Bananas — Food 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...
Countries reporting
184
Highest
28,928 1000 t
India
Lowest
0 1000 t
Timor-Leste
Median
72 1000 t
Years covered
14
2010–2023
Data points
2,991
What the numbers show
Bananas — Food is currently reported for 184 countries. The highest value is 28,928 1000 t in India; the lowest is 0 1000 t in Timor-Leste.
The median across all reporting countries is 72 1000 t, and the mean is 689.07 1000 t.
Over the past decade 115 countries rose and 44 fell. The largest increase was in Uzbekistan (up 3,050.0%), and the largest decrease in North Macedonia (down 100.0%).
Bananas — Food: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 28,928 1000 t | 2023 | up 31.4% | rising |
| 2 | China | 11,073 1000 t | 2023 | up 7.2% | rising |
| 3 | China, mainland | 10,750 1000 t | 2023 | up 6.8% | rising |
| 4 | Indonesia | 8,843 1000 t | 2023 | up 60.7% | rising |
| 5 | Nigeria | 7,308 1000 t | 2023 | — | volatile |
| 6 | Brazil | 5,745 1000 t | 2023 | down 0.3% | flat |
| 7 | United States | 3,750 1000 t | 2023 | up 1.5% | rising |
| 8 | Philippines | 3,047 1000 t | 2023 | down 26.8% | falling |
| 9 | Kenya | 2,663 1000 t | 2023 | up 111.5% | rising |
| 10 | United Republic of Tanzania | 2,511 1000 t | 2023 | up 36.9% | rising |
| 11 | Peru | 2,090 1000 t | 2023 | up 14.3% | rising |
| 12 | Mexico | 2,014 1000 t | 2023 | up 25.6% | rising |
| 13 | Vietnam | 1,878 1000 t | 2023 | up 9.4% | rising |
| 13 | Viet Nam | 1,878 1000 t | 2023 | up 9.4% | rising |
| 15 | Russia | 1,463 1000 t | 2023 | up 13.4% | rising |
| 15 | Russian Federation | 1,463 1000 t | 2023 | up 13.4% | rising |
| 17 | Angola | 1,449 1000 t | 2023 | up 58.7% | rising |
| 18 | Melanesia | 1,144 1000 t | 2023 | up 4.7% | rising |
| 19 | Papua New Guinea | 1,114 1000 t | 2023 | up 3.7% | rising |
| 20 | Egypt | 1,086 1000 t | 2023 | up 0.7% | rising |
| 21 | Malawi | 989 1000 t | 2023 | up 178.6% | rising |
| 22 | Germany | 963 1000 t | 2023 | down 1.7% | rising |
| 23 | Caribbean | 914 1000 t | 2023 | up 2.8% | rising |
| 24 | Ethiopia | 846 1000 t | 2023 | up 175.6% | volatile |
| 25 | Turkey | 844 1000 t | 2023 | up 121.5% | rising |
| 25 | Türkiye | 844 1000 t | 2023 | up 121.5% | rising |
| 27 | United Kingdom | 805 1000 t | 2023 | down 23.4% | falling |
| 27 | United Kingdom of Great Britain and Northern Ireland | 805 1000 t | 2023 | down 23.4% | falling |
| 29 | Bangladesh | 770 1000 t | 2023 | up 8.5% | rising |
| 30 | Laos | 745 1000 t | 2023 | up 101.9% | rising |
| 30 | Lao People's Democratic Republic | 745 1000 t | 2023 | up 101.9% | rising |
| 32 | Democratic Republic of the Congo | 739 1000 t | 2023 | up 90.5% | rising |
| 33 | France | 734 1000 t | 2023 | up 145.5% | rising |
| 34 | Thailand | 725 1000 t | 2023 | up 29.5% | flat |
| 35 | Italy | 707 1000 t | 2023 | up 18.8% | rising |
| 36 | Colombia | 699 1000 t | 2023 | down 63.6% | volatile |
| 37 | Argentina | 602 1000 t | 2023 | up 14.0% | rising |
| 38 | Dominican Republic | 586 1000 t | 2023 | up 15.6% | rising |
| 39 | Cameroon | 574 1000 t | 2023 | down 50.0% | falling |
| 40 | South Africa | 546 1000 t | 2023 | up 44.4% | rising |
| 41 | Canada | 511 1000 t | 2023 | down 3.9% | flat |
| 42 | Venezuela (Bolivarian Republic of) | 465 1000 t | 2023 | up 27.0% | rising |
| 43 | Nepal | 422 1000 t | 2023 | up 151.2% | rising |
| 44 | Australia and New Zealand | 398 1000 t | 2023 | up 18.5% | rising |
| 45 | Spain | 376 1000 t | 2023 | up 23.3% | rising |
| 46 | Madagascar | 369 1000 t | 2023 | up 13.5% | rising |
| 47 | Australia | 337 1000 t | 2023 | up 13.5% | rising |
| 48 | Morocco | 310 1000 t | 2023 | unchanged | rising |
| 49 | Republic of Korea | 308 1000 t | 2023 | up 3.4% | flat |
| 50 | Rwanda | 279 1000 t | 2023 | down 86.5% | volatile |
| 50 | Zimbabwe | 279 1000 t | 2023 | up 203.3% | rising |
| 50 | Iran (Islamic Republic of) | 279 1000 t | 2023 | down 59.4% | falling |
| 53 | China, Taiwan Province of | 272 1000 t | 2023 | up 25.9% | rising |
| 54 | Netherlands (Kingdom of the) | 270 1000 t | 2023 | up 210.3% | rising |
| 55 | Cuba | 237 1000 t | 2019 | up 17.3% | rising |
| 56 | Malaysia | 234 1000 t | 2023 | up 0.4% | rising |
| 57 | Mozambique | 205 1000 t | 2023 | down 53.3% | flat |
| 58 | Ukraine | 201 1000 t | 2023 | down 24.4% | rising |
| 59 | Portugal | 195 1000 t | 2023 | up 44.4% | rising |
| 60 | Israel | 186 1000 t | 2023 | up 56.3% | rising |
| 61 | Guinea | 180 1000 t | 2023 | up 10.4% | rising |
| 62 | Algeria | 175 1000 t | 2023 | down 29.1% | falling |
| 63 | Haiti | 167 1000 t | 2023 | down 11.6% | falling |
| 64 | Belgium | 163 1000 t | 2023 | up 246.8% | rising |
| 64 | Iraq | 163 1000 t | 2023 | up 129.6% | volatile |
| 66 | Greece | 155 1000 t | 2023 | up 76.1% | rising |
| 66 | Romania | 155 1000 t | 2023 | up 287.5% | rising |
| 68 | Ecuador | 139 1000 t | 2023 | down 44.4% | volatile |
| 68 | Poland | 139 1000 t | 2023 | up 78.2% | rising |
| 70 | Austria | 137 1000 t | 2023 | up 47.3% | rising |
| 71 | Liberia | 132 1000 t | 2023 | up 10.0% | rising |
| 72 | Pakistan | 127 1000 t | 2023 | up 535.0% | rising |
| 73 | Uzbekistan | 126 1000 t | 2023 | up 3,050.0% | volatile |
| 74 | Yemen | 120 1000 t | 2023 | up 100.0% | rising |
| 75 | United Arab Emirates | 116 1000 t | 2023 | down 42.9% | rising |
| 76 | Czechia | 113 1000 t | 2023 | up 37.8% | rising |
| 77 | Switzerland | 100 1000 t | 2023 | up 25.0% | rising |
| 78 | Jordan | 90 1000 t | 2023 | up 76.5% | rising |
| 79 | Guatemala | 89 1000 t | 2023 | up 20.3% | volatile |
| 80 | Cambodia | 88 1000 t | 2023 | down 20.0% | falling |
| 81 | Bolivia (Plurinational State of) | 85 1000 t | 2023 | up 193.1% | rising |
| 82 | Honduras | 84 1000 t | 2023 | up 75.0% | volatile |
| 82 | Libya | 84 1000 t | 2023 | up 35.5% | volatile |
| 84 | Congo | 82 1000 t | 2023 | up 7.9% | rising |
| 85 | Finland | 80 1000 t | 2023 | up 9.6% | rising |
| 86 | Denmark | 76 1000 t | 2023 | down 5.0% | flat |
| 86 | Kazakhstan | 76 1000 t | 2023 | up 85.4% | rising |
| 86 | Serbia | 76 1000 t | 2023 | up 61.7% | rising |
| 89 | Comoros | 75 1000 t | 2023 | up 70.5% | rising |
| 89 | Norway | 75 1000 t | 2023 | down 2.6% | flat |
| 91 | Croatia | 73 1000 t | 2023 | up 43.1% | rising |
| 91 | Saudi Arabia | 73 1000 t | 2023 | down 60.3% | volatile |
| 93 | Sweden | 71 1000 t | 2023 | down 9.0% | falling |
| 94 | Afghanistan | 67 1000 t | 2023 | down 18.3% | volatile |
| 95 | El Salvador | 62 1000 t | 2023 | up 12.7% | rising |
| 96 | New Zealand | 61 1000 t | 2023 | up 60.5% | rising |
| 97 | Jamaica | 60 1000 t | 2023 | up 81.8% | rising |
| 98 | Ireland | 56 1000 t | 2023 | up 16.7% | rising |
| 99 | Azerbaijan | 51 1000 t | 2023 | up 466.7% | volatile |
| 100 | Burkina Faso | 48 1000 t | 2023 | up 860.0% | volatile |
| 100 | Slovakia | 48 1000 t | 2023 | up 45.5% | rising |
| 102 | Bosnia and Herzegovina | 47 1000 t | 2023 | up 113.6% | rising |
| 102 | Lebanon | 47 1000 t | 2023 | up 840.0% | volatile |
| 102 | Uruguay | 47 1000 t | 2023 | up 23.7% | rising |
| 105 | Hungary | 46 1000 t | 2023 | up 43.8% | rising |
| 106 | Bulgaria | 45 1000 t | 2023 | up 55.2% | rising |
| 106 | Senegal | 45 1000 t | 2023 | down 8.2% | falling |
| 106 | China, Hong Kong SAR | 45 1000 t | 2023 | down 13.5% | flat |
| 109 | Kuwait | 44 1000 t | 2023 | up 2.3% | volatile |
| 110 | Chile | 43 1000 t | 2023 | down 74.1% | falling |
| 111 | Panama | 42 1000 t | 2023 | unchanged | flat |
| 111 | Paraguay | 42 1000 t | 2023 | up 35.5% | rising |
| 113 | Georgia | 36 1000 t | 2023 | up 140.0% | rising |
| 114 | Costa Rica | 30 1000 t | 2023 | up 500.0% | volatile |
| 115 | Lithuania | 29 1000 t | 2023 | up 70.6% | rising |
| 116 | Kyrgyzstan | 28 1000 t | 2023 | up 366.7% | volatile |
| 117 | Tajikistan | 27 1000 t | 2023 | up 1,250.0% | volatile |
| 118 | Armenia | 23 1000 t | 2023 | up 1,050.0% | rising |
| 118 | Slovenia | 23 1000 t | 2023 | down 8.0% | flat |
| 118 | Syria | 23 1000 t | 2023 | down 37.8% | volatile |
| 118 | Syrian Arab Republic | 23 1000 t | 2023 | down 37.8% | volatile |
| 122 | Latvia | 22 1000 t | 2023 | up 83.3% | rising |
| 123 | Estonia | 18 1000 t | 2023 | up 80.0% | rising |
| 123 | Polynesia | 18 1000 t | 2023 | up 12.5% | rising |
| 125 | Vanuatu | 17 1000 t | 2023 | up 21.4% | rising |
| 126 | Gabon | 16 1000 t | 2023 | unchanged | rising |
| 126 | Guyana | 16 1000 t | 2023 | up 300.0% | rising |
| 126 | Samoa | 16 1000 t | 2023 | unchanged | flat |
| 129 | Oman | 15 1000 t | 2023 | down 6.2% | volatile |
| 130 | Botswana | 14 1000 t | 2023 | up 1,300.0% | volatile |
| 131 | Cyprus | 12 1000 t | 2023 | up 50.0% | rising |
| 131 | Moldova | 12 1000 t | 2023 | up 50.0% | rising |
| 131 | Tunisia | 12 1000 t | 2023 | down 36.8% | volatile |
| 131 | Republic of Moldova | 12 1000 t | 2023 | up 50.0% | rising |
| 135 | Bahamas | 11 1000 t | 2023 | up 22.2% | rising |
| 135 | Fiji | 11 1000 t | 2023 | up 175.0% | rising |
| 135 | Mauritius | 11 1000 t | 2023 | up 22.2% | falling |
| 138 | Uganda | 10 1000 t | 2023 | down 98.2% | volatile |
| 139 | Malta | 9 1000 t | 2023 | up 200.0% | rising |
| 139 | Trinidad and Tobago | 9 1000 t | 2023 | up 28.6% | falling |
| 139 | Micronesia | 9 1000 t | 2023 | up 50.0% | rising |
| 142 | Guinea-Bissau | 8 1000 t | 2023 | up 14.3% | rising |
| 142 | Mongolia | 8 1000 t | 2023 | up 166.7% | volatile |
| 142 | Qatar | 8 1000 t | 2023 | — | rising |
| 142 | Zambia | 8 1000 t | 2023 | up 166.7% | volatile |
| 146 | Ghana | 7 1000 t | 2023 | down 90.4% | volatile |
| 146 | Kiribati | 7 1000 t | 2023 | up 16.7% | rising |
| 148 | Luxembourg | 6 1000 t | 2023 | up 50.0% | rising |
| 149 | Djibouti | 5 1000 t | 2023 | up 25.0% | volatile |
| 149 | Iceland | 5 1000 t | 2023 | up 66.7% | flat |
| 149 | Montenegro | 5 1000 t | 2023 | down 37.5% | flat |
| 149 | Sao Tome and Principe | 5 1000 t | 2023 | down 85.3% | volatile |
| 149 | Democratic People's Republic of Korea | 5 1000 t | 2018 | — | volatile |
| 149 | China, Macao SAR | 5 1000 t | 2023 | up 66.7% | rising |
| 155 | Albania | 4 1000 t | 2023 | down 77.8% | flat |
| 155 | Bhutan | 4 1000 t | 2023 | — | rising |
| 155 | Namibia | 4 1000 t | 2023 | — | rising |
| 155 | Niger | 4 1000 t | 2023 | unchanged | volatile |
| 155 | Cabo Verde | 4 1000 t | 2023 | down 55.6% | falling |
| 160 | Barbados | 3 1000 t | 2023 | unchanged | falling |
| 160 | Maldives | 3 1000 t | 2023 | up 200.0% | rising |
| 160 | Saint Vincent and the Grenadines | 3 1000 t | 2023 | unchanged | rising |
| 163 | Belarus | 2 1000 t | 2023 | down 97.3% | flat |
| 163 | Belize | 2 1000 t | 2023 | — | volatile |
| 163 | Saint Lucia | 2 1000 t | 2023 | down 66.7% | volatile |
| 163 | Lesotho | 2 1000 t | 2023 | — | volatile |
| 163 | New Caledonia | 2 1000 t | 2023 | up 100.0% | rising |
| 163 | Suriname | 2 1000 t | 2023 | unchanged | volatile |
| 163 | Seychelles | 2 1000 t | 2023 | unchanged | flat |
| 163 | Micronesia (Federated States of) | 2 1000 t | 2023 | — | flat |
| 171 | Antigua and Barbuda | 1 1000 t | 2023 | unchanged | rising |
| 171 | Bahrain | 1 1000 t | 2023 | — | falling |
| 171 | Cote d'Ivoire | 1 1000 t | 2023 | down 99.0% | volatile |
| 171 | Grenada | 1 1000 t | 2023 | down 75.0% | falling |
| 171 | Saint Kitts and Nevis | 1 1000 t | 2023 | — | volatile |
| 171 | Tonga | 1 1000 t | 2023 | — | flat |
| 171 | Côte d'Ivoire | 1 1000 t | 2023 | down 99.0% | volatile |
| 178 | North Macedonia | 0 1000 t | 2023 | down 100.0% | volatile |
| 178 | Mauritania | 0 1000 t | 2023 | down 100.0% | volatile |
| 178 | Nicaragua | 0 1000 t | 2023 | — | volatile |
| 178 | Eswatini | 0 1000 t | 2023 | down 100.0% | volatile |
| 178 | Turkmenistan | 0 1000 t | 2023 | — | volatile |
| 178 | East Timor | 0 1000 t | 2023 | — | volatile |
| 178 | Timor-Leste | 0 1000 t | 2023 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 110,448 1000 t
- Asia 60,542 1000 t
- Southern Asia 30,600 1000 t
- Africa 23,360 1000 t
- Net Food Importing Developing Countries (NFIDCs) 20,373 1000 t
- Americas 17,472 1000 t
- South-Eastern Asia 15,561 1000 t
- Low Income Food Deficit Countries (LIFDCs) 13,298 1000 t
- Least Developed Countries (LDCs) 12,569 1000 t
- Eastern Asia 12,247 1000 t
- South America 9,975 1000 t
- Eastern Africa 9,023 1000 t
- Western Africa 8,313 1000 t
- Europe 7,506 1000 t
- Land Locked Developing Countries (LLDCs) 5,527 1000 t
- European Union (27) 4,724 1000 t
- Northern America 4,261 1000 t
- United States of America 3,750 1000 t
- Middle Africa 2,923 1000 t
- Northern Africa 2,535 1000 t
- Western Europe 2,374 1000 t
- Central America 2,322 1000 t
- Eastern Europe 2,224 1000 t
- Small island developing States (SIDS) 2,210 1000 t
- Western Asia 1,877 1000 t
- Southern Europe 1,670 1000 t
- Oceania 1,568 1000 t
- Northern Europe 1,237 1000 t
- Southern Africa 566 1000 t
- Central Asia 256 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.