Plantains — Import 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 — Import quantity is currently reported for 91 countries. The highest value is 439 1000 t in United States; the lowest is 0 1000 t in Australia and New Zealand.
The median across all reporting countries is 1 1000 t, and the mean is 15.24 1000 t.
Over the past decade 19 countries rose and 35 fell. The largest increase was in Germany (up 700.0%), and the largest decrease in Austria (down 100.0%).
Plantains — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | United States | 439 1000 t | 2023 | up 42.5% | rising |
| 2 | Saudi Arabia | 184 1000 t | 2023 | up 61.4% | volatile |
| 3 | El Salvador | 60 1000 t | 2023 | down 13.0% | rising |
| 4 | Romania | 57 1000 t | 2023 | up 21.3% | rising |
| 5 | Honduras | 47 1000 t | 2023 | up 135.0% | rising |
| 6 | Spain | 45 1000 t | 2023 | down 2.2% | rising |
| 7 | Netherlands (Kingdom of the) | 43 1000 t | 2023 | up 79.2% | flat |
| 8 | Belgium | 39 1000 t | 2023 | down 25.0% | falling |
| 9 | United Kingdom | 34 1000 t | 2023 | up 17.2% | rising |
| 9 | United Kingdom of Great Britain and Northern Ireland | 34 1000 t | 2023 | up 17.2% | rising |
| 11 | France | 31 1000 t | 2023 | down 22.5% | rising |
| 12 | Canada | 28 1000 t | 2023 | up 86.7% | rising |
| 13 | Italy | 27 1000 t | 2023 | up 35.0% | rising |
| 14 | Hungary | 26 1000 t | 2023 | up 85.7% | volatile |
| 14 | North Macedonia | 26 1000 t | 2023 | up 73.3% | rising |
| 16 | Qatar | 24 1000 t | 2023 | — | falling |
| 17 | Bulgaria | 23 1000 t | 2023 | up 666.7% | volatile |
| 18 | Afghanistan | 22 1000 t | 2023 | — | volatile |
| 19 | United Arab Emirates | 19 1000 t | 2023 | down 47.2% | rising |
| 20 | Bahrain | 13 1000 t | 2023 | — | falling |
| 20 | Colombia | 13 1000 t | 2023 | down 27.8% | volatile |
| 20 | Senegal | 13 1000 t | 2023 | — | volatile |
| 23 | Burkina Faso | 12 1000 t | 2023 | — | volatile |
| 23 | Chile | 12 1000 t | 2023 | unchanged | volatile |
| 23 | Slovakia | 12 1000 t | 2023 | up 50.0% | rising |
| 26 | South Africa | 10 1000 t | 2023 | down 89.5% | volatile |
| 27 | Germany | 8 1000 t | 2023 | up 700.0% | volatile |
| 27 | Mauritania | 8 1000 t | 2023 | — | volatile |
| 29 | Costa Rica | 7 1000 t | 2023 | up 600.0% | volatile |
| 29 | Montenegro | 7 1000 t | 2023 | up 600.0% | volatile |
| 31 | Haiti | 6 1000 t | 2021 | down 76.9% | volatile |
| 31 | Malawi | 6 1000 t | 2023 | — | volatile |
| 31 | Syria | 6 1000 t | 2023 | down 45.5% | volatile |
| 31 | Syrian Arab Republic | 6 1000 t | 2023 | down 45.5% | volatile |
| 35 | Portugal | 5 1000 t | 2023 | up 25.0% | volatile |
| 36 | Guatemala | 4 1000 t | 2023 | up 300.0% | volatile |
| 37 | Oman | 3 1000 t | 2023 | down 57.1% | volatile |
| 37 | Caribbean | 3 1000 t | 2023 | down 50.0% | volatile |
| 39 | Argentina | 2 1000 t | 2023 | down 50.0% | volatile |
| 39 | Switzerland | 2 1000 t | 2023 | up 100.0% | volatile |
| 39 | Cyprus | 2 1000 t | 2023 | — | volatile |
| 39 | Czechia | 2 1000 t | 2023 | down 71.4% | volatile |
| 39 | Greece | 2 1000 t | 2023 | unchanged | volatile |
| 39 | Kuwait | 2 1000 t | 2023 | — | volatile |
| 39 | Namibia | 2 1000 t | 2023 | down 50.0% | volatile |
| 46 | Albania | 1 1000 t | 2015 | — | volatile |
| 46 | Bahamas | 1 1000 t | 2023 | — | volatile |
| 46 | Barbados | 1 1000 t | 2023 | unchanged | flat |
| 46 | Ireland | 1 1000 t | 2023 | down 94.1% | volatile |
| 46 | Iraq | 1 1000 t | 2023 | — | volatile |
| 46 | Iceland | 1 1000 t | 2023 | down 66.7% | volatile |
| 46 | Lesotho | 1 1000 t | 2023 | unchanged | volatile |
| 46 | Lithuania | 1 1000 t | 2023 | down 75.0% | falling |
| 46 | Luxembourg | 1 1000 t | 2023 | unchanged | volatile |
| 46 | Malaysia | 1 1000 t | 2023 | — | volatile |
| 46 | Uruguay | 1 1000 t | 2023 | unchanged | volatile |
| 57 | Armenia | 0 1000 t | 2022 | — | volatile |
| 57 | Austria | 0 1000 t | 2023 | down 100.0% | volatile |
| 57 | Azerbaijan | 0 1000 t | 2023 | — | volatile |
| 57 | Bosnia and Herzegovina | 0 1000 t | 2023 | down 100.0% | volatile |
| 57 | Belarus | 0 1000 t | 2021 | — | volatile |
| 57 | Botswana | 0 1000 t | 2023 | down 100.0% | volatile |
| 57 | Denmark | 0 1000 t | 2023 | down 100.0% | volatile |
| 57 | Dominican Republic | 0 1000 t | 2021 | — | volatile |
| 57 | Algeria | 0 1000 t | 2023 | — | volatile |
| 57 | Ecuador | 0 1000 t | 2023 | down 100.0% | volatile |
| 57 | Egypt | 0 1000 t | 2023 | down 100.0% | volatile |
| 57 | Finland | 0 1000 t | 2023 | — | volatile |
| 57 | Gabon | 0 1000 t | 2022 | — | volatile |
| 57 | Croatia | 0 1000 t | 2023 | — | volatile |
| 57 | Indonesia | 0 1000 t | 2021 | — | volatile |
| 57 | Jordan | 0 1000 t | 2023 | down 100.0% | volatile |
| 57 | Kazakhstan | 0 1000 t | 2023 | down 100.0% | volatile |
| 57 | Kenya | 0 1000 t | 2022 | — | volatile |
| 57 | Latvia | 0 1000 t | 2023 | down 100.0% | volatile |
| 57 | Morocco | 0 1000 t | 2023 | down 100.0% | volatile |
| 57 | Mexico | 0 1000 t | 2018 | — | volatile |
| 57 | Niger | 0 1000 t | 2023 | down 100.0% | volatile |
| 57 | Nicaragua | 0 1000 t | 2022 | — | volatile |
| 57 | New Zealand | 0 1000 t | 2023 | down 100.0% | volatile |
| 57 | Panama | 0 1000 t | 2022 | — | volatile |
| 57 | Poland | 0 1000 t | 2023 | down 100.0% | volatile |
| 57 | Rwanda | 0 1000 t | 2021 | — | volatile |
| 57 | Serbia | 0 1000 t | 2023 | — | volatile |
| 57 | Slovenia | 0 1000 t | 2023 | — | volatile |
| 57 | Sweden | 0 1000 t | 2023 | — | volatile |
| 57 | Eswatini | 0 1000 t | 2023 | down 100.0% | volatile |
| 57 | Trinidad and Tobago | 0 1000 t | 2022 | down 100.0% | volatile |
| 57 | Uganda | 0 1000 t | 2023 | — | volatile |
| 57 | Iran (Islamic Republic of) | 0 1000 t | 2023 | down 100.0% | volatile |
| 57 | 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 1,394 1000 t
- Americas 615 1000 t
- Northern America 467 1000 t
- United States of America 439 1000 t
- Europe 394 1000 t
- European Union (27) 326 1000 t
- Asia 281 1000 t
- Western Asia 256 1000 t
- Net Food Importing Developing Countries (NFIDCs) 224 1000 t
- Western Europe 123 1000 t
- Eastern Europe 121 1000 t
- Low Income Food Deficit Countries (LIFDCs) 119 1000 t
- Central America 117 1000 t
- Land Locked Developing Countries (LLDCs) 117 1000 t
- Least Developed Countries (LDCs) 113 1000 t
- Southern Europe 113 1000 t
- Africa 105 1000 t
- Western Africa 85 1000 t
- Northern Europe 38 1000 t
- South America 28 1000 t
- Southern Asia 22 1000 t
- Southern Africa 14 1000 t
- Eastern Africa 6 1000 t
- Small island developing States (SIDS) 3 1000 t
- Eastern Asia 1 1000 t
- South-Eastern Asia 1 1000 t
- Oceania 0 1000 t
- Central Asia 0 1000 t
- Northern Africa 0 1000 t
- Middle 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.