Oilcrops, Other — Food 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
Oilcrops, Other — Food is currently reported for 166 countries. The highest value is 357 1000 t in Nigeria; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 0 1000 t, and the mean is 6.32 1000 t.
Over the past decade 13 countries rose and 15 fell. The largest increase was in Libya (up 400.0%), and the largest decrease in Burkina Faso (down 100.0%).
Oilcrops, Other — Food: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Nigeria | 357 1000 t | 2023 | up 22.3% | rising |
| 2 | Republic of Korea | 302 1000 t | 2023 | up 211.3% | rising |
| 3 | Democratic Republic of the Congo | 105 1000 t | 2023 | up 26.5% | rising |
| 4 | Türkiye | 100 1000 t | 2023 | up 51.5% | volatile |
| 5 | Ghana | 53 1000 t | 2023 | — | volatile |
| 6 | Cameroon | 32 1000 t | 2023 | up 3.2% | falling |
| 7 | Iran (Islamic Republic of) | 22 1000 t | 2023 | down 45.0% | falling |
| 8 | India | 15 1000 t | 2023 | up 275.0% | volatile |
| 9 | Viet Nam | 8 1000 t | 2023 | up 166.7% | volatile |
| 10 | Gambia | 6 1000 t | 2023 | — | volatile |
| 10 | Jordan | 6 1000 t | 2023 | up 50.0% | rising |
| 12 | Germany | 5 1000 t | 2023 | down 44.4% | falling |
| 12 | Libya | 5 1000 t | 2023 | up 400.0% | volatile |
| 14 | China | 3 1000 t | 2023 | up 200.0% | volatile |
| 14 | Congo | 3 1000 t | 2023 | unchanged | flat |
| 14 | Iraq | 3 1000 t | 2023 | unchanged | volatile |
| 14 | China, Taiwan Province of | 3 1000 t | 2023 | up 200.0% | volatile |
| 18 | Ethiopia | 2 1000 t | 2023 | down 33.3% | falling |
| 18 | Mauritania | 2 1000 t | 2023 | down 33.3% | falling |
| 18 | Norway | 2 1000 t | 2023 | — | volatile |
| 18 | Poland | 2 1000 t | 2023 | up 100.0% | rising |
| 18 | Tajikistan | 2 1000 t | 2023 | up 100.0% | volatile |
| 18 | Russian Federation | 2 1000 t | 2023 | — | volatile |
| 24 | Afghanistan | 1 1000 t | 2023 | — | volatile |
| 24 | Austria | 1 1000 t | 2023 | down 75.0% | falling |
| 24 | Canada | 1 1000 t | 2023 | unchanged | rising |
| 24 | Egypt | 1 1000 t | 2023 | — | volatile |
| 24 | Kuwait | 1 1000 t | 2023 | — | volatile |
| 24 | Latvia | 1 1000 t | 2023 | — | volatile |
| 24 | Senegal | 1 1000 t | 2023 | unchanged | falling |
| 24 | Serbia | 1 1000 t | 2023 | unchanged | flat |
| 24 | United Kingdom of Great Britain and Northern Ireland | 1 1000 t | 2023 | down 50.0% | falling |
| 33 | Angola | 0 1000 t | 2023 | — | flat |
| 33 | Albania | 0 1000 t | 2023 | — | flat |
| 33 | United Arab Emirates | 0 1000 t | 2023 | — | flat |
| 33 | Argentina | 0 1000 t | 2023 | — | flat |
| 33 | Armenia | 0 1000 t | 2023 | — | volatile |
| 33 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 33 | Australia | 0 1000 t | 2023 | — | flat |
| 33 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 33 | Belgium | 0 1000 t | 2023 | — | flat |
| 33 | Burkina Faso | 0 1000 t | 2023 | down 100.0% | volatile |
| 33 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 33 | Bulgaria | 0 1000 t | 2023 | — | flat |
| 33 | Bahrain | 0 1000 t | 2023 | — | flat |
| 33 | Bahamas | 0 1000 t | 2023 | — | flat |
| 33 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 33 | Belarus | 0 1000 t | 2023 | — | flat |
| 33 | Belize | 0 1000 t | 2023 | — | flat |
| 33 | Brazil | 0 1000 t | 2023 | down 100.0% | volatile |
| 33 | Barbados | 0 1000 t | 2023 | — | flat |
| 33 | Bhutan | 0 1000 t | 2023 | — | flat |
| 33 | Botswana | 0 1000 t | 2023 | — | flat |
| 33 | Switzerland | 0 1000 t | 2023 | — | flat |
| 33 | Chile | 0 1000 t | 2023 | — | flat |
| 33 | Colombia | 0 1000 t | 2023 | — | flat |
| 33 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 33 | Cuba | 0 1000 t | 2019 | — | flat |
| 33 | Cyprus | 0 1000 t | 2023 | — | flat |
| 33 | Czechia | 0 1000 t | 2023 | down 100.0% | volatile |
| 33 | Djibouti | 0 1000 t | 2023 | — | flat |
| 33 | Denmark | 0 1000 t | 2023 | — | flat |
| 33 | Dominican Republic | 0 1000 t | 2023 | — | flat |
| 33 | Algeria | 0 1000 t | 2023 | — | flat |
| 33 | Ecuador | 0 1000 t | 2023 | — | flat |
| 33 | Spain | 0 1000 t | 2023 | down 100.0% | volatile |
| 33 | Finland | 0 1000 t | 2023 | — | flat |
| 33 | Fiji | 0 1000 t | 2023 | — | volatile |
| 33 | France | 0 1000 t | 2023 | — | flat |
| 33 | Gabon | 0 1000 t | 2023 | — | flat |
| 33 | Georgia | 0 1000 t | 2023 | — | flat |
| 33 | Guinea | 0 1000 t | 2023 | — | flat |
| 33 | Guinea-Bissau | 0 1000 t | 2023 | down 100.0% | volatile |
| 33 | Greece | 0 1000 t | 2023 | — | flat |
| 33 | Grenada | 0 1000 t | 2023 | — | flat |
| 33 | Guatemala | 0 1000 t | 2023 | — | volatile |
| 33 | Honduras | 0 1000 t | 2023 | — | flat |
| 33 | Croatia | 0 1000 t | 2023 | down 100.0% | volatile |
| 33 | Haiti | 0 1000 t | 2023 | — | flat |
| 33 | Hungary | 0 1000 t | 2023 | down 100.0% | volatile |
| 33 | Indonesia | 0 1000 t | 2023 | — | flat |
| 33 | Ireland | 0 1000 t | 2023 | — | flat |
| 33 | Iceland | 0 1000 t | 2023 | — | flat |
| 33 | Israel | 0 1000 t | 2023 | — | volatile |
| 33 | Italy | 0 1000 t | 2023 | — | flat |
| 33 | Jamaica | 0 1000 t | 2022 | — | flat |
| 33 | Kazakhstan | 0 1000 t | 2023 | — | flat |
| 33 | Kenya | 0 1000 t | 2023 | — | flat |
| 33 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 33 | Cambodia | 0 1000 t | 2023 | — | flat |
| 33 | Kiribati | 0 1000 t | 2021 | — | flat |
| 33 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 33 | Lebanon | 0 1000 t | 2023 | — | flat |
| 33 | Liberia | 0 1000 t | 2023 | — | flat |
| 33 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 33 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 33 | Lesotho | 0 1000 t | 2023 | — | flat |
| 33 | Lithuania | 0 1000 t | 2023 | — | flat |
| 33 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 33 | Morocco | 0 1000 t | 2023 | — | flat |
| 33 | Madagascar | 0 1000 t | 2023 | — | flat |
| 33 | Maldives | 0 1000 t | 2023 | — | flat |
| 33 | Mexico | 0 1000 t | 2023 | — | flat |
| 33 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 33 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 33 | Malta | 0 1000 t | 2023 | — | flat |
| 33 | Myanmar | 0 1000 t | 2023 | down 100.0% | volatile |
| 33 | Montenegro | 0 1000 t | 2023 | — | flat |
| 33 | Mongolia | 0 1000 t | 2023 | — | flat |
| 33 | Mozambique | 0 1000 t | 2023 | — | flat |
| 33 | Mauritius | 0 1000 t | 2023 | — | flat |
| 33 | Malawi | 0 1000 t | 2023 | — | flat |
| 33 | Malaysia | 0 1000 t | 2023 | — | flat |
| 33 | Namibia | 0 1000 t | 2023 | — | flat |
| 33 | Niger | 0 1000 t | 2023 | — | flat |
| 33 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 33 | Nepal | 0 1000 t | 2023 | — | flat |
| 33 | New Zealand | 0 1000 t | 2023 | — | flat |
| 33 | Oman | 0 1000 t | 2023 | — | volatile |
| 33 | Panama | 0 1000 t | 2023 | — | flat |
| 33 | Peru | 0 1000 t | 2023 | — | flat |
| 33 | Philippines | 0 1000 t | 2023 | — | volatile |
| 33 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 33 | Portugal | 0 1000 t | 2023 | — | flat |
| 33 | Paraguay | 0 1000 t | 2023 | — | flat |
| 33 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 33 | Qatar | 0 1000 t | 2023 | — | volatile |
| 33 | Romania | 0 1000 t | 2023 | — | flat |
| 33 | Rwanda | 0 1000 t | 2023 | — | flat |
| 33 | Saudi Arabia | 0 1000 t | 2023 | — | flat |
| 33 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 33 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 33 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 33 | Slovakia | 0 1000 t | 2023 | down 100.0% | volatile |
| 33 | Slovenia | 0 1000 t | 2023 | — | flat |
| 33 | Sweden | 0 1000 t | 2023 | — | flat |
| 33 | Eswatini | 0 1000 t | 2023 | — | flat |
| 33 | Seychelles | 0 1000 t | 2023 | — | flat |
| 33 | Thailand | 0 1000 t | 2023 | — | flat |
| 33 | Turkmenistan | 0 1000 t | 2023 | — | flat |
| 33 | Tonga | 0 1000 t | 2023 | — | flat |
| 33 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 33 | Tunisia | 0 1000 t | 2023 | — | flat |
| 33 | Uganda | 0 1000 t | 2023 | — | flat |
| 33 | Uruguay | 0 1000 t | 2023 | — | flat |
| 33 | Uzbekistan | 0 1000 t | 2023 | — | flat |
| 33 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 33 | Samoa | 0 1000 t | 2023 | — | flat |
| 33 | Yemen | 0 1000 t | 2023 | — | volatile |
| 33 | Zambia | 0 1000 t | 2023 | — | flat |
| 33 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 33 | Micronesia | 0 1000 t | 2023 | — | flat |
| 33 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 33 | Melanesia | 0 1000 t | 2023 | — | volatile |
| 33 | Polynesia | 0 1000 t | 2023 | — | flat |
| 33 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | flat |
| 33 | China, Hong Kong SAR | 0 1000 t | 2023 | — | volatile |
| 33 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 33 | Syrian Arab Republic | 0 1000 t | 2023 | — | volatile |
| 33 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | flat |
| 33 | Australia and New Zealand | 0 1000 t | 2023 | — | flat |
| 33 | Côte d'Ivoire | 0 1000 t | 2023 | — | flat |
| 33 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | flat |
| 33 | United Republic of Tanzania | 0 1000 t | 2023 | — | flat |
| 33 | Netherlands (Kingdom of the) | 0 1000 t | 2023 | — | volatile |
| 33 | China, Macao SAR | 0 1000 t | 2023 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 1,192 1000 t
- Africa 704 1000 t
- Asia 466 1000 t
- Western Africa 446 1000 t
- Eastern Asia 305 1000 t
- Low Income Food Deficit Countries (LIFDCs) 292 1000 t
- Net Food Importing Developing Countries (NFIDCs) 261 1000 t
- Least Developed Countries (LDCs) 255 1000 t
- Middle Africa 187 1000 t
- Western Asia 112 1000 t
- Land Locked Developing Countries (LLDCs) 82 1000 t
- Northern Africa 50 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.