Groundnut Oil — Domestic supply quantity 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 — Domestic supply quantity is currently reported for 94 countries. The highest value is 2,110 1000 t in China; the lowest is -2 1000 t in Belgium.
The median across all reporting countries is 4 1000 t, and the mean is 72.29 1000 t.
The gap between the highest and lowest reporting country is a factor of about 1,055.
Over the past decade 50 countries rose and 23 fell. The largest increase was in Rwanda (up 600.0%), and the largest decrease in Belgium (down 118.2%).
Groundnut Oil — Domestic supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 2,110 1000 t | 2023 | up 4.8% | rising |
| 2 | China, mainland | 2,093 1000 t | 2023 | up 4.6% | 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 | 125 1000 t | 2023 | up 34.4% | rising |
| 8 | United States | 118 1000 t | 2023 | up 7.3% | rising |
| 9 | Ghana | 73 1000 t | 2023 | up 23.7% | falling |
| 10 | Cameroon | 64 1000 t | 2023 | up 8.5% | rising |
| 11 | Malawi | 54 1000 t | 2023 | up 10.2% | rising |
| 11 | Netherlands (Kingdom of the) | 54 1000 t | 2023 | up 5.9% | rising |
| 13 | Algeria | 45 1000 t | 2023 | up 136.8% | rising |
| 14 | Niger | 39 1000 t | 2023 | up 14.7% | rising |
| 15 | Guinea-Bissau | 34 1000 t | 2023 | up 209.1% | rising |
| 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 |
| 23 | Poland | 21 1000 t | 2023 | up 200.0% | volatile |
| 25 | Democratic Republic of the Congo | 19 1000 t | 2023 | up 11.8% | rising |
| 26 | Cote d'Ivoire | 17 1000 t | 2023 | up 70.0% | rising |
| 26 | Côte d'Ivoire | 17 1000 t | 2023 | up 70.0% | rising |
| 28 | Egypt | 16 1000 t | 2023 | down 5.9% | falling |
| 29 | Morocco | 15 1000 t | 2023 | up 25.0% | rising |
| 29 | Uganda | 15 1000 t | 2023 | up 150.0% | rising |
| 31 | United Arab Emirates | 13 1000 t | 2023 | — | volatile |
| 32 | Philippines | 12 1000 t | 2023 | up 500.0% | volatile |
| 32 | Sierra Leone | 12 1000 t | 2023 | up 33.3% | falling |
| 32 | Thailand | 12 1000 t | 2023 | down 45.5% | falling |
| 35 | China, Hong Kong SAR | 10 1000 t | 2023 | up 42.9% | rising |
| 36 | Iraq | 9 1000 t | 2023 | up 200.0% | volatile |
| 36 | Zimbabwe | 9 1000 t | 2023 | up 12.5% | falling |
| 38 | Nicaragua | 8 1000 t | 2023 | up 166.7% | rising |
| 39 | Argentina | 7 1000 t | 2023 | up 75.0% | volatile |
| 39 | Rwanda | 7 1000 t | 2023 | up 600.0% | volatile |
| 41 | France | 6 1000 t | 2023 | down 53.8% | falling |
| 42 | Brazil | 5 1000 t | 2023 | up 25.0% | volatile |
| 42 | Zambia | 5 1000 t | 2023 | up 25.0% | falling |
| 42 | China, Taiwan Province of | 5 1000 t | 2023 | down 16.7% | falling |
| 45 | Canada | 4 1000 t | 2023 | up 100.0% | rising |
| 45 | Switzerland | 4 1000 t | 2023 | down 55.6% | falling |
| 45 | Greece | 4 1000 t | 2023 | unchanged | flat |
| 45 | Laos | 4 1000 t | 2023 | down 33.3% | falling |
| 45 | Lebanon | 4 1000 t | 2023 | down 20.0% | falling |
| 45 | Mexico | 4 1000 t | 2023 | up 33.3% | rising |
| 45 | Malaysia | 4 1000 t | 2023 | up 33.3% | rising |
| 45 | Lao People's Democratic Republic | 4 1000 t | 2023 | down 33.3% | falling |
| 53 | Australia | 3 1000 t | 2023 | up 200.0% | rising |
| 53 | Congo | 3 1000 t | 2023 | up 50.0% | rising |
| 53 | Czechia | 3 1000 t | 2023 | up 200.0% | rising |
| 53 | Ethiopia | 3 1000 t | 2023 | unchanged | volatile |
| 53 | United Kingdom | 3 1000 t | 2023 | up 50.0% | rising |
| 53 | Nepal | 3 1000 t | 2023 | up 50.0% | rising |
| 53 | Portugal | 3 1000 t | 2023 | up 200.0% | volatile |
| 53 | Caribbean | 3 1000 t | 2023 | up 50.0% | rising |
| 53 | Australia and New Zealand | 3 1000 t | 2023 | up 50.0% | rising |
| 53 | United Kingdom of Great Britain and Northern Ireland | 3 1000 t | 2023 | up 50.0% | rising |
| 63 | Germany | 2 1000 t | 2023 | down 50.0% | volatile |
| 63 | Dominican Republic | 2 1000 t | 2023 | up 100.0% | rising |
| 63 | Mozambique | 2 1000 t | 2023 | down 83.3% | falling |
| 63 | Venezuela (Bolivarian Republic of) | 2 1000 t | 2023 | up 100.0% | volatile |
| 63 | United Republic of Tanzania | 2 1000 t | 2023 | down 84.6% | falling |
| 68 | Denmark | 1 1000 t | 2023 | unchanged | falling |
| 68 | Spain | 1 1000 t | 2023 | unchanged | volatile |
| 68 | Gambia | 1 1000 t | 2023 | down 94.4% | volatile |
| 68 | Kuwait | 1 1000 t | 2023 | — | volatile |
| 68 | Sri Lanka | 1 1000 t | 2023 | unchanged | falling |
| 68 | Mauritania | 1 1000 t | 2023 | unchanged | volatile |
| 68 | Norway | 1 1000 t | 2023 | down 50.0% | falling |
| 68 | Paraguay | 1 1000 t | 2023 | down 50.0% | rising |
| 68 | Saudi Arabia | 1 1000 t | 2023 | unchanged | flat |
| 68 | Republic of Korea | 1 1000 t | 2023 | unchanged | flat |
| 68 | China, Macao SAR | 1 1000 t | 2023 | unchanged | flat |
| 79 | Austria | 0 1000 t | 2023 | — | volatile |
| 79 | Bulgaria | 0 1000 t | 2023 | — | volatile |
| 79 | Botswana | 0 1000 t | 2023 | — | volatile |
| 79 | Chile | 0 1000 t | 2023 | — | volatile |
| 79 | Guatemala | 0 1000 t | 2023 | — | volatile |
| 79 | Cambodia | 0 1000 t | 2023 | down 100.0% | volatile |
| 79 | Luxembourg | 0 1000 t | 2023 | down 100.0% | volatile |
| 79 | Madagascar | 0 1000 t | 2023 | down 100.0% | volatile |
| 79 | Oman | 0 1000 t | 2023 | — | volatile |
| 79 | Qatar | 0 1000 t | 2023 | — | volatile |
| 79 | Ukraine | 0 1000 t | 2023 | — | volatile |
| 79 | Yemen | 0 1000 t | 2023 | — | volatile |
| 79 | South Africa | 0 1000 t | 2023 | down 100.0% | volatile |
| 79 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | down 100.0% | volatile |
| 79 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | volatile |
| 188 | Belgium | -2 1000 t | 2023 | down 118.2% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 4,975 1000 t
- Asia 3,183 1000 t
- Eastern Asia 2,111 1000 t
- Africa 1,505 1000 t
- Net Food Importing Developing Countries (NFIDCs) 1,223 1000 t
- Least Developed Countries (LDCs) 1,145 1000 t
- Low Income Food Deficit Countries (LIFDCs) 924 1000 t
- Western Africa 923 1000 t
- Southern Asia 712 1000 t
- South-Eastern Asia 330 1000 t
- Land Locked Developing Countries (LLDCs) 302 1000 t
- Northern Africa 262 1000 t
- Middle Africa 221 1000 t
- Americas 152 1000 t
- Europe 133 1000 t
- European Union (27) 124 1000 t
- Northern America 121 1000 t
- United States of America 118 1000 t
- Eastern Africa 98 1000 t
- Western Europe 63 1000 t
- Southern Europe 40 1000 t
- Small island developing States (SIDS) 37 1000 t
- Western Asia 29 1000 t
- Eastern Europe 24 1000 t
- South America 15 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.