Plantains — Export 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 — Export quantity is currently reported for 117 countries. The highest value is 635 1000 t in Lao People's Democratic Republic; the lowest is 0 1000 t in United Kingdom of Great Britain and Northern Ireland.
The median across all reporting countries is 0 1000 t, and the mean is 15.2 1000 t.
Over the past decade 14 countries rose and 20 fell. The largest increase was in Mexico (up 650.0%), and the largest decrease in Bulgaria (down 100.0%).
Plantains — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Lao People's Democratic Republic | 635 1000 t | 2023 | — | volatile |
| 2 | Guatemala | 306 1000 t | 2023 | up 109.6% | rising |
| 3 | Ecuador | 241 1000 t | 2023 | up 15.9% | volatile |
| 4 | Colombia | 123 1000 t | 2023 | up 30.9% | rising |
| 5 | Myanmar | 121 1000 t | 2023 | — | volatile |
| 6 | Nicaragua | 63 1000 t | 2023 | up 133.3% | rising |
| 7 | Côte d'Ivoire | 60 1000 t | 2023 | — | volatile |
| 8 | Netherlands (Kingdom of the) | 25 1000 t | 2023 | up 316.7% | rising |
| 9 | Pakistan | 22 1000 t | 2023 | — | volatile |
| 10 | United Arab Emirates | 19 1000 t | 2023 | up 216.7% | volatile |
| 10 | Belgium | 19 1000 t | 2023 | down 47.2% | falling |
| 10 | Sri Lanka | 19 1000 t | 2023 | down 5.0% | rising |
| 13 | Indonesia | 16 1000 t | 2023 | up 166.7% | volatile |
| 14 | Mexico | 15 1000 t | 2023 | up 650.0% | volatile |
| 15 | Spain | 14 1000 t | 2023 | down 17.6% | volatile |
| 16 | Eswatini | 10 1000 t | 2023 | up 100.0% | volatile |
| 17 | Caribbean | 9 1000 t | 2023 | down 59.1% | volatile |
| 18 | Hungary | 8 1000 t | 2023 | down 20.0% | volatile |
| 19 | Dominican Republic | 7 1000 t | 2023 | down 66.7% | volatile |
| 20 | Uganda | 6 1000 t | 2023 | — | volatile |
| 21 | Greece | 5 1000 t | 2023 | up 150.0% | volatile |
| 21 | Lebanon | 5 1000 t | 2023 | down 37.5% | volatile |
| 21 | Saudi Arabia | 5 1000 t | 2023 | up 400.0% | volatile |
| 24 | Costa Rica | 4 1000 t | 2023 | up 33.3% | volatile |
| 24 | Egypt | 4 1000 t | 2023 | up 300.0% | volatile |
| 26 | France | 2 1000 t | 2023 | up 100.0% | volatile |
| 26 | Italy | 2 1000 t | 2023 | down 71.4% | volatile |
| 26 | Panama | 2 1000 t | 2023 | down 80.0% | volatile |
| 26 | Philippines | 2 1000 t | 2023 | down 99.2% | volatile |
| 26 | Portugal | 2 1000 t | 2023 | — | volatile |
| 31 | Bangladesh | 1 1000 t | 2023 | — | volatile |
| 31 | Ghana | 1 1000 t | 2023 | — | volatile |
| 31 | Honduras | 1 1000 t | 2023 | unchanged | volatile |
| 31 | Oman | 1 1000 t | 2023 | unchanged | flat |
| 31 | Saint Vincent and the Grenadines | 1 1000 t | 2023 | — | volatile |
| 31 | Venezuela (Bolivarian Republic of) | 1 1000 t | 2023 | down 50.0% | volatile |
| 31 | China, mainland | 1 1000 t | 2019 | — | volatile |
| 38 | Afghanistan | 0 1000 t | 2023 | — | flat |
| 38 | Angola | 0 1000 t | 2022 | — | volatile |
| 38 | Australia | 0 1000 t | 2023 | — | flat |
| 38 | Austria | 0 1000 t | 2023 | — | flat |
| 38 | Bulgaria | 0 1000 t | 2023 | down 100.0% | volatile |
| 38 | Bahrain | 0 1000 t | 2023 | — | volatile |
| 38 | Brazil | 0 1000 t | 2023 | down 100.0% | volatile |
| 38 | Barbados | 0 1000 t | 2018 | — | flat |
| 38 | Botswana | 0 1000 t | 2023 | — | flat |
| 38 | Canada | 0 1000 t | 2023 | — | flat |
| 38 | Switzerland | 0 1000 t | 2023 | — | flat |
| 38 | Chile | 0 1000 t | 2023 | — | flat |
| 38 | China | 0 1000 t | 2023 | — | volatile |
| 38 | Cameroon | 0 1000 t | 2023 | — | volatile |
| 38 | Cyprus | 0 1000 t | 2020 | — | flat |
| 38 | Czechia | 0 1000 t | 2023 | — | flat |
| 38 | Germany | 0 1000 t | 2023 | — | volatile |
| 38 | Denmark | 0 1000 t | 2023 | — | flat |
| 38 | Estonia | 0 1000 t | 2023 | — | flat |
| 38 | Finland | 0 1000 t | 2017 | — | flat |
| 38 | Fiji | 0 1000 t | 2023 | — | flat |
| 38 | Georgia | 0 1000 t | 2022 | — | flat |
| 38 | Grenada | 0 1000 t | 2019 | — | flat |
| 38 | Guyana | 0 1000 t | 2023 | — | flat |
| 38 | Croatia | 0 1000 t | 2023 | — | flat |
| 38 | India | 0 1000 t | 2023 | — | volatile |
| 38 | Ireland | 0 1000 t | 2023 | down 100.0% | volatile |
| 38 | Iceland | 0 1000 t | 2023 | — | flat |
| 38 | Jamaica | 0 1000 t | 2023 | — | flat |
| 38 | Jordan | 0 1000 t | 2022 | — | volatile |
| 38 | Kazakhstan | 0 1000 t | 2018 | — | flat |
| 38 | Kenya | 0 1000 t | 2023 | — | flat |
| 38 | Cambodia | 0 1000 t | 2023 | — | volatile |
| 38 | Kuwait | 0 1000 t | 2014 | — | flat |
| 38 | Saint Lucia | 0 1000 t | 2023 | — | volatile |
| 38 | Lithuania | 0 1000 t | 2023 | down 100.0% | volatile |
| 38 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 38 | Latvia | 0 1000 t | 2022 | — | flat |
| 38 | Morocco | 0 1000 t | 2023 | — | flat |
| 38 | Madagascar | 0 1000 t | 2023 | — | flat |
| 38 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 38 | Montenegro | 0 1000 t | 2023 | — | flat |
| 38 | Mozambique | 0 1000 t | 2023 | down 100.0% | volatile |
| 38 | Malawi | 0 1000 t | 2023 | — | flat |
| 38 | Malaysia | 0 1000 t | 2023 | — | flat |
| 38 | Namibia | 0 1000 t | 2023 | — | flat |
| 38 | Nigeria | 0 1000 t | 2023 | — | flat |
| 38 | New Zealand | 0 1000 t | 2023 | — | flat |
| 38 | Peru | 0 1000 t | 2023 | — | volatile |
| 38 | Poland | 0 1000 t | 2023 | down 100.0% | volatile |
| 38 | Paraguay | 0 1000 t | 2022 | — | flat |
| 38 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 38 | Romania | 0 1000 t | 2021 | down 100.0% | volatile |
| 38 | Rwanda | 0 1000 t | 2023 | — | flat |
| 38 | El Salvador | 0 1000 t | 2023 | down 100.0% | volatile |
| 38 | Serbia | 0 1000 t | 2023 | — | flat |
| 38 | Slovakia | 0 1000 t | 2023 | — | volatile |
| 38 | Slovenia | 0 1000 t | 2021 | — | flat |
| 38 | Sweden | 0 1000 t | 2023 | — | flat |
| 38 | Thailand | 0 1000 t | 2023 | — | flat |
| 38 | Tonga | 0 1000 t | 2023 | — | flat |
| 38 | Trinidad and Tobago | 0 1000 t | 2022 | — | flat |
| 38 | Uruguay | 0 1000 t | 2023 | — | flat |
| 38 | Samoa | 0 1000 t | 2023 | — | flat |
| 38 | Yemen | 0 1000 t | 2023 | — | flat |
| 38 | Zambia | 0 1000 t | 2023 | — | flat |
| 38 | Zimbabwe | 0 1000 t | 2022 | — | volatile |
| 38 | Melanesia | 0 1000 t | 2023 | — | flat |
| 38 | Polynesia | 0 1000 t | 2023 | — | flat |
| 38 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 38 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | volatile |
| 38 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | flat |
| 38 | Republic of Moldova | 0 1000 t | 2022 | — | flat |
| 38 | Russian Federation | 0 1000 t | 2023 | — | flat |
| 38 | Viet Nam | 0 1000 t | 2023 | — | volatile |
| 38 | Türkiye | 0 1000 t | 2023 | — | flat |
| 38 | Australia and New Zealand | 0 1000 t | 2023 | — | flat |
| 38 | United Republic of Tanzania | 0 1000 t | 2023 | — | volatile |
| 38 | China, Taiwan Province of | 0 1000 t | 2022 | — | flat |
| 38 | United Kingdom of Great Britain and Northern Ireland | 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 1,819 1000 t
- Net Food Importing Developing Countries (NFIDCs) 891 1000 t
- Asia 848 1000 t
- Americas 797 1000 t
- South-eastern Asia 775 1000 t
- Least Developed Countries (LDCs) 764 1000 t
- Land Locked Developing Countries (LLDCs) 652 1000 t
- Central America 392 1000 t
- South America 366 1000 t
- Africa 93 1000 t
- European Union (27) 80 1000 t
- Europe 80 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.