Bananas — 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
Bananas — Export quantity is currently reported for 143 countries. The highest value is 6,488 1000 t in Ecuador; the lowest is 0 1000 t in United Kingdom of Great Britain and Northern Ireland.
The median across all reporting countries is 0 1000 t, and the mean is 163.36 1000 t.
Over the past decade 40 countries rose and 26 fell. The largest increase was in Viet Nam (up 3,105.9%), and the largest decrease in Bulgaria (down 100.0%).
Bananas — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Ecuador | 6,488 1000 t | 2023 | up 21.2% | rising |
| 2 | Guatemala | 2,799 1000 t | 2023 | up 43.5% | rising |
| 3 | Costa Rica | 2,244 1000 t | 2023 | up 16.4% | rising |
| 4 | Philippines | 2,032 1000 t | 2023 | down 37.8% | rising |
| 5 | Colombia | 1,695 1000 t | 2023 | up 9.4% | rising |
| 6 | Netherlands (Kingdom of the) | 1,013 1000 t | 2023 | up 221.6% | volatile |
| 7 | Belgium | 810 1000 t | 2023 | down 34.0% | falling |
| 8 | Viet Nam | 545 1000 t | 2023 | up 3,105.9% | volatile |
| 9 | Honduras | 538 1000 t | 2023 | down 20.3% | falling |
| 10 | India | 499 1000 t | 2023 | up 1,248.7% | volatile |
| 11 | Mexico | 407 1000 t | 2023 | up 18.3% | rising |
| 12 | Côte d'Ivoire | 394 1000 t | 2023 | up 86.7% | rising |
| 13 | Germany | 348 1000 t | 2023 | up 14.1% | falling |
| 14 | Panama | 313 1000 t | 2023 | up 24.2% | rising |
| 15 | Caribbean | 277 1000 t | 2023 | up 21.5% | falling |
| 16 | Dominican Republic | 274 1000 t | 2023 | up 30.5% | flat |
| 17 | Cambodia | 264 1000 t | 2023 | — | volatile |
| 18 | France | 233 1000 t | 2023 | down 17.7% | falling |
| 19 | Cameroon | 208 1000 t | 2023 | down 18.8% | falling |
| 20 | Peru | 142 1000 t | 2023 | up 14.5% | rising |
| 21 | Pakistan | 140 1000 t | 2023 | up 62.8% | rising |
| 22 | Mozambique | 135 1000 t | 2023 | up 62.7% | rising |
| 23 | Bolivia (Plurinational State of) | 125 1000 t | 2023 | up 23.8% | rising |
| 24 | Nicaragua | 122 1000 t | 2023 | up 183.7% | volatile |
| 25 | Spain | 121 1000 t | 2023 | up 65.8% | rising |
| 26 | Ghana | 115 1000 t | 2023 | up 2,775.0% | volatile |
| 27 | Italy | 111 1000 t | 2023 | up 98.2% | rising |
| 28 | Paraguay | 107 1000 t | 2023 | up 1,237.5% | volatile |
| 29 | Russian Federation | 71 1000 t | 2023 | up 44.9% | rising |
| 30 | Lao People's Democratic Republic | 70 1000 t | 2023 | up 366.7% | volatile |
| 31 | Greece | 67 1000 t | 2023 | up 109.4% | rising |
| 32 | Slovenia | 66 1000 t | 2023 | up 288.2% | rising |
| 33 | Belize | 65 1000 t | 2023 | down 34.3% | flat |
| 34 | Brazil | 56 1000 t | 2023 | down 42.9% | falling |
| 35 | Czechia | 47 1000 t | 2023 | up 30.6% | rising |
| 36 | Poland | 39 1000 t | 2023 | up 200.0% | volatile |
| 37 | China | 31 1000 t | 2023 | down 11.4% | falling |
| 38 | Lebanon | 29 1000 t | 2023 | down 40.8% | falling |
| 38 | Eswatini | 29 1000 t | 2023 | up 2,800.0% | volatile |
| 40 | Portugal | 26 1000 t | 2023 | up 550.0% | volatile |
| 40 | China, mainland | 26 1000 t | 2023 | up 136.4% | rising |
| 42 | Malaysia | 24 1000 t | 2023 | up 26.3% | rising |
| 43 | Latvia | 22 1000 t | 2023 | up 120.0% | rising |
| 44 | Sweden | 21 1000 t | 2023 | unchanged | falling |
| 45 | Slovakia | 15 1000 t | 2023 | up 87.5% | rising |
| 46 | Ethiopia | 13 1000 t | 2023 | up 160.0% | volatile |
| 46 | Croatia | 13 1000 t | 2023 | — | volatile |
| 46 | Hungary | 13 1000 t | 2023 | up 44.4% | volatile |
| 49 | Angola | 12 1000 t | 2023 | — | volatile |
| 49 | Denmark | 12 1000 t | 2023 | up 71.4% | falling |
| 51 | Thailand | 9 1000 t | 2023 | down 62.5% | volatile |
| 52 | Indonesia | 8 1000 t | 2023 | — | volatile |
| 52 | Ireland | 8 1000 t | 2023 | up 100.0% | volatile |
| 52 | Lithuania | 8 1000 t | 2023 | up 14.3% | falling |
| 52 | United Republic of Tanzania | 8 1000 t | 2023 | — | volatile |
| 56 | Austria | 6 1000 t | 2023 | down 72.7% | falling |
| 56 | Zimbabwe | 6 1000 t | 2023 | — | volatile |
| 58 | United Arab Emirates | 5 1000 t | 2023 | down 73.7% | volatile |
| 58 | Egypt | 5 1000 t | 2023 | down 44.4% | volatile |
| 60 | Finland | 4 1000 t | 2023 | — | volatile |
| 60 | Georgia | 4 1000 t | 2023 | — | volatile |
| 60 | Romania | 4 1000 t | 2023 | up 300.0% | volatile |
| 60 | Türkiye | 4 1000 t | 2023 | — | volatile |
| 64 | Suriname | 3 1000 t | 2022 | down 96.4% | falling |
| 64 | Uganda | 3 1000 t | 2023 | — | volatile |
| 64 | China, Hong Kong SAR | 3 1000 t | 2023 | down 82.4% | volatile |
| 67 | Saudi Arabia | 2 1000 t | 2023 | down 33.3% | volatile |
| 67 | China, Taiwan Province of | 2 1000 t | 2023 | down 71.4% | volatile |
| 69 | Jamaica | 1 1000 t | 2023 | — | volatile |
| 69 | Saint Lucia | 1 1000 t | 2023 | down 92.9% | volatile |
| 71 | Albania | 0 1000 t | 2022 | — | flat |
| 71 | Armenia | 0 1000 t | 2023 | — | flat |
| 71 | Australia | 0 1000 t | 2023 | — | flat |
| 71 | Burkina Faso | 0 1000 t | 2023 | — | flat |
| 71 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 71 | Bulgaria | 0 1000 t | 2023 | down 100.0% | volatile |
| 71 | Bahrain | 0 1000 t | 2023 | — | flat |
| 71 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 71 | Belarus | 0 1000 t | 2021 | — | volatile |
| 71 | Botswana | 0 1000 t | 2023 | — | flat |
| 71 | Canada | 0 1000 t | 2023 | — | flat |
| 71 | Switzerland | 0 1000 t | 2023 | — | flat |
| 71 | Chile | 0 1000 t | 2023 | — | flat |
| 71 | Cuba | 0 1000 t | 2018 | — | flat |
| 71 | Cyprus | 0 1000 t | 2023 | — | flat |
| 71 | Algeria | 0 1000 t | 2021 | — | flat |
| 71 | Estonia | 0 1000 t | 2023 | — | flat |
| 71 | Fiji | 0 1000 t | 2023 | — | flat |
| 71 | Gabon | 0 1000 t | 2023 | — | flat |
| 71 | Guinea | 0 1000 t | 2023 | — | flat |
| 71 | Grenada | 0 1000 t | 2021 | — | flat |
| 71 | Guyana | 0 1000 t | 2023 | — | flat |
| 71 | Haiti | 0 1000 t | 2022 | — | flat |
| 71 | Iceland | 0 1000 t | 2023 | — | flat |
| 71 | Jordan | 0 1000 t | 2023 | — | volatile |
| 71 | Kazakhstan | 0 1000 t | 2023 | — | volatile |
| 71 | Kenya | 0 1000 t | 2023 | — | flat |
| 71 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 71 | Saint Kitts and Nevis | 0 1000 t | 2016 | — | flat |
| 71 | Kuwait | 0 1000 t | 2023 | down 100.0% | volatile |
| 71 | Sri Lanka | 0 1000 t | 2023 | — | volatile |
| 71 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 71 | Morocco | 0 1000 t | 2014 | — | flat |
| 71 | Madagascar | 0 1000 t | 2023 | — | flat |
| 71 | North Macedonia | 0 1000 t | 2015 | — | flat |
| 71 | Malta | 0 1000 t | 2021 | — | flat |
| 71 | Myanmar | 0 1000 t | 2020 | down 100.0% | volatile |
| 71 | Montenegro | 0 1000 t | 2022 | — | flat |
| 71 | Mauritius | 0 1000 t | 2017 | — | flat |
| 71 | Malawi | 0 1000 t | 2023 | — | flat |
| 71 | Namibia | 0 1000 t | 2023 | — | flat |
| 71 | Niger | 0 1000 t | 2018 | — | flat |
| 71 | Nigeria | 0 1000 t | 2023 | — | flat |
| 71 | Norway | 0 1000 t | 2023 | — | flat |
| 71 | Nepal | 0 1000 t | 2023 | — | flat |
| 71 | New Zealand | 0 1000 t | 2023 | — | flat |
| 71 | French Polynesia | 0 1000 t | 2022 | — | flat |
| 71 | Rwanda | 0 1000 t | 2022 | — | flat |
| 71 | Senegal | 0 1000 t | 2022 | — | flat |
| 71 | El Salvador | 0 1000 t | 2019 | — | flat |
| 71 | Serbia | 0 1000 t | 2023 | down 100.0% | volatile |
| 71 | Seychelles | 0 1000 t | 2015 | — | flat |
| 71 | Tonga | 0 1000 t | 2023 | — | flat |
| 71 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 71 | Tunisia | 0 1000 t | 2018 | — | volatile |
| 71 | Ukraine | 0 1000 t | 2023 | — | volatile |
| 71 | Uruguay | 0 1000 t | 2023 | — | flat |
| 71 | Uzbekistan | 0 1000 t | 2023 | — | flat |
| 71 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | down 100.0% | volatile |
| 71 | Vanuatu | 0 1000 t | 2021 | — | flat |
| 71 | Samoa | 0 1000 t | 2023 | — | flat |
| 71 | Yemen | 0 1000 t | 2023 | down 100.0% | falling |
| 71 | Zambia | 0 1000 t | 2022 | — | flat |
| 71 | Melanesia | 0 1000 t | 2023 | — | flat |
| 71 | Polynesia | 0 1000 t | 2023 | — | flat |
| 71 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 71 | Iran (Islamic Republic of) | 0 1000 t | 2023 | down 100.0% | volatile |
| 71 | Republic of Korea | 0 1000 t | 2023 | — | volatile |
| 71 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 71 | Syrian Arab Republic | 0 1000 t | 2020 | — | flat |
| 71 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | flat |
| 71 | Australia and New Zealand | 0 1000 t | 2023 | — | flat |
| 71 | United Kingdom of Great Britain and Northern Ireland | 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 23,658 1000 t
- Americas 15,967 1000 t
- South America 8,614 1000 t
- Central America 6,488 1000 t
- Asia 3,668 1000 t
- Europe 3,080 1000 t
- European Union (27) 3,008 1000 t
- South-eastern Asia 2,953 1000 t
- Western Europe 2,410 1000 t
- Net Food Importing Developing Countries (NFIDCs) 2,032 1000 t
- Africa 943 1000 t
- Southern Asia 640 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.