Beans — Import quantity 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
159
Highest
773 1000 t
India
Lowest
0 1000 t
China, Macao SAR
Median
5 1000 t
Years covered
14
2010–2023
Data points
2,976
What the numbers show
Beans — Import quantity is currently reported for 159 countries. The highest value is 773 1000 t in India; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 5 1000 t, and the mean is 36.28 1000 t.
Over the past decade 63 countries rose and 43 fell. The largest increase was in China, mainland (up 2,604.3%), and the largest decrease in Belarus (down 100.0%).
Beans — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 773 1000 t | 2023 | down 12.8% | flat |
| 2 | China | 656 1000 t | 2023 | up 893.9% | volatile |
| 3 | China, mainland | 622 1000 t | 2023 | up 2,604.3% | volatile |
| 4 | Mexico | 286 1000 t | 2023 | up 113.4% | rising |
| 5 | United States | 208 1000 t | 2023 | up 54.1% | rising |
| 6 | Vietnam | 177 1000 t | 2023 | up 276.6% | volatile |
| 6 | Viet Nam | 177 1000 t | 2023 | up 276.6% | volatile |
| 8 | Pakistan | 142 1000 t | 2023 | up 46.4% | rising |
| 9 | Italy | 139 1000 t | 2023 | up 13.0% | rising |
| 10 | Indonesia | 120 1000 t | 2023 | up 21.2% | rising |
| 11 | United Kingdom | 105 1000 t | 2023 | down 5.4% | falling |
| 11 | Caribbean | 105 1000 t | 2023 | up 7.1% | flat |
| 11 | United Kingdom of Great Britain and Northern Ireland | 105 1000 t | 2023 | down 5.4% | falling |
| 14 | Turkey | 102 1000 t | 2023 | up 308.0% | volatile |
| 14 | Türkiye | 102 1000 t | 2023 | up 308.0% | volatile |
| 16 | Venezuela (Bolivarian Republic of) | 98 1000 t | 2023 | up 48.5% | flat |
| 17 | Iraq | 95 1000 t | 2023 | up 691.7% | volatile |
| 18 | United Arab Emirates | 79 1000 t | 2023 | up 216.0% | rising |
| 19 | Canada | 73 1000 t | 2023 | up 4.3% | rising |
| 20 | Brazil | 69 1000 t | 2023 | down 77.3% | volatile |
| 20 | Dominican Republic | 69 1000 t | 2023 | up 46.8% | rising |
| 20 | Thailand | 69 1000 t | 2023 | up 137.9% | rising |
| 23 | Malaysia | 60 1000 t | 2023 | up 42.9% | rising |
| 24 | Kenya | 59 1000 t | 2023 | up 22.9% | volatile |
| 25 | Algeria | 53 1000 t | 2023 | down 15.9% | rising |
| 25 | Spain | 53 1000 t | 2023 | up 12.8% | rising |
| 25 | Philippines | 53 1000 t | 2023 | up 23.3% | rising |
| 28 | Republic of Korea | 52 1000 t | 2023 | up 20.9% | flat |
| 29 | Costa Rica | 50 1000 t | 2023 | up 35.1% | rising |
| 29 | Uganda | 50 1000 t | 2023 | — | volatile |
| 31 | France | 44 1000 t | 2023 | up 7.3% | falling |
| 32 | El Salvador | 41 1000 t | 2023 | up 192.9% | rising |
| 33 | Colombia | 40 1000 t | 2023 | up 81.8% | rising |
| 34 | Netherlands (Kingdom of the) | 39 1000 t | 2023 | up 34.5% | rising |
| 35 | Portugal | 37 1000 t | 2023 | unchanged | flat |
| 36 | Guatemala | 32 1000 t | 2023 | up 190.9% | rising |
| 37 | Afghanistan | 30 1000 t | 2023 | — | volatile |
| 38 | Belgium | 28 1000 t | 2023 | up 33.3% | rising |
| 39 | Cuba | 27 1000 t | 2019 | down 35.7% | falling |
| 39 | China, Taiwan Province of | 27 1000 t | 2023 | down 20.6% | falling |
| 41 | Romania | 26 1000 t | 2023 | up 8.3% | rising |
| 42 | Honduras | 25 1000 t | 2023 | up 108.3% | rising |
| 43 | Iran (Islamic Republic of) | 24 1000 t | 2023 | up 1,100.0% | volatile |
| 44 | Angola | 22 1000 t | 2023 | down 60.0% | falling |
| 45 | Nepal | 20 1000 t | 2023 | up 185.7% | volatile |
| 46 | Yemen | 19 1000 t | 2023 | down 38.7% | falling |
| 46 | South Africa | 19 1000 t | 2023 | down 62.7% | volatile |
| 48 | Bangladesh | 18 1000 t | 2023 | up 1,700.0% | volatile |
| 49 | Bulgaria | 17 1000 t | 2023 | down 22.7% | falling |
| 50 | Chile | 16 1000 t | 2023 | up 14.3% | volatile |
| 50 | Morocco | 16 1000 t | 2023 | up 433.3% | volatile |
| 50 | Russia | 16 1000 t | 2023 | down 27.3% | falling |
| 50 | Rwanda | 16 1000 t | 2023 | up 300.0% | volatile |
| 50 | Russian Federation | 16 1000 t | 2023 | down 27.3% | falling |
| 55 | Saudi Arabia | 15 1000 t | 2023 | up 87.5% | rising |
| 56 | Germany | 14 1000 t | 2023 | down 41.7% | falling |
| 56 | Greece | 14 1000 t | 2023 | up 16.7% | rising |
| 56 | Peru | 14 1000 t | 2023 | up 133.3% | rising |
| 56 | Serbia | 14 1000 t | 2023 | up 7.7% | rising |
| 56 | Democratic Republic of the Congo | 14 1000 t | 2023 | up 600.0% | volatile |
| 56 | Australia and New Zealand | 14 1000 t | 2023 | down 6.7% | rising |
| 62 | Haiti | 13 1000 t | 2023 | up 44.4% | volatile |
| 62 | Hungary | 13 1000 t | 2023 | up 62.5% | rising |
| 64 | Libya | 12 1000 t | 2023 | up 50.0% | volatile |
| 65 | Georgia | 11 1000 t | 2023 | up 120.0% | rising |
| 66 | Uzbekistan | 10 1000 t | 2023 | — | volatile |
| 67 | Australia | 9 1000 t | 2023 | up 28.6% | rising |
| 67 | Guinea | 9 1000 t | 2023 | — | volatile |
| 67 | Jamaica | 9 1000 t | 2023 | up 50.0% | rising |
| 70 | Poland | 8 1000 t | 2023 | down 11.1% | rising |
| 71 | Albania | 7 1000 t | 2023 | up 250.0% | volatile |
| 71 | Croatia | 7 1000 t | 2023 | up 16.7% | rising |
| 71 | China, Hong Kong SAR | 7 1000 t | 2023 | down 12.5% | falling |
| 74 | Bosnia and Herzegovina | 6 1000 t | 2023 | down 14.3% | falling |
| 74 | Eswatini | 6 1000 t | 2023 | up 500.0% | volatile |
| 76 | Israel | 5 1000 t | 2023 | unchanged | rising |
| 76 | New Zealand | 5 1000 t | 2023 | down 37.5% | falling |
| 76 | Panama | 5 1000 t | 2023 | up 66.7% | rising |
| 76 | Senegal | 5 1000 t | 2023 | — | volatile |
| 76 | Tunisia | 5 1000 t | 2023 | up 400.0% | rising |
| 81 | Czechia | 4 1000 t | 2023 | unchanged | flat |
| 81 | Kazakhstan | 4 1000 t | 2023 | down 33.3% | volatile |
| 81 | Lebanon | 4 1000 t | 2023 | down 33.3% | flat |
| 81 | North Macedonia | 4 1000 t | 2023 | up 33.3% | rising |
| 81 | Qatar | 4 1000 t | 2023 | — | falling |
| 86 | Azerbaijan | 3 1000 t | 2023 | up 50.0% | rising |
| 86 | Switzerland | 3 1000 t | 2023 | up 50.0% | rising |
| 86 | Egypt | 3 1000 t | 2023 | down 90.6% | volatile |
| 86 | Ireland | 3 1000 t | 2023 | unchanged | falling |
| 86 | Jordan | 3 1000 t | 2023 | unchanged | rising |
| 86 | Laos | 3 1000 t | 2023 | — | volatile |
| 86 | Nigeria | 3 1000 t | 2023 | — | volatile |
| 86 | Slovakia | 3 1000 t | 2023 | down 25.0% | falling |
| 86 | Sweden | 3 1000 t | 2023 | up 200.0% | rising |
| 86 | Lao People's Democratic Republic | 3 1000 t | 2023 | — | volatile |
| 96 | Austria | 2 1000 t | 2023 | unchanged | flat |
| 96 | Djibouti | 2 1000 t | 2023 | up 100.0% | volatile |
| 96 | Kuwait | 2 1000 t | 2023 | up 100.0% | falling |
| 96 | Lithuania | 2 1000 t | 2023 | up 100.0% | rising |
| 96 | Moldova | 2 1000 t | 2023 | — | volatile |
| 96 | Oman | 2 1000 t | 2023 | up 100.0% | volatile |
| 96 | Slovenia | 2 1000 t | 2023 | down 33.3% | falling |
| 96 | Syria | 2 1000 t | 2023 | down 50.0% | volatile |
| 96 | Tajikistan | 2 1000 t | 2023 | up 100.0% | volatile |
| 96 | Zimbabwe | 2 1000 t | 2023 | down 33.3% | volatile |
| 96 | Cabo Verde | 2 1000 t | 2023 | unchanged | rising |
| 96 | Republic of Moldova | 2 1000 t | 2023 | — | volatile |
| 96 | Syrian Arab Republic | 2 1000 t | 2023 | down 50.0% | volatile |
| 96 | United Republic of Tanzania | 2 1000 t | 2023 | down 50.0% | volatile |
| 110 | Argentina | 1 1000 t | 2023 | unchanged | volatile |
| 110 | Armenia | 1 1000 t | 2023 | — | volatile |
| 110 | Bahrain | 1 1000 t | 2023 | — | rising |
| 110 | Botswana | 1 1000 t | 2023 | down 85.7% | volatile |
| 110 | Cyprus | 1 1000 t | 2023 | unchanged | falling |
| 110 | Denmark | 1 1000 t | 2023 | unchanged | flat |
| 110 | Ethiopia | 1 1000 t | 2023 | unchanged | volatile |
| 110 | Guyana | 1 1000 t | 2023 | — | volatile |
| 110 | Kyrgyzstan | 1 1000 t | 2023 | — | volatile |
| 110 | Lesotho | 1 1000 t | 2023 | down 90.0% | volatile |
| 110 | Latvia | 1 1000 t | 2023 | — | volatile |
| 110 | Montenegro | 1 1000 t | 2023 | unchanged | rising |
| 110 | Mozambique | 1 1000 t | 2023 | unchanged | volatile |
| 110 | Mauritius | 1 1000 t | 2023 | unchanged | rising |
| 110 | Nicaragua | 1 1000 t | 2023 | unchanged | volatile |
| 110 | Norway | 1 1000 t | 2023 | unchanged | rising |
| 110 | Sao Tome and Principe | 1 1000 t | 2023 | unchanged | flat |
| 110 | Suriname | 1 1000 t | 2023 | — | volatile |
| 110 | East Timor | 1 1000 t | 2023 | — | volatile |
| 110 | Trinidad and Tobago | 1 1000 t | 2023 | down 50.0% | rising |
| 110 | Ukraine | 1 1000 t | 2023 | unchanged | volatile |
| 110 | Uruguay | 1 1000 t | 2023 | unchanged | flat |
| 110 | Timor-Leste | 1 1000 t | 2023 | — | volatile |
| 133 | Burkina Faso | 0 1000 t | 2023 | — | volatile |
| 133 | Belarus | 0 1000 t | 2023 | down 100.0% | volatile |
| 133 | Cote d'Ivoire | 0 1000 t | 2023 | down 100.0% | volatile |
| 133 | Cameroon | 0 1000 t | 2023 | — | volatile |
| 133 | Congo | 0 1000 t | 2023 | down 100.0% | flat |
| 133 | Comoros | 0 1000 t | 2023 | — | volatile |
| 133 | Ecuador | 0 1000 t | 2023 | down 100.0% | volatile |
| 133 | Estonia | 0 1000 t | 2023 | — | volatile |
| 133 | Ghana | 0 1000 t | 2023 | down 100.0% | volatile |
| 133 | Guinea-Bissau | 0 1000 t | 2023 | down 100.0% | volatile |
| 133 | Cambodia | 0 1000 t | 2023 | — | volatile |
| 133 | Liberia | 0 1000 t | 2023 | down 100.0% | volatile |
| 133 | Sri Lanka | 0 1000 t | 2023 | down 100.0% | volatile |
| 133 | Madagascar | 0 1000 t | 2023 | — | volatile |
| 133 | Marshall Islands | 0 1000 t | 2023 | — | volatile |
| 133 | Malta | 0 1000 t | 2023 | — | volatile |
| 133 | Myanmar | 0 1000 t | 2021 | — | volatile |
| 133 | Malawi | 0 1000 t | 2023 | down 100.0% | volatile |
| 133 | Namibia | 0 1000 t | 2023 | — | volatile |
| 133 | Niger | 0 1000 t | 2023 | down 100.0% | volatile |
| 133 | Paraguay | 0 1000 t | 2023 | — | volatile |
| 133 | Sierra Leone | 0 1000 t | 2023 | — | volatile |
| 133 | Zambia | 0 1000 t | 2023 | — | volatile |
| 133 | Micronesia | 0 1000 t | 2023 | — | volatile |
| 133 | Melanesia | 0 1000 t | 2023 | — | volatile |
| 133 | Côte d'Ivoire | 0 1000 t | 2023 | down 100.0% | volatile |
| 133 | China, Macao SAR | 0 1000 t | 2023 | 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 4,708 1000 t
- Asia 2,671 1000 t
- Americas 1,066 1000 t
- Southern Asia 1,007 1000 t
- Eastern Asia 816 1000 t
- Net Food Importing Developing Countries (NFIDCs) 762 1000 t
- Europe 620 1000 t
- South-Eastern Asia 483 1000 t
- European Union (27) 460 1000 t
- Central America 440 1000 t
- Western Asia 349 1000 t
- Africa 337 1000 t
- Southern Europe 285 1000 t
- Low Income Food Deficit Countries (LIFDCs) 285 1000 t
- Northern America 281 1000 t
- Least Developed Countries (LDCs) 253 1000 t
- South America 240 1000 t
- United States of America 208 1000 t
- Land Locked Developing Countries (LLDCs) 168 1000 t
- Eastern Africa 150 1000 t
- Western Europe 130 1000 t
- Northern Europe 116 1000 t
- Small island developing States (SIDS) 112 1000 t
- Northern Africa 91 1000 t
- Eastern Europe 88 1000 t
- Middle Africa 38 1000 t
- Western Africa 31 1000 t
- Southern Africa 28 1000 t
- Central Asia 16 1000 t
- Oceania 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.