Beans — Food 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...
Countries reporting
154
Highest
5,720 1000 t
India
Lowest
0 1000 t
China, Macao SAR
Median
13 1000 t
Years covered
14
2010–2023
Data points
2,923
What the numbers show
Beans — Food is currently reported for 154 countries. The highest value is 5,720 1000 t in India; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 13 1000 t, and the mean is 139.4 1000 t.
Over the past decade 65 countries rose and 53 fell. The largest increase was in Argentina (up 4,960.0%), and the largest decrease in Belize (down 100.0%).
Beans — Food: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 5,720 1000 t | 2023 | up 42.3% | rising |
| 2 | Brazil | 2,604 1000 t | 2023 | down 17.5% | falling |
| 3 | United Republic of Tanzania | 1,053 1000 t | 2023 | up 63.8% | rising |
| 4 | Mexico | 939 1000 t | 2023 | down 24.3% | falling |
| 5 | Uganda | 763 1000 t | 2023 | down 8.5% | falling |
| 6 | Kenya | 744 1000 t | 2023 | up 30.1% | rising |
| 7 | United States | 717 1000 t | 2023 | down 21.2% | falling |
| 8 | China | 488 1000 t | 2023 | up 351.9% | volatile |
| 9 | China, mainland | 452 1000 t | 2023 | up 629.0% | volatile |
| 10 | Rwanda | 430 1000 t | 2023 | up 16.5% | rising |
| 11 | Ethiopia | 411 1000 t | 2023 | down 17.0% | falling |
| 12 | Cameroon | 330 1000 t | 2023 | up 21.3% | rising |
| 13 | Kazakhstan | 300 1000 t | 2023 | up 1,400.0% | volatile |
| 14 | Democratic People's Republic of Korea | 276 1000 t | 2018 | unchanged | flat |
| 15 | Pakistan | 264 1000 t | 2023 | up 39.7% | rising |
| 16 | Vietnam | 257 1000 t | 2023 | up 78.5% | rising |
| 16 | Viet Nam | 257 1000 t | 2023 | up 78.5% | rising |
| 18 | Angola | 255 1000 t | 2023 | up 49.1% | rising |
| 19 | Argentina | 253 1000 t | 2023 | up 4,960.0% | volatile |
| 20 | Turkey | 243 1000 t | 2023 | up 13.0% | rising |
| 20 | Türkiye | 243 1000 t | 2023 | up 13.0% | rising |
| 22 | Indonesia | 238 1000 t | 2023 | down 5.6% | falling |
| 23 | Democratic Republic of the Congo | 233 1000 t | 2023 | up 50.3% | rising |
| 24 | Caribbean | 204 1000 t | 2023 | down 33.3% | falling |
| 25 | Mozambique | 203 1000 t | 2023 | up 133.3% | volatile |
| 26 | Venezuela (Bolivarian Republic of) | 169 1000 t | 2023 | up 39.7% | rising |
| 27 | Colombia | 163 1000 t | 2023 | up 715.0% | rising |
| 28 | Ghana | 161 1000 t | 2023 | down 23.3% | falling |
| 29 | Honduras | 158 1000 t | 2023 | up 68.1% | rising |
| 30 | Myanmar | 156 1000 t | 2023 | down 0.6% | rising |
| 31 | Iran (Islamic Republic of) | 138 1000 t | 2023 | down 25.4% | falling |
| 32 | Guatemala | 137 1000 t | 2023 | down 29.0% | falling |
| 33 | Cuba | 136 1000 t | 2019 | up 18.3% | falling |
| 34 | El Salvador | 125 1000 t | 2023 | up 16.8% | rising |
| 35 | Malawi | 112 1000 t | 2023 | up 33.3% | rising |
| 36 | Italy | 110 1000 t | 2023 | down 7.6% | falling |
| 37 | Australia and New Zealand | 99 1000 t | 2023 | up 1,137.5% | volatile |
| 38 | Australia | 94 1000 t | 2023 | — | volatile |
| 39 | Nicaragua | 86 1000 t | 2023 | up 2.4% | rising |
| 40 | Philippines | 83 1000 t | 2023 | up 20.3% | rising |
| 41 | Iraq | 79 1000 t | 2023 | up 276.2% | volatile |
| 41 | Thailand | 79 1000 t | 2023 | up 14.5% | rising |
| 43 | Dominican Republic | 76 1000 t | 2023 | up 18.8% | rising |
| 44 | Cambodia | 71 1000 t | 2023 | up 4.4% | rising |
| 45 | Peru | 62 1000 t | 2023 | up 6.9% | rising |
| 46 | Republic of Korea | 61 1000 t | 2023 | up 19.6% | rising |
| 47 | Ukraine | 57 1000 t | 2023 | — | rising |
| 48 | Costa Rica | 56 1000 t | 2023 | up 16.7% | rising |
| 49 | Algeria | 53 1000 t | 2023 | down 15.9% | rising |
| 50 | Bangladesh | 48 1000 t | 2023 | up 29.7% | rising |
| 50 | South Africa | 48 1000 t | 2023 | down 39.2% | falling |
| 50 | Bolivia (Plurinational State of) | 48 1000 t | 2023 | up 71.4% | rising |
| 53 | Spain | 43 1000 t | 2023 | down 10.4% | falling |
| 54 | Kyrgyzstan | 39 1000 t | 2023 | up 387.5% | volatile |
| 54 | Malaysia | 39 1000 t | 2023 | down 2.5% | flat |
| 56 | Zambia | 38 1000 t | 2023 | — | volatile |
| 57 | United Arab Emirates | 32 1000 t | 2023 | up 18.5% | rising |
| 57 | France | 32 1000 t | 2023 | down 23.8% | falling |
| 59 | China, Taiwan Province of | 31 1000 t | 2023 | down 22.5% | falling |
| 60 | Haiti | 30 1000 t | 2023 | down 62.0% | falling |
| 61 | Tajikistan | 29 1000 t | 2023 | up 222.2% | rising |
| 62 | Cote d'Ivoire | 26 1000 t | 2023 | down 25.7% | falling |
| 62 | Côte d'Ivoire | 26 1000 t | 2023 | down 25.7% | falling |
| 64 | Romania | 25 1000 t | 2023 | down 34.2% | falling |
| 64 | Zimbabwe | 25 1000 t | 2023 | up 13.6% | flat |
| 66 | Paraguay | 24 1000 t | 2023 | down 41.5% | flat |
| 67 | Chile | 21 1000 t | 2023 | down 8.7% | rising |
| 67 | Nepal | 21 1000 t | 2023 | up 23.5% | rising |
| 67 | Yemen | 21 1000 t | 2023 | down 30.0% | falling |
| 70 | Portugal | 19 1000 t | 2023 | up 5.6% | flat |
| 70 | Serbia | 19 1000 t | 2023 | down 17.4% | falling |
| 72 | Bosnia and Herzegovina | 18 1000 t | 2023 | up 20.0% | falling |
| 73 | Albania | 17 1000 t | 2023 | up 6.2% | flat |
| 74 | Egypt | 15 1000 t | 2023 | down 61.5% | falling |
| 75 | Canada | 13 1000 t | 2023 | down 51.9% | volatile |
| 75 | Mauritania | 13 1000 t | 2023 | up 8.3% | rising |
| 75 | Russia | 13 1000 t | 2023 | up 30.0% | rising |
| 75 | Russian Federation | 13 1000 t | 2023 | up 30.0% | rising |
| 79 | Saudi Arabia | 12 1000 t | 2023 | up 50.0% | rising |
| 80 | United Kingdom | 11 1000 t | 2023 | up 10.0% | volatile |
| 80 | Greece | 11 1000 t | 2023 | down 60.7% | falling |
| 80 | Moldova | 11 1000 t | 2023 | up 10.0% | flat |
| 80 | Madagascar | 11 1000 t | 2023 | down 76.1% | falling |
| 80 | Republic of Moldova | 11 1000 t | 2023 | up 10.0% | flat |
| 80 | United Kingdom of Great Britain and Northern Ireland | 11 1000 t | 2023 | up 10.0% | volatile |
| 86 | Libya | 10 1000 t | 2023 | up 66.7% | volatile |
| 86 | Panama | 10 1000 t | 2023 | up 25.0% | rising |
| 88 | East Timor | 9 1000 t | 2023 | up 12.5% | rising |
| 88 | Timor-Leste | 9 1000 t | 2023 | up 12.5% | rising |
| 90 | Morocco | 8 1000 t | 2023 | up 60.0% | rising |
| 90 | Netherlands (Kingdom of the) | 8 1000 t | 2023 | up 33.3% | rising |
| 92 | Belgium | 7 1000 t | 2023 | up 16.7% | rising |
| 92 | Bulgaria | 7 1000 t | 2023 | down 41.7% | falling |
| 92 | Hungary | 7 1000 t | 2023 | up 16.7% | rising |
| 92 | North Macedonia | 7 1000 t | 2023 | up 16.7% | rising |
| 96 | Germany | 6 1000 t | 2023 | down 25.0% | rising |
| 96 | Ecuador | 6 1000 t | 2023 | up 100.0% | rising |
| 96 | Jamaica | 6 1000 t | 2023 | down 14.3% | falling |
| 96 | Sri Lanka | 6 1000 t | 2023 | down 71.4% | falling |
| 96 | Tunisia | 6 1000 t | 2023 | up 100.0% | rising |
| 101 | Laos | 5 1000 t | 2023 | up 66.7% | rising |
| 101 | Lebanon | 5 1000 t | 2023 | down 16.7% | rising |
| 101 | Lesotho | 5 1000 t | 2023 | unchanged | falling |
| 101 | New Zealand | 5 1000 t | 2023 | down 28.6% | falling |
| 101 | China, Hong Kong SAR | 5 1000 t | 2023 | unchanged | falling |
| 101 | Lao People's Democratic Republic | 5 1000 t | 2023 | up 66.7% | rising |
| 107 | Azerbaijan | 4 1000 t | 2023 | down 55.6% | falling |
| 107 | Congo | 4 1000 t | 2023 | down 55.6% | flat |
| 107 | Israel | 4 1000 t | 2023 | down 33.3% | rising |
| 107 | Qatar | 4 1000 t | 2023 | — | rising |
| 107 | Syria | 4 1000 t | 2023 | down 20.0% | volatile |
| 107 | Syrian Arab Republic | 4 1000 t | 2023 | down 20.0% | volatile |
| 113 | Armenia | 3 1000 t | 2023 | down 40.0% | falling |
| 113 | Croatia | 3 1000 t | 2023 | up 50.0% | falling |
| 113 | Jordan | 3 1000 t | 2023 | unchanged | rising |
| 113 | Uruguay | 3 1000 t | 2023 | unchanged | falling |
| 117 | Switzerland | 2 1000 t | 2023 | unchanged | rising |
| 117 | Sweden | 2 1000 t | 2023 | unchanged | falling |
| 117 | Cabo Verde | 2 1000 t | 2023 | unchanged | rising |
| 120 | Austria | 1 1000 t | 2023 | unchanged | rising |
| 120 | Bahrain | 1 1000 t | 2023 | — | volatile |
| 120 | Bhutan | 1 1000 t | 2023 | — | volatile |
| 120 | Cyprus | 1 1000 t | 2023 | unchanged | flat |
| 120 | Czechia | 1 1000 t | 2023 | down 50.0% | falling |
| 120 | Djibouti | 1 1000 t | 2023 | unchanged | volatile |
| 120 | Denmark | 1 1000 t | 2023 | unchanged | flat |
| 120 | Guyana | 1 1000 t | 2023 | — | volatile |
| 120 | Ireland | 1 1000 t | 2023 | down 91.7% | volatile |
| 120 | Kuwait | 1 1000 t | 2023 | unchanged | volatile |
| 120 | Montenegro | 1 1000 t | 2023 | unchanged | falling |
| 120 | Mauritius | 1 1000 t | 2023 | unchanged | rising |
| 120 | Niger | 1 1000 t | 2023 | down 94.1% | volatile |
| 120 | Nigeria | 1 1000 t | 2023 | — | volatile |
| 120 | Norway | 1 1000 t | 2023 | unchanged | flat |
| 120 | Oman | 1 1000 t | 2023 | unchanged | rising |
| 120 | Sao Tome and Principe | 1 1000 t | 2023 | unchanged | flat |
| 120 | Suriname | 1 1000 t | 2023 | — | volatile |
| 120 | Slovakia | 1 1000 t | 2023 | unchanged | falling |
| 120 | Slovenia | 1 1000 t | 2023 | down 50.0% | falling |
| 120 | Eswatini | 1 1000 t | 2023 | unchanged | flat |
| 120 | Trinidad and Tobago | 1 1000 t | 2023 | down 50.0% | falling |
| 142 | Belize | 0 1000 t | 2023 | down 100.0% | volatile |
| 142 | Botswana | 0 1000 t | 2023 | down 100.0% | volatile |
| 142 | Comoros | 0 1000 t | 2023 | — | volatile |
| 142 | Guinea | 0 1000 t | 2023 | — | volatile |
| 142 | Guinea-Bissau | 0 1000 t | 2023 | down 100.0% | volatile |
| 142 | Liberia | 0 1000 t | 2023 | down 100.0% | volatile |
| 142 | Malta | 0 1000 t | 2023 | down 100.0% | volatile |
| 142 | Namibia | 0 1000 t | 2023 | — | volatile |
| 142 | Poland | 0 1000 t | 2023 | down 100.0% | volatile |
| 142 | Sierra Leone | 0 1000 t | 2023 | — | volatile |
| 142 | Turkmenistan | 0 1000 t | 2023 | — | volatile |
| 142 | Melanesia | 0 1000 t | 2023 | — | volatile |
| 142 | China, Macao SAR | 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 20,865 1000 t
- Asia 8,848 1000 t
- Net Food Importing Developing Countries (NFIDCs) 6,362 1000 t
- Southern Asia 6,199 1000 t
- Americas 5,801 1000 t
- Africa 5,674 1000 t
- Low Income Food Deficit Countries (LIFDCs) 5,553 1000 t
- Least Developed Countries (LDCs) 4,598 1000 t
- Eastern Africa 4,156 1000 t
- South America 3,355 1000 t
- Land Locked Developing Countries (LLDCs) 2,800 1000 t
- Central America 1,511 1000 t
- Middle Africa 976 1000 t
- South-Eastern Asia 937 1000 t
- Eastern Asia 926 1000 t
- Northern America 730 1000 t
- United States of America 717 1000 t
- Europe 442 1000 t
- Western Asia 418 1000 t
- Western Africa 383 1000 t
- Central Asia 368 1000 t
- European Union (27) 286 1000 t
- Southern Europe 249 1000 t
- Small island developing States (SIDS) 220 1000 t
- Eastern Europe 122 1000 t
- Northern Africa 104 1000 t
- Oceania 100 1000 t
- Western Europe 57 1000 t
- Southern Africa 54 1000 t
- Northern Europe 15 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.