Groundnut Oil — 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
Groundnut Oil — Food is currently reported for 89 countries. The highest value is 1,058 1000 t in China; the lowest is 0 1000 t in Bolivia (Plurinational State of).
The median across all reporting countries is 4 1000 t, and the mean is 51.43 1000 t.
Over the past decade 49 countries rose and 22 fell. The largest increase was in Rwanda (up 600.0%), and the largest decrease in Cambodia (down 100.0%).
Groundnut Oil — Food: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 1,058 1000 t | 2023 | up 7.6% | rising |
| 2 | China, mainland | 1,042 1000 t | 2023 | up 7.5% | rising |
| 3 | India | 663 1000 t | 2023 | down 38.6% | falling |
| 4 | Nigeria | 388 1000 t | 2023 | up 25.6% | rising |
| 5 | Myanmar | 241 1000 t | 2023 | up 7.1% | falling |
| 6 | Senegal | 144 1000 t | 2023 | up 28.6% | rising |
| 7 | Guinea | 113 1000 t | 2023 | up 31.4% | rising |
| 8 | Ghana | 73 1000 t | 2023 | up 23.7% | falling |
| 9 | Cameroon | 64 1000 t | 2023 | up 8.5% | rising |
| 10 | United States | 56 1000 t | 2023 | up 1.8% | rising |
| 11 | Netherlands (Kingdom of the) | 54 1000 t | 2023 | up 5.9% | rising |
| 12 | Algeria | 45 1000 t | 2023 | up 136.8% | rising |
| 13 | Niger | 39 1000 t | 2023 | up 14.7% | rising |
| 14 | Guinea-Bissau | 34 1000 t | 2023 | up 209.1% | rising |
| 14 | Malawi | 34 1000 t | 2023 | up 3.0% | flat |
| 16 | Vietnam | 33 1000 t | 2023 | up 6.5% | flat |
| 16 | Viet Nam | 33 1000 t | 2023 | up 6.5% | flat |
| 18 | Angola | 32 1000 t | 2023 | up 88.2% | rising |
| 18 | Italy | 32 1000 t | 2023 | down 13.5% | flat |
| 20 | Burkina Faso | 30 1000 t | 2023 | up 275.0% | volatile |
| 21 | Pakistan | 25 1000 t | 2023 | up 31.6% | rising |
| 22 | Indonesia | 23 1000 t | 2023 | down 14.8% | falling |
| 23 | Bangladesh | 21 1000 t | 2023 | up 61.5% | rising |
| 24 | Democratic Republic of the Congo | 19 1000 t | 2023 | up 11.8% | rising |
| 25 | Cote d'Ivoire | 17 1000 t | 2023 | up 70.0% | rising |
| 25 | Côte d'Ivoire | 17 1000 t | 2023 | up 70.0% | rising |
| 27 | Egypt | 16 1000 t | 2023 | down 5.9% | falling |
| 28 | Morocco | 15 1000 t | 2023 | up 25.0% | rising |
| 28 | Uganda | 15 1000 t | 2023 | up 150.0% | rising |
| 30 | United Arab Emirates | 13 1000 t | 2023 | — | volatile |
| 31 | Philippines | 12 1000 t | 2023 | up 500.0% | volatile |
| 31 | Sierra Leone | 12 1000 t | 2023 | up 33.3% | falling |
| 31 | Thailand | 12 1000 t | 2023 | down 45.5% | falling |
| 34 | China, Hong Kong SAR | 10 1000 t | 2023 | up 66.7% | rising |
| 35 | Iraq | 9 1000 t | 2023 | up 200.0% | volatile |
| 35 | Zimbabwe | 9 1000 t | 2023 | up 12.5% | falling |
| 37 | Nicaragua | 8 1000 t | 2023 | up 166.7% | rising |
| 38 | Argentina | 7 1000 t | 2023 | up 75.0% | volatile |
| 38 | Rwanda | 7 1000 t | 2023 | up 600.0% | volatile |
| 40 | France | 6 1000 t | 2023 | down 53.8% | falling |
| 41 | Brazil | 5 1000 t | 2023 | up 25.0% | volatile |
| 41 | Zambia | 5 1000 t | 2023 | up 25.0% | falling |
| 41 | China, Taiwan Province of | 5 1000 t | 2023 | down 16.7% | falling |
| 44 | Canada | 4 1000 t | 2023 | up 100.0% | rising |
| 44 | Switzerland | 4 1000 t | 2023 | down 55.6% | falling |
| 44 | Greece | 4 1000 t | 2023 | unchanged | flat |
| 44 | Laos | 4 1000 t | 2023 | down 33.3% | falling |
| 44 | Lebanon | 4 1000 t | 2023 | down 20.0% | falling |
| 44 | Mexico | 4 1000 t | 2023 | up 33.3% | rising |
| 44 | Malaysia | 4 1000 t | 2023 | up 33.3% | rising |
| 44 | Lao People's Democratic Republic | 4 1000 t | 2023 | down 33.3% | falling |
| 52 | Australia | 3 1000 t | 2023 | up 200.0% | rising |
| 52 | Congo | 3 1000 t | 2023 | up 50.0% | rising |
| 52 | Czechia | 3 1000 t | 2023 | up 200.0% | rising |
| 52 | Ethiopia | 3 1000 t | 2023 | unchanged | volatile |
| 52 | United Kingdom | 3 1000 t | 2023 | up 50.0% | rising |
| 52 | Nepal | 3 1000 t | 2023 | up 50.0% | rising |
| 52 | Caribbean | 3 1000 t | 2023 | up 50.0% | rising |
| 52 | Australia and New Zealand | 3 1000 t | 2023 | up 50.0% | rising |
| 52 | United Kingdom of Great Britain and Northern Ireland | 3 1000 t | 2023 | up 50.0% | rising |
| 61 | Germany | 2 1000 t | 2023 | down 50.0% | volatile |
| 61 | Dominican Republic | 2 1000 t | 2023 | up 100.0% | rising |
| 61 | Mozambique | 2 1000 t | 2023 | down 83.3% | falling |
| 61 | Portugal | 2 1000 t | 2023 | up 100.0% | rising |
| 61 | Venezuela (Bolivarian Republic of) | 2 1000 t | 2023 | up 100.0% | volatile |
| 61 | United Republic of Tanzania | 2 1000 t | 2023 | down 84.6% | falling |
| 67 | Spain | 1 1000 t | 2023 | unchanged | volatile |
| 67 | Gambia | 1 1000 t | 2023 | down 94.4% | volatile |
| 67 | Kuwait | 1 1000 t | 2023 | — | volatile |
| 67 | Sri Lanka | 1 1000 t | 2023 | unchanged | falling |
| 67 | Mauritania | 1 1000 t | 2023 | unchanged | volatile |
| 67 | Norway | 1 1000 t | 2023 | down 50.0% | falling |
| 67 | Paraguay | 1 1000 t | 2023 | down 50.0% | rising |
| 67 | Saudi Arabia | 1 1000 t | 2023 | unchanged | flat |
| 67 | Republic of Korea | 1 1000 t | 2023 | unchanged | flat |
| 67 | China, Macao SAR | 1 1000 t | 2023 | unchanged | flat |
| 77 | Austria | 0 1000 t | 2023 | — | volatile |
| 77 | Bulgaria | 0 1000 t | 2023 | — | volatile |
| 77 | Botswana | 0 1000 t | 2023 | — | volatile |
| 77 | Chile | 0 1000 t | 2023 | — | volatile |
| 77 | Guatemala | 0 1000 t | 2023 | — | volatile |
| 77 | Cambodia | 0 1000 t | 2023 | down 100.0% | volatile |
| 77 | Luxembourg | 0 1000 t | 2023 | down 100.0% | volatile |
| 77 | Madagascar | 0 1000 t | 2023 | down 100.0% | volatile |
| 77 | Qatar | 0 1000 t | 2023 | — | volatile |
| 77 | Ukraine | 0 1000 t | 2023 | — | volatile |
| 77 | Yemen | 0 1000 t | 2023 | — | volatile |
| 77 | South Africa | 0 1000 t | 2023 | down 100.0% | volatile |
| 77 | Bolivia (Plurinational State of) | 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 3,821 1000 t
- Asia 2,131 1000 t
- Africa 1,472 1000 t
- Net Food Importing Developing Countries (NFIDCs) 1,191 1000 t
- Least Developed Countries (LDCs) 1,113 1000 t
- Eastern Asia 1,060 1000 t
- Western Africa 910 1000 t
- Low Income Food Deficit Countries (LIFDCs) 892 1000 t
- Southern Asia 712 1000 t
- South-Eastern Asia 330 1000 t
- Land Locked Developing Countries (LLDCs) 282 1000 t
- Northern Africa 262 1000 t
- Middle Africa 221 1000 t
- Europe 124 1000 t
- European Union (27) 115 1000 t
- Americas 91 1000 t
- Eastern Africa 79 1000 t
- Western Europe 66 1000 t
- Northern America 60 1000 t
- United States of America 56 1000 t
- Southern Europe 39 1000 t
- Small island developing States (SIDS) 37 1000 t
- Western Asia 29 1000 t
- South America 15 1000 t
- Eastern Europe 14 1000 t
- Central America 12 1000 t
- Northern Europe 6 1000 t
- Oceania 3 1000 t
- Southern Africa 1 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.