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 70 countries. The highest value is 663 1000 t in China; the lowest is 0 1000 t in Guatemala.
The median across all reporting countries is 0 1000 t, and the mean is 30.21 1000 t.
Over the past decade 10 countries rose and 23 fell. The largest increase was in Kenya (up 2,600.0%), and the largest decrease in Cyprus (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 | United States | 65 1000 t | 2023 | down 64.1% | volatile |
| 8 | Burkina Faso | 44 1000 t | 2023 | up 2,100.0% | volatile |
| 9 | Kenya | 27 1000 t | 2023 | up 2,600.0% | volatile |
| 10 | Türkiye | 23 1000 t | 2023 | up 15.0% | volatile |
| 10 | Turkey | 23 1000 t | 2023 | up 15.0% | volatile |
| 10 | Tajikistan | 23 1000 t | 2023 | up 2,200.0% | volatile |
| 13 | Spain | 22 1000 t | 2023 | down 53.2% | volatile |
| 14 | South Africa | 14 1000 t | 2023 | down 82.3% | volatile |
| 15 | United Arab Emirates | 10 1000 t | 2023 | down 28.6% | flat |
| 16 | Czechia | 9 1000 t | 2023 | up 350.0% | volatile |
| 17 | Viet Nam | 4 1000 t | 2023 | — | volatile |
| 17 | Vietnam | 4 1000 t | 2023 | — | volatile |
| 17 | Slovakia | 4 1000 t | 2023 | up 100.0% | volatile |
| 17 | Canada | 4 1000 t | 2023 | down 60.0% | falling |
| 17 | Oman | 4 1000 t | 2023 | — | volatile |
| 22 | Chile | 3 1000 t | 2023 | down 57.1% | volatile |
| 22 | Azerbaijan | 3 1000 t | 2023 | — | volatile |
| 22 | Uruguay | 3 1000 t | 2022 | — | volatile |
| 25 | Iran (Islamic Republic of) | 2 1000 t | 2023 | — | volatile |
| 25 | Syrian Arab Republic | 2 1000 t | 2023 | — | volatile |
| 25 | Zimbabwe | 2 1000 t | 2023 | — | volatile |
| 25 | Greece | 2 1000 t | 2023 | down 50.0% | volatile |
| 25 | Syria | 2 1000 t | 2023 | — | volatile |
| 25 | Kazakhstan | 2 1000 t | 2023 | — | volatile |
| 31 | Jordan | 1 1000 t | 2023 | — | volatile |
| 31 | Kyrgyzstan | 1 1000 t | 2023 | unchanged | volatile |
| 31 | Nigeria | 1 1000 t | 2023 | down 85.7% | volatile |
| 31 | Romania | 1 1000 t | 2023 | — | volatile |
| 35 | Cyprus | 0 1000 t | 2023 | down 100.0% | volatile |
| 35 | United Kingdom | 0 1000 t | 2023 | — | volatile |
| 35 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2022 | — | volatile |
| 35 | France | 0 1000 t | 2023 | down 100.0% | volatile |
| 35 | Australia | 0 1000 t | 2023 | — | volatile |
| 35 | Australia and New Zealand | 0 1000 t | 2023 | — | volatile |
| 35 | Colombia | 0 1000 t | 2023 | — | volatile |
| 35 | United Republic of Tanzania | 0 1000 t | 2023 | — | volatile |
| 35 | Bulgaria | 0 1000 t | 2023 | down 100.0% | volatile |
| 35 | China, Taiwan Province of | 0 1000 t | 2023 | down 100.0% | volatile |
| 35 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | — | volatile |
| 35 | Bangladesh | 0 1000 t | 2023 | — | volatile |
| 35 | Lebanon | 0 1000 t | 2023 | down 100.0% | volatile |
| 35 | El Salvador | 0 1000 t | 2018 | — | volatile |
| 35 | Morocco | 0 1000 t | 2023 | — | volatile |
| 35 | Madagascar | 0 1000 t | 2016 | down 100.0% | volatile |
| 35 | Mozambique | 0 1000 t | 2023 | — | volatile |
| 35 | Malawi | 0 1000 t | 2023 | down 100.0% | volatile |
| 35 | Malaysia | 0 1000 t | 2023 | down 100.0% | volatile |
| 35 | Namibia | 0 1000 t | 2023 | down 100.0% | volatile |
| 35 | Niger | 0 1000 t | 2023 | down 100.0% | volatile |
| 35 | Peru | 0 1000 t | 2023 | — | volatile |
| 35 | Portugal | 0 1000 t | 2023 | down 100.0% | volatile |
| 35 | Paraguay | 0 1000 t | 2023 | — | volatile |
| 35 | Senegal | 0 1000 t | 2022 | — | volatile |
| 35 | Ghana | 0 1000 t | 2023 | — | volatile |
| 35 | Israel | 0 1000 t | 2019 | — | volatile |
| 35 | Uganda | 0 1000 t | 2022 | — | volatile |
| 35 | Iraq | 0 1000 t | 2023 | — | volatile |
| 35 | Ireland | 0 1000 t | 2023 | — | volatile |
| 35 | Yemen | 0 1000 t | 2023 | — | volatile |
| 35 | India | 0 1000 t | 2023 | — | volatile |
| 35 | Zambia | 0 1000 t | 2023 | — | volatile |
| 35 | Hungary | 0 1000 t | 2022 | down 100.0% | volatile |
| 35 | Croatia | 0 1000 t | 2020 | — | volatile |
| 35 | Guatemala | 0 1000 t | 2022 | — | 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
- Central America 72 1000 t
- Northern America 69 1000 t
- United States of America 65 1000 t
- Western Africa 61 1000 t
- Least Developed Countries (LDCs) 60 1000 t
- Eastern Africa 29 1000 t
- Central Asia 26 1000 t
- Eastern Europe 15 1000 t
- Southern Africa 14 1000 t
- South-Eastern Asia 5 1000 t
- South America 3 1000 t
- Southern Asia 2 1000 t
- Northern Africa 1 1000 t
- Northern Europe 0 1000 t
- Western Europe 0 1000 t
- Oceania 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.