Groundnuts — Losses 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 — Losses is currently reported for 120 countries. The highest value is 999 1000 t in China; the lowest is 0 1000 t in Venezuela (Bolivarian Republic of).
The median across all reporting countries is 1 1000 t, and the mean is 29.59 1000 t.
Over the past decade 21 countries rose and 22 fell. The largest increase was in Egypt (up 650.0%), and the largest decrease in Jamaica (down 100.0%).
Groundnuts — Losses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 999 1000 t | 2023 | up 13.9% | rising |
| 2 | China, mainland | 998 1000 t | 2023 | up 13.9% | rising |
| 3 | India | 417 1000 t | 2023 | down 4.1% | falling |
| 4 | Nigeria | 309 1000 t | 2023 | up 66.1% | rising |
| 5 | Guinea | 200 1000 t | 2023 | up 640.7% | volatile |
| 6 | Myanmar | 96 1000 t | 2023 | up 24.7% | rising |
| 7 | Burkina Faso | 50 1000 t | 2023 | up 92.3% | rising |
| 8 | United Republic of Tanzania | 44 1000 t | 2023 | down 58.9% | falling |
| 9 | Cameroon | 41 1000 t | 2023 | down 14.6% | falling |
| 10 | Senegal | 37 1000 t | 2023 | up 117.6% | rising |
| 11 | Indonesia | 32 1000 t | 2023 | up 357.1% | volatile |
| 12 | Viet Nam | 30 1000 t | 2023 | down 18.9% | falling |
| 13 | Democratic Republic of the Congo | 25 1000 t | 2023 | down 19.4% | falling |
| 14 | Malawi | 20 1000 t | 2023 | down 9.1% | flat |
| 15 | Angola | 19 1000 t | 2023 | up 35.7% | rising |
| 16 | Brazil | 18 1000 t | 2023 | up 125.0% | rising |
| 16 | Ghana | 18 1000 t | 2023 | up 80.0% | rising |
| 16 | Côte d'Ivoire | 18 1000 t | 2023 | up 157.1% | rising |
| 19 | Mozambique | 17 1000 t | 2023 | up 142.9% | flat |
| 20 | Egypt | 15 1000 t | 2023 | up 650.0% | volatile |
| 21 | Niger | 14 1000 t | 2023 | up 40.0% | rising |
| 21 | Zambia | 14 1000 t | 2023 | up 75.0% | falling |
| 23 | Zimbabwe | 12 1000 t | 2023 | up 140.0% | rising |
| 24 | Argentina | 10 1000 t | 2023 | unchanged | rising |
| 24 | Türkiye | 10 1000 t | 2023 | up 42.9% | rising |
| 26 | Ethiopia | 9 1000 t | 2023 | up 12.5% | rising |
| 27 | Pakistan | 8 1000 t | 2023 | unchanged | rising |
| 28 | Mexico | 7 1000 t | 2023 | down 12.5% | falling |
| 28 | Nicaragua | 7 1000 t | 2023 | down 50.0% | falling |
| 28 | Sierra Leone | 7 1000 t | 2023 | unchanged | rising |
| 31 | Guinea-Bissau | 6 1000 t | 2023 | up 100.0% | rising |
| 32 | Gambia | 4 1000 t | 2023 | down 42.9% | falling |
| 32 | Uganda | 4 1000 t | 2023 | down 50.0% | falling |
| 34 | Lao People's Democratic Republic | 3 1000 t | 2023 | down 25.0% | falling |
| 35 | Congo | 2 1000 t | 2023 | unchanged | flat |
| 35 | Madagascar | 2 1000 t | 2023 | up 100.0% | rising |
| 35 | Thailand | 2 1000 t | 2023 | down 33.3% | falling |
| 35 | Caribbean | 2 1000 t | 2023 | down 60.0% | falling |
| 39 | Australia | 1 1000 t | 2023 | down 50.0% | falling |
| 39 | Bangladesh | 1 1000 t | 2023 | unchanged | rising |
| 39 | Dominican Republic | 1 1000 t | 2023 | — | volatile |
| 39 | Algeria | 1 1000 t | 2023 | — | volatile |
| 39 | Gabon | 1 1000 t | 2023 | unchanged | flat |
| 39 | Guatemala | 1 1000 t | 2023 | unchanged | flat |
| 39 | Haiti | 1 1000 t | 2023 | down 66.7% | falling |
| 39 | Israel | 1 1000 t | 2023 | unchanged | flat |
| 39 | Kenya | 1 1000 t | 2023 | down 85.7% | volatile |
| 39 | Cambodia | 1 1000 t | 2023 | down 50.0% | falling |
| 39 | Lebanon | 1 1000 t | 2023 | unchanged | flat |
| 39 | Liberia | 1 1000 t | 2023 | — | volatile |
| 39 | Libya | 1 1000 t | 2023 | unchanged | falling |
| 39 | Sri Lanka | 1 1000 t | 2023 | unchanged | flat |
| 39 | Morocco | 1 1000 t | 2023 | unchanged | flat |
| 39 | Paraguay | 1 1000 t | 2023 | down 50.0% | falling |
| 39 | Rwanda | 1 1000 t | 2023 | unchanged | rising |
| 39 | Tajikistan | 1 1000 t | 2023 | — | volatile |
| 39 | Uzbekistan | 1 1000 t | 2023 | — | volatile |
| 39 | Bolivia (Plurinational State of) | 1 1000 t | 2023 | unchanged | flat |
| 39 | Iran (Islamic Republic of) | 1 1000 t | 2023 | down 50.0% | falling |
| 39 | Republic of Korea | 1 1000 t | 2023 | unchanged | flat |
| 39 | Syrian Arab Republic | 1 1000 t | 2023 | unchanged | rising |
| 39 | Australia and New Zealand | 1 1000 t | 2023 | down 50.0% | falling |
| 39 | China, Taiwan Province of | 1 1000 t | 2023 | unchanged | falling |
| 64 | United Arab Emirates | 0 1000 t | 2023 | — | flat |
| 64 | Bulgaria | 0 1000 t | 2023 | — | flat |
| 64 | Bahrain | 0 1000 t | 2023 | — | flat |
| 64 | Belize | 0 1000 t | 2023 | — | flat |
| 64 | Barbados | 0 1000 t | 2023 | — | flat |
| 64 | Bhutan | 0 1000 t | 2023 | — | flat |
| 64 | Botswana | 0 1000 t | 2023 | — | flat |
| 64 | Colombia | 0 1000 t | 2023 | — | flat |
| 64 | Comoros | 0 1000 t | 2023 | — | flat |
| 64 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 64 | Cuba | 0 1000 t | 2019 | — | flat |
| 64 | Cyprus | 0 1000 t | 2023 | — | flat |
| 64 | Germany | 0 1000 t | 2023 | — | volatile |
| 64 | Ecuador | 0 1000 t | 2023 | — | volatile |
| 64 | Spain | 0 1000 t | 2023 | — | flat |
| 64 | Finland | 0 1000 t | 2023 | — | flat |
| 64 | Fiji | 0 1000 t | 2023 | — | flat |
| 64 | Georgia | 0 1000 t | 2023 | — | flat |
| 64 | Greece | 0 1000 t | 2023 | — | flat |
| 64 | Guyana | 0 1000 t | 2023 | — | flat |
| 64 | Honduras | 0 1000 t | 2023 | — | flat |
| 64 | Hungary | 0 1000 t | 2023 | — | flat |
| 64 | Iraq | 0 1000 t | 2023 | — | volatile |
| 64 | Italy | 0 1000 t | 2018 | — | flat |
| 64 | Jamaica | 0 1000 t | 2023 | down 100.0% | volatile |
| 64 | Jordan | 0 1000 t | 2019 | — | flat |
| 64 | Kazakhstan | 0 1000 t | 2023 | — | flat |
| 64 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 64 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 64 | Luxembourg | 0 1000 t | 2018 | — | flat |
| 64 | Mauritania | 0 1000 t | 2023 | — | flat |
| 64 | Mauritius | 0 1000 t | 2023 | — | flat |
| 64 | Malaysia | 0 1000 t | 2023 | — | flat |
| 64 | Namibia | 0 1000 t | 2023 | — | flat |
| 64 | Norway | 0 1000 t | 2023 | — | flat |
| 64 | Peru | 0 1000 t | 2023 | — | flat |
| 64 | Philippines | 0 1000 t | 2023 | down 100.0% | volatile |
| 64 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 64 | Portugal | 0 1000 t | 2018 | — | flat |
| 64 | Qatar | 0 1000 t | 2023 | — | flat |
| 64 | Saudi Arabia | 0 1000 t | 2023 | — | flat |
| 64 | El Salvador | 0 1000 t | 2019 | — | flat |
| 64 | Suriname | 0 1000 t | 2023 | — | flat |
| 64 | Sweden | 0 1000 t | 2023 | — | flat |
| 64 | Eswatini | 0 1000 t | 2023 | — | flat |
| 64 | Tonga | 0 1000 t | 2023 | — | flat |
| 64 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 64 | Uruguay | 0 1000 t | 2023 | — | flat |
| 64 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 64 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 64 | Yemen | 0 1000 t | 2023 | — | flat |
| 64 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 64 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 64 | Melanesia | 0 1000 t | 2023 | — | flat |
| 64 | Polynesia | 0 1000 t | 2023 | — | flat |
| 64 | China, Hong Kong SAR | 0 1000 t | 2018 | — | flat |
| 64 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 2,960 1000 t
- Asia 1,608 1000 t
- Africa 1,138 1000 t
- Eastern Asia 999 1000 t
- Net Food Importing Developing Countries (NFIDCs) 864 1000 t
- Least Developed Countries (LDCs) 818 1000 t
- Low Income Food Deficit Countries (LIFDCs) 750 1000 t
- Western Africa 714 1000 t
- Southern Asia 428 1000 t
- Land Locked Developing Countries (LLDCs) 296 1000 t
- Americas 212 1000 t
- Middle Africa 191 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.