Bananas — Production 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
Bananas — Production is currently reported for 133 countries. The highest value is 36,614 1000 t in India; the lowest is 0 1000 t in Netherlands (Kingdom of the).
The median across all reporting countries is 47 1000 t, and the mean is 1,069 1000 t.
Over the past decade 65 countries rose and 25 fell. The largest increase was in Eswatini (up 366.7%), and the largest decrease in Uganda (down 100.0%).
Bananas — Production: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 36,614 1000 t | 2023 | up 32.8% | rising |
| 2 | China | 12,062 1000 t | 2023 | down 2.5% | rising |
| 3 | China, mainland | 11,703 1000 t | 2023 | down 3.1% | rising |
| 4 | Indonesia | 9,335 1000 t | 2023 | up 48.7% | rising |
| 5 | Ecuador | 7,198 1000 t | 2023 | up 20.0% | falling |
| 6 | Brazil | 6,826 1000 t | 2023 | down 1.0% | flat |
| 7 | Philippines | 5,871 1000 t | 2023 | down 32.1% | falling |
| 8 | Angola | 4,894 1000 t | 2023 | up 58.1% | rising |
| 9 | United Republic of Tanzania | 3,674 1000 t | 2023 | up 37.1% | rising |
| 10 | Guatemala | 3,050 1000 t | 2023 | down 7.8% | rising |
| 11 | Kenya | 2,907 1000 t | 2023 | up 111.4% | rising |
| 12 | Mexico | 2,642 1000 t | 2023 | up 24.2% | rising |
| 13 | Viet Nam | 2,639 1000 t | 2023 | up 39.4% | rising |
| 14 | Colombia | 2,554 1000 t | 2023 | down 32.3% | falling |
| 15 | Costa Rica | 2,533 1000 t | 2023 | up 4.8% | rising |
| 16 | Peru | 2,416 1000 t | 2023 | up 14.2% | rising |
| 17 | Caribbean | 1,772 1000 t | 2023 | up 8.1% | rising |
| 18 | Dominican Republic | 1,300 1000 t | 2023 | up 20.4% | rising |
| 19 | Thailand | 1,297 1000 t | 2023 | up 25.8% | flat |
| 20 | Melanesia | 1,283 1000 t | 2023 | up 1.1% | rising |
| 21 | Rwanda | 1,259 1000 t | 2023 | down 55.8% | falling |
| 22 | Papua New Guinea | 1,250 1000 t | 2023 | up 0.2% | rising |
| 23 | Egypt | 1,194 1000 t | 2023 | up 3.1% | rising |
| 24 | Malawi | 1,077 1000 t | 2023 | up 178.3% | rising |
| 25 | Ethiopia | 938 1000 t | 2023 | up 175.9% | volatile |
| 26 | Türkiye | 930 1000 t | 2023 | up 332.6% | volatile |
| 27 | Cameroon | 865 1000 t | 2023 | down 45.9% | falling |
| 28 | Lao People's Democratic Republic | 861 1000 t | 2023 | up 105.0% | rising |
| 29 | Bangladesh | 840 1000 t | 2023 | up 8.4% | rising |
| 30 | Democratic Republic of the Congo | 810 1000 t | 2023 | up 91.0% | rising |
| 31 | Honduras | 564 1000 t | 2023 | down 22.8% | falling |
| 32 | Venezuela (Bolivarian Republic of) | 547 1000 t | 2023 | up 27.8% | rising |
| 33 | Côte d'Ivoire | 514 1000 t | 2023 | up 49.9% | rising |
| 34 | Spain | 467 1000 t | 2023 | up 29.4% | rising |
| 35 | Nepal | 405 1000 t | 2023 | up 122.5% | rising |
| 36 | Madagascar | 402 1000 t | 2023 | up 13.2% | rising |
| 37 | Cambodia | 378 1000 t | 2023 | up 173.9% | rising |
| 38 | Australia | 374 1000 t | 2023 | up 13.3% | rising |
| 38 | Australia and New Zealand | 374 1000 t | 2023 | up 13.3% | rising |
| 40 | Panama | 373 1000 t | 2023 | up 18.8% | rising |
| 41 | Mozambique | 371 1000 t | 2023 | down 34.9% | rising |
| 42 | China, Taiwan Province of | 359 1000 t | 2023 | up 23.4% | rising |
| 43 | Zimbabwe | 311 1000 t | 2023 | up 211.0% | rising |
| 44 | Morocco | 309 1000 t | 2023 | up 2.0% | rising |
| 45 | Bolivia (Plurinational State of) | 306 1000 t | 2023 | up 86.6% | rising |
| 46 | Pakistan | 292 1000 t | 2023 | up 151.7% | rising |
| 47 | Cuba | 283 1000 t | 2019 | up 13.7% | rising |
| 48 | Malaysia | 278 1000 t | 2023 | down 3.8% | flat |
| 49 | Guinea | 234 1000 t | 2023 | up 10.4% | rising |
| 50 | Haiti | 223 1000 t | 2023 | down 11.2% | falling |
| 51 | France | 212 1000 t | 2023 | — | rising |
| 52 | Israel | 192 1000 t | 2023 | up 50.0% | rising |
| 53 | Argentina | 177 1000 t | 2023 | up 1.1% | flat |
| 54 | Paraguay | 174 1000 t | 2023 | up 180.6% | rising |
| 55 | Liberia | 144 1000 t | 2023 | up 9.9% | rising |
| 56 | Iran (Islamic Republic of) | 135 1000 t | 2023 | up 16.4% | rising |
| 57 | Yemen | 131 1000 t | 2023 | up 4.0% | flat |
| 58 | Ghana | 130 1000 t | 2023 | up 54.8% | rising |
| 59 | Nicaragua | 91 1000 t | 2023 | up 145.9% | rising |
| 60 | Congo | 89 1000 t | 2023 | up 7.2% | rising |
| 61 | Lebanon | 82 1000 t | 2023 | up 36.7% | rising |
| 62 | Comoros | 80 1000 t | 2023 | up 66.7% | rising |
| 63 | Jamaica | 72 1000 t | 2023 | up 94.6% | rising |
| 64 | Belize | 67 1000 t | 2023 | down 33.7% | falling |
| 65 | Jordan | 63 1000 t | 2023 | up 50.0% | rising |
| 66 | Saint Vincent and the Grenadines | 59 1000 t | 2023 | up 1.7% | flat |
| 67 | Burkina Faso | 47 1000 t | 2023 | — | rising |
| 68 | Senegal | 36 1000 t | 2023 | up 2.9% | flat |
| 69 | Portugal | 31 1000 t | 2023 | up 47.6% | rising |
| 70 | Eswatini | 28 1000 t | 2023 | up 366.7% | volatile |
| 71 | Polynesia | 24 1000 t | 2023 | unchanged | flat |
| 72 | Samoa | 23 1000 t | 2023 | down 4.2% | falling |
| 73 | Guyana | 19 1000 t | 2023 | up 280.0% | rising |
| 74 | Gabon | 18 1000 t | 2023 | up 5.9% | rising |
| 74 | Oman | 18 1000 t | 2023 | down 10.0% | volatile |
| 74 | Vanuatu | 18 1000 t | 2023 | up 12.5% | rising |
| 77 | El Salvador | 13 1000 t | 2023 | down 18.8% | volatile |
| 78 | Fiji | 12 1000 t | 2023 | up 140.0% | rising |
| 79 | Bahamas | 11 1000 t | 2023 | up 10.0% | rising |
| 79 | Mauritius | 11 1000 t | 2023 | up 10.0% | falling |
| 81 | Micronesia | 10 1000 t | 2023 | up 42.9% | rising |
| 82 | Guinea-Bissau | 9 1000 t | 2023 | up 12.5% | rising |
| 83 | Kiribati | 8 1000 t | 2023 | up 14.3% | rising |
| 84 | Cyprus | 6 1000 t | 2023 | unchanged | flat |
| 85 | Sao Tome and Principe | 5 1000 t | 2023 | down 87.8% | volatile |
| 86 | Saint Lucia | 4 1000 t | 2023 | down 77.8% | falling |
| 86 | Cabo Verde | 4 1000 t | 2023 | down 60.0% | falling |
| 88 | Suriname | 3 1000 t | 2023 | down 96.5% | volatile |
| 88 | Trinidad and Tobago | 3 1000 t | 2023 | down 25.0% | falling |
| 90 | Bhutan | 2 1000 t | 2023 | — | falling |
| 90 | Grenada | 2 1000 t | 2023 | down 71.4% | falling |
| 90 | New Caledonia | 2 1000 t | 2023 | up 100.0% | rising |
| 90 | Seychelles | 2 1000 t | 2023 | unchanged | flat |
| 90 | Micronesia (Federated States of) | 2 1000 t | 2023 | — | flat |
| 95 | Barbados | 1 1000 t | 2023 | unchanged | falling |
| 95 | Greece | 1 1000 t | 2023 | down 66.7% | falling |
| 95 | Maldives | 1 1000 t | 2023 | — | volatile |
| 95 | Tonga | 1 1000 t | 2023 | — | flat |
| 95 | Zambia | 1 1000 t | 2023 | unchanged | flat |
| 95 | Syrian Arab Republic | 1 1000 t | 2023 | — | volatile |
| 101 | United Arab Emirates | 0 1000 t | 2023 | — | volatile |
| 101 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 101 | Austria | 0 1000 t | 2023 | — | flat |
| 101 | Belgium | 0 1000 t | 2023 | — | flat |
| 101 | Bulgaria | 0 1000 t | 2023 | — | flat |
| 101 | Czechia | 0 1000 t | 2023 | — | flat |
| 101 | Germany | 0 1000 t | 2023 | — | flat |
| 101 | Denmark | 0 1000 t | 2023 | — | flat |
| 101 | Algeria | 0 1000 t | 2023 | — | flat |
| 101 | Estonia | 0 1000 t | 2023 | — | flat |
| 101 | Finland | 0 1000 t | 2023 | — | flat |
| 101 | Croatia | 0 1000 t | 2023 | — | flat |
| 101 | Hungary | 0 1000 t | 2023 | — | flat |
| 101 | Ireland | 0 1000 t | 2023 | — | flat |
| 101 | Italy | 0 1000 t | 2023 | — | flat |
| 101 | Kuwait | 0 1000 t | 2023 | — | flat |
| 101 | Libya | 0 1000 t | 2023 | — | flat |
| 101 | Lithuania | 0 1000 t | 2023 | — | flat |
| 101 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 101 | Latvia | 0 1000 t | 2023 | — | flat |
| 101 | Malta | 0 1000 t | 2023 | — | flat |
| 101 | Poland | 0 1000 t | 2023 | — | flat |
| 101 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 101 | Romania | 0 1000 t | 2023 | — | flat |
| 101 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 101 | Slovakia | 0 1000 t | 2023 | — | flat |
| 101 | Slovenia | 0 1000 t | 2023 | — | flat |
| 101 | Sweden | 0 1000 t | 2023 | — | flat |
| 101 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 101 | Uganda | 0 1000 t | 2023 | down 100.0% | volatile |
| 101 | Timor-Leste | 0 1000 t | 2023 | down 100.0% | volatile |
| 101 | Republic of Korea | 0 1000 t | 2023 | — | flat |
| 101 | Netherlands (Kingdom of the) | 0 1000 t | 2023 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 137,047 1000 t
- Asia 72,475 1000 t
- Southern Asia 38,289 1000 t
- Americas 31,328 1000 t
- Africa 30,841 1000 t
- Net Food Importing Developing Countries (NFIDCs) 30,009 1000 t
- South-eastern Asia 20,661 1000 t
- South America 20,219 1000 t
- Least Developed Countries (LDCs) 19,567 1000 t
- Low Income Food Deficit Countries (LIFDCs) 16,849 1000 t
- Eastern Africa 12,157 1000 t
- Eastern Asia 12,062 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.