Beans — Export 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...
What the numbers show
Beans — Export quantity is currently reported for 155 countries. The highest value is 1,335 1000 t in Myanmar; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 0 1000 t, and the mean is 29.62 1000 t.
Over the past decade 36 countries rose and 28 fell. The largest increase was in Türkiye (up 2,866.7%), and the largest decrease in Burkina Faso (down 100.0%).
Beans — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Myanmar | 1,335 1000 t | 2023 | down 2.6% | rising |
| 2 | Argentina | 446 1000 t | 2023 | up 328.8% | rising |
| 3 | Canada | 392 1000 t | 2023 | up 33.3% | rising |
| 4 | Uzbekistan | 272 1000 t | 2023 | up 907.4% | volatile |
| 5 | China | 182 1000 t | 2023 | down 77.3% | volatile |
| 6 | China, mainland | 181 1000 t | 2023 | down 77.4% | volatile |
| 7 | Ethiopia | 165 1000 t | 2023 | up 11.5% | rising |
| 8 | Egypt | 163 1000 t | 2023 | up 132.9% | rising |
| 9 | India | 114 1000 t | 2023 | up 2,750.0% | volatile |
| 10 | United Republic of Tanzania | 101 1000 t | 2023 | up 1,583.3% | volatile |
| 11 | Nicaragua | 95 1000 t | 2023 | up 69.6% | rising |
| 12 | Türkiye | 89 1000 t | 2023 | up 2,866.7% | volatile |
| 13 | Brazil | 85 1000 t | 2023 | up 157.6% | volatile |
| 14 | Uganda | 78 1000 t | 2023 | up 178.6% | volatile |
| 15 | Afghanistan | 72 1000 t | 2023 | up 620.0% | volatile |
| 15 | Venezuela (Bolivarian Republic of) | 72 1000 t | 2023 | — | volatile |
| 17 | Madagascar | 68 1000 t | 2023 | up 151.9% | rising |
| 18 | Australia | 61 1000 t | 2023 | down 3.2% | flat |
| 18 | Australia and New Zealand | 61 1000 t | 2023 | down 3.2% | flat |
| 20 | Thailand | 59 1000 t | 2023 | up 63.9% | rising |
| 21 | Kyrgyzstan | 41 1000 t | 2023 | up 13.9% | flat |
| 22 | Indonesia | 36 1000 t | 2023 | up 111.8% | rising |
| 23 | United Arab Emirates | 33 1000 t | 2023 | up 371.4% | rising |
| 24 | Mexico | 31 1000 t | 2023 | down 6.1% | rising |
| 25 | Mozambique | 30 1000 t | 2023 | up 200.0% | volatile |
| 26 | Peru | 26 1000 t | 2023 | up 44.4% | volatile |
| 27 | Malaysia | 21 1000 t | 2023 | up 950.0% | volatile |
| 28 | Belgium | 20 1000 t | 2023 | up 25.0% | rising |
| 28 | Netherlands (Kingdom of the) | 20 1000 t | 2023 | up 66.7% | rising |
| 30 | Kenya | 17 1000 t | 2023 | down 60.5% | volatile |
| 30 | Niger | 17 1000 t | 2023 | — | volatile |
| 32 | Malawi | 16 1000 t | 2023 | up 220.0% | volatile |
| 32 | Poland | 16 1000 t | 2023 | up 128.6% | rising |
| 34 | Bolivia (Plurinational State of) | 14 1000 t | 2023 | down 63.2% | falling |
| 35 | Portugal | 12 1000 t | 2023 | down 7.7% | flat |
| 36 | Turkmenistan | 10 1000 t | 2023 | — | volatile |
| 36 | Zambia | 10 1000 t | 2023 | up 900.0% | volatile |
| 36 | United Kingdom of Great Britain and Northern Ireland | 10 1000 t | 2023 | down 68.8% | falling |
| 39 | Bulgaria | 9 1000 t | 2023 | unchanged | rising |
| 39 | France | 9 1000 t | 2023 | up 125.0% | rising |
| 39 | Côte d'Ivoire | 9 1000 t | 2023 | — | volatile |
| 42 | Ukraine | 8 1000 t | 2023 | up 700.0% | volatile |
| 42 | Democratic People's Republic of Korea | 8 1000 t | 2018 | — | volatile |
| 44 | Spain | 7 1000 t | 2023 | up 75.0% | rising |
| 45 | Ecuador | 6 1000 t | 2023 | down 33.3% | falling |
| 45 | Viet Nam | 6 1000 t | 2023 | up 500.0% | volatile |
| 47 | Italy | 5 1000 t | 2023 | down 28.6% | falling |
| 48 | Belize | 3 1000 t | 2023 | unchanged | rising |
| 48 | Botswana | 3 1000 t | 2023 | — | volatile |
| 48 | Germany | 3 1000 t | 2023 | down 62.5% | falling |
| 48 | Dominican Republic | 3 1000 t | 2023 | up 200.0% | volatile |
| 48 | Caribbean | 3 1000 t | 2023 | up 200.0% | volatile |
| 53 | Chile | 2 1000 t | 2023 | up 100.0% | falling |
| 53 | Colombia | 2 1000 t | 2023 | — | volatile |
| 53 | Costa Rica | 2 1000 t | 2023 | up 100.0% | volatile |
| 53 | Czechia | 2 1000 t | 2023 | up 100.0% | rising |
| 53 | Greece | 2 1000 t | 2023 | up 100.0% | volatile |
| 53 | Honduras | 2 1000 t | 2023 | down 66.7% | volatile |
| 53 | Hungary | 2 1000 t | 2023 | unchanged | rising |
| 53 | Nigeria | 2 1000 t | 2023 | up 100.0% | rising |
| 53 | Paraguay | 2 1000 t | 2023 | — | volatile |
| 53 | Saudi Arabia | 2 1000 t | 2023 | — | volatile |
| 53 | El Salvador | 2 1000 t | 2023 | down 50.0% | volatile |
| 53 | Slovakia | 2 1000 t | 2023 | unchanged | falling |
| 53 | Iran (Islamic Republic of) | 2 1000 t | 2023 | — | volatile |
| 66 | Cameroon | 1 1000 t | 2023 | down 75.0% | volatile |
| 66 | Djibouti | 1 1000 t | 2023 | down 50.0% | volatile |
| 66 | Denmark | 1 1000 t | 2023 | — | volatile |
| 66 | Guatemala | 1 1000 t | 2023 | down 75.0% | volatile |
| 66 | Croatia | 1 1000 t | 2023 | — | volatile |
| 66 | Lithuania | 1 1000 t | 2023 | down 66.7% | volatile |
| 66 | Nepal | 1 1000 t | 2023 | — | volatile |
| 66 | Oman | 1 1000 t | 2023 | — | volatile |
| 66 | Slovenia | 1 1000 t | 2023 | unchanged | volatile |
| 66 | Sweden | 1 1000 t | 2023 | — | volatile |
| 66 | Republic of Moldova | 1 1000 t | 2023 | — | volatile |
| 66 | Lao People's Democratic Republic | 1 1000 t | 2023 | — | volatile |
| 78 | Angola | 0 1000 t | 2023 | — | volatile |
| 78 | Albania | 0 1000 t | 2023 | — | flat |
| 78 | Armenia | 0 1000 t | 2023 | — | flat |
| 78 | Antigua and Barbuda | 0 1000 t | 2020 | — | flat |
| 78 | Austria | 0 1000 t | 2023 | — | flat |
| 78 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 78 | Burkina Faso | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | Bangladesh | 0 1000 t | 2023 | — | volatile |
| 78 | Bahrain | 0 1000 t | 2023 | — | flat |
| 78 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 78 | Belarus | 0 1000 t | 2023 | — | flat |
| 78 | Barbados | 0 1000 t | 2015 | — | flat |
| 78 | Switzerland | 0 1000 t | 2023 | — | flat |
| 78 | Cuba | 0 1000 t | 2014 | — | flat |
| 78 | Cyprus | 0 1000 t | 2023 | — | flat |
| 78 | Algeria | 0 1000 t | 2023 | — | flat |
| 78 | Estonia | 0 1000 t | 2023 | — | volatile |
| 78 | Finland | 0 1000 t | 2023 | — | flat |
| 78 | Fiji | 0 1000 t | 2023 | — | flat |
| 78 | Gabon | 0 1000 t | 2022 | — | flat |
| 78 | Georgia | 0 1000 t | 2023 | — | flat |
| 78 | Ghana | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | Guinea | 0 1000 t | 2023 | — | flat |
| 78 | Guyana | 0 1000 t | 2023 | — | flat |
| 78 | Haiti | 0 1000 t | 2023 | — | flat |
| 78 | Ireland | 0 1000 t | 2023 | — | flat |
| 78 | Iraq | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | Iceland | 0 1000 t | 2023 | — | flat |
| 78 | Israel | 0 1000 t | 2023 | — | flat |
| 78 | Jamaica | 0 1000 t | 2022 | — | flat |
| 78 | Jordan | 0 1000 t | 2022 | — | flat |
| 78 | Kazakhstan | 0 1000 t | 2023 | — | volatile |
| 78 | Cambodia | 0 1000 t | 2023 | — | volatile |
| 78 | Saint Kitts and Nevis | 0 1000 t | 2022 | — | flat |
| 78 | Kuwait | 0 1000 t | 2023 | — | flat |
| 78 | Lebanon | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | Liberia | 0 1000 t | 2023 | — | flat |
| 78 | Libya | 0 1000 t | 2023 | — | flat |
| 78 | Saint Lucia | 0 1000 t | 2021 | — | flat |
| 78 | Sri Lanka | 0 1000 t | 2023 | — | volatile |
| 78 | Lesotho | 0 1000 t | 2023 | — | flat |
| 78 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 78 | Latvia | 0 1000 t | 2023 | — | volatile |
| 78 | Morocco | 0 1000 t | 2023 | — | volatile |
| 78 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 78 | Malta | 0 1000 t | 2018 | — | flat |
| 78 | Montenegro | 0 1000 t | 2023 | — | flat |
| 78 | Mauritius | 0 1000 t | 2023 | — | flat |
| 78 | Namibia | 0 1000 t | 2023 | — | flat |
| 78 | Norway | 0 1000 t | 2023 | — | flat |
| 78 | New Zealand | 0 1000 t | 2023 | — | flat |
| 78 | Pakistan | 0 1000 t | 2018 | — | volatile |
| 78 | Panama | 0 1000 t | 2020 | — | volatile |
| 78 | Philippines | 0 1000 t | 2023 | — | flat |
| 78 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 78 | Romania | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | Rwanda | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | Senegal | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | Serbia | 0 1000 t | 2023 | — | volatile |
| 78 | Suriname | 0 1000 t | 2015 | — | flat |
| 78 | Eswatini | 0 1000 t | 2023 | — | flat |
| 78 | Tajikistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 78 | Tunisia | 0 1000 t | 2023 | — | volatile |
| 78 | Uruguay | 0 1000 t | 2023 | — | flat |
| 78 | Saint Vincent and the Grenadines | 0 1000 t | 2022 | — | flat |
| 78 | Yemen | 0 1000 t | 2023 | — | volatile |
| 78 | Zimbabwe | 0 1000 t | 2023 | — | volatile |
| 78 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 78 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 78 | Melanesia | 0 1000 t | 2023 | — | flat |
| 78 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 78 | China, Hong Kong SAR | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | Republic of Korea | 0 1000 t | 2023 | — | flat |
| 78 | Russian Federation | 0 1000 t | 2023 | — | volatile |
| 78 | Syrian Arab Republic | 0 1000 t | 2023 | — | volatile |
| 78 | China, Taiwan Province of | 0 1000 t | 2023 | — | volatile |
| 78 | China, Macao SAR | 0 1000 t | 2017 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 4,914 1000 t
- Asia 2,277 1000 t
- Net Food Importing Developing Countries (NFIDCs) 2,216 1000 t
- Least Developed Countries (LDCs) 1,919 1000 t
- Americas 1,719 1000 t
- South-eastern Asia 1,459 1000 t
- Low Income Food Deficit Countries (LIFDCs) 999 1000 t
- Northern America 926 1000 t
- Africa 724 1000 t
- Land Locked Developing Countries (LLDCs) 703 1000 t
- South America 655 1000 t
- United States of America 534 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.