Oranges — 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
Oranges — Revealed comparative advantage index is currently reported for 129 countries. The highest value is 40.2 in Bhutan; the lowest is 0 in Republic of Korea.
The median across all reporting countries is 0.06, and the mean is 1.17.
Over the past decade 38 countries rose and 58 fell. The largest increase was in Iran (Islamic Republic of) (up 4,855.6%), and the largest decrease in Republic of Moldova (down 100.0%).
Oranges — Revealed comparative advantage index: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Bhutan | 40.2 | 2023 | down 35.1% | falling |
| 1 | Iran (Islamic Republic of) | 4.46 | 2022 | up 4,855.6% | volatile |
| 2 | Egypt | 31.12 | 2024 | up 7.0% | rising |
| 2 | Türkiye | 1.61 | 2024 | down 58.2% | falling |
| 2 | Côte d'Ivoire | 0.01 | 2024 | — | volatile |
| 3 | South Africa | 20.26 | 2024 | down 9.1% | falling |
| 3 | Venezuela (Bolivarian Republic of) | 0.07 | 2023 | down 41.7% | volatile |
| 3 | Cabo Verde | 0 | 2023 | — | volatile |
| 4 | Greece | 7.39 | 2024 | down 25.1% | falling |
| 4 | Lao People's Democratic Republic | 0.04 | 2023 | down 50.0% | volatile |
| 5 | Spain | 5.93 | 2024 | down 37.1% | falling |
| 5 | Viet Nam | 0.01 | 2023 | — | volatile |
| 5 | United Republic of Tanzania | 0.01 | 2024 | down 85.7% | volatile |
| 6 | Portugal | 3.76 | 2024 | down 2.3% | rising |
| 7 | China, Hong Kong SAR | 2.38 | 2024 | up 10.2% | rising |
| 7 | Republic of Moldova | 0 | 2023 | down 100.0% | volatile |
| 8 | Eswatini | 2.27 | 2024 | up 16.4% | falling |
| 9 | Chile | 2.18 | 2024 | up 31.3% | rising |
| 10 | Morocco | 2.15 | 2023 | down 70.3% | falling |
| 11 | Zimbabwe | 1.78 | 2024 | up 54.8% | rising |
| 12 | United Arab Emirates | 1.7 | 2023 | up 178.7% | rising |
| 12 | Australia | 1.7 | 2024 | up 37.1% | rising |
| 14 | Slovenia | 1.64 | 2024 | up 57.7% | rising |
| 15 | Lebanon | 1.5 | 2024 | down 59.7% | falling |
| 16 | Cyprus | 1.18 | 2024 | down 55.5% | falling |
| 17 | Nicaragua | 1.13 | 2023 | up 28.4% | rising |
| 18 | Uruguay | 1.08 | 2023 | down 30.8% | falling |
| 19 | Yemen | 0.98 | 2018 | — | volatile |
| 20 | Netherlands (Kingdom of the) | 0.95 | 2024 | up 23.4% | rising |
| 21 | China, mainland | 0.84 | 2024 | up 7.7% | rising |
| 22 | Italy | 0.76 | 2024 | down 10.6% | falling |
| 23 | Saudi Arabia | 0.73 | 2024 | up 78.0% | rising |
| 24 | Samoa | 0.63 | 2024 | up 270.6% | volatile |
| 25 | Dominica | 0.61 | 2023 | down 94.5% | volatile |
| 26 | Tunisia | 0.58 | 2023 | down 72.9% | falling |
| 27 | Croatia | 0.55 | 2024 | up 161.9% | volatile |
| 28 | Belize | 0.51 | 2022 | up 1,600.0% | volatile |
| 28 | Uganda | 0.51 | 2024 | up 240.0% | volatile |
| 30 | Georgia | 0.5 | 2024 | down 5.7% | volatile |
| 31 | Dominican Republic | 0.46 | 2024 | up 24.3% | rising |
| 32 | Albania | 0.4 | 2024 | up 1,233.3% | volatile |
| 32 | Brunei Darussalam | 0.4 | 2023 | — | volatile |
| 34 | Peru | 0.38 | 2024 | up 46.2% | rising |
| 35 | Lithuania | 0.32 | 2024 | down 76.8% | volatile |
| 36 | Kuwait | 0.31 | 2023 | down 92.6% | volatile |
| 37 | Jordan | 0.3 | 2023 | down 76.7% | volatile |
| 38 | Latvia | 0.28 | 2024 | down 15.2% | falling |
| 39 | Mexico | 0.27 | 2024 | down 3.6% | rising |
| 40 | Oman | 0.24 | 2023 | up 41.2% | volatile |
| 41 | Colombia | 0.22 | 2024 | up 22.2% | volatile |
| 42 | France | 0.2 | 2024 | up 11.1% | rising |
| 43 | Argentina | 0.18 | 2024 | down 28.0% | falling |
| 43 | Jamaica | 0.18 | 2023 | down 82.2% | volatile |
| 45 | India | 0.17 | 2024 | up 240.0% | volatile |
| 45 | Luxembourg | 0.17 | 2024 | up 240.0% | volatile |
| 47 | Honduras | 0.15 | 2024 | down 50.0% | volatile |
| 47 | Mali | 0.15 | 2023 | up 650.0% | volatile |
| 47 | Qatar | 0.15 | 2015 | down 74.6% | falling |
| 50 | Singapore | 0.14 | 2024 | down 58.8% | falling |
| 51 | Ghana | 0.12 | 2023 | up 100.0% | volatile |
| 52 | Bosnia and Herzegovina | 0.11 | 2024 | — | volatile |
| 52 | Sweden | 0.11 | 2024 | up 1,000.0% | volatile |
| 54 | Austria | 0.1 | 2024 | down 23.1% | falling |
| 54 | Bulgaria | 0.1 | 2024 | up 66.7% | rising |
| 56 | Czechia | 0.08 | 2024 | down 72.4% | volatile |
| 56 | Germany | 0.08 | 2024 | down 27.3% | falling |
| 58 | Belgium | 0.07 | 2024 | down 58.8% | falling |
| 58 | Bahrain | 0.07 | 2023 | down 58.8% | volatile |
| 58 | Fiji | 0.07 | 2024 | up 600.0% | volatile |
| 61 | Angola | 0.06 | 2024 | — | volatile |
| 61 | Burundi | 0.06 | 2023 | up 100.0% | volatile |
| 61 | Kenya | 0.06 | 2023 | up 200.0% | volatile |
| 64 | Poland | 0.05 | 2024 | down 50.0% | falling |
| 64 | Slovakia | 0.05 | 2024 | down 50.0% | rising |
| 66 | Benin | 0.04 | 2024 | — | volatile |
| 66 | Finland | 0.04 | 2024 | — | volatile |
| 66 | Iceland | 0.04 | 2024 | up 33.3% | volatile |
| 66 | Panama | 0.04 | 2024 | — | volatile |
| 66 | Suriname | 0.04 | 2024 | — | volatile |
| 66 | Russian Federation | 0.04 | 2021 | down 33.3% | falling |
| 72 | Belarus | 0.03 | 2021 | up 200.0% | volatile |
| 72 | Denmark | 0.03 | 2024 | down 50.0% | flat |
| 72 | Ethiopia | 0.03 | 2023 | down 76.9% | falling |
| 72 | Ireland | 0.03 | 2024 | up 200.0% | falling |
| 72 | North Macedonia | 0.03 | 2024 | down 57.1% | volatile |
| 72 | Myanmar | 0.03 | 2024 | up 50.0% | volatile |
| 78 | Costa Rica | 0.02 | 2024 | up 100.0% | volatile |
| 78 | Hungary | 0.02 | 2024 | up 100.0% | volatile |
| 78 | Kazakhstan | 0.02 | 2024 | — | volatile |
| 78 | Malaysia | 0.02 | 2024 | down 33.3% | volatile |
| 78 | Pakistan | 0.02 | 2024 | down 60.0% | volatile |
| 78 | Thailand | 0.02 | 2024 | down 75.0% | volatile |
| 84 | Armenia | 0.01 | 2024 | — | volatile |
| 84 | Congo | 0.01 | 2020 | — | volatile |
| 84 | Algeria | 0.01 | 2017 | — | volatile |
| 84 | Estonia | 0.01 | 2024 | unchanged | volatile |
| 84 | Guatemala | 0.01 | 2024 | — | volatile |
| 84 | Cambodia | 0.01 | 2024 | — | volatile |
| 84 | Saint Lucia | 0.01 | 2020 | — | volatile |
| 84 | Sri Lanka | 0.01 | 2024 | — | volatile |
| 84 | Namibia | 0.01 | 2024 | down 92.9% | volatile |
| 84 | Norway | 0.01 | 2024 | down 91.7% | volatile |
| 84 | New Zealand | 0.01 | 2024 | down 50.0% | falling |
| 84 | Romania | 0.01 | 2024 | down 50.0% | volatile |
| 84 | Trinidad and Tobago | 0.01 | 2024 | unchanged | volatile |
| 84 | China, Taiwan Province of | 0.01 | 2024 | down 94.1% | volatile |
| 84 | United Kingdom of Great Britain and Northern Ireland | 0.01 | 2024 | down 94.1% | volatile |
| 99 | Azerbaijan | 0 | 2024 | — | volatile |
| 99 | Burkina Faso | 0 | 2021 | — | volatile |
| 99 | Brazil | 0 | 2024 | down 100.0% | volatile |
| 99 | Barbados | 0 | 2016 | down 100.0% | volatile |
| 99 | Switzerland | 0 | 2024 | — | volatile |
| 99 | Ecuador | 0 | 2024 | — | volatile |
| 99 | Guyana | 0 | 2018 | down 100.0% | volatile |
| 99 | Israel | 0 | 2024 | down 100.0% | volatile |
| 99 | Japan | 0 | 2024 | down 100.0% | volatile |
| 99 | Kyrgyzstan | 0 | 2023 | — | volatile |
| 99 | Malta | 0 | 2024 | — | volatile |
| 99 | Montenegro | 0 | 2024 | down 100.0% | volatile |
| 99 | Mozambique | 0 | 2024 | down 100.0% | volatile |
| 99 | Nepal | 0 | 2022 | — | volatile |
| 99 | Paraguay | 0 | 2021 | down 100.0% | volatile |
| 99 | Senegal | 0 | 2024 | — | volatile |
| 99 | El Salvador | 0 | 2023 | — | volatile |
| 99 | Serbia | 0 | 2024 | down 100.0% | volatile |
| 99 | Ukraine | 0 | 2024 | — | volatile |
| 99 | Saint Vincent and the Grenadines | 0 | 2023 | down 100.0% | volatile |
| 99 | Zambia | 0 | 2024 | — | volatile |
| 99 | Republic of Korea | 0 | 2024 | — | 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