Plantains — Protein supply quantity (t) 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 — Protein supply quantity (t) is currently reported for 161 countries. The highest value is 88,672 t in Uganda; the lowest is 0 t in Lao People's Democratic Republic.
The median across all reporting countries is 8.73 t, and the mean is 2,188 t.
Over the past decade 65 countries rose and 63 fell. The largest increase was in Afghanistan (up 18,726.0%), and the largest decrease in Angola (down 100.0%).
Plantains — Protein supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Uganda | 88,672 t | 2023 | up 152.3% | rising |
| 2 | Ghana | 36,142 t | 2023 | up 21.3% | rising |
| 3 | Democratic Republic of the Congo | 33,028 t | 2023 | up 21.7% | rising |
| 4 | Philippines | 25,508 t | 2023 | down 1.0% | flat |
| 5 | Colombia | 17,216 t | 2023 | down 25.8% | falling |
| 6 | Cote d'Ivoire | 15,014 t | 2023 | up 30.6% | rising |
| 6 | Côte d'Ivoire | 15,014 t | 2023 | up 30.6% | rising |
| 8 | Caribbean | 14,277 t | 2023 | up 8.5% | rising |
| 9 | Cameroon | 13,756 t | 2023 | up 41.7% | rising |
| 10 | Myanmar | 9,801 t | 2023 | up 32.2% | rising |
| 11 | Dominican Republic | 9,221 t | 2023 | up 29.3% | rising |
| 12 | Rwanda | 8,554 t | 2023 | — | volatile |
| 13 | Cuba | 6,201 t | 2019 | up 46.7% | rising |
| 14 | Sri Lanka | 6,181 t | 2023 | up 30.7% | rising |
| 15 | Guinea | 5,819 t | 2023 | up 51.0% | rising |
| 16 | Ecuador | 5,075 t | 2023 | up 51.1% | rising |
| 17 | Venezuela (Bolivarian Republic of) | 4,704 t | 2023 | up 16.7% | rising |
| 18 | United Republic of Tanzania | 4,099 t | 2023 | up 0.9% | flat |
| 19 | United States | 3,615 t | 2023 | up 39.8% | rising |
| 20 | Guatemala | 3,563 t | 2023 | up 651.8% | volatile |
| 21 | Malawi | 3,335 t | 2023 | up 13.4% | rising |
| 22 | Bolivia (Plurinational State of) | 2,913 t | 2023 | up 33.6% | rising |
| 23 | Gabon | 2,405 t | 2023 | up 13.3% | rising |
| 24 | Nicaragua | 1,640 t | 2023 | up 378.3% | volatile |
| 25 | Saudi Arabia | 1,582 t | 2023 | up 58.8% | volatile |
| 26 | Bangladesh | 1,537 t | 2023 | — | volatile |
| 27 | Panama | 1,444 t | 2023 | up 86.6% | rising |
| 28 | Haiti | 1,397 t | 2023 | up 13.9% | flat |
| 29 | Honduras | 978.43 t | 2023 | up 17.5% | rising |
| 30 | Congo | 687.93 t | 2023 | down 0.6% | flat |
| 31 | Guyana | 681.45 t | 2023 | up 604.1% | volatile |
| 32 | El Salvador | 573.84 t | 2023 | down 20.9% | rising |
| 33 | Costa Rica | 558.28 t | 2023 | down 17.2% | falling |
| 34 | Romania | 502.9 t | 2023 | up 20.3% | rising |
| 35 | Jamaica | 487.16 t | 2023 | up 97.5% | rising |
| 36 | Liberia | 414.66 t | 2023 | up 8.1% | rising |
| 37 | Guinea-Bissau | 405.69 t | 2023 | up 11.5% | rising |
| 38 | Sierra Leone | 383.3 t | 2023 | up 11.3% | rising |
| 39 | Sao Tome and Principe | 305.59 t | 2023 | up 4.5% | flat |
| 40 | United Kingdom | 293.62 t | 2023 | up 39.7% | rising |
| 40 | United Kingdom of Great Britain and Northern Ireland | 293.62 t | 2023 | up 39.7% | rising |
| 42 | Kenya | 277.06 t | 2023 | up 11.4% | rising |
| 43 | France | 255.7 t | 2023 | down 25.7% | rising |
| 44 | Spain | 252.81 t | 2023 | up 46.8% | volatile |
| 45 | Canada | 251.06 t | 2023 | up 88.3% | rising |
| 46 | Italy | 213.49 t | 2023 | up 89.1% | volatile |
| 47 | North Macedonia | 204.15 t | 2023 | up 74.5% | rising |
| 48 | Bulgaria | 201.29 t | 2023 | up 856.7% | volatile |
| 49 | Afghanistan | 195.79 t | 2023 | up 18,726.0% | volatile |
| 50 | Qatar | 186.14 t | 2023 | — | falling |
| 51 | Belgium | 169.98 t | 2023 | up 18.4% | volatile |
| 52 | Hungary | 160.72 t | 2023 | up 354.0% | volatile |
| 53 | Netherlands (Kingdom of the) | 153.12 t | 2023 | down 6.7% | falling |
| 54 | Senegal | 114.37 t | 2023 | — | volatile |
| 55 | Slovakia | 109.91 t | 2023 | up 50.3% | rising |
| 56 | Burkina Faso | 106.41 t | 2023 | — | volatile |
| 57 | Chile | 102.82 t | 2023 | down 1.5% | volatile |
| 58 | Melanesia | 102.52 t | 2023 | up 10,361.2% | volatile |
| 59 | Fiji | 101.11 t | 2023 | — | volatile |
| 60 | Mauritania | 73.77 t | 2023 | — | volatile |
| 61 | Germany | 68.54 t | 2023 | up 502.8% | volatile |
| 62 | Montenegro | 65.61 t | 2023 | up 457.0% | volatile |
| 63 | Bahrain | 62.37 t | 2023 | — | falling |
| 64 | Syria | 52.76 t | 2023 | down 43.4% | volatile |
| 64 | Syrian Arab Republic | 52.76 t | 2023 | down 43.4% | volatile |
| 66 | Trinidad and Tobago | 43.66 t | 2023 | down 41.2% | falling |
| 67 | Suriname | 35.78 t | 2023 | down 77.0% | falling |
| 68 | Portugal | 26.92 t | 2023 | down 31.0% | volatile |
| 69 | Belize | 21.99 t | 2023 | up 44.0% | rising |
| 70 | Namibia | 21.38 t | 2023 | down 44.1% | volatile |
| 71 | Argentina | 19.93 t | 2023 | down 41.1% | volatile |
| 72 | Polynesia | 19.58 t | 2023 | — | volatile |
| 73 | Czechia | 19.41 t | 2023 | down 70.6% | volatile |
| 74 | Tonga | 18.99 t | 2023 | — | flat |
| 75 | Saint Vincent and the Grenadines | 18.3 t | 2023 | down 3.5% | rising |
| 76 | Cyprus | 17.81 t | 2023 | up 9,794.4% | volatile |
| 77 | Switzerland | 15.59 t | 2023 | up 38.2% | rising |
| 78 | Oman | 14.96 t | 2023 | down 75.6% | volatile |
| 79 | Iceland | 10.69 t | 2023 | down 56.1% | volatile |
| 80 | Bahamas | 10.54 t | 2023 | up 92.3% | flat |
| 81 | Ireland | 8.73 t | 2023 | down 91.4% | volatile |
| 82 | Lithuania | 8.63 t | 2023 | down 68.2% | volatile |
| 83 | Lesotho | 7.95 t | 2023 | down 10.3% | volatile |
| 84 | Barbados | 7.21 t | 2023 | down 14.5% | rising |
| 85 | Saint Lucia | 7.2 t | 2023 | up 4.2% | rising |
| 86 | Malaysia | 6.9 t | 2023 | up 2,900.0% | volatile |
| 87 | Luxembourg | 6.51 t | 2023 | up 3.3% | rising |
| 88 | Iraq | 5.98 t | 2023 | — | volatile |
| 89 | Uruguay | 4.67 t | 2023 | down 57.5% | volatile |
| 90 | Grenada | 4.14 t | 2023 | down 36.2% | volatile |
| 91 | Libya | 3.98 t | 2023 | up 3,518.2% | volatile |
| 92 | Croatia | 3.15 t | 2023 | up 2,525.0% | volatile |
| 93 | Norway | 2.91 t | 2023 | up 377.0% | volatile |
| 94 | Micronesia | 2.64 t | 2023 | — | flat |
| 95 | Micronesia (Federated States of) | 2.51 t | 2023 | — | flat |
| 96 | Saint Kitts and Nevis | 2.46 t | 2023 | — | volatile |
| 97 | Denmark | 2.38 t | 2023 | down 64.9% | volatile |
| 98 | Bosnia and Herzegovina | 2.13 t | 2023 | down 97.8% | volatile |
| 99 | Botswana | 2.1 t | 2023 | down 96.2% | volatile |
| 100 | Antigua and Barbuda | 2.02 t | 2023 | up 10.4% | volatile |
| 101 | Maldives | 1.78 t | 2023 | up 2,125.0% | volatile |
| 102 | Austria | 1.58 t | 2023 | down 79.5% | volatile |
| 103 | Republic of Korea | 1.49 t | 2023 | — | volatile |
| 104 | New Caledonia | 1.41 t | 2023 | up 43.9% | rising |
| 105 | Finland | 1.27 t | 2023 | up 195.3% | volatile |
| 106 | Sweden | 0.89 t | 2023 | down 65.9% | volatile |
| 106 | Iran (Islamic Republic of) | 0.89 t | 2023 | down 91.4% | volatile |
| 108 | Niger | 0.77 t | 2023 | down 94.2% | volatile |
| 109 | Cabo Verde | 0.61 t | 2023 | — | volatile |
| 110 | French Polynesia | 0.59 t | 2023 | — | volatile |
| 111 | Georgia | 0.43 t | 2023 | up 19.4% | volatile |
| 112 | Malta | 0.39 t | 2023 | down 86.9% | volatile |
| 113 | China | 0.36 t | 2023 | up 350.0% | volatile |
| 113 | China, mainland | 0.36 t | 2023 | up 1,700.0% | volatile |
| 115 | Tunisia | 0.33 t | 2023 | up 371.4% | volatile |
| 116 | Nepal | 0.25 t | 2023 | down 90.4% | volatile |
| 117 | Australia and New Zealand | 0.22 t | 2023 | down 99.9% | volatile |
| 118 | Latvia | 0.19 t | 2023 | down 98.4% | volatile |
| 119 | Kazakhstan | 0.17 t | 2023 | down 99.7% | volatile |
| 119 | New Zealand | 0.17 t | 2023 | down 99.9% | volatile |
| 121 | Russia | 0.15 t | 2023 | — | volatile |
| 121 | Russian Federation | 0.15 t | 2023 | — | volatile |
| 123 | Marshall Islands | 0.13 t | 2023 | — | rising |
| 124 | Australia | 0.05 t | 2023 | down 92.2% | volatile |
| 125 | Estonia | 0.04 t | 2023 | down 20.0% | volatile |
| 126 | Azerbaijan | 0.01 t | 2023 | — | volatile |
| 126 | Belarus | 0.01 t | 2021 | down 99.3% | volatile |
| 126 | Comoros | 0.01 t | 2023 | unchanged | volatile |
| 126 | Slovenia | 0.01 t | 2023 | unchanged | volatile |
| 130 | Angola | 0 t | 2023 | down 100.0% | volatile |
| 130 | Albania | 0 t | 2018 | — | volatile |
| 130 | United Arab Emirates | 0 t | 2023 | down 100.0% | volatile |
| 130 | Armenia | 0 t | 2023 | down 100.0% | volatile |
| 130 | Djibouti | 0 t | 2021 | — | volatile |
| 130 | Algeria | 0 t | 2023 | down 100.0% | volatile |
| 130 | Egypt | 0 t | 2023 | — | volatile |
| 130 | Gambia | 0 t | 2023 | down 100.0% | volatile |
| 130 | Greece | 0 t | 2023 | down 100.0% | volatile |
| 130 | Israel | 0 t | 2023 | down 100.0% | volatile |
| 130 | Jordan | 0 t | 2023 | down 100.0% | volatile |
| 130 | Laos | 0 t | 2023 | down 100.0% | volatile |
| 130 | Lebanon | 0 t | 2023 | — | volatile |
| 130 | Morocco | 0 t | 2023 | down 100.0% | volatile |
| 130 | Moldova | 0 t | 2023 | down 100.0% | volatile |
| 130 | Mexico | 0 t | 2023 | down 100.0% | volatile |
| 130 | Mongolia | 0 t | 2023 | down 100.0% | volatile |
| 130 | Nigeria | 0 t | 2023 | down 100.0% | volatile |
| 130 | Poland | 0 t | 2023 | down 100.0% | volatile |
| 130 | Paraguay | 0 t | 2023 | — | volatile |
| 130 | Serbia | 0 t | 2023 | — | volatile |
| 130 | Thailand | 0 t | 2023 | — | volatile |
| 130 | Turkey | 0 t | 2023 | down 100.0% | volatile |
| 130 | Ukraine | 0 t | 2023 | — | volatile |
| 130 | Vanuatu | 0 t | 2023 | — | volatile |
| 130 | South Africa | 0 t | 2023 | down 100.0% | volatile |
| 130 | Zambia | 0 t | 2023 | down 100.0% | volatile |
| 130 | Zimbabwe | 0 t | 2023 | — | volatile |
| 130 | China, Hong Kong SAR | 0 t | 2023 | down 100.0% | volatile |
| 130 | Republic of Moldova | 0 t | 2023 | down 100.0% | volatile |
| 130 | Türkiye | 0 t | 2023 | down 100.0% | volatile |
| 130 | Lao People's Democratic Republic | 0 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 319,967 t
- Africa 214,225 t
- Net Food Importing Developing Countries (NFIDCs) 201,894 t
- Low Income Food Deficit Countries (LIFDCs) 163,922 t
- Least Developed Countries (LDCs) 158,847 t
- Eastern Africa 104,938 t
- Land Locked Developing Countries (LLDCs) 104,587 t
- Western Africa 58,919 t
- Americas 57,676 t
- Middle Africa 50,333 t
- Asia 45,178 t
- South-Eastern Asia 35,316 t
- South America 30,753 t
- Small island developing States (SIDS) 15,855 t
- Central America 8,780 t
- Southern Asia 7,917 t
- Northern America 3,866 t
- United States of America 3,615 t
- Europe 2,763 t
- European Union (27) 2,186 t
- Western Asia 1,935 t
- Eastern Europe 994.39 t
- Southern Europe 768.66 t
- Western Europe 671.03 t
- Northern Europe 329.35 t
- Oceania 124.96 t
- Southern Africa 31.44 t
- Eastern Asia 10.02 t
- Northern Africa 4.32 t
- Central Asia 0.21 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.