Beans — Seed 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 — Seed is currently reported for 105 countries. The highest value is 474 1000 t in India; the lowest is 0 1000 t in Netherlands (Kingdom of the).
The median across all reporting countries is 2 1000 t, and the mean is 15.76 1000 t.
Over the past decade 32 countries rose and 21 fell. The largest increase was in Lithuania (up 1,400.0%), and the largest decrease in Bosnia and Herzegovina (down 100.0%).
Beans — Seed: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 474 1000 t | 2023 | up 61.2% | rising |
| 2 | Myanmar | 143 1000 t | 2023 | down 36.2% | falling |
| 3 | Brazil | 122 1000 t | 2023 | up 0.8% | falling |
| 4 | Mozambique | 105 1000 t | 2023 | up 94.4% | volatile |
| 5 | China | 84 1000 t | 2023 | up 29.2% | rising |
| 5 | China, mainland | 84 1000 t | 2023 | up 29.2% | rising |
| 5 | United Republic of Tanzania | 84 1000 t | 2023 | up 33.3% | rising |
| 8 | Argentina | 47 1000 t | 2023 | up 683.3% | rising |
| 8 | Kenya | 47 1000 t | 2023 | up 193.8% | volatile |
| 10 | Angola | 41 1000 t | 2023 | up 5.1% | falling |
| 11 | Mexico | 40 1000 t | 2023 | down 57.4% | falling |
| 12 | Uganda | 32 1000 t | 2023 | down 8.6% | rising |
| 13 | Democratic People's Republic of Korea | 27 1000 t | 2018 | down 10.0% | falling |
| 14 | Malawi | 26 1000 t | 2023 | up 18.2% | rising |
| 15 | Rwanda | 22 1000 t | 2023 | up 10.0% | rising |
| 16 | Caribbean | 21 1000 t | 2023 | up 50.0% | rising |
| 17 | Haiti | 17 1000 t | 2023 | up 70.0% | rising |
| 18 | Lithuania | 15 1000 t | 2018 | up 1,400.0% | volatile |
| 18 | Democratic Republic of the Congo | 15 1000 t | 2023 | up 15.4% | rising |
| 20 | Poland | 12 1000 t | 2018 | up 50.0% | rising |
| 20 | Thailand | 12 1000 t | 2023 | down 14.3% | falling |
| 22 | Belarus | 9 1000 t | 2023 | unchanged | rising |
| 22 | Cameroon | 9 1000 t | 2023 | up 50.0% | rising |
| 22 | Ethiopia | 9 1000 t | 2023 | down 18.2% | falling |
| 22 | Guatemala | 9 1000 t | 2023 | down 47.1% | falling |
| 22 | Latvia | 9 1000 t | 2018 | — | volatile |
| 22 | Türkiye | 9 1000 t | 2023 | up 125.0% | rising |
| 28 | Pakistan | 8 1000 t | 2023 | up 60.0% | rising |
| 29 | Honduras | 7 1000 t | 2023 | up 40.0% | rising |
| 30 | Canada | 6 1000 t | 2023 | up 50.0% | falling |
| 30 | Spain | 6 1000 t | 2018 | up 50.0% | rising |
| 30 | France | 6 1000 t | 2018 | up 50.0% | rising |
| 30 | El Salvador | 6 1000 t | 2023 | up 50.0% | falling |
| 30 | Zimbabwe | 6 1000 t | 2023 | up 20.0% | rising |
| 35 | Nicaragua | 5 1000 t | 2023 | unchanged | falling |
| 35 | Russian Federation | 5 1000 t | 2023 | up 66.7% | rising |
| 37 | Australia | 4 1000 t | 2023 | — | volatile |
| 37 | Cuba | 4 1000 t | 2019 | up 100.0% | rising |
| 37 | Egypt | 4 1000 t | 2023 | up 300.0% | volatile |
| 37 | Indonesia | 4 1000 t | 2023 | down 50.0% | falling |
| 37 | Italy | 4 1000 t | 2018 | unchanged | flat |
| 37 | Peru | 4 1000 t | 2023 | down 20.0% | falling |
| 37 | Viet Nam | 4 1000 t | 2023 | unchanged | falling |
| 37 | Australia and New Zealand | 4 1000 t | 2023 | — | volatile |
| 45 | Albania | 3 1000 t | 2023 | unchanged | falling |
| 45 | Bangladesh | 3 1000 t | 2023 | up 50.0% | rising |
| 45 | Cambodia | 3 1000 t | 2023 | up 50.0% | rising |
| 45 | Madagascar | 3 1000 t | 2023 | unchanged | falling |
| 45 | Bolivia (Plurinational State of) | 3 1000 t | 2023 | unchanged | rising |
| 45 | Iran (Islamic Republic of) | 3 1000 t | 2023 | down 40.0% | falling |
| 45 | Venezuela (Bolivarian Republic of) | 3 1000 t | 2023 | up 200.0% | volatile |
| 52 | Colombia | 2 1000 t | 2023 | down 50.0% | falling |
| 52 | Dominican Republic | 2 1000 t | 2023 | unchanged | rising |
| 52 | Philippines | 2 1000 t | 2023 | up 100.0% | rising |
| 52 | Romania | 2 1000 t | 2018 | down 33.3% | falling |
| 52 | Côte d'Ivoire | 2 1000 t | 2023 | unchanged | rising |
| 57 | Azerbaijan | 1 1000 t | 2023 | down 50.0% | falling |
| 57 | Chile | 1 1000 t | 2023 | down 50.0% | falling |
| 57 | Ecuador | 1 1000 t | 2023 | unchanged | falling |
| 57 | Greece | 1 1000 t | 2018 | down 50.0% | falling |
| 57 | Ireland | 1 1000 t | 2018 | — | volatile |
| 57 | Lesotho | 1 1000 t | 2023 | — | volatile |
| 57 | North Macedonia | 1 1000 t | 2023 | down 50.0% | falling |
| 57 | Mauritania | 1 1000 t | 2023 | unchanged | volatile |
| 57 | Nepal | 1 1000 t | 2023 | unchanged | flat |
| 57 | Paraguay | 1 1000 t | 2023 | down 83.3% | falling |
| 57 | Serbia | 1 1000 t | 2023 | unchanged | falling |
| 57 | Republic of Korea | 1 1000 t | 2023 | unchanged | volatile |
| 57 | Republic of Moldova | 1 1000 t | 2023 | unchanged | rising |
| 70 | Armenia | 0 1000 t | 2023 | — | flat |
| 70 | Belgium | 0 1000 t | 2018 | — | flat |
| 70 | Bulgaria | 0 1000 t | 2018 | — | flat |
| 70 | Bosnia and Herzegovina | 0 1000 t | 2023 | down 100.0% | volatile |
| 70 | Belize | 0 1000 t | 2023 | down 100.0% | volatile |
| 70 | Barbados | 0 1000 t | 2023 | — | flat |
| 70 | Bhutan | 0 1000 t | 2023 | — | flat |
| 70 | Switzerland | 0 1000 t | 2014 | — | flat |
| 70 | Congo | 0 1000 t | 2023 | — | flat |
| 70 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 70 | Czechia | 0 1000 t | 2014 | — | flat |
| 70 | Algeria | 0 1000 t | 2023 | — | flat |
| 70 | Grenada | 0 1000 t | 2023 | — | flat |
| 70 | Croatia | 0 1000 t | 2018 | — | flat |
| 70 | Hungary | 0 1000 t | 2018 | — | flat |
| 70 | Iraq | 0 1000 t | 2023 | — | flat |
| 70 | Jamaica | 0 1000 t | 2023 | — | flat |
| 70 | Kazakhstan | 0 1000 t | 2023 | — | volatile |
| 70 | Lebanon | 0 1000 t | 2023 | — | flat |
| 70 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 70 | Malta | 0 1000 t | 2018 | — | flat |
| 70 | Niger | 0 1000 t | 2023 | — | flat |
| 70 | Panama | 0 1000 t | 2023 | — | volatile |
| 70 | Portugal | 0 1000 t | 2018 | — | flat |
| 70 | Slovakia | 0 1000 t | 2018 | — | flat |
| 70 | Slovenia | 0 1000 t | 2018 | — | flat |
| 70 | Eswatini | 0 1000 t | 2023 | — | flat |
| 70 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 70 | Tunisia | 0 1000 t | 2023 | — | flat |
| 70 | Ukraine | 0 1000 t | 2023 | down 100.0% | rising |
| 70 | Uruguay | 0 1000 t | 2023 | — | flat |
| 70 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 70 | Syrian Arab Republic | 0 1000 t | 2023 | — | flat |
| 70 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | flat |
| 70 | China, Taiwan Province of | 0 1000 t | 2023 | down 100.0% | volatile |
| 70 | Netherlands (Kingdom of the) | 0 1000 t | 2018 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 1,589 1000 t
- Asia 781 1000 t
- Net Food Importing Developing Countries (NFIDCs) 657 1000 t
- Least Developed Countries (LDCs) 572 1000 t
- Southern Asia 489 1000 t
- Africa 479 1000 t
- Low Income Food Deficit Countries (LIFDCs) 477 1000 t
- Eastern Africa 386 1000 t
- Americas 305 1000 t
- South America 183 1000 t
- South-eastern Asia 167 1000 t
- Land Locked Developing Countries (LLDCs) 156 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.