Plantains and cooking bananas — Revealed comparative advantage index by country
The food and agricultural trade indicators dataset is based on trade, production and gross domestic product (GDP) data. Agri-food trade data are collected, processed and disseminated by FAO according to the standard International Merchandise Trade Statistics (IMTS) Methodology. The data is mainly provided by UNSD,...
What the numbers show
Plantains and cooking bananas — Revealed comparative advantage index is currently reported for 93 countries. The highest value is 474.54 in Dominica; the lowest is 0 in Malawi.
The median across all reporting countries is 0.05, and the mean is 7.8.
Over the past decade 20 countries rose and 44 fell. The largest increase was in Burundi (up 6,900.0%), and the largest decrease in Chile (down 100.0%).
Plantains and cooking bananas — Revealed comparative advantage index: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Dominica | 474.54 | 2023 | down 18.4% | rising |
| 2 | Myanmar | 61.68 | 2024 | up 1,077.1% | volatile |
| 3 | Guatemala | 42.14 | 2024 | up 12.0% | rising |
| 4 | Ecuador | 32.54 | 2024 | down 42.7% | volatile |
| 5 | Colombia | 22.57 | 2024 | down 14.3% | falling |
| 6 | Nicaragua | 16.7 | 2023 | up 41.6% | falling |
| 7 | Panama | 10.44 | 2024 | down 76.4% | volatile |
| 8 | Saint Lucia | 9.53 | 2020 | — | falling |
| 9 | Eswatini | 9.04 | 2024 | up 273.6% | volatile |
| 10 | Sri Lanka | 8.22 | 2024 | down 55.4% | falling |
| 11 | Lebanon | 4.16 | 2024 | down 69.5% | volatile |
| 12 | Uganda | 3.87 | 2024 | up 209.6% | volatile |
| 13 | Honduras | 3.68 | 2024 | up 283.3% | volatile |
| 14 | Saudi Arabia | 3.67 | 2024 | up 342.2% | volatile |
| 15 | Hungary | 2.42 | 2024 | up 210.3% | volatile |
| 16 | United Arab Emirates | 1.85 | 2023 | up 85.0% | volatile |
| 17 | Greece | 1.84 | 2024 | up 109.1% | volatile |
| 18 | Costa Rica | 1.48 | 2024 | down 3.9% | volatile |
| 19 | Dominican Republic | 1.44 | 2024 | down 92.6% | volatile |
| 20 | Netherlands (Kingdom of the) | 1.31 | 2024 | up 367.9% | volatile |
| 21 | Belgium | 1.28 | 2024 | down 43.1% | volatile |
| 22 | Pakistan | 1.09 | 2024 | up 3,533.3% | volatile |
| 23 | Egypt | 1.03 | 2024 | up 119.1% | volatile |
| 24 | South Africa | 0.93 | 2024 | down 61.1% | volatile |
| 25 | Philippines | 0.71 | 2024 | — | volatile |
| 26 | Burundi | 0.7 | 2022 | up 6,900.0% | volatile |
| 26 | Mexico | 0.7 | 2024 | down 48.5% | volatile |
| 28 | Cameroon | 0.63 | 2023 | up 425.0% | volatile |
| 29 | Ireland | 0.5 | 2024 | down 82.7% | volatile |
| 30 | Jamaica | 0.47 | 2023 | up 571.4% | volatile |
| 31 | Spain | 0.44 | 2024 | down 83.9% | volatile |
| 32 | Portugal | 0.41 | 2024 | — | volatile |
| 33 | Ghana | 0.36 | 2023 | up 71.4% | volatile |
| 34 | Angola | 0.33 | 2024 | — | volatile |
| 35 | Italy | 0.28 | 2024 | down 70.5% | volatile |
| 36 | Cambodia | 0.19 | 2024 | — | volatile |
| 37 | Indonesia | 0.18 | 2024 | down 87.2% | volatile |
| 38 | Bahrain | 0.15 | 2023 | down 79.7% | volatile |
| 38 | France | 0.15 | 2024 | up 87.5% | volatile |
| 40 | Iceland | 0.14 | 2024 | — | volatile |
| 41 | Samoa | 0.13 | 2024 | down 92.4% | volatile |
| 42 | Oman | 0.12 | 2023 | down 93.8% | volatile |
| 43 | Trinidad and Tobago | 0.08 | 2024 | up 700.0% | volatile |
| 44 | Croatia | 0.06 | 2024 | down 14.3% | volatile |
| 44 | Guyana | 0.06 | 2024 | down 33.3% | volatile |
| 46 | El Salvador | 0.05 | 2024 | down 99.0% | volatile |
| 46 | Denmark | 0.05 | 2024 | unchanged | volatile |
| 46 | Kuwait | 0.05 | 2019 | — | volatile |
| 46 | Fiji | 0.05 | 2024 | down 28.6% | volatile |
| 46 | Jordan | 0.05 | 2022 | down 94.2% | volatile |
| 51 | Slovenia | 0.04 | 2024 | — | volatile |
| 51 | Zambia | 0.04 | 2024 | — | volatile |
| 51 | United Kingdom of Great Britain and Northern Ireland | 0.04 | 2024 | down 88.9% | volatile |
| 51 | India | 0.04 | 2024 | up 300.0% | volatile |
| 51 | Bulgaria | 0.04 | 2024 | down 92.3% | volatile |
| 56 | Cyprus | 0.03 | 2024 | down 25.0% | volatile |
| 56 | Montenegro | 0.03 | 2024 | down 25.0% | volatile |
| 56 | Zimbabwe | 0.03 | 2022 | — | volatile |
| 59 | Slovakia | 0.02 | 2024 | down 98.0% | volatile |
| 59 | Lithuania | 0.02 | 2024 | down 89.5% | volatile |
| 59 | Morocco | 0.02 | 2023 | — | volatile |
| 59 | Uruguay | 0.02 | 2023 | — | volatile |
| 59 | North Macedonia | 0.02 | 2024 | down 94.3% | volatile |
| 64 | Kazakhstan | 0.01 | 2018 | — | volatile |
| 64 | Thailand | 0.01 | 2024 | unchanged | volatile |
| 64 | Czechia | 0.01 | 2024 | down 93.8% | volatile |
| 64 | Sweden | 0.01 | 2024 | down 66.7% | volatile |
| 64 | Germany | 0.01 | 2024 | down 66.7% | volatile |
| 64 | Estonia | 0.01 | 2024 | down 50.0% | volatile |
| 64 | Namibia | 0.01 | 2023 | down 50.0% | volatile |
| 64 | Poland | 0.01 | 2024 | down 94.4% | volatile |
| 64 | Peru | 0.01 | 2024 | unchanged | volatile |
| 73 | Russian Federation | 0 | 2021 | — | volatile |
| 73 | Chile | 0 | 2024 | down 100.0% | volatile |
| 73 | China, mainland | 0 | 2024 | — | volatile |
| 73 | Botswana | 0 | 2023 | — | volatile |
| 73 | Brazil | 0 | 2024 | down 100.0% | volatile |
| 73 | Bosnia and Herzegovina | 0 | 2024 | — | volatile |
| 73 | Austria | 0 | 2024 | — | volatile |
| 73 | Australia | 0 | 2024 | — | volatile |
| 73 | Yemen | 0 | 2015 | — | volatile |
| 73 | Georgia | 0 | 2024 | down 100.0% | volatile |
| 73 | Kenya | 0 | 2023 | — | volatile |
| 73 | Serbia | 0 | 2024 | down 100.0% | volatile |
| 73 | Latvia | 0 | 2024 | down 100.0% | volatile |
| 73 | Singapore | 0 | 2024 | — | volatile |
| 73 | Senegal | 0 | 2023 | — | volatile |
| 73 | Rwanda | 0 | 2022 | — | volatile |
| 73 | Romania | 0 | 2024 | down 100.0% | volatile |
| 73 | Paraguay | 0 | 2022 | down 100.0% | volatile |
| 73 | Madagascar | 0 | 2023 | down 100.0% | volatile |
| 73 | Mozambique | 0 | 2024 | — | volatile |
| 73 | Malawi | 0 | 2023 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
About this data
The food and agricultural trade indicators dataset is based on trade, production and gross domestic product (GDP) data. Agri-food trade data are collected, processed and disseminated by FAO according to the standard International Merchandise Trade Statistics (IMTS) Methodology. The data is mainly provided by UNSD, Eurostat, and other national authorities as needed. The source data is checked for outliers, trade partner data is used for non-reporting countries or missing cells, and data on food aid is added to take total cross-border trade flows into account. The trade database includes the following variables: export quantity, export value, import quantity, and import value. It includes all food and agricultural products imported/exported annually by all countries in the world. Production data details are available at https://www.fao.org/faostat/en/#data/QCL and GDP data details are available at https://www.fao.org/faostat/en/#data/MK