- Central America 0 1000 t
- Northern Europe 0 1000 t
- Middle Africa 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.