Plantains — 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...
What the numbers show
Plantains — Food is currently reported for 120 countries. The highest value is 10,019 1000 t in Uganda; the lowest is 0 1000 t in Australia and New Zealand.
The median across all reporting countries is 8 1000 t, and the mean is 331.63 1000 t.
Over the past decade 46 countries rose and 37 fell. The largest increase was in Bulgaria (up 1,050.0%), and the largest decrease in United Arab Emirates (down 100.0%).
Plantains — Food: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Uganda | 10,019 1000 t | 2023 | up 152.3% | rising |
| 2 | Ghana | 4,084 1000 t | 2023 | up 21.3% | rising |
| 3 | Democratic Republic of the Congo | 3,732 1000 t | 2023 | up 21.7% | rising |
| 4 | Philippines | 2,882 1000 t | 2023 | down 1.0% | flat |
| 5 | Colombia | 1,945 1000 t | 2023 | down 25.8% | falling |
| 6 | Cote d'Ivoire | 1,697 1000 t | 2023 | up 30.6% | rising |
| 6 | Côte d'Ivoire | 1,697 1000 t | 2023 | up 30.6% | rising |
| 8 | Caribbean | 1,613 1000 t | 2023 | up 8.5% | rising |
| 9 | Cameroon | 1,554 1000 t | 2023 | up 41.7% | rising |
| 10 | Myanmar | 1,108 1000 t | 2023 | up 32.4% | rising |
| 11 | Dominican Republic | 1,042 1000 t | 2023 | up 29.3% | rising |
| 12 | Rwanda | 967 1000 t | 2023 | — | volatile |
| 13 | Cuba | 701 1000 t | 2019 | up 46.7% | rising |
| 14 | Sri Lanka | 698 1000 t | 2023 | up 30.7% | rising |
| 15 | Guinea | 658 1000 t | 2023 | up 51.3% | rising |
| 16 | Ecuador | 573 1000 t | 2023 | up 50.8% | rising |
| 17 | Venezuela (Bolivarian Republic of) | 531 1000 t | 2023 | up 16.7% | rising |
| 18 | United Republic of Tanzania | 463 1000 t | 2023 | up 0.9% | flat |
| 19 | United States | 408 1000 t | 2023 | up 39.7% | rising |
| 20 | Guatemala | 403 1000 t | 2023 | up 646.3% | volatile |
| 21 | Malawi | 377 1000 t | 2023 | up 13.6% | rising |
| 22 | Bolivia (Plurinational State of) | 329 1000 t | 2023 | up 33.7% | rising |
| 23 | Gabon | 272 1000 t | 2023 | up 13.3% | rising |
| 24 | Nicaragua | 185 1000 t | 2023 | up 374.4% | volatile |
| 25 | Saudi Arabia | 179 1000 t | 2023 | up 58.4% | volatile |
| 26 | Bangladesh | 174 1000 t | 2023 | — | volatile |
| 27 | Panama | 163 1000 t | 2023 | up 87.4% | rising |
| 28 | Haiti | 158 1000 t | 2023 | up 13.7% | flat |
| 29 | Honduras | 111 1000 t | 2023 | up 18.1% | rising |
| 30 | Congo | 78 1000 t | 2023 | unchanged | flat |
| 31 | Guyana | 77 1000 t | 2023 | up 600.0% | volatile |
| 32 | El Salvador | 65 1000 t | 2023 | down 20.7% | rising |
| 33 | Costa Rica | 63 1000 t | 2023 | down 17.1% | falling |
| 34 | Romania | 57 1000 t | 2023 | up 21.3% | rising |
| 35 | Jamaica | 55 1000 t | 2023 | up 96.4% | rising |
| 36 | Liberia | 47 1000 t | 2023 | up 9.3% | rising |
| 37 | Guinea-Bissau | 46 1000 t | 2023 | up 12.2% | rising |
| 38 | Sierra Leone | 43 1000 t | 2023 | up 10.3% | rising |
| 39 | Sao Tome and Principe | 35 1000 t | 2023 | up 6.1% | rising |
| 40 | United Kingdom | 33 1000 t | 2023 | up 37.5% | rising |
| 40 | United Kingdom of Great Britain and Northern Ireland | 33 1000 t | 2023 | up 37.5% | rising |
| 42 | Kenya | 31 1000 t | 2023 | up 10.7% | rising |
| 43 | Spain | 29 1000 t | 2023 | up 52.6% | volatile |
| 43 | France | 29 1000 t | 2023 | down 25.6% | rising |
| 45 | Canada | 28 1000 t | 2023 | up 86.7% | rising |
| 46 | Italy | 24 1000 t | 2023 | up 84.6% | volatile |
| 47 | Bulgaria | 23 1000 t | 2023 | up 1,050.0% | volatile |
| 47 | North Macedonia | 23 1000 t | 2023 | up 76.9% | rising |
| 49 | Afghanistan | 22 1000 t | 2023 | — | volatile |
| 50 | Qatar | 21 1000 t | 2023 | — | falling |
| 51 | Belgium | 19 1000 t | 2023 | up 18.8% | volatile |
| 52 | Hungary | 18 1000 t | 2023 | up 350.0% | volatile |
| 53 | Netherlands (Kingdom of the) | 17 1000 t | 2023 | down 10.5% | falling |
| 54 | Senegal | 13 1000 t | 2023 | — | volatile |
| 55 | Burkina Faso | 12 1000 t | 2023 | — | volatile |
| 55 | Chile | 12 1000 t | 2023 | unchanged | volatile |
| 55 | Slovakia | 12 1000 t | 2023 | up 50.0% | rising |
| 55 | Melanesia | 12 1000 t | 2023 | — | volatile |
| 59 | Fiji | 11 1000 t | 2023 | — | volatile |
| 60 | Germany | 8 1000 t | 2023 | up 700.0% | volatile |
| 60 | Mauritania | 8 1000 t | 2023 | — | volatile |
| 62 | Bahrain | 7 1000 t | 2023 | — | falling |
| 62 | Montenegro | 7 1000 t | 2023 | up 600.0% | volatile |
| 64 | Syria | 6 1000 t | 2023 | down 45.5% | volatile |
| 64 | Syrian Arab Republic | 6 1000 t | 2023 | down 45.5% | volatile |
| 66 | Trinidad and Tobago | 5 1000 t | 2023 | down 37.5% | falling |
| 67 | Suriname | 4 1000 t | 2023 | down 77.8% | falling |
| 68 | Portugal | 3 1000 t | 2023 | down 25.0% | volatile |
| 69 | Argentina | 2 1000 t | 2023 | down 50.0% | volatile |
| 69 | Belize | 2 1000 t | 2023 | unchanged | rising |
| 69 | Switzerland | 2 1000 t | 2023 | up 100.0% | volatile |
| 69 | Cyprus | 2 1000 t | 2023 | — | volatile |
| 69 | Czechia | 2 1000 t | 2023 | down 71.4% | volatile |
| 69 | Namibia | 2 1000 t | 2023 | down 50.0% | volatile |
| 69 | Oman | 2 1000 t | 2023 | down 71.4% | volatile |
| 69 | Tonga | 2 1000 t | 2023 | — | flat |
| 69 | Saint Vincent and the Grenadines | 2 1000 t | 2023 | unchanged | rising |
| 69 | Polynesia | 2 1000 t | 2023 | — | volatile |
| 79 | Bahamas | 1 1000 t | 2023 | unchanged | volatile |
| 79 | Barbados | 1 1000 t | 2023 | unchanged | rising |
| 79 | Ireland | 1 1000 t | 2023 | down 90.9% | volatile |
| 79 | Iraq | 1 1000 t | 2023 | — | volatile |
| 79 | Iceland | 1 1000 t | 2023 | down 66.7% | volatile |
| 79 | Saint Lucia | 1 1000 t | 2023 | unchanged | flat |
| 79 | Lesotho | 1 1000 t | 2023 | unchanged | volatile |
| 79 | Lithuania | 1 1000 t | 2023 | down 66.7% | falling |
| 79 | Luxembourg | 1 1000 t | 2023 | unchanged | volatile |
| 79 | Malaysia | 1 1000 t | 2023 | — | volatile |
| 79 | Uruguay | 1 1000 t | 2023 | unchanged | volatile |
| 90 | Albania | 0 1000 t | 2018 | — | volatile |
| 90 | United Arab Emirates | 0 1000 t | 2023 | down 100.0% | volatile |
| 90 | Armenia | 0 1000 t | 2023 | down 100.0% | volatile |
| 90 | Austria | 0 1000 t | 2023 | down 100.0% | volatile |
| 90 | Azerbaijan | 0 1000 t | 2023 | — | volatile |
| 90 | Bosnia and Herzegovina | 0 1000 t | 2023 | down 100.0% | volatile |
| 90 | Belarus | 0 1000 t | 2021 | — | volatile |
| 90 | Botswana | 0 1000 t | 2023 | down 100.0% | volatile |
| 90 | Denmark | 0 1000 t | 2023 | down 100.0% | volatile |
| 90 | Algeria | 0 1000 t | 2023 | — | volatile |
| 90 | Egypt | 0 1000 t | 2023 | — | volatile |
| 90 | Finland | 0 1000 t | 2023 | — | volatile |
| 90 | Greece | 0 1000 t | 2023 | — | volatile |
| 90 | Grenada | 0 1000 t | 2023 | down 100.0% | volatile |
| 90 | Croatia | 0 1000 t | 2023 | — | volatile |
| 90 | Jordan | 0 1000 t | 2023 | down 100.0% | volatile |
| 90 | Kazakhstan | 0 1000 t | 2023 | down 100.0% | volatile |
| 90 | Latvia | 0 1000 t | 2023 | down 100.0% | volatile |
| 90 | Morocco | 0 1000 t | 2023 | down 100.0% | volatile |
| 90 | Mexico | 0 1000 t | 2023 | down 100.0% | volatile |
| 90 | Niger | 0 1000 t | 2023 | down 100.0% | volatile |
| 90 | Nigeria | 0 1000 t | 2023 | down 100.0% | volatile |
| 90 | New Zealand | 0 1000 t | 2023 | down 100.0% | volatile |
| 90 | Poland | 0 1000 t | 2023 | down 100.0% | volatile |
| 90 | Paraguay | 0 1000 t | 2023 | — | volatile |
| 90 | Serbia | 0 1000 t | 2023 | — | volatile |
| 90 | Slovenia | 0 1000 t | 2023 | — | volatile |
| 90 | Sweden | 0 1000 t | 2023 | — | volatile |
| 90 | South Africa | 0 1000 t | 2023 | down 100.0% | volatile |
| 90 | Iran (Islamic Republic of) | 0 1000 t | 2023 | down 100.0% | volatile |
| 90 | Australia and New Zealand | 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 36,155 1000 t
- Africa 24,206 1000 t
- Net Food Importing Developing Countries (NFIDCs) 22,813 1000 t
- Low Income Food Deficit Countries (LIFDCs) 18,522 1000 t
- Least Developed Countries (LDCs) 17,949 1000 t
- Eastern Africa 11,857 1000 t
- Land Locked Developing Countries (LLDCs) 11,818 1000 t
- Western Africa 6,658 1000 t
- Americas 6,517 1000 t
- Middle Africa 5,687 1000 t
- Asia 5,105 1000 t
- South-Eastern Asia 3,991 1000 t
- South America 3,475 1000 t
- Small island developing States (SIDS) 1,792 1000 t
- Central America 992 1000 t
- Southern Asia 895 1000 t
- Northern America 437 1000 t
- United States of America 408 1000 t
- Europe 312 1000 t
- European Union (27) 247 1000 t
- Western Asia 219 1000 t
- Eastern Europe 112 1000 t
- Southern Europe 87 1000 t
- Western Europe 76 1000 t
- Northern Europe 37 1000 t
- Oceania 14 1000 t
- Southern Africa 4 1000 t
- Eastern Asia 1 1000 t
- Central Asia 0 1000 t
- Northern Africa 0 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.