Groundnuts — Processing 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
Groundnuts — Processing is currently reported for 88 countries. The highest value is 7,149 1000 t in China; the lowest is 0 1000 t in Ukraine.
The median across all reporting countries is 17.5 1000 t, and the mean is 286.28 1000 t.
Over the past decade 46 countries rose and 25 fell. The largest increase was in Philippines (up 566.7%), and the largest decrease in Cuba (down 100.0%).
Groundnuts — Processing: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 7,149 1000 t | 2023 | down 7.5% | falling |
| 2 | China, mainland | 7,132 1000 t | 2023 | down 7.4% | falling |
| 3 | India | 2,754 1000 t | 2023 | down 37.7% | falling |
| 4 | Nigeria | 2,111 1000 t | 2023 | up 15.9% | rising |
| 5 | Myanmar | 843 1000 t | 2023 | up 10.3% | falling |
| 6 | Senegal | 439 1000 t | 2023 | up 20.9% | flat |
| 7 | Guinea | 406 1000 t | 2023 | up 75.0% | rising |
| 8 | Brazil | 315 1000 t | 2023 | up 41.9% | rising |
| 9 | United States | 298 1000 t | 2023 | unchanged | rising |
| 10 | Ghana | 294 1000 t | 2023 | up 47.7% | rising |
| 11 | Vietnam | 291 1000 t | 2023 | up 162.2% | rising |
| 11 | Viet Nam | 291 1000 t | 2023 | up 162.2% | rising |
| 13 | Cameroon | 276 1000 t | 2023 | up 8.7% | rising |
| 14 | Malawi | 229 1000 t | 2023 | up 8.0% | rising |
| 15 | Netherlands (Kingdom of the) | 150 1000 t | 2023 | down 28.6% | falling |
| 16 | Argentina | 145 1000 t | 2023 | down 18.1% | rising |
| 17 | Algeria | 143 1000 t | 2023 | up 130.6% | rising |
| 18 | Niger | 138 1000 t | 2023 | up 36.6% | rising |
| 19 | Uganda | 135 1000 t | 2023 | up 159.6% | rising |
| 20 | Guinea-Bissau | 122 1000 t | 2023 | up 159.6% | rising |
| 21 | Angola | 101 1000 t | 2023 | up 94.2% | rising |
| 22 | Burkina Faso | 98 1000 t | 2023 | up 326.1% | volatile |
| 23 | Pakistan | 92 1000 t | 2023 | up 17.9% | rising |
| 24 | Nicaragua | 84 1000 t | 2023 | up 25.4% | rising |
| 25 | Indonesia | 74 1000 t | 2023 | down 38.3% | falling |
| 26 | Bangladesh | 73 1000 t | 2023 | up 87.2% | rising |
| 27 | Poland | 64 1000 t | 2023 | up 178.3% | rising |
| 28 | Cote d'Ivoire | 58 1000 t | 2023 | up 56.8% | rising |
| 28 | Democratic Republic of the Congo | 58 1000 t | 2023 | unchanged | rising |
| 28 | Côte d'Ivoire | 58 1000 t | 2023 | up 56.8% | rising |
| 31 | Egypt | 54 1000 t | 2023 | down 18.2% | falling |
| 32 | Morocco | 46 1000 t | 2023 | up 27.8% | rising |
| 33 | Sierra Leone | 44 1000 t | 2023 | up 15.8% | flat |
| 34 | Zimbabwe | 42 1000 t | 2023 | down 14.3% | falling |
| 35 | Philippines | 40 1000 t | 2023 | up 566.7% | volatile |
| 36 | Russia | 39 1000 t | 2023 | — | volatile |
| 36 | Russian Federation | 39 1000 t | 2023 | — | volatile |
| 38 | Thailand | 38 1000 t | 2023 | down 50.0% | falling |
| 39 | Gambia | 36 1000 t | 2023 | down 44.6% | volatile |
| 40 | Iraq | 28 1000 t | 2023 | up 300.0% | rising |
| 41 | Rwanda | 27 1000 t | 2023 | up 440.0% | volatile |
| 42 | Sri Lanka | 26 1000 t | 2023 | down 3.7% | rising |
| 43 | Zambia | 19 1000 t | 2023 | up 18.8% | falling |
| 44 | Belgium | 18 1000 t | 2023 | up 38.5% | rising |
| 45 | China, Taiwan Province of | 17 1000 t | 2023 | down 22.7% | falling |
| 46 | Greece | 16 1000 t | 2023 | up 33.3% | rising |
| 47 | Italy | 14 1000 t | 2023 | unchanged | rising |
| 47 | Laos | 14 1000 t | 2023 | down 30.0% | falling |
| 47 | Lebanon | 14 1000 t | 2023 | down 6.7% | falling |
| 47 | Mexico | 14 1000 t | 2023 | up 55.6% | rising |
| 47 | Lao People's Democratic Republic | 14 1000 t | 2023 | down 30.0% | falling |
| 52 | Nepal | 12 1000 t | 2023 | up 140.0% | rising |
| 53 | Malaysia | 11 1000 t | 2023 | up 83.3% | rising |
| 53 | Portugal | 11 1000 t | 2023 | up 175.0% | volatile |
| 55 | Jordan | 10 1000 t | 2023 | up 233.3% | volatile |
| 55 | Caribbean | 10 1000 t | 2023 | up 66.7% | rising |
| 57 | Congo | 9 1000 t | 2023 | down 10.0% | falling |
| 57 | Ethiopia | 9 1000 t | 2023 | up 50.0% | rising |
| 57 | United Republic of Tanzania | 9 1000 t | 2023 | down 85.2% | falling |
| 60 | Dominican Republic | 8 1000 t | 2023 | up 60.0% | rising |
| 60 | Mozambique | 8 1000 t | 2023 | down 76.5% | falling |
| 62 | Australia | 7 1000 t | 2023 | up 133.3% | rising |
| 62 | Paraguay | 7 1000 t | 2023 | down 12.5% | falling |
| 62 | Venezuela (Bolivarian Republic of) | 7 1000 t | 2023 | up 40.0% | volatile |
| 62 | Australia and New Zealand | 7 1000 t | 2023 | up 133.3% | rising |
| 66 | Hungary | 6 1000 t | 2023 | up 20.0% | rising |
| 66 | Saudi Arabia | 6 1000 t | 2023 | up 20.0% | rising |
| 68 | Switzerland | 4 1000 t | 2023 | unchanged | rising |
| 68 | Czechia | 4 1000 t | 2023 | unchanged | rising |
| 70 | Denmark | 3 1000 t | 2023 | up 50.0% | rising |
| 70 | Republic of Korea | 3 1000 t | 2023 | unchanged | falling |
| 72 | Albania | 2 1000 t | 2023 | — | volatile |
| 72 | United Arab Emirates | 2 1000 t | 2023 | up 100.0% | volatile |
| 72 | Kuwait | 2 1000 t | 2023 | unchanged | falling |
| 72 | Madagascar | 2 1000 t | 2022 | down 85.7% | volatile |
| 72 | Mauritania | 2 1000 t | 2023 | up 100.0% | rising |
| 72 | Trinidad and Tobago | 2 1000 t | 2023 | — | rising |
| 72 | Bolivia (Plurinational State of) | 2 1000 t | 2020 | down 60.0% | falling |
| 79 | Botswana | 1 1000 t | 2023 | — | volatile |
| 79 | Guatemala | 1 1000 t | 2023 | unchanged | rising |
| 79 | Cambodia | 1 1000 t | 2023 | down 50.0% | falling |
| 79 | Slovakia | 1 1000 t | 2023 | unchanged | flat |
| 79 | Tonga | 1 1000 t | 2023 | — | volatile |
| 79 | Uruguay | 1 1000 t | 2023 | unchanged | flat |
| 79 | South Africa | 1 1000 t | 2023 | down 90.0% | volatile |
| 79 | Polynesia | 1 1000 t | 2023 | — | volatile |
| 87 | Cuba | 0 1000 t | 2019 | down 100.0% | volatile |
| 87 | Ukraine | 0 1000 t | 2022 | 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 18,896 1000 t
- Asia 11,482 1000 t
- Eastern Asia 7,152 1000 t
- Africa 6,193 1000 t
- Net Food Importing Developing Countries (NFIDCs) 4,406 1000 t
- Least Developed Countries (LDCs) 4,100 1000 t
- Western Africa 4,005 1000 t
- Low Income Food Deficit Countries (LIFDCs) 3,461 1000 t
- Southern Asia 2,956 1000 t
- South-Eastern Asia 1,312 1000 t
- Land Locked Developing Countries (LLDCs) 1,292 1000 t
- Americas 883 1000 t
- Northern Africa 859 1000 t
- Middle Africa 844 1000 t
- Eastern Africa 483 1000 t
- South America 475 1000 t
- Europe 331 1000 t
- Northern America 298 1000 t
- United States of America 298 1000 t
- European Union (27) 286 1000 t
- Western Europe 172 1000 t
- Small island developing States (SIDS) 132 1000 t
- Eastern Europe 113 1000 t
- Central America 100 1000 t
- Western Asia 61 1000 t
- Southern Europe 43 1000 t
- Oceania 8 1000 t
- Northern Europe 3 1000 t
- Southern Africa 2 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.