Plantains — Domestic supply 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
Plantains — Domestic supply quantity is currently reported for 167 countries. The highest value is 11,084 1000 t in Uganda; the lowest is -635 1000 t in Lao People's Democratic Republic.
The median across all reporting countries is 1 1000 t, and the mean is 261.54 1000 t.
The gap between the highest and lowest reporting country is a factor of about 17.
Over the past decade 46 countries rose and 36 fell. The largest increase was in Bulgaria (up 1,050.0%), and the largest decrease in Mexico (down 850.0%).
Plantains — Domestic supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Uganda | 11,084 1000 t | 2023 | up 153.4% | rising |
| 2 | Democratic Republic of the Congo | 4,898 1000 t | 2023 | up 28.4% | rising |
| 3 | Cameroon | 4,608 1000 t | 2023 | up 24.8% | rising |
| 4 | Ghana | 4,440 1000 t | 2023 | up 20.8% | rising |
| 5 | Philippines | 3,146 1000 t | 2023 | — | volatile |
| 6 | Colombia | 2,480 1000 t | 2023 | down 24.3% | falling |
| 7 | Côte d'Ivoire | 2,090 1000 t | 2023 | up 28.7% | rising |
| 9 | Myanmar | 1,319 1000 t | 2023 | up 33.9% | rising |
| 10 | Dominican Republic | 1,143 1000 t | 2023 | up 28.9% | rising |
| 11 | Rwanda | 1,050 1000 t | 2023 | — | volatile |
| 12 | Sri Lanka | 764 1000 t | 2023 | up 30.6% | rising |
| 13 | Cuba | 716 1000 t | 2019 | up 47.3% | rising |
| 14 | Guinea | 707 1000 t | 2023 | up 48.8% | rising |
| 15 | Venezuela (Bolivarian Republic of) | 622 1000 t | 2023 | up 16.5% | rising |
| 16 | Ecuador | 599 1000 t | 2023 | up 50.9% | rising |
| 17 | United Republic of Tanzania | 581 1000 t | 2023 | up 0.7% | flat |
| 18 | Bolivia (Plurinational State of) | 493 1000 t | 2023 | up 40.1% | rising |
| 19 | Guatemala | 460 1000 t | 2023 | up 497.4% | volatile |
| 20 | Malawi | 411 1000 t | 2023 | up 13.2% | rising |
| 21 | Gabon | 354 1000 t | 2023 | up 13.5% | rising |
| 22 | Nicaragua | 271 1000 t | 2023 | up 367.2% | volatile |
| 23 | Haiti | 248 1000 t | 2023 | up 20.4% | flat |
| 24 | Panama | 217 1000 t | 2023 | up 95.5% | rising |
| 25 | Bangladesh | 185 1000 t | 2023 | — | volatile |
| 26 | Saudi Arabia | 179 1000 t | 2023 | up 58.4% | volatile |
| 27 | Honduras | 140 1000 t | 2023 | up 18.6% | rising |
| 28 | Guyana | 126 1000 t | 2023 | up 740.0% | volatile |
| 29 | Congo | 85 1000 t | 2023 | unchanged | flat |
| 30 | Costa Rica | 82 1000 t | 2023 | down 16.3% | falling |
| 30 | El Salvador | 82 1000 t | 2023 | down 20.4% | rising |
| 32 | Jamaica | 61 1000 t | 2023 | up 96.8% | rising |
| 33 | Guinea-Bissau | 57 1000 t | 2023 | up 11.8% | rising |
| 33 | Romania | 57 1000 t | 2023 | up 21.3% | rising |
| 35 | Liberia | 51 1000 t | 2023 | up 8.5% | rising |
| 36 | Sierra Leone | 47 1000 t | 2023 | up 11.9% | rising |
| 37 | Sao Tome and Principe | 41 1000 t | 2023 | up 5.1% | rising |
| 38 | Kenya | 34 1000 t | 2023 | up 9.7% | rising |
| 39 | United Kingdom of Great Britain and Northern Ireland | 33 1000 t | 2023 | up 37.5% | rising |
| 40 | Spain | 31 1000 t | 2023 | up 6.9% | volatile |
| 41 | France | 29 1000 t | 2023 | down 25.6% | rising |
| 42 | Canada | 28 1000 t | 2023 | up 86.7% | rising |
| 43 | North Macedonia | 26 1000 t | 2023 | up 73.3% | rising |
| 44 | Italy | 24 1000 t | 2023 | up 84.6% | volatile |
| 44 | Qatar | 24 1000 t | 2023 | — | falling |
| 46 | Bulgaria | 23 1000 t | 2023 | up 1,050.0% | volatile |
| 47 | Afghanistan | 22 1000 t | 2023 | — | volatile |
| 48 | Belgium | 19 1000 t | 2023 | up 18.8% | volatile |
| 49 | Hungary | 18 1000 t | 2023 | up 350.0% | volatile |
| 50 | Netherlands (Kingdom of the) | 17 1000 t | 2023 | down 10.5% | falling |
| 51 | Bahrain | 13 1000 t | 2023 | — | falling |
| 51 | Senegal | 13 1000 t | 2023 | — | volatile |
| 51 | Melanesia | 13 1000 t | 2023 | — | volatile |
| 54 | Burkina Faso | 12 1000 t | 2023 | — | volatile |
| 54 | Chile | 12 1000 t | 2023 | unchanged | volatile |
| 54 | Fiji | 12 1000 t | 2023 | — | volatile |
| 54 | Slovakia | 12 1000 t | 2023 | up 50.0% | rising |
| 58 | Germany | 8 1000 t | 2023 | up 700.0% | volatile |
| 58 | Mauritania | 8 1000 t | 2023 | — | volatile |
| 60 | Montenegro | 7 1000 t | 2023 | up 600.0% | volatile |
| 61 | Syrian Arab Republic | 6 1000 t | 2023 | down 45.5% | volatile |
| 62 | Suriname | 5 1000 t | 2023 | down 78.3% | falling |
| 62 | Trinidad and Tobago | 5 1000 t | 2023 | down 44.4% | falling |
| 64 | Belize | 4 1000 t | 2023 | up 33.3% | rising |
| 65 | Portugal | 3 1000 t | 2023 | down 25.0% | volatile |
| 66 | Argentina | 2 1000 t | 2023 | down 50.0% | volatile |
| 66 | Switzerland | 2 1000 t | 2023 | up 100.0% | volatile |
| 66 | Cyprus | 2 1000 t | 2023 | — | volatile |
| 66 | Czechia | 2 1000 t | 2023 | down 71.4% | volatile |
| 66 | Grenada | 2 1000 t | 2023 | unchanged | volatile |
| 66 | Kuwait | 2 1000 t | 2023 | — | volatile |
| 66 | Namibia | 2 1000 t | 2023 | down 50.0% | volatile |
| 66 | Oman | 2 1000 t | 2023 | down 71.4% | volatile |
| 66 | Tonga | 2 1000 t | 2023 | — | flat |
| 66 | Saint Vincent and the Grenadines | 2 1000 t | 2023 | unchanged | rising |
| 66 | Polynesia | 2 1000 t | 2023 | — | volatile |
| 77 | Bahamas | 1 1000 t | 2023 | unchanged | volatile |
| 77 | Barbados | 1 1000 t | 2023 | unchanged | rising |
| 77 | Ireland | 1 1000 t | 2023 | down 90.9% | volatile |
| 77 | Iraq | 1 1000 t | 2023 | — | volatile |
| 77 | Iceland | 1 1000 t | 2023 | down 66.7% | volatile |
| 77 | Saint Lucia | 1 1000 t | 2023 | unchanged | rising |
| 77 | Lesotho | 1 1000 t | 2023 | unchanged | volatile |
| 77 | Lithuania | 1 1000 t | 2023 | down 66.7% | falling |
| 77 | Luxembourg | 1 1000 t | 2023 | unchanged | volatile |
| 77 | Malaysia | 1 1000 t | 2023 | — | volatile |
| 77 | Uruguay | 1 1000 t | 2023 | unchanged | volatile |
| 88 | Angola | 0 1000 t | 2023 | — | volatile |
| 88 | Albania | 0 1000 t | 2018 | — | volatile |
| 88 | United Arab Emirates | 0 1000 t | 2023 | down 100.0% | falling |
| 88 | Armenia | 0 1000 t | 2023 | down 100.0% | volatile |
| 88 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 88 | Australia | 0 1000 t | 2023 | — | flat |
| 88 | Austria | 0 1000 t | 2023 | down 100.0% | volatile |
| 88 | Azerbaijan | 0 1000 t | 2023 | — | volatile |
| 88 | Bosnia and Herzegovina | 0 1000 t | 2023 | down 100.0% | volatile |
| 88 | Belarus | 0 1000 t | 2021 | — | volatile |
| 88 | Brazil | 0 1000 t | 2023 | up 100.0% | volatile |
| 88 | Botswana | 0 1000 t | 2023 | down 100.0% | volatile |
| 88 | China | 0 1000 t | 2023 | — | volatile |
| 88 | Comoros | 0 1000 t | 2023 | — | flat |
| 88 | Djibouti | 0 1000 t | 2021 | — | flat |
| 88 | Denmark | 0 1000 t | 2023 | down 100.0% | volatile |
| 88 | Algeria | 0 1000 t | 2023 | — | volatile |
| 88 | Estonia | 0 1000 t | 2023 | — | flat |
| 88 | Finland | 0 1000 t | 2023 | — | volatile |
| 88 | Georgia | 0 1000 t | 2023 | — | flat |
| 88 | Gambia | 0 1000 t | 2023 | — | flat |
| 88 | Croatia | 0 1000 t | 2023 | — | volatile |
| 88 | India | 0 1000 t | 2023 | — | volatile |
| 88 | Israel | 0 1000 t | 2023 | — | flat |
| 88 | Jordan | 0 1000 t | 2023 | down 100.0% | volatile |
| 88 | Kazakhstan | 0 1000 t | 2023 | down 100.0% | volatile |
| 88 | Cambodia | 0 1000 t | 2023 | — | volatile |
| 88 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 88 | Libya | 0 1000 t | 2023 | — | flat |
| 88 | Latvia | 0 1000 t | 2023 | down 100.0% | volatile |
| 88 | Morocco | 0 1000 t | 2023 | down 100.0% | volatile |
| 88 | Madagascar | 0 1000 t | 2023 | — | flat |
| 88 | Maldives | 0 1000 t | 2023 | — | flat |
| 88 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 88 | Malta | 0 1000 t | 2023 | — | flat |
| 88 | Mongolia | 0 1000 t | 2023 | — | flat |
| 88 | Mozambique | 0 1000 t | 2023 | up 100.0% | volatile |
| 88 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 88 | Niger | 0 1000 t | 2023 | down 100.0% | volatile |
| 88 | Nigeria | 0 1000 t | 2023 | down 100.0% | volatile |
| 88 | Norway | 0 1000 t | 2023 | — | flat |
| 88 | Nepal | 0 1000 t | 2023 | — | flat |
| 88 | New Zealand | 0 1000 t | 2023 | down 100.0% | volatile |
| 88 | Peru | 0 1000 t | 2023 | — | volatile |
| 88 | Poland | 0 1000 t | 2023 | down 100.0% | volatile |
| 88 | Paraguay | 0 1000 t | 2023 | — | volatile |
| 88 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 88 | Serbia | 0 1000 t | 2023 | — | volatile |
| 88 | Slovenia | 0 1000 t | 2023 | — | volatile |
| 88 | Sweden | 0 1000 t | 2023 | — | volatile |
| 88 | Seychelles | 0 1000 t | 2021 | — | flat |
| 88 | Thailand | 0 1000 t | 2023 | — | flat |
| 88 | Tunisia | 0 1000 t | 2023 | — | flat |
| 88 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 88 | Ukraine | 0 1000 t | 2023 | — | flat |
| 88 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 88 | Samoa | 0 1000 t | 2023 | — | flat |
| 88 | Yemen | 0 1000 t | 2023 | — | flat |
| 88 | Zambia | 0 1000 t | 2023 | — | flat |
| 88 | Zimbabwe | 0 1000 t | 2023 | — | volatile |
| 88 | Micronesia | 0 1000 t | 2023 | — | flat |
| 88 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 88 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 88 | Iran (Islamic Republic of) | 0 1000 t | 2023 | down 100.0% | volatile |
| 88 | Republic of Korea | 0 1000 t | 2023 | — | flat |
| 88 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 88 | Russian Federation | 0 1000 t | 2023 | — | flat |
| 88 | Viet Nam | 0 1000 t | 2023 | — | volatile |
| 88 | Türkiye | 0 1000 t | 2023 | — | flat |
| 88 | Australia and New Zealand | 0 1000 t | 2023 | down 100.0% | volatile |
| 88 | China, mainland | 0 1000 t | 2023 | — | volatile |
| 88 | China, Taiwan Province of | 0 1000 t | 2023 | — | flat |
| 88 | Micronesia (Federated States of) | 0 1000 t | 2023 | — | flat |
| 161 | Greece | -3 1000 t | 2023 | — | volatile |
| 162 | Egypt | -4 1000 t | 2023 | down 233.3% | volatile |
| 163 | Lebanon | -5 1000 t | 2023 | up 37.5% | volatile |
| 164 | Eswatini | -10 1000 t | 2023 | down 150.0% | volatile |
| 165 | Mexico | -15 1000 t | 2023 | down 850.0% | volatile |
| 166 | Indonesia | -16 1000 t | 2023 | down 166.7% | volatile |
| 167 | Pakistan | -22 1000 t | 2023 | — | volatile |
| 168 | Lao People's Democratic Republic | -635 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 43,811 1000 t
- Africa 30,651 1000 t
- Net Food Importing Developing Countries (NFIDCs) 25,821 1000 t
- Low Income Food Deficit Countries (LIFDCs) 24,327 1000 t
- Least Developed Countries (LDCs) 20,192 1000 t
- Eastern Africa 13,160 1000 t
- Land Locked Developing Countries (LLDCs) 12,544 1000 t
- Middle Africa 10,026 1000 t
- Caribbean 1,825 1000 t
- Americas 7,842 1000 t
- Western Africa 7,475 1000 t
- Asia 4,989 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.