Beans — Feed 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 — Feed is currently reported for 104 countries. The highest value is 910 1000 t in China; the lowest is 0 1000 t in Syrian Arab Republic.
The median across all reporting countries is 2 1000 t, and the mean is 39.94 1000 t.
Over the past decade 21 countries rose and 46 fell. The largest increase was in China, mainland (up 749.5%), and the largest decrease in Colombia (down 100.0%).
Beans — Feed: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 910 1000 t | 2023 | up 742.6% | volatile |
| 2 | China, mainland | 909 1000 t | 2023 | up 749.5% | volatile |
| 3 | Myanmar | 872 1000 t | 2023 | down 61.8% | falling |
| 4 | India | 342 1000 t | 2023 | up 50.7% | rising |
| 5 | Belarus | 240 1000 t | 2023 | up 18.8% | rising |
| 6 | Mozambique | 167 1000 t | 2023 | up 183.1% | volatile |
| 7 | Angola | 88 1000 t | 2023 | up 109.5% | rising |
| 8 | United Kingdom | 82 1000 t | 2023 | up 20.6% | rising |
| 8 | United Kingdom of Great Britain and Northern Ireland | 82 1000 t | 2023 | up 20.6% | rising |
| 10 | United Republic of Tanzania | 47 1000 t | 2023 | down 11.3% | rising |
| 11 | Bangladesh | 45 1000 t | 2023 | up 136.8% | rising |
| 12 | Malawi | 37 1000 t | 2023 | up 94.7% | rising |
| 13 | Vietnam | 27 1000 t | 2023 | up 17.4% | flat |
| 13 | Viet Nam | 27 1000 t | 2023 | up 17.4% | flat |
| 15 | Iran (Islamic Republic of) | 25 1000 t | 2023 | down 16.7% | falling |
| 16 | Italy | 23 1000 t | 2023 | up 228.6% | rising |
| 17 | Bolivia (Plurinational State of) | 21 1000 t | 2023 | up 200.0% | rising |
| 18 | Georgia | 15 1000 t | 2023 | unchanged | falling |
| 19 | Brazil | 13 1000 t | 2023 | — | volatile |
| 20 | Russia | 11 1000 t | 2023 | down 54.2% | volatile |
| 20 | Caribbean | 11 1000 t | 2023 | down 64.5% | falling |
| 20 | Russian Federation | 11 1000 t | 2023 | down 54.2% | volatile |
| 23 | Netherlands (Kingdom of the) | 10 1000 t | 2023 | down 37.5% | falling |
| 24 | United Arab Emirates | 8 1000 t | 2023 | up 700.0% | volatile |
| 24 | Guinea | 8 1000 t | 2023 | — | volatile |
| 26 | Morocco | 7 1000 t | 2023 | down 22.2% | volatile |
| 27 | Cuba | 6 1000 t | 2019 | up 20.0% | flat |
| 28 | Afghanistan | 5 1000 t | 2023 | up 400.0% | volatile |
| 28 | Cameroon | 5 1000 t | 2023 | — | volatile |
| 28 | Germany | 5 1000 t | 2023 | down 37.5% | falling |
| 28 | Portugal | 5 1000 t | 2023 | down 28.6% | falling |
| 28 | Eswatini | 5 1000 t | 2023 | up 400.0% | volatile |
| 33 | Ethiopia | 4 1000 t | 2023 | down 69.2% | falling |
| 33 | Honduras | 4 1000 t | 2023 | down 20.0% | volatile |
| 33 | Senegal | 4 1000 t | 2023 | — | volatile |
| 36 | Australia | 3 1000 t | 2023 | up 200.0% | volatile |
| 36 | Costa Rica | 3 1000 t | 2023 | up 50.0% | volatile |
| 36 | Spain | 3 1000 t | 2023 | — | volatile |
| 36 | Croatia | 3 1000 t | 2023 | down 40.0% | falling |
| 36 | Iraq | 3 1000 t | 2023 | — | volatile |
| 36 | Jamaica | 3 1000 t | 2023 | down 25.0% | falling |
| 36 | Peru | 3 1000 t | 2023 | down 57.1% | falling |
| 36 | Democratic Republic of the Congo | 3 1000 t | 2023 | down 90.3% | volatile |
| 36 | Australia and New Zealand | 3 1000 t | 2023 | — | volatile |
| 45 | Azerbaijan | 2 1000 t | 2023 | up 100.0% | rising |
| 45 | Algeria | 2 1000 t | 2023 | — | volatile |
| 45 | France | 2 1000 t | 2023 | — | volatile |
| 45 | Hungary | 2 1000 t | 2023 | — | volatile |
| 45 | Ireland | 2 1000 t | 2023 | down 71.4% | volatile |
| 45 | Cambodia | 2 1000 t | 2023 | — | volatile |
| 45 | Lesotho | 2 1000 t | 2023 | down 60.0% | falling |
| 45 | North Macedonia | 2 1000 t | 2023 | unchanged | flat |
| 45 | Rwanda | 2 1000 t | 2023 | unchanged | rising |
| 45 | Thailand | 2 1000 t | 2023 | down 33.3% | falling |
| 45 | Turkey | 2 1000 t | 2023 | down 77.8% | volatile |
| 45 | South Africa | 2 1000 t | 2023 | down 50.0% | volatile |
| 45 | Türkiye | 2 1000 t | 2023 | down 77.8% | volatile |
| 58 | Albania | 1 1000 t | 2023 | — | volatile |
| 58 | Belgium | 1 1000 t | 2023 | unchanged | volatile |
| 58 | Belize | 1 1000 t | 2023 | — | volatile |
| 58 | Czechia | 1 1000 t | 2023 | unchanged | flat |
| 58 | Djibouti | 1 1000 t | 2023 | — | volatile |
| 58 | Ghana | 1 1000 t | 2023 | — | falling |
| 58 | Kuwait | 1 1000 t | 2023 | unchanged | flat |
| 58 | Libya | 1 1000 t | 2023 | down 50.0% | volatile |
| 58 | Lithuania | 1 1000 t | 2023 | down 88.9% | volatile |
| 58 | Philippines | 1 1000 t | 2023 | — | volatile |
| 58 | Qatar | 1 1000 t | 2023 | — | volatile |
| 58 | Saudi Arabia | 1 1000 t | 2023 | — | volatile |
| 58 | El Salvador | 1 1000 t | 2023 | down 50.0% | volatile |
| 58 | Slovenia | 1 1000 t | 2023 | unchanged | volatile |
| 58 | Tajikistan | 1 1000 t | 2023 | — | volatile |
| 58 | East Timor | 1 1000 t | 2023 | down 50.0% | falling |
| 58 | Yemen | 1 1000 t | 2023 | down 66.7% | volatile |
| 58 | Zimbabwe | 1 1000 t | 2023 | down 66.7% | volatile |
| 58 | Timor-Leste | 1 1000 t | 2023 | down 50.0% | falling |
| 58 | China, Hong Kong SAR | 1 1000 t | 2023 | unchanged | rising |
| 78 | Argentina | 0 1000 t | 2023 | — | volatile |
| 78 | Bulgaria | 0 1000 t | 2023 | — | volatile |
| 78 | Congo | 0 1000 t | 2023 | — | volatile |
| 78 | Colombia | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | Egypt | 0 1000 t | 2023 | — | volatile |
| 78 | Estonia | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | Greece | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | Guatemala | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | Haiti | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | Israel | 0 1000 t | 2023 | down 100.0% | falling |
| 78 | Kazakhstan | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | Kenya | 0 1000 t | 2022 | down 100.0% | volatile |
| 78 | Sri Lanka | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | Latvia | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | Madagascar | 0 1000 t | 2023 | — | volatile |
| 78 | Mexico | 0 1000 t | 2023 | — | volatile |
| 78 | Nepal | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | Panama | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | Poland | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | Paraguay | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | Romania | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | Slovakia | 0 1000 t | 2023 | — | volatile |
| 78 | Syria | 0 1000 t | 2023 | — | volatile |
| 78 | Ukraine | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | United States | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | Republic of Korea | 0 1000 t | 2023 | — | volatile |
| 78 | Syrian Arab 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 3,471 1000 t
- Asia 2,272 1000 t
- Net Food Importing Developing Countries (NFIDCs) 1,674 1000 t
- Least Developed Countries (LDCs) 1,643 1000 t
- Eastern Asia 912 1000 t
- South-Eastern Asia 906 1000 t
- Africa 740 1000 t
- Low Income Food Deficit Countries (LIFDCs) 642 1000 t
- Southern Asia 417 1000 t
- Europe 394 1000 t
- Eastern Africa 340 1000 t
- Land Locked Developing Countries (LLDCs) 292 1000 t
- Western Africa 284 1000 t
- Eastern Europe 254 1000 t
- Middle Africa 97 1000 t
- Northern Europe 85 1000 t
- Americas 61 1000 t
- European Union (27) 59 1000 t
- Southern Europe 37 1000 t
- South America 36 1000 t
- Western Asia 35 1000 t
- Western Europe 18 1000 t
- Small island developing States (SIDS) 13 1000 t
- Northern Africa 11 1000 t
- Southern Africa 9 1000 t
- Central America 9 1000 t
- Northern America 5 1000 t
- Oceania 3 1000 t
- Central Asia 2 1000 t
- United States of America 0 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.