Beans — 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
Beans — Losses is currently reported for 95 countries. The highest value is 302 1000 t in India; the lowest is 0 1000 t in Lao People's Democratic Republic.
The median across all reporting countries is 2 1000 t, and the mean is 17.99 1000 t.
Over the past decade 29 countries rose and 29 fell. The largest increase was in Egypt (up 4,000.0%), and the largest decrease in Greece (down 100.0%).
Beans — Losses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 302 1000 t | 2023 | up 58.9% | rising |
| 2 | Myanmar | 230 1000 t | 2023 | up 11.1% | rising |
| 3 | Kenya | 175 1000 t | 2023 | up 49.6% | rising |
| 4 | Brazil | 133 1000 t | 2023 | down 2.2% | falling |
| 5 | China | 94 1000 t | 2023 | up 70.9% | rising |
| 6 | China, mainland | 91 1000 t | 2023 | up 82.0% | rising |
| 7 | United Republic of Tanzania | 70 1000 t | 2023 | up 32.1% | rising |
| 8 | Cameroon | 63 1000 t | 2023 | up 28.6% | rising |
| 9 | Malawi | 44 1000 t | 2023 | up 15.8% | rising |
| 10 | Uganda | 42 1000 t | 2023 | down 4.5% | flat |
| 11 | Egypt | 41 1000 t | 2023 | up 4,000.0% | volatile |
| 12 | Ethiopia | 29 1000 t | 2023 | up 3.6% | rising |
| 13 | Democratic Republic of the Congo | 28 1000 t | 2023 | up 16.7% | rising |
| 14 | Angola | 26 1000 t | 2023 | up 73.3% | rising |
| 14 | Mozambique | 26 1000 t | 2023 | up 100.0% | volatile |
| 16 | Guatemala | 23 1000 t | 2023 | down 34.3% | falling |
| 17 | Mexico | 20 1000 t | 2023 | down 67.2% | falling |
| 18 | Democratic People's Republic of Korea | 15 1000 t | 2018 | down 6.2% | flat |
| 19 | Argentina | 14 1000 t | 2023 | up 180.0% | falling |
| 20 | Indonesia | 13 1000 t | 2023 | down 56.7% | falling |
| 20 | Peru | 13 1000 t | 2023 | up 8.3% | flat |
| 22 | Belarus | 12 1000 t | 2023 | up 20.0% | rising |
| 22 | Rwanda | 12 1000 t | 2023 | down 42.9% | rising |
| 22 | Vietnam | 12 1000 t | 2023 | up 50.0% | rising |
| 22 | Viet Nam | 12 1000 t | 2023 | up 50.0% | rising |
| 26 | Madagascar | 9 1000 t | 2023 | up 12.5% | flat |
| 26 | Turkey | 9 1000 t | 2023 | up 50.0% | rising |
| 26 | Türkiye | 9 1000 t | 2023 | up 50.0% | rising |
| 29 | Albania | 8 1000 t | 2023 | down 11.1% | falling |
| 29 | Canada | 8 1000 t | 2023 | up 33.3% | rising |
| 29 | Honduras | 8 1000 t | 2023 | up 60.0% | rising |
| 29 | Pakistan | 8 1000 t | 2023 | up 60.0% | rising |
| 33 | Nicaragua | 7 1000 t | 2023 | down 22.2% | falling |
| 33 | Caribbean | 7 1000 t | 2023 | down 12.5% | flat |
| 33 | Iran (Islamic Republic of) | 7 1000 t | 2023 | down 22.2% | falling |
| 36 | Colombia | 6 1000 t | 2023 | down 14.3% | falling |
| 36 | El Salvador | 6 1000 t | 2023 | unchanged | rising |
| 38 | Ghana | 5 1000 t | 2023 | down 44.4% | falling |
| 38 | Thailand | 5 1000 t | 2023 | unchanged | flat |
| 38 | Bolivia (Plurinational State of) | 5 1000 t | 2023 | up 25.0% | rising |
| 41 | Bangladesh | 4 1000 t | 2023 | up 100.0% | rising |
| 41 | Haiti | 4 1000 t | 2023 | down 20.0% | falling |
| 41 | Kyrgyzstan | 4 1000 t | 2023 | unchanged | rising |
| 41 | Cambodia | 4 1000 t | 2023 | up 33.3% | rising |
| 45 | Dominican Republic | 3 1000 t | 2023 | up 50.0% | rising |
| 45 | Venezuela (Bolivarian Republic of) | 3 1000 t | 2023 | up 200.0% | volatile |
| 45 | China, Taiwan Province of | 3 1000 t | 2023 | down 40.0% | falling |
| 48 | Australia | 2 1000 t | 2023 | unchanged | flat |
| 48 | Cote d'Ivoire | 2 1000 t | 2023 | unchanged | flat |
| 48 | Philippines | 2 1000 t | 2023 | unchanged | rising |
| 48 | Serbia | 2 1000 t | 2023 | down 33.3% | falling |
| 48 | Tajikistan | 2 1000 t | 2023 | — | volatile |
| 48 | Australia and New Zealand | 2 1000 t | 2023 | unchanged | flat |
| 48 | Côte d'Ivoire | 2 1000 t | 2023 | unchanged | flat |
| 55 | Bulgaria | 1 1000 t | 2023 | down 50.0% | falling |
| 55 | Bosnia and Herzegovina | 1 1000 t | 2023 | unchanged | volatile |
| 55 | Chile | 1 1000 t | 2023 | unchanged | flat |
| 55 | Costa Rica | 1 1000 t | 2023 | unchanged | flat |
| 55 | Djibouti | 1 1000 t | 2023 | — | volatile |
| 55 | Ecuador | 1 1000 t | 2023 | unchanged | flat |
| 55 | Spain | 1 1000 t | 2023 | down 66.7% | volatile |
| 55 | United Kingdom | 1 1000 t | 2023 | unchanged | flat |
| 55 | Iraq | 1 1000 t | 2023 | — | volatile |
| 55 | Kazakhstan | 1 1000 t | 2023 | — | volatile |
| 55 | Morocco | 1 1000 t | 2023 | — | volatile |
| 55 | North Macedonia | 1 1000 t | 2023 | unchanged | flat |
| 55 | Mauritania | 1 1000 t | 2023 | unchanged | flat |
| 55 | Niger | 1 1000 t | 2023 | unchanged | flat |
| 55 | Nepal | 1 1000 t | 2023 | unchanged | rising |
| 55 | Paraguay | 1 1000 t | 2023 | down 66.7% | falling |
| 55 | Eswatini | 1 1000 t | 2023 | — | volatile |
| 55 | East Timor | 1 1000 t | 2023 | — | volatile |
| 55 | United States | 1 1000 t | 2023 | unchanged | volatile |
| 55 | South Africa | 1 1000 t | 2023 | down 66.7% | falling |
| 55 | Zimbabwe | 1 1000 t | 2023 | unchanged | falling |
| 55 | Timor-Leste | 1 1000 t | 2023 | — | volatile |
| 55 | United Kingdom of Great Britain and Northern Ireland | 1 1000 t | 2023 | unchanged | flat |
| 78 | Azerbaijan | 0 1000 t | 2023 | — | volatile |
| 78 | Belize | 0 1000 t | 2023 | — | volatile |
| 78 | Estonia | 0 1000 t | 2023 | — | volatile |
| 78 | France | 0 1000 t | 2023 | — | volatile |
| 78 | Greece | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | Ireland | 0 1000 t | 2023 | — | volatile |
| 78 | Italy | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | Laos | 0 1000 t | 2023 | — | volatile |
| 78 | Libya | 0 1000 t | 2023 | — | volatile |
| 78 | Sri Lanka | 0 1000 t | 2023 | — | volatile |
| 78 | Lithuania | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | Latvia | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | Poland | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | Romania | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | Russia | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | Ukraine | 0 1000 t | 2023 | down 100.0% | falling |
| 78 | Russian Federation | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | Lao People's Democratic Republic | 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 1,668 1000 t
- Net Food Importing Developing Countries (NFIDCs) 871 1000 t
- Asia 722 1000 t
- Africa 657 1000 t
- Low Income Food Deficit Countries (LIFDCs) 614 1000 t
- Least Developed Countries (LDCs) 612 1000 t
- Eastern Africa 449 1000 t
- Southern Asia 322 1000 t
- South-Eastern Asia 268 1000 t
- Americas 257 1000 t
- Land Locked Developing Countries (LLDCs) 199 1000 t
- South America 176 1000 t
- Middle Africa 123 1000 t
- Eastern Asia 113 1000 t
- Central America 65 1000 t
- Northern Africa 43 1000 t
- Western Africa 41 1000 t
- Europe 30 1000 t
- Eastern Europe 14 1000 t
- Southern Europe 13 1000 t
- Western Asia 12 1000 t
- Northern America 9 1000 t
- Small island developing States (SIDS) 8 1000 t
- Central Asia 7 1000 t
- European Union (27) 5 1000 t
- Oceania 2 1000 t
- Southern Africa 2 1000 t
- Western Europe 1 1000 t
- Northern Europe 1 1000 t
- United States of America 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.