Cassava and products — Feed 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 — Feed is currently reported for 88 countries. The highest value is 19,259 1000 t in Nigeria; the lowest is 0 1000 t in Democratic People's Republic of Korea.
The median across all reporting countries is 8 1000 t, and the mean is 1,116 1000 t.
Over the past decade 31 countries rose and 34 fell. The largest increase was in Guyana (up 2,750.0%), and the largest decrease in Costa Rica (down 100.0%).
Cassava and products — Feed: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Nigeria | 19,259 1000 t | 2023 | down 19.5% | falling |
| 2 | China | 17,751 1000 t | 2023 | down 22.2% | falling |
| 3 | China, mainland | 17,749 1000 t | 2023 | down 22.2% | falling |
| 4 | Thailand | 10,932 1000 t | 2023 | up 503.6% | volatile |
| 5 | Brazil | 9,296 1000 t | 2023 | down 16.9% | falling |
| 6 | Ghana | 5,684 1000 t | 2023 | up 40.4% | rising |
| 7 | Malawi | 3,726 1000 t | 2023 | up 31.2% | rising |
| 8 | Paraguay | 1,571 1000 t | 2023 | up 25.5% | rising |
| 9 | Cote d'Ivoire | 1,240 1000 t | 2023 | up 755.2% | volatile |
| 9 | Côte d'Ivoire | 1,240 1000 t | 2023 | up 755.2% | volatile |
| 11 | United Republic of Tanzania | 1,172 1000 t | 2023 | up 92.8% | rising |
| 12 | Cambodia | 1,150 1000 t | 2023 | up 8.9% | rising |
| 13 | Cameroon | 951 1000 t | 2023 | up 29.2% | rising |
| 14 | Angola | 782 1000 t | 2023 | down 87.8% | volatile |
| 15 | Guinea | 763 1000 t | 2023 | up 535.8% | volatile |
| 16 | Senegal | 602 1000 t | 2023 | up 2,517.4% | volatile |
| 17 | Sierra Leone | 593 1000 t | 2023 | down 75.5% | falling |
| 18 | Mozambique | 570 1000 t | 2023 | up 62.9% | rising |
| 19 | Vietnam | 421 1000 t | 2023 | down 71.6% | volatile |
| 19 | Viet Nam | 421 1000 t | 2023 | down 71.6% | volatile |
| 21 | Indonesia | 333 1000 t | 2023 | down 30.6% | falling |
| 22 | Caribbean | 226 1000 t | 2023 | up 14.7% | flat |
| 23 | Cuba | 197 1000 t | 2019 | up 38.7% | rising |
| 24 | Madagascar | 166 1000 t | 2023 | up 12.2% | rising |
| 25 | Laos | 127 1000 t | 2023 | — | volatile |
| 25 | Lao People's Democratic Republic | 127 1000 t | 2023 | — | volatile |
| 27 | Peru | 114 1000 t | 2023 | down 11.6% | falling |
| 28 | Nicaragua | 109 1000 t | 2023 | down 8.4% | rising |
| 29 | Haiti | 106 1000 t | 2023 | up 100.0% | rising |
| 30 | Argentina | 100 1000 t | 2023 | up 9.9% | rising |
| 31 | Gabon | 98 1000 t | 2023 | down 10.9% | flat |
| 31 | Philippines | 98 1000 t | 2023 | up 3.2% | rising |
| 33 | Niger | 97 1000 t | 2023 | up 288.0% | volatile |
| 33 | United States | 97 1000 t | 2023 | up 5.4% | rising |
| 35 | Guyana | 57 1000 t | 2023 | up 2,750.0% | volatile |
| 36 | Myanmar | 51 1000 t | 2023 | — | volatile |
| 37 | Venezuela (Bolivarian Republic of) | 46 1000 t | 2023 | down 17.9% | falling |
| 38 | Bolivia (Plurinational State of) | 38 1000 t | 2023 | down 5.0% | falling |
| 39 | India | 37 1000 t | 2023 | up 640.0% | volatile |
| 40 | Congo | 15 1000 t | 2023 | up 15.4% | rising |
| 41 | Qatar | 13 1000 t | 2023 | — | falling |
| 42 | Dominican Republic | 12 1000 t | 2023 | down 7.7% | falling |
| 43 | Spain | 10 1000 t | 2023 | up 42.9% | rising |
| 44 | France | 8 1000 t | 2023 | up 60.0% | rising |
| 44 | United Kingdom | 8 1000 t | 2023 | up 100.0% | rising |
| 44 | Melanesia | 8 1000 t | 2023 | up 33.3% | volatile |
| 44 | Democratic Republic of the Congo | 8 1000 t | 2023 | down 99.1% | volatile |
| 44 | United Kingdom of Great Britain and Northern Ireland | 8 1000 t | 2023 | up 100.0% | rising |
| 49 | Panama | 6 1000 t | 2023 | up 50.0% | volatile |
| 49 | Netherlands (Kingdom of the) | 6 1000 t | 2023 | down 40.0% | volatile |
| 51 | Canada | 5 1000 t | 2023 | down 83.9% | volatile |
| 52 | Algeria | 4 1000 t | 2023 | — | volatile |
| 53 | Belgium | 3 1000 t | 2023 | unchanged | rising |
| 53 | Colombia | 3 1000 t | 2023 | down 98.1% | volatile |
| 53 | Fiji | 3 1000 t | 2023 | down 50.0% | volatile |
| 53 | Portugal | 3 1000 t | 2023 | up 200.0% | rising |
| 57 | Germany | 2 1000 t | 2023 | — | volatile |
| 57 | Jamaica | 2 1000 t | 2023 | down 77.8% | volatile |
| 57 | China, Hong Kong SAR | 2 1000 t | 2023 | up 100.0% | rising |
| 60 | Burkina Faso | 1 1000 t | 2023 | — | volatile |
| 60 | Switzerland | 1 1000 t | 2023 | unchanged | flat |
| 60 | Ecuador | 1 1000 t | 2023 | unchanged | volatile |
| 60 | Finland | 1 1000 t | 2023 | — | volatile |
| 60 | Ireland | 1 1000 t | 2023 | — | volatile |
| 60 | Italy | 1 1000 t | 2023 | unchanged | rising |
| 60 | Malaysia | 1 1000 t | 2023 | down 75.0% | falling |
| 60 | French Polynesia | 1 1000 t | 2023 | unchanged | flat |
| 60 | El Salvador | 1 1000 t | 2023 | down 50.0% | volatile |
| 60 | Suriname | 1 1000 t | 2023 | unchanged | volatile |
| 60 | Tonga | 1 1000 t | 2023 | — | volatile |
| 60 | Zimbabwe | 1 1000 t | 2023 | unchanged | volatile |
| 60 | Polynesia | 1 1000 t | 2023 | unchanged | volatile |
| 73 | Antigua and Barbuda | 0 1000 t | 2023 | — | volatile |
| 73 | Costa Rica | 0 1000 t | 2023 | down 100.0% | volatile |
| 73 | Guinea-Bissau | 0 1000 t | 2023 | — | volatile |
| 73 | Greece | 0 1000 t | 2023 | — | volatile |
| 73 | Iceland | 0 1000 t | 2023 | down 100.0% | volatile |
| 73 | Israel | 0 1000 t | 2023 | down 100.0% | volatile |
| 73 | Sri Lanka | 0 1000 t | 2023 | down 100.0% | volatile |
| 73 | Lithuania | 0 1000 t | 2023 | down 100.0% | volatile |
| 73 | Rwanda | 0 1000 t | 2023 | down 100.0% | volatile |
| 73 | Saudi Arabia | 0 1000 t | 2023 | down 100.0% | volatile |
| 73 | Turkey | 0 1000 t | 2023 | down 100.0% | volatile |
| 73 | Samoa | 0 1000 t | 2023 | — | volatile |
| 73 | Republic of Korea | 0 1000 t | 2023 | down 100.0% | volatile |
| 73 | Türkiye | 0 1000 t | 2023 | down 100.0% | volatile |
| 73 | China, Taiwan Province of | 0 1000 t | 2023 | down 100.0% | volatile |
| 73 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 80,149 1000 t
- Africa 37,502 1000 t
- Asia 30,914 1000 t
- Western Africa 29,915 1000 t
- Eastern Asia 17,751 1000 t
- Net Food Importing Developing Countries (NFIDCs) 13,304 1000 t
- South-Eastern Asia 13,113 1000 t
- Least Developed Countries (LDCs) 11,684 1000 t
- Americas 11,676 1000 t
- South America 11,227 1000 t
- Low Income Food Deficit Countries (LIFDCs) 10,649 1000 t
- Eastern Africa 5,723 1000 t
- Land Locked Developing Countries (LLDCs) 5,699 1000 t
- Middle Africa 1,860 1000 t
- Small island developing States (SIDS) 293 1000 t
- Central America 121 1000 t
- Northern America 102 1000 t
- United States of America 97 1000 t
- Europe 47 1000 t
- European Union (27) 38 1000 t
- Southern Asia 37 1000 t
- Western Europe 21 1000 t
- Southern Europe 16 1000 t
- Western Asia 13 1000 t
- Oceania 10 1000 t
- Northern Europe 10 1000 t
- Northern Africa 4 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.