Bananas — 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...
What the numbers show
Bananas — Import quantity is currently reported for 172 countries. The highest value is 1,827 1000 t in China; the lowest is 0 1000 t in China, Taiwan Province of.
The median across all reporting countries is 5 1000 t, and the mean is 107.37 1000 t.
Over the past decade 65 countries rose and 32 fell. The largest increase was in Nepal (up 5,100.0%), and the largest decrease in Indonesia (down 100.0%).
Bananas — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 1,827 1000 t | 2023 | up 207.1% | rising |
| 2 | China, mainland | 1,768 1000 t | 2023 | up 243.3% | rising |
| 3 | Russian Federation | 1,534 1000 t | 2023 | up 14.6% | rising |
| 4 | Germany | 1,363 1000 t | 2023 | up 1.4% | rising |
| 5 | Netherlands (Kingdom of the) | 1,327 1000 t | 2023 | up 217.5% | volatile |
| 6 | Belgium | 973 1000 t | 2023 | down 23.7% | falling |
| 7 | United Kingdom of Great Britain and Northern Ireland | 847 1000 t | 2023 | down 25.7% | falling |
| 8 | Italy | 818 1000 t | 2023 | up 24.9% | rising |
| 9 | France | 806 1000 t | 2023 | up 31.7% | rising |
| 10 | Canada | 587 1000 t | 2023 | up 8.1% | rising |
| 11 | Poland | 494 1000 t | 2023 | up 86.4% | rising |
| 12 | Argentina | 471 1000 t | 2023 | up 20.2% | rising |
| 13 | Spain | 437 1000 t | 2023 | up 118.5% | rising |
| 14 | Republic of Korea | 324 1000 t | 2023 | up 3.2% | flat |
| 15 | Chile | 254 1000 t | 2023 | up 43.5% | rising |
| 16 | Greece | 221 1000 t | 2023 | up 70.0% | rising |
| 17 | Portugal | 220 1000 t | 2023 | up 59.4% | rising |
| 18 | Ukraine | 201 1000 t | 2023 | down 24.4% | rising |
| 19 | Algeria | 195 1000 t | 2023 | down 28.8% | falling |
| 20 | Iraq | 181 1000 t | 2023 | up 129.1% | volatile |
| 20 | Sweden | 181 1000 t | 2023 | unchanged | flat |
| 22 | United Arab Emirates | 180 1000 t | 2023 | down 57.6% | falling |
| 23 | Czechia | 172 1000 t | 2023 | up 38.7% | rising |
| 24 | Romania | 167 1000 t | 2023 | up 288.4% | rising |
| 25 | Austria | 149 1000 t | 2023 | up 24.2% | rising |
| 25 | Iran (Islamic Republic of) | 149 1000 t | 2023 | down 75.0% | falling |
| 27 | Uzbekistan | 126 1000 t | 2023 | up 3,050.0% | volatile |
| 28 | Switzerland | 102 1000 t | 2023 | up 24.4% | rising |
| 28 | Honduras | 102 1000 t | 2023 | up 88.9% | volatile |
| 30 | Slovenia | 99 1000 t | 2023 | up 115.2% | rising |
| 31 | Libya | 93 1000 t | 2023 | up 36.8% | volatile |
| 32 | Denmark | 92 1000 t | 2023 | up 1.1% | flat |
| 32 | Ireland | 92 1000 t | 2023 | up 33.3% | rising |
| 34 | Finland | 90 1000 t | 2023 | up 15.4% | rising |
| 34 | Croatia | 90 1000 t | 2023 | up 66.7% | rising |
| 36 | New Zealand | 83 1000 t | 2023 | up 31.7% | rising |
| 36 | Australia and New Zealand | 83 1000 t | 2023 | up 31.7% | rising |
| 38 | Norway | 79 1000 t | 2023 | down 2.5% | flat |
| 39 | Kazakhstan | 76 1000 t | 2023 | up 85.4% | rising |
| 39 | Serbia | 76 1000 t | 2023 | up 58.3% | rising |
| 41 | Slovakia | 69 1000 t | 2023 | up 53.3% | rising |
| 42 | Afghanistan | 67 1000 t | 2023 | down 18.3% | volatile |
| 43 | El Salvador | 65 1000 t | 2023 | up 25.0% | rising |
| 44 | Hungary | 62 1000 t | 2023 | up 44.2% | falling |
| 45 | Uruguay | 56 1000 t | 2023 | up 27.3% | rising |
| 46 | China, Hong Kong SAR | 54 1000 t | 2023 | down 30.8% | falling |
| 46 | Türkiye | 54 1000 t | 2023 | down 77.0% | falling |
| 48 | Bosnia and Herzegovina | 52 1000 t | 2023 | up 108.0% | rising |
| 48 | Nepal | 52 1000 t | 2023 | up 5,100.0% | volatile |
| 50 | Azerbaijan | 51 1000 t | 2023 | up 466.7% | volatile |
| 51 | Bulgaria | 47 1000 t | 2023 | up 30.6% | rising |
| 52 | Kuwait | 44 1000 t | 2023 | down 13.7% | volatile |
| 52 | Lithuania | 44 1000 t | 2023 | up 46.7% | rising |
| 52 | Latvia | 44 1000 t | 2023 | up 100.0% | rising |
| 55 | Saudi Arabia | 41 1000 t | 2023 | down 78.8% | volatile |
| 56 | Georgia | 40 1000 t | 2023 | up 166.7% | rising |
| 57 | Malaysia | 35 1000 t | 2023 | up 118.8% | volatile |
| 57 | Thailand | 35 1000 t | 2023 | up 133.3% | volatile |
| 59 | Jordan | 34 1000 t | 2023 | up 142.9% | volatile |
| 60 | Kyrgyzstan | 28 1000 t | 2023 | up 366.7% | volatile |
| 60 | Morocco | 28 1000 t | 2023 | down 12.5% | falling |
| 62 | Tajikistan | 27 1000 t | 2023 | up 1,250.0% | volatile |
| 63 | Syrian Arab Republic | 24 1000 t | 2023 | down 41.5% | volatile |
| 64 | Armenia | 23 1000 t | 2023 | up 1,050.0% | rising |
| 65 | Estonia | 18 1000 t | 2023 | up 80.0% | rising |
| 66 | Republic of Moldova | 16 1000 t | 2023 | up 45.5% | rising |
| 67 | Guatemala | 15 1000 t | 2023 | up 36.4% | rising |
| 68 | Botswana | 14 1000 t | 2023 | up 600.0% | volatile |
| 68 | Costa Rica | 14 1000 t | 2023 | up 1,300.0% | volatile |
| 70 | Senegal | 13 1000 t | 2023 | down 23.5% | volatile |
| 70 | Tunisia | 13 1000 t | 2023 | down 38.1% | rising |
| 70 | Uganda | 13 1000 t | 2023 | — | volatile |
| 70 | Caribbean | 13 1000 t | 2023 | down 23.5% | falling |
| 74 | Malta | 10 1000 t | 2023 | up 233.3% | rising |
| 75 | Cyprus | 9 1000 t | 2023 | up 125.0% | rising |
| 75 | Qatar | 9 1000 t | 2023 | — | rising |
| 77 | Mongolia | 8 1000 t | 2023 | up 166.7% | volatile |
| 77 | Zambia | 8 1000 t | 2023 | up 166.7% | volatile |
| 79 | Luxembourg | 7 1000 t | 2023 | up 75.0% | rising |
| 79 | Trinidad and Tobago | 7 1000 t | 2023 | up 133.3% | volatile |
| 81 | Iceland | 6 1000 t | 2023 | up 100.0% | rising |
| 82 | Albania | 5 1000 t | 2023 | down 75.0% | rising |
| 82 | Djibouti | 5 1000 t | 2023 | unchanged | volatile |
| 82 | Haiti | 5 1000 t | 2021 | down 76.2% | volatile |
| 82 | Montenegro | 5 1000 t | 2023 | down 37.5% | falling |
| 82 | Democratic People's Republic of Korea | 5 1000 t | 2018 | — | volatile |
| 82 | China, Macao SAR | 5 1000 t | 2023 | up 66.7% | rising |
| 88 | Ecuador | 4 1000 t | 2023 | down 20.0% | volatile |
| 88 | Namibia | 4 1000 t | 2023 | — | rising |
| 88 | Niger | 4 1000 t | 2023 | unchanged | volatile |
| 91 | Bahamas | 3 1000 t | 2023 | up 200.0% | rising |
| 91 | Barbados | 3 1000 t | 2023 | up 50.0% | rising |
| 91 | Colombia | 3 1000 t | 2023 | unchanged | falling |
| 91 | Maldives | 3 1000 t | 2023 | up 200.0% | rising |
| 91 | Nicaragua | 3 1000 t | 2023 | down 57.1% | volatile |
| 96 | Belarus | 2 1000 t | 2023 | down 97.3% | flat |
| 96 | Lesotho | 2 1000 t | 2023 | — | volatile |
| 98 | Antigua and Barbuda | 1 1000 t | 2023 | unchanged | volatile |
| 98 | Burkina Faso | 1 1000 t | 2023 | down 80.0% | volatile |
| 98 | Bahrain | 1 1000 t | 2023 | — | falling |
| 98 | Egypt | 1 1000 t | 2023 | down 96.6% | volatile |
| 98 | Saint Kitts and Nevis | 1 1000 t | 2023 | — | volatile |
| 98 | Lebanon | 1 1000 t | 2023 | — | volatile |
| 98 | Eswatini | 1 1000 t | 2023 | down 50.0% | volatile |
| 98 | Turkmenistan | 1 1000 t | 2021 | — | volatile |
| 106 | Angola | 0 1000 t | 2023 | — | volatile |
| 106 | Australia | 0 1000 t | 2023 | — | flat |
| 106 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 106 | Belize | 0 1000 t | 2023 | — | flat |
| 106 | Brazil | 0 1000 t | 2023 | — | flat |
| 106 | Cameroon | 0 1000 t | 2023 | — | flat |
| 106 | Congo | 0 1000 t | 2023 | — | flat |
| 106 | Comoros | 0 1000 t | 2023 | — | flat |
| 106 | Cuba | 0 1000 t | 2018 | — | flat |
| 106 | Dominican Republic | 0 1000 t | 2021 | — | flat |
| 106 | Ethiopia | 0 1000 t | 2023 | — | flat |
| 106 | Fiji | 0 1000 t | 2023 | — | flat |
| 106 | Gabon | 0 1000 t | 2023 | — | flat |
| 106 | Ghana | 0 1000 t | 2023 | — | flat |
| 106 | Guinea | 0 1000 t | 2023 | — | flat |
| 106 | Gambia | 0 1000 t | 2022 | — | flat |
| 106 | Grenada | 0 1000 t | 2023 | — | flat |
| 106 | Indonesia | 0 1000 t | 2021 | down 100.0% | volatile |
| 106 | India | 0 1000 t | 2023 | — | flat |
| 106 | Israel | 0 1000 t | 2023 | — | flat |
| 106 | Kenya | 0 1000 t | 2021 | down 100.0% | volatile |
| 106 | Cambodia | 0 1000 t | 2023 | — | flat |
| 106 | Kiribati | 0 1000 t | 2022 | — | flat |
| 106 | Liberia | 0 1000 t | 2023 | — | volatile |
| 106 | Saint Lucia | 0 1000 t | 2022 | down 100.0% | volatile |
| 106 | Sri Lanka | 0 1000 t | 2019 | — | flat |
| 106 | Madagascar | 0 1000 t | 2023 | — | flat |
| 106 | Mexico | 0 1000 t | 2019 | — | flat |
| 106 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 106 | North Macedonia | 0 1000 t | 2023 | down 100.0% | volatile |
| 106 | Myanmar | 0 1000 t | 2020 | — | flat |
| 106 | Mozambique | 0 1000 t | 2023 | — | flat |
| 106 | Mauritania | 0 1000 t | 2023 | down 100.0% | volatile |
| 106 | Mauritius | 0 1000 t | 2023 | — | flat |
| 106 | Malawi | 0 1000 t | 2023 | — | volatile |
| 106 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 106 | Nigeria | 0 1000 t | 2023 | — | flat |
| 106 | Nauru | 0 1000 t | 2023 | — | flat |
| 106 | Pakistan | 0 1000 t | 2023 | — | volatile |
| 106 | Panama | 0 1000 t | 2023 | — | volatile |
| 106 | Peru | 0 1000 t | 2023 | — | flat |
| 106 | Philippines | 0 1000 t | 2023 | — | flat |
| 106 | Papua New Guinea | 0 1000 t | 2022 | — | flat |
| 106 | Paraguay | 0 1000 t | 2023 | — | volatile |
| 106 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 106 | Rwanda | 0 1000 t | 2022 | down 100.0% | volatile |
| 106 | Solomon Islands | 0 1000 t | 2021 | — | flat |
| 106 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 106 | Seychelles | 0 1000 t | 2023 | — | flat |
| 106 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 106 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 106 | Samoa | 0 1000 t | 2023 | — | flat |
| 106 | Yemen | 0 1000 t | 2021 | — | flat |
| 106 | Zimbabwe | 0 1000 t | 2021 | — | volatile |
| 106 | Micronesia | 0 1000 t | 2023 | — | flat |
| 106 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 106 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 106 | Melanesia | 0 1000 t | 2023 | — | flat |
| 106 | Polynesia | 0 1000 t | 2023 | — | flat |
| 106 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 106 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | flat |
| 106 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2022 | — | flat |
| 106 | Viet Nam | 0 1000 t | 2023 | — | volatile |
| 106 | Côte d'Ivoire | 0 1000 t | 2023 | — | flat |
| 106 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | volatile |
| 106 | United Republic of Tanzania | 0 1000 t | 2023 | — | volatile |
| 106 | China, Taiwan Province of | 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 22,453 1000 t
- Europe 11,021 1000 t
- European Union (27) 8,104 1000 t
- Americas 6,238 1000 t
- Northern America 5,240 1000 t
- Western Europe 4,726 1000 t
- United States of America 4,653 1000 t
- Asia 4,508 1000 t
- Eastern Asia 3,193 1000 t
- Eastern Europe 2,765 1000 t
- Southern Europe 2,034 1000 t
- Northern Europe 1,495 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.