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 59 countries. The highest value is 357 1000 t in Nigeria; the lowest is 0 1000 t in Burkina Faso.
The median across all reporting countries is 1 1000 t, and the mean is 19.71 1000 t.
Over the past decade 15 countries rose and 17 fell. The largest increase was in Libya (up 400.0%), and the largest decrease in Myanmar (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 | Turkey | 100 1000 t | 2023 | up 51.5% | volatile |
| 4 | Türkiye | 100 1000 t | 2023 | up 51.5% | volatile |
| 6 | Ghana | 53 1000 t | 2023 | — | volatile |
| 7 | Cameroon | 32 1000 t | 2023 | up 3.2% | falling |
| 8 | Iran (Islamic Republic of) | 22 1000 t | 2023 | down 45.0% | falling |
| 9 | India | 15 1000 t | 2023 | up 275.0% | volatile |
| 10 | Vietnam | 8 1000 t | 2023 | up 166.7% | volatile |
| 10 | Viet Nam | 8 1000 t | 2023 | up 166.7% | volatile |
| 12 | Jordan | 6 1000 t | 2023 | up 50.0% | rising |
| 12 | Gambia | 6 1000 t | 2023 | — | volatile |
| 14 | Libya | 5 1000 t | 2023 | up 400.0% | volatile |
| 14 | Germany | 5 1000 t | 2023 | down 44.4% | falling |
| 16 | Iraq | 3 1000 t | 2023 | unchanged | volatile |
| 16 | United States | 3 1000 t | 2023 | down 57.1% | falling |
| 16 | China, Taiwan Province of | 3 1000 t | 2023 | up 200.0% | volatile |
| 16 | China | 3 1000 t | 2023 | up 200.0% | volatile |
| 16 | Congo | 3 1000 t | 2023 | unchanged | flat |
| 21 | Russian Federation | 2 1000 t | 2023 | — | volatile |
| 21 | Tajikistan | 2 1000 t | 2023 | up 100.0% | volatile |
| 21 | Russia | 2 1000 t | 2023 | — | volatile |
| 21 | Poland | 2 1000 t | 2023 | up 100.0% | rising |
| 21 | Ethiopia | 2 1000 t | 2023 | down 33.3% | falling |
| 21 | Norway | 2 1000 t | 2023 | — | volatile |
| 21 | Mauritania | 2 1000 t | 2023 | down 33.3% | falling |
| 28 | United Kingdom | 1 1000 t | 2023 | down 50.0% | falling |
| 28 | United Kingdom of Great Britain and Northern Ireland | 1 1000 t | 2023 | down 50.0% | falling |
| 28 | Egypt | 1 1000 t | 2023 | — | volatile |
| 28 | Austria | 1 1000 t | 2023 | down 75.0% | falling |
| 28 | Afghanistan | 1 1000 t | 2023 | — | volatile |
| 28 | Kuwait | 1 1000 t | 2023 | — | volatile |
| 28 | Latvia | 1 1000 t | 2023 | — | volatile |
| 28 | Canada | 1 1000 t | 2023 | unchanged | rising |
| 28 | Senegal | 1 1000 t | 2023 | unchanged | falling |
| 28 | Serbia | 1 1000 t | 2023 | unchanged | flat |
| 38 | Netherlands (Kingdom of the) | 0 1000 t | 2023 | — | volatile |
| 38 | Armenia | 0 1000 t | 2023 | — | volatile |
| 38 | Syrian Arab Republic | 0 1000 t | 2023 | — | volatile |
| 38 | Yemen | 0 1000 t | 2023 | — | volatile |
| 38 | Myanmar | 0 1000 t | 2023 | down 100.0% | volatile |
| 38 | Czechia | 0 1000 t | 2023 | down 100.0% | volatile |
| 38 | Spain | 0 1000 t | 2023 | down 100.0% | volatile |
| 38 | Fiji | 0 1000 t | 2023 | — | volatile |
| 38 | Guinea-Bissau | 0 1000 t | 2023 | down 100.0% | volatile |
| 38 | Guatemala | 0 1000 t | 2023 | — | volatile |
| 38 | Croatia | 0 1000 t | 2023 | down 100.0% | volatile |
| 38 | Hungary | 0 1000 t | 2023 | down 100.0% | volatile |
| 38 | Israel | 0 1000 t | 2023 | — | volatile |
| 38 | China, Hong Kong SAR | 0 1000 t | 2023 | — | volatile |
| 38 | Oman | 0 1000 t | 2023 | — | volatile |
| 38 | Philippines | 0 1000 t | 2023 | — | volatile |
| 38 | Qatar | 0 1000 t | 2023 | — | volatile |
| 38 | Slovakia | 0 1000 t | 2023 | down 100.0% | volatile |
| 38 | Syria | 0 1000 t | 2023 | — | volatile |
| 38 | Melanesia | 0 1000 t | 2023 | — | volatile |
| 38 | Brazil | 0 1000 t | 2023 | down 100.0% | volatile |
| 38 | Burkina Faso | 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 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
- Southern Asia 39 1000 t
- Eastern Africa 20 1000 t
- Europe 17 1000 t
- European Union (27) 10 1000 t
- South-Eastern Asia 8 1000 t
- Western Europe 6 1000 t
- Northern Europe 5 1000 t
- Americas 5 1000 t
- Northern America 5 1000 t
- Eastern Europe 5 1000 t
- United States of America 3 1000 t
- Central Asia 2 1000 t
- Southern Europe 1 1000 t
- Central America 0 1000 t
- Small island developing States (SIDS) 0 1000 t
- South America 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.