Roots, Other — 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
Roots, Other — Feed is currently reported for 136 countries. The highest value is 4,348 1000 t in Lao People's Democratic Republic; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 0 1000 t, and the mean is 42.59 1000 t.
Over the past decade 18 countries rose and 27 fell. The largest increase was in Vanuatu (up 350.0%), and the largest decrease in Costa Rica (down 100.0%).
Roots, Other — Feed: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Lao People's Democratic Republic | 4,348 1000 t | 2023 | up 217.1% | rising |
| 2 | Ethiopia | 380 1000 t | 2023 | up 48.4% | rising |
| 3 | Cameroon | 247 1000 t | 2023 | up 12.3% | flat |
| 4 | China | 186 1000 t | 2023 | down 24.4% | falling |
| 5 | China, mainland | 184 1000 t | 2023 | down 24.9% | falling |
| 6 | Madagascar | 64 1000 t | 2023 | down 16.9% | falling |
| 7 | Pakistan | 52 1000 t | 2023 | down 11.9% | falling |
| 8 | Colombia | 44 1000 t | 2023 | up 10.0% | rising |
| 9 | Indonesia | 42 1000 t | 2023 | down 41.7% | falling |
| 10 | Caribbean | 27 1000 t | 2023 | up 35.0% | rising |
| 11 | Guinea | 21 1000 t | 2023 | up 23.5% | rising |
| 12 | Mexico | 18 1000 t | 2023 | up 100.0% | rising |
| 13 | Guinea-Bissau | 17 1000 t | 2023 | up 70.0% | rising |
| 14 | Ghana | 11 1000 t | 2023 | up 57.1% | rising |
| 14 | Nicaragua | 11 1000 t | 2023 | down 80.7% | falling |
| 16 | Namibia | 10 1000 t | 2023 | down 9.1% | falling |
| 16 | Melanesia | 10 1000 t | 2023 | up 150.0% | volatile |
| 18 | Spain | 9 1000 t | 2023 | unchanged | falling |
| 18 | Vanuatu | 9 1000 t | 2023 | up 350.0% | volatile |
| 20 | Cuba | 8 1000 t | 2019 | up 14.3% | rising |
| 20 | Saudi Arabia | 8 1000 t | 2023 | — | volatile |
| 20 | United Kingdom of Great Britain and Northern Ireland | 8 1000 t | 2023 | up 33.3% | falling |
| 23 | Ecuador | 7 1000 t | 2023 | up 133.3% | rising |
| 24 | Gabon | 5 1000 t | 2023 | down 37.5% | falling |
| 24 | Guyana | 5 1000 t | 2023 | up 66.7% | rising |
| 24 | Philippines | 5 1000 t | 2023 | down 16.7% | falling |
| 27 | Israel | 4 1000 t | 2023 | unchanged | rising |
| 27 | Polynesia | 4 1000 t | 2023 | up 33.3% | rising |
| 29 | Dominican Republic | 3 1000 t | 2023 | — | volatile |
| 29 | Iraq | 3 1000 t | 2023 | — | volatile |
| 29 | Peru | 3 1000 t | 2023 | down 25.0% | falling |
| 29 | Samoa | 3 1000 t | 2023 | up 50.0% | rising |
| 29 | Timor-Leste | 3 1000 t | 2023 | down 40.0% | falling |
| 29 | Côte d'Ivoire | 3 1000 t | 2023 | down 25.0% | falling |
| 35 | Angola | 2 1000 t | 2021 | — | volatile |
| 35 | Italy | 2 1000 t | 2023 | up 100.0% | rising |
| 35 | Kuwait | 2 1000 t | 2023 | unchanged | volatile |
| 35 | Malaysia | 2 1000 t | 2023 | unchanged | volatile |
| 39 | United Arab Emirates | 1 1000 t | 2023 | — | volatile |
| 39 | Belgium | 1 1000 t | 2023 | down 50.0% | volatile |
| 39 | Bangladesh | 1 1000 t | 2021 | — | volatile |
| 39 | Bahrain | 1 1000 t | 2023 | — | flat |
| 39 | Canada | 1 1000 t | 2023 | — | volatile |
| 39 | Congo | 1 1000 t | 2023 | down 66.7% | volatile |
| 39 | Comoros | 1 1000 t | 2023 | — | volatile |
| 39 | Germany | 1 1000 t | 2023 | unchanged | volatile |
| 39 | Ireland | 1 1000 t | 2023 | — | volatile |
| 39 | Jamaica | 1 1000 t | 2023 | — | volatile |
| 39 | Saint Lucia | 1 1000 t | 2023 | unchanged | flat |
| 39 | Norway | 1 1000 t | 2023 | unchanged | volatile |
| 39 | Papua New Guinea | 1 1000 t | 2023 | unchanged | volatile |
| 39 | El Salvador | 1 1000 t | 2023 | — | volatile |
| 39 | Sao Tome and Principe | 1 1000 t | 2023 | unchanged | rising |
| 39 | Suriname | 1 1000 t | 2023 | down 50.0% | falling |
| 39 | Eswatini | 1 1000 t | 2023 | down 50.0% | volatile |
| 39 | Tonga | 1 1000 t | 2023 | — | falling |
| 39 | Democratic Republic of the Congo | 1 1000 t | 2023 | down 90.0% | falling |
| 39 | Australia and New Zealand | 1 1000 t | 2023 | down 50.0% | volatile |
| 39 | China, Taiwan Province of | 1 1000 t | 2023 | unchanged | falling |
| 39 | Netherlands (Kingdom of the) | 1 1000 t | 2023 | unchanged | volatile |
| 61 | Australia | 0 1000 t | 2023 | — | volatile |
| 61 | Bulgaria | 0 1000 t | 2023 | — | flat |
| 61 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 61 | Belarus | 0 1000 t | 2023 | — | flat |
| 61 | Belize | 0 1000 t | 2023 | — | flat |
| 61 | Barbados | 0 1000 t | 2023 | — | flat |
| 61 | Bhutan | 0 1000 t | 2023 | — | flat |
| 61 | Switzerland | 0 1000 t | 2023 | — | flat |
| 61 | Costa Rica | 0 1000 t | 2023 | down 100.0% | volatile |
| 61 | Cyprus | 0 1000 t | 2023 | — | flat |
| 61 | Czechia | 0 1000 t | 2023 | — | flat |
| 61 | Djibouti | 0 1000 t | 2023 | — | flat |
| 61 | Denmark | 0 1000 t | 2023 | — | volatile |
| 61 | Algeria | 0 1000 t | 2020 | — | flat |
| 61 | Egypt | 0 1000 t | 2023 | — | flat |
| 61 | Estonia | 0 1000 t | 2023 | — | flat |
| 61 | Finland | 0 1000 t | 2023 | — | flat |
| 61 | Fiji | 0 1000 t | 2023 | — | volatile |
| 61 | France | 0 1000 t | 2023 | down 100.0% | volatile |
| 61 | Gambia | 0 1000 t | 2023 | — | flat |
| 61 | Greece | 0 1000 t | 2023 | — | volatile |
| 61 | Grenada | 0 1000 t | 2023 | down 100.0% | falling |
| 61 | Honduras | 0 1000 t | 2023 | — | volatile |
| 61 | Croatia | 0 1000 t | 2023 | — | flat |
| 61 | Haiti | 0 1000 t | 2023 | — | flat |
| 61 | Hungary | 0 1000 t | 2023 | — | flat |
| 61 | Iceland | 0 1000 t | 2023 | — | flat |
| 61 | Jordan | 0 1000 t | 2023 | — | flat |
| 61 | Kazakhstan | 0 1000 t | 2023 | — | flat |
| 61 | Kenya | 0 1000 t | 2023 | — | volatile |
| 61 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 61 | Cambodia | 0 1000 t | 2023 | — | flat |
| 61 | Kiribati | 0 1000 t | 2023 | — | flat |
| 61 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 61 | Lebanon | 0 1000 t | 2023 | — | flat |
| 61 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 61 | Lesotho | 0 1000 t | 2023 | — | flat |
| 61 | Lithuania | 0 1000 t | 2023 | — | flat |
| 61 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 61 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 61 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 61 | Malta | 0 1000 t | 2023 | — | flat |
| 61 | Myanmar | 0 1000 t | 2019 | — | flat |
| 61 | Mauritius | 0 1000 t | 2023 | — | flat |
| 61 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 61 | Nepal | 0 1000 t | 2023 | down 100.0% | volatile |
| 61 | Nauru | 0 1000 t | 2023 | — | flat |
| 61 | New Zealand | 0 1000 t | 2023 | down 100.0% | volatile |
| 61 | Oman | 0 1000 t | 2023 | — | volatile |
| 61 | Panama | 0 1000 t | 2023 | — | flat |
| 61 | Poland | 0 1000 t | 2023 | — | flat |
| 61 | Portugal | 0 1000 t | 2023 | — | flat |
| 61 | Paraguay | 0 1000 t | 2023 | — | flat |
| 61 | French Polynesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 61 | Qatar | 0 1000 t | 2023 | — | flat |
| 61 | Romania | 0 1000 t | 2023 | — | flat |
| 61 | Rwanda | 0 1000 t | 2023 | — | flat |
| 61 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 61 | Slovakia | 0 1000 t | 2023 | — | flat |
| 61 | Slovenia | 0 1000 t | 2023 | down 100.0% | volatile |
| 61 | Sweden | 0 1000 t | 2023 | down 100.0% | volatile |
| 61 | Thailand | 0 1000 t | 2023 | — | flat |
| 61 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 61 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 61 | Uganda | 0 1000 t | 2023 | — | flat |
| 61 | Ukraine | 0 1000 t | 2023 | — | flat |
| 61 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | down 100.0% | volatile |
| 61 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 61 | Micronesia | 0 1000 t | 2023 | — | flat |
| 61 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 61 | Republic of Korea | 0 1000 t | 2023 | — | volatile |
| 61 | Russian Federation | 0 1000 t | 2023 | — | flat |
| 61 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | flat |
| 61 | Türkiye | 0 1000 t | 2018 | — | flat |
| 61 | United Republic of Tanzania | 0 1000 t | 2023 | — | flat |
| 61 | China, Macao SAR | 0 1000 t | 2023 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 5,650 1000 t
- Net Food Importing Developing Countries (NFIDCs) 4,949 1000 t
- Least Developed Countries (LDCs) 4,843 1000 t
- Land Locked Developing Countries (LLDCs) 4,734 1000 t
- Asia 4,679 1000 t
- South-eastern Asia 4,404 1000 t
- Africa 770 1000 t
- Low Income Food Deficit Countries (LIFDCs) 750 1000 t
- Eastern Africa 450 1000 t
- Middle Africa 257 1000 t
- Eastern Asia 203 1000 t
- Americas 162 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.