Cassava and products — 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
Cassava and products — Import quantity is currently reported for 130 countries. The highest value is 40,769 1000 t in China; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 4 1000 t, and the mean is 782.7 1000 t.
Over the past decade 47 countries rose and 37 fell. The largest increase was in Uganda (up 6,000.0%), and the largest decrease in Denmark (down 100.0%).
Cassava and products — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 40,769 1000 t | 2023 | up 14.8% | rising |
| 2 | China, mainland | 34,478 1000 t | 2023 | up 18.7% | rising |
| 3 | Thailand | 10,616 1000 t | 2023 | up 749.3% | volatile |
| 4 | China, Taiwan Province of | 6,282 1000 t | 2023 | down 2.4% | falling |
| 5 | Malaysia | 4,206 1000 t | 2023 | up 28.7% | rising |
| 6 | Vietnam | 1,264 1000 t | 2023 | up 232.6% | volatile |
| 6 | Viet Nam | 1,264 1000 t | 2023 | up 232.6% | volatile |
| 8 | Philippines | 761 1000 t | 2023 | up 115.6% | rising |
| 9 | Laos | 211 1000 t | 2023 | up 1,306.7% | volatile |
| 9 | Lao People's Democratic Republic | 211 1000 t | 2023 | up 1,306.7% | volatile |
| 11 | United States | 204 1000 t | 2023 | up 22.2% | rising |
| 12 | Argentina | 171 1000 t | 2023 | up 94.3% | volatile |
| 13 | Burkina Faso | 160 1000 t | 2023 | up 1,233.3% | volatile |
| 14 | Indonesia | 144 1000 t | 2023 | down 86.9% | volatile |
| 15 | Colombia | 66 1000 t | 2023 | up 144.4% | volatile |
| 16 | Uganda | 61 1000 t | 2023 | up 6,000.0% | volatile |
| 17 | Myanmar | 51 1000 t | 2023 | up 1,600.0% | volatile |
| 18 | Bolivia (Plurinational State of) | 47 1000 t | 2023 | up 104.3% | rising |
| 18 | Netherlands (Kingdom of the) | 47 1000 t | 2023 | up 123.8% | rising |
| 20 | Rwanda | 43 1000 t | 2023 | down 55.2% | volatile |
| 21 | El Salvador | 40 1000 t | 2023 | up 25.0% | rising |
| 22 | Republic of Korea | 35 1000 t | 2023 | down 94.3% | falling |
| 23 | Mauritius | 30 1000 t | 2023 | up 400.0% | volatile |
| 24 | Caribbean | 26 1000 t | 2023 | up 116.7% | rising |
| 25 | Canada | 25 1000 t | 2023 | down 87.2% | volatile |
| 25 | United Kingdom | 25 1000 t | 2023 | up 177.8% | rising |
| 25 | United Kingdom of Great Britain and Northern Ireland | 25 1000 t | 2023 | up 177.8% | rising |
| 28 | Bangladesh | 23 1000 t | 2023 | down 37.8% | falling |
| 28 | Qatar | 23 1000 t | 2023 | — | falling |
| 30 | Australia and New Zealand | 22 1000 t | 2023 | down 26.7% | flat |
| 31 | Dominican Republic | 20 1000 t | 2023 | up 150.0% | rising |
| 32 | Spain | 18 1000 t | 2023 | up 100.0% | rising |
| 32 | France | 18 1000 t | 2023 | up 38.5% | rising |
| 34 | Honduras | 17 1000 t | 2023 | up 1,600.0% | volatile |
| 34 | Sri Lanka | 17 1000 t | 2023 | down 37.0% | falling |
| 34 | Panama | 17 1000 t | 2023 | up 70.0% | rising |
| 34 | South Africa | 17 1000 t | 2023 | up 13.3% | falling |
| 38 | Australia | 16 1000 t | 2023 | down 30.4% | rising |
| 38 | Costa Rica | 16 1000 t | 2023 | unchanged | rising |
| 40 | Paraguay | 13 1000 t | 2023 | — | volatile |
| 41 | Germany | 12 1000 t | 2023 | up 20.0% | rising |
| 42 | Melanesia | 11 1000 t | 2023 | down 15.4% | volatile |
| 43 | Ecuador | 10 1000 t | 2023 | up 66.7% | rising |
| 43 | Italy | 10 1000 t | 2023 | up 400.0% | rising |
| 45 | Belgium | 9 1000 t | 2023 | up 80.0% | rising |
| 45 | Brazil | 9 1000 t | 2023 | down 90.1% | volatile |
| 45 | India | 9 1000 t | 2023 | down 88.6% | volatile |
| 45 | Democratic Republic of the Congo | 9 1000 t | 2023 | up 80.0% | volatile |
| 45 | China, Hong Kong SAR | 9 1000 t | 2023 | down 60.9% | falling |
| 50 | Senegal | 8 1000 t | 2023 | down 11.1% | falling |
| 51 | United Arab Emirates | 7 1000 t | 2023 | up 16.7% | falling |
| 51 | Chile | 7 1000 t | 2023 | unchanged | rising |
| 51 | Ghana | 7 1000 t | 2023 | up 250.0% | volatile |
| 51 | Peru | 7 1000 t | 2023 | up 40.0% | rising |
| 51 | Venezuela (Bolivarian Republic of) | 7 1000 t | 2023 | down 30.0% | volatile |
| 56 | Fiji | 6 1000 t | 2023 | down 14.3% | rising |
| 56 | New Zealand | 6 1000 t | 2023 | down 14.3% | falling |
| 56 | Portugal | 6 1000 t | 2023 | up 200.0% | volatile |
| 59 | Guatemala | 5 1000 t | 2023 | up 400.0% | volatile |
| 59 | Cambodia | 5 1000 t | 2023 | — | volatile |
| 59 | Niger | 5 1000 t | 2023 | unchanged | volatile |
| 59 | Oman | 5 1000 t | 2023 | up 400.0% | volatile |
| 59 | Pakistan | 5 1000 t | 2023 | up 400.0% | volatile |
| 64 | Algeria | 4 1000 t | 2023 | — | volatile |
| 64 | Papua New Guinea | 4 1000 t | 2023 | down 33.3% | volatile |
| 64 | Sweden | 4 1000 t | 2023 | up 33.3% | rising |
| 67 | Angola | 3 1000 t | 2023 | — | volatile |
| 67 | Gambia | 3 1000 t | 2023 | up 200.0% | volatile |
| 67 | Mexico | 3 1000 t | 2023 | down 50.0% | falling |
| 67 | Poland | 3 1000 t | 2023 | — | volatile |
| 67 | French Polynesia | 3 1000 t | 2023 | unchanged | rising |
| 67 | Trinidad and Tobago | 3 1000 t | 2023 | up 50.0% | rising |
| 67 | Polynesia | 3 1000 t | 2023 | unchanged | rising |
| 74 | Austria | 2 1000 t | 2023 | — | volatile |
| 74 | Switzerland | 2 1000 t | 2023 | unchanged | falling |
| 74 | Cameroon | 2 1000 t | 2023 | — | volatile |
| 74 | Guyana | 2 1000 t | 2023 | up 100.0% | volatile |
| 74 | Ireland | 2 1000 t | 2023 | — | volatile |
| 74 | Israel | 2 1000 t | 2023 | down 33.3% | rising |
| 74 | Kuwait | 2 1000 t | 2023 | up 100.0% | volatile |
| 74 | Madagascar | 2 1000 t | 2023 | up 100.0% | rising |
| 74 | Maldives | 2 1000 t | 2023 | — | volatile |
| 74 | Nigeria | 2 1000 t | 2023 | down 88.2% | volatile |
| 74 | Norway | 2 1000 t | 2023 | down 33.3% | falling |
| 74 | Russia | 2 1000 t | 2023 | down 33.3% | volatile |
| 74 | Uruguay | 2 1000 t | 2023 | unchanged | flat |
| 74 | Zimbabwe | 2 1000 t | 2023 | up 100.0% | volatile |
| 74 | Russian Federation | 2 1000 t | 2023 | down 33.3% | volatile |
| 89 | Bahamas | 1 1000 t | 2023 | down 50.0% | volatile |
| 89 | Belize | 1 1000 t | 2023 | — | volatile |
| 89 | Czechia | 1 1000 t | 2023 | unchanged | volatile |
| 89 | Finland | 1 1000 t | 2023 | — | volatile |
| 89 | Gabon | 1 1000 t | 2023 | down 75.0% | volatile |
| 89 | Guinea | 1 1000 t | 2023 | — | volatile |
| 89 | Kenya | 1 1000 t | 2023 | down 75.0% | volatile |
| 89 | Lebanon | 1 1000 t | 2023 | — | volatile |
| 89 | New Caledonia | 1 1000 t | 2023 | unchanged | volatile |
| 89 | Nepal | 1 1000 t | 2023 | unchanged | volatile |
| 89 | Sierra Leone | 1 1000 t | 2023 | — | volatile |
| 89 | Suriname | 1 1000 t | 2023 | down 50.0% | rising |
| 89 | East Timor | 1 1000 t | 2023 | — | volatile |
| 89 | Timor-Leste | 1 1000 t | 2023 | — | volatile |
| 89 | United Republic of Tanzania | 1 1000 t | 2023 | — | volatile |
| 104 | Afghanistan | 0 1000 t | 2023 | — | volatile |
| 104 | Antigua and Barbuda | 0 1000 t | 2023 | — | volatile |
| 104 | Belarus | 0 1000 t | 2023 | — | volatile |
| 104 | Cuba | 0 1000 t | 2018 | — | volatile |
| 104 | Denmark | 0 1000 t | 2023 | down 100.0% | volatile |
| 104 | Egypt | 0 1000 t | 2023 | — | volatile |
| 104 | Estonia | 0 1000 t | 2023 | — | volatile |
| 104 | Greece | 0 1000 t | 2023 | — | volatile |
| 104 | Hungary | 0 1000 t | 2023 | — | volatile |
| 104 | Iceland | 0 1000 t | 2023 | down 100.0% | volatile |
| 104 | Lithuania | 0 1000 t | 2023 | down 100.0% | volatile |
| 104 | Latvia | 0 1000 t | 2023 | — | volatile |
| 104 | Marshall Islands | 0 1000 t | 2023 | — | volatile |
| 104 | Mongolia | 0 1000 t | 2023 | down 100.0% | falling |
| 104 | Mozambique | 0 1000 t | 2023 | — | volatile |
| 104 | Nicaragua | 0 1000 t | 2023 | down 100.0% | volatile |
| 104 | Saudi Arabia | 0 1000 t | 2023 | down 100.0% | volatile |
| 104 | Turkey | 0 1000 t | 2023 | down 100.0% | volatile |
| 104 | Ukraine | 0 1000 t | 2023 | — | volatile |
| 104 | Samoa | 0 1000 t | 2023 | — | volatile |
| 104 | Zambia | 0 1000 t | 2023 | — | volatile |
| 104 | Micronesia | 0 1000 t | 2023 | — | volatile |
| 104 | Cabo Verde | 0 1000 t | 2023 | — | volatile |
| 104 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | volatile |
| 104 | Türkiye | 0 1000 t | 2023 | down 100.0% | volatile |
| 104 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | volatile |
| 104 | China, Macao SAR | 0 1000 t | 2023 | down 100.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 59,588 1000 t
- Asia 58,289 1000 t
- Eastern Asia 40,932 1000 t
- South-Eastern Asia 17,258 1000 t
- Net Food Importing Developing Countries (NFIDCs) 780 1000 t
- Americas 697 1000 t
- Least Developed Countries (LDCs) 626 1000 t
- Land Locked Developing Countries (LLDCs) 580 1000 t
- Africa 402 1000 t
- South America 343 1000 t
- Low Income Food Deficit Countries (LIFDCs) 338 1000 t
- Northern America 229 1000 t
- United States of America 204 1000 t
- Western Africa 191 1000 t
- Eastern Africa 174 1000 t
- Europe 164 1000 t
- European Union (27) 133 1000 t
- Central America 99 1000 t
- Western Europe 90 1000 t
- Small island developing States (SIDS) 77 1000 t
- Southern Asia 58 1000 t
- Western Asia 41 1000 t
- Oceania 36 1000 t
- Southern Europe 35 1000 t
- Northern Europe 33 1000 t
- Southern Africa 17 1000 t
- Middle Africa 16 1000 t
- Eastern Europe 6 1000 t
- Northern Africa 4 1000 t
- Central Asia 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.