Apples — 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
Apples — Revealed comparative advantage index is currently reported for 129 countries. The highest value is 12.15 in Iran (Islamic Republic of); the lowest is 0 in China, Taiwan Province of.
The median across all reporting countries is 0.04, and the mean is 0.8559.
Over the past decade 33 countries rose and 46 fell. The largest increase was in Armenia (up 6,300.0%), and the largest decrease in Antigua and Barbuda (down 100.0%).
Apples — Revealed comparative advantage index: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Iran (Islamic Republic of) | 12.15 | 2022 | up 169.4% | rising |
| 2 | Azerbaijan | 11.86 | 2024 | up 145.0% | rising |
| 3 | Republic of Moldova | 11.69 | 2024 | up 170.6% | rising |
| 4 | Chile | 10.41 | 2024 | down 20.6% | falling |
| 5 | North Macedonia | 6.73 | 2024 | up 35.7% | rising |
| 6 | New Zealand | 5.25 | 2024 | up 69.4% | rising |
| 7 | Japan | 5.17 | 2024 | up 9.3% | rising |
| 8 | Serbia | 5.09 | 2024 | up 3.9% | rising |
| 9 | Italy | 3.83 | 2024 | down 5.7% | falling |
| 10 | Lebanon | 3.75 | 2024 | up 28.4% | volatile |
| 11 | China, mainland | 3.54 | 2024 | down 8.8% | rising |
| 12 | Bhutan | 3.49 | 2023 | down 21.6% | volatile |
| 13 | Afghanistan | 2.56 | 2019 | up 495.3% | volatile |
| 14 | Poland | 2.31 | 2024 | down 25.5% | falling |
| 15 | China, Hong Kong SAR | 1.69 | 2024 | up 42.0% | rising |
| 16 | Türkiye | 1.53 | 2024 | up 247.7% | volatile |
| 17 | United Arab Emirates | 1.49 | 2023 | up 132.8% | rising |
| 17 | Bosnia and Herzegovina | 1.49 | 2024 | down 3.2% | rising |
| 19 | France | 1.36 | 2024 | down 26.9% | falling |
| 20 | Portugal | 1.33 | 2024 | up 64.2% | rising |
| 21 | Uzbekistan | 1.08 | 2024 | up 66.2% | volatile |
| 22 | Belarus | 0.98 | 2021 | down 24.6% | volatile |
| 22 | Kyrgyzstan | 0.98 | 2024 | down 86.3% | volatile |
| 24 | Croatia | 0.94 | 2024 | unchanged | rising |
| 25 | Georgia | 0.88 | 2024 | up 417.6% | volatile |
| 26 | Slovakia | 0.78 | 2024 | up 11.4% | falling |
| 27 | Greece | 0.75 | 2024 | down 42.3% | falling |
| 28 | Armenia | 0.64 | 2024 | up 6,300.0% | volatile |
| 29 | Austria | 0.52 | 2024 | down 51.4% | falling |
| 30 | Albania | 0.44 | 2024 | down 84.5% | volatile |
| 31 | Netherlands (Kingdom of the) | 0.43 | 2024 | down 10.4% | falling |
| 32 | Argentina | 0.37 | 2024 | down 47.1% | falling |
| 33 | Spain | 0.36 | 2024 | down 18.2% | falling |
| 34 | Slovenia | 0.34 | 2024 | down 72.1% | volatile |
| 35 | Belgium | 0.31 | 2024 | down 49.2% | falling |
| 36 | Hungary | 0.28 | 2024 | up 75.0% | rising |
| 36 | Saudi Arabia | 0.28 | 2024 | up 300.0% | rising |
| 38 | Samoa | 0.26 | 2024 | up 73.3% | volatile |
| 39 | Latvia | 0.25 | 2024 | unchanged | falling |
| 40 | Ukraine | 0.21 | 2024 | up 250.0% | volatile |
| 41 | Canada | 0.18 | 2024 | up 20.0% | rising |
| 42 | Kazakhstan | 0.17 | 2024 | — | volatile |
| 43 | Jordan | 0.14 | 2023 | down 56.2% | volatile |
| 44 | Czechia | 0.12 | 2024 | down 63.6% | falling |
| 44 | Germany | 0.12 | 2024 | down 20.0% | falling |
| 44 | Namibia | 0.12 | 2024 | up 9.1% | volatile |
| 44 | Singapore | 0.12 | 2024 | down 50.0% | falling |
| 48 | Bahrain | 0.09 | 2023 | down 81.2% | volatile |
| 48 | Congo | 0.09 | 2023 | — | volatile |
| 48 | Kuwait | 0.09 | 2023 | down 85.0% | volatile |
| 48 | Luxembourg | 0.09 | 2024 | up 50.0% | rising |
| 52 | Ireland | 0.08 | 2024 | down 11.1% | falling |
| 52 | Oman | 0.08 | 2023 | down 42.9% | falling |
| 52 | Tajikistan | 0.08 | 2023 | up 166.7% | volatile |
| 52 | United Kingdom of Great Britain and Northern Ireland | 0.08 | 2024 | down 11.1% | falling |
| 56 | India | 0.07 | 2024 | up 133.3% | rising |
| 56 | Brunei Darussalam | 0.07 | 2023 | — | volatile |
| 58 | Denmark | 0.05 | 2024 | unchanged | rising |
| 58 | Sweden | 0.05 | 2024 | down 44.4% | rising |
| 58 | United Republic of Tanzania | 0.05 | 2024 | — | volatile |
| 61 | Kenya | 0.04 | 2023 | up 300.0% | volatile |
| 61 | Lithuania | 0.04 | 2024 | down 97.5% | volatile |
| 61 | Qatar | 0.04 | 2015 | down 91.8% | volatile |
| 61 | Republic of Korea | 0.04 | 2024 | down 77.8% | volatile |
| 61 | Russian Federation | 0.04 | 2021 | up 300.0% | volatile |
| 66 | Fiji | 0.03 | 2024 | — | volatile |
| 66 | Malaysia | 0.03 | 2024 | up 50.0% | volatile |
| 66 | Niger | 0.03 | 2020 | — | volatile |
| 66 | Thailand | 0.03 | 2024 | — | volatile |
| 66 | Trinidad and Tobago | 0.03 | 2024 | down 40.0% | volatile |
| 66 | Uruguay | 0.03 | 2023 | up 200.0% | volatile |
| 72 | Australia | 0.02 | 2024 | unchanged | falling |
| 72 | Brazil | 0.02 | 2024 | down 71.4% | falling |
| 72 | Costa Rica | 0.02 | 2024 | up 100.0% | volatile |
| 72 | Finland | 0.02 | 2024 | up 100.0% | volatile |
| 72 | Guatemala | 0.02 | 2024 | up 100.0% | volatile |
| 72 | Iceland | 0.02 | 2024 | down 77.8% | falling |
| 72 | Pakistan | 0.02 | 2024 | unchanged | volatile |
| 72 | Uganda | 0.02 | 2024 | down 33.3% | volatile |
| 80 | Angola | 0.01 | 2024 | down 83.3% | volatile |
| 80 | Burkina Faso | 0.01 | 2019 | — | volatile |
| 80 | Bulgaria | 0.01 | 2024 | down 66.7% | volatile |
| 80 | Colombia | 0.01 | 2024 | unchanged | falling |
| 80 | Egypt | 0.01 | 2024 | — | volatile |
| 80 | Morocco | 0.01 | 2023 | unchanged | volatile |
| 80 | Mexico | 0.01 | 2024 | — | volatile |
| 80 | Norway | 0.01 | 2024 | down 66.7% | volatile |
| 80 | Romania | 0.01 | 2024 | down 83.3% | volatile |
| 80 | Senegal | 0.01 | 2024 | — | volatile |
| 80 | El Salvador | 0.01 | 2024 | unchanged | volatile |
| 80 | Tunisia | 0.01 | 2023 | down 50.0% | volatile |
| 80 | Zambia | 0.01 | 2024 | — | volatile |
| 93 | Antigua and Barbuda | 0 | 2024 | down 100.0% | volatile |
| 93 | Benin | 0 | 2022 | — | volatile |
| 93 | Barbados | 0 | 2014 | — | flat |
| 93 | Botswana | 0 | 2023 | down 100.0% | volatile |
| 93 | Switzerland | 0 | 2024 | down 100.0% | volatile |
| 93 | Cameroon | 0 | 2023 | — | flat |
| 93 | Cyprus | 0 | 2024 | — | volatile |
| 93 | Dominican Republic | 0 | 2022 | — | volatile |
| 93 | Algeria | 0 | 2017 | — | flat |
| 93 | Ecuador | 0 | 2014 | — | volatile |
| 93 | Estonia | 0 | 2024 | — | volatile |
| 93 | Ethiopia | 0 | 2022 | — | flat |
| 93 | Ghana | 0 | 2023 | — | flat |
| 93 | Guyana | 0 | 2024 | — | flat |
| 93 | Honduras | 0 | 2019 | — | volatile |
| 93 | Indonesia | 0 | 2024 | — | flat |
| 93 | Israel | 0 | 2016 | down 100.0% | volatile |
| 93 | Jamaica | 0 | 2023 | — | volatile |
| 93 | Cambodia | 0 | 2017 | — | volatile |
| 93 | Sri Lanka | 0 | 2023 | — | flat |
| 93 | Madagascar | 0 | 2020 | — | flat |
| 93 | Malta | 0 | 2024 | — | volatile |
| 93 | Myanmar | 0 | 2022 | — | volatile |
| 93 | Montenegro | 0 | 2024 | — | volatile |
| 93 | Mozambique | 0 | 2024 | — | flat |
| 93 | Nepal | 0 | 2018 | down 100.0% | volatile |
| 93 | Peru | 0 | 2024 | down 100.0% | volatile |
| 93 | Philippines | 0 | 2022 | — | flat |
| 93 | Rwanda | 0 | 2022 | — | volatile |
| 93 | Togo | 0 | 2022 | — | volatile |
| 93 | Yemen | 0 | 2014 | — | volatile |
| 93 | Zimbabwe | 0 | 2023 | down 100.0% | volatile |
| 93 | Cabo Verde | 0 | 2023 | — | flat |
| 93 | Venezuela (Bolivarian Republic of) | 0 | 2023 | — | flat |
| 93 | Viet Nam | 0 | 2023 | — | flat |
| 93 | Côte d'Ivoire | 0 | 2024 | — | volatile |
| 93 | China, Taiwan Province of | 0 | 2024 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- South Africa 10.72
- United States of America 1.54
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