Bananas — Losses 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 — Losses is currently reported for 133 countries. The highest value is 7,186 1000 t in India; the lowest is 0 1000 t in Cabo Verde.
The median across all reporting countries is 13 1000 t, and the mean is 156.11 1000 t.
Over the past decade 75 countries rose and 28 fell. The largest increase was in Romania (up 300.0%), and the largest decrease in Belarus (down 100.0%).
Bananas — Losses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 7,186 1000 t | 2023 | up 30.3% | rising |
| 2 | China | 2,729 1000 t | 2023 | up 7.1% | rising |
| 3 | China, mainland | 2,694 1000 t | 2023 | up 7.0% | rising |
| 4 | Brazil | 1,025 1000 t | 2023 | down 0.9% | flat |
| 5 | Angola | 992 1000 t | 2023 | up 56.2% | rising |
| 6 | United Republic of Tanzania | 788 1000 t | 2023 | up 36.8% | rising |
| 7 | Philippines | 492 1000 t | 2023 | down 32.0% | falling |
| 8 | Guatemala | 305 1000 t | 2023 | down 70.6% | falling |
| 9 | Kenya | 243 1000 t | 2023 | up 111.3% | rising |
| 10 | United States | 233 1000 t | 2023 | up 2.2% | rising |
| 11 | Mexico | 221 1000 t | 2023 | up 22.8% | rising |
| 12 | Vietnam | 216 1000 t | 2023 | up 36.7% | rising |
| 12 | Viet Nam | 216 1000 t | 2023 | up 36.7% | rising |
| 14 | Caribbean | 195 1000 t | 2023 | up 3.2% | rising |
| 15 | Peru | 184 1000 t | 2023 | up 14.3% | rising |
| 16 | Spain | 118 1000 t | 2023 | up 61.6% | rising |
| 17 | Rwanda | 113 1000 t | 2023 | down 85.5% | volatile |
| 18 | Thailand | 111 1000 t | 2023 | up 29.1% | flat |
| 19 | Dominican Republic | 109 1000 t | 2023 | up 21.1% | rising |
| 20 | Melanesia | 106 1000 t | 2023 | up 1.0% | rising |
| 21 | Papua New Guinea | 104 1000 t | 2023 | unchanged | rising |
| 22 | Egypt | 102 1000 t | 2023 | up 5.2% | rising |
| 23 | Malawi | 89 1000 t | 2023 | up 178.1% | rising |
| 24 | Ecuador | 87 1000 t | 2023 | up 171.9% | rising |
| 25 | Cameroon | 84 1000 t | 2023 | down 37.3% | falling |
| 26 | Venezuela (Bolivarian Republic of) | 82 1000 t | 2023 | up 32.3% | rising |
| 27 | Ethiopia | 79 1000 t | 2023 | up 182.1% | volatile |
| 28 | Indonesia | 74 1000 t | 2023 | down 85.9% | volatile |
| 29 | Bangladesh | 70 1000 t | 2023 | up 7.7% | rising |
| 29 | Democratic Republic of the Congo | 70 1000 t | 2023 | up 100.0% | rising |
| 31 | Costa Rica | 64 1000 t | 2023 | up 3.2% | rising |
| 32 | Haiti | 57 1000 t | 2023 | down 9.5% | falling |
| 32 | Turkey | 57 1000 t | 2023 | up 67.6% | rising |
| 32 | Türkiye | 57 1000 t | 2023 | up 67.6% | rising |
| 35 | Guinea | 54 1000 t | 2023 | up 10.2% | rising |
| 35 | Malaysia | 54 1000 t | 2023 | up 1.9% | rising |
| 37 | Colombia | 52 1000 t | 2023 | down 30.7% | falling |
| 38 | Germany | 51 1000 t | 2023 | down 13.6% | rising |
| 38 | France | 51 1000 t | 2023 | up 64.5% | rising |
| 40 | Poland | 49 1000 t | 2023 | up 81.5% | rising |
| 41 | South Africa | 47 1000 t | 2023 | up 34.3% | rising |
| 42 | Laos | 46 1000 t | 2023 | up 31.4% | rising |
| 42 | Bolivia (Plurinational State of) | 46 1000 t | 2023 | up 84.0% | rising |
| 42 | Lao People's Democratic Republic | 46 1000 t | 2023 | up 31.4% | rising |
| 45 | Argentina | 45 1000 t | 2023 | up 12.5% | rising |
| 46 | Honduras | 43 1000 t | 2023 | down 29.5% | falling |
| 47 | United Kingdom | 42 1000 t | 2023 | down 26.3% | falling |
| 47 | United Kingdom of Great Britain and Northern Ireland | 42 1000 t | 2023 | down 26.3% | falling |
| 49 | Cote d'Ivoire | 41 1000 t | 2023 | up 41.4% | rising |
| 49 | Côte d'Ivoire | 41 1000 t | 2023 | up 41.4% | rising |
| 51 | Nepal | 34 1000 t | 2023 | up 126.7% | rising |
| 52 | Madagascar | 33 1000 t | 2023 | up 10.0% | rising |
| 53 | Mozambique | 32 1000 t | 2023 | down 33.3% | rising |
| 54 | China, Taiwan Province of | 30 1000 t | 2023 | up 25.0% | rising |
| 55 | Morocco | 27 1000 t | 2023 | up 8.0% | rising |
| 56 | Zimbabwe | 26 1000 t | 2023 | up 225.0% | rising |
| 57 | Portugal | 25 1000 t | 2023 | up 56.2% | rising |
| 58 | Cuba | 24 1000 t | 2019 | up 14.3% | rising |
| 58 | Pakistan | 24 1000 t | 2023 | up 140.0% | rising |
| 60 | Algeria | 19 1000 t | 2023 | down 29.6% | falling |
| 61 | Iraq | 18 1000 t | 2023 | up 125.0% | volatile |
| 62 | Cambodia | 16 1000 t | 2023 | up 33.3% | rising |
| 62 | Paraguay | 16 1000 t | 2023 | unchanged | falling |
| 62 | Republic of Korea | 16 1000 t | 2023 | unchanged | flat |
| 62 | Australia and New Zealand | 16 1000 t | 2023 | up 23.1% | rising |
| 66 | Chile | 15 1000 t | 2023 | up 36.4% | rising |
| 67 | Netherlands (Kingdom of the) | 13 1000 t | 2023 | up 225.0% | volatile |
| 68 | Canada | 12 1000 t | 2023 | up 9.1% | rising |
| 68 | Liberia | 12 1000 t | 2023 | up 9.1% | rising |
| 68 | El Salvador | 12 1000 t | 2023 | up 20.0% | rising |
| 71 | Czechia | 11 1000 t | 2023 | up 83.3% | flat |
| 71 | Yemen | 11 1000 t | 2023 | unchanged | flat |
| 73 | Slovenia | 10 1000 t | 2023 | up 100.0% | rising |
| 74 | Libya | 9 1000 t | 2023 | up 28.6% | volatile |
| 74 | Sweden | 9 1000 t | 2023 | unchanged | flat |
| 76 | Ghana | 8 1000 t | 2023 | up 14.3% | rising |
| 76 | Nicaragua | 8 1000 t | 2023 | up 166.7% | rising |
| 76 | New Zealand | 8 1000 t | 2023 | up 33.3% | rising |
| 76 | Romania | 8 1000 t | 2023 | up 300.0% | rising |
| 76 | Uruguay | 8 1000 t | 2023 | up 14.3% | rising |
| 81 | Australia | 7 1000 t | 2023 | unchanged | rising |
| 81 | Austria | 7 1000 t | 2023 | up 16.7% | rising |
| 81 | Congo | 7 1000 t | 2023 | unchanged | flat |
| 81 | Jordan | 7 1000 t | 2023 | up 40.0% | rising |
| 81 | Lebanon | 7 1000 t | 2023 | up 16.7% | rising |
| 86 | Jamaica | 6 1000 t | 2023 | up 100.0% | rising |
| 86 | Iran (Islamic Republic of) | 6 1000 t | 2023 | down 40.0% | falling |
| 88 | Bosnia and Herzegovina | 5 1000 t | 2023 | up 150.0% | rising |
| 88 | Comoros | 5 1000 t | 2023 | up 25.0% | rising |
| 88 | Denmark | 5 1000 t | 2023 | unchanged | rising |
| 88 | Finland | 5 1000 t | 2023 | up 25.0% | rising |
| 88 | Croatia | 5 1000 t | 2023 | up 66.7% | rising |
| 88 | Ireland | 5 1000 t | 2023 | up 66.7% | rising |
| 88 | Israel | 5 1000 t | 2023 | up 66.7% | rising |
| 88 | Panama | 5 1000 t | 2023 | down 37.5% | falling |
| 88 | Saint Vincent and the Grenadines | 5 1000 t | 2023 | unchanged | flat |
| 88 | China, Hong Kong SAR | 5 1000 t | 2023 | down 28.6% | falling |
| 98 | Norway | 4 1000 t | 2023 | unchanged | flat |
| 98 | Oman | 4 1000 t | 2023 | unchanged | volatile |
| 98 | Senegal | 4 1000 t | 2023 | up 33.3% | rising |
| 101 | United Arab Emirates | 3 1000 t | 2023 | — | volatile |
| 101 | Guyana | 3 1000 t | 2023 | up 200.0% | rising |
| 101 | Hungary | 3 1000 t | 2023 | up 50.0% | falling |
| 101 | Slovakia | 3 1000 t | 2023 | up 50.0% | rising |
| 105 | Bulgaria | 2 1000 t | 2023 | unchanged | rising |
| 105 | Gabon | 2 1000 t | 2023 | unchanged | flat |
| 105 | Saudi Arabia | 2 1000 t | 2023 | down 66.7% | volatile |
| 105 | Syria | 2 1000 t | 2023 | down 50.0% | volatile |
| 105 | Samoa | 2 1000 t | 2023 | unchanged | flat |
| 105 | Polynesia | 2 1000 t | 2023 | unchanged | flat |
| 105 | Syrian Arab Republic | 2 1000 t | 2023 | down 50.0% | volatile |
| 112 | Bahamas | 1 1000 t | 2023 | unchanged | flat |
| 112 | Belize | 1 1000 t | 2023 | unchanged | flat |
| 112 | Switzerland | 1 1000 t | 2023 | unchanged | falling |
| 112 | Cyprus | 1 1000 t | 2023 | unchanged | flat |
| 112 | Fiji | 1 1000 t | 2023 | — | volatile |
| 112 | Guinea-Bissau | 1 1000 t | 2023 | unchanged | flat |
| 112 | Kiribati | 1 1000 t | 2023 | unchanged | flat |
| 112 | Qatar | 1 1000 t | 2023 | — | volatile |
| 112 | Sao Tome and Principe | 1 1000 t | 2023 | down 85.7% | volatile |
| 112 | Eswatini | 1 1000 t | 2023 | unchanged | volatile |
| 112 | Trinidad and Tobago | 1 1000 t | 2023 | — | volatile |
| 112 | Tunisia | 1 1000 t | 2023 | unchanged | volatile |
| 112 | Vanuatu | 1 1000 t | 2023 | — | volatile |
| 112 | Zambia | 1 1000 t | 2023 | — | volatile |
| 112 | Micronesia | 1 1000 t | 2023 | unchanged | flat |
| 127 | Belarus | 0 1000 t | 2023 | down 100.0% | falling |
| 127 | Greece | 0 1000 t | 2023 | down 100.0% | volatile |
| 127 | Grenada | 0 1000 t | 2023 | down 100.0% | volatile |
| 127 | Italy | 0 1000 t | 2023 | down 100.0% | volatile |
| 127 | Saint Lucia | 0 1000 t | 2023 | down 100.0% | volatile |
| 127 | Suriname | 0 1000 t | 2023 | down 100.0% | volatile |
| 127 | Cabo Verde | 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 17,651 1000 t
- Asia 11,371 1000 t
- Southern Asia 7,321 1000 t
- Net Food Importing Developing Countries (NFIDCs) 3,584 1000 t
- Africa 3,060 1000 t
- Eastern Asia 2,921 1000 t
- Least Developed Countries (LDCs) 2,675 1000 t
- Americas 2,661 1000 t
- Low Income Food Deficit Countries (LIFDCs) 1,920 1000 t
- South America 1,562 1000 t
- Eastern Africa 1,446 1000 t
- Middle Africa 1,157 1000 t
- South-Eastern Asia 1,008 1000 t
- Central America 659 1000 t
- Land Locked Developing Countries (LLDCs) 530 1000 t
- Europe 435 1000 t
- European Union (27) 383 1000 t
- Small island developing States (SIDS) 315 1000 t
- Northern America 245 1000 t
- Northern Africa 238 1000 t
- United States of America 233 1000 t
- Western Africa 172 1000 t
- Southern Europe 163 1000 t
- Oceania 124 1000 t
- Western Europe 124 1000 t
- Western Asia 121 1000 t
- Eastern Europe 78 1000 t
- Northern Europe 69 1000 t
- Southern Africa 47 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.