Cotton seed — 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
Cotton seed — Revealed comparative advantage index is currently reported for 90 countries. The highest value is 82.03 in Benin; the lowest is 0 in Nicaragua.
The median across all reporting countries is 0.045, and the mean is 3.15.
Over the past decade 17 countries rose and 29 fell. The largest increase was in Cameroon (up 11,733.3%), and the largest decrease in Bulgaria (down 100.0%).
Cotton seed — Revealed comparative advantage index: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Benin | 82.03 | 2024 | up 1,122.5% | volatile |
| 1 | Venezuela (Bolivarian Republic of) | 46.72 | 2016 | — | volatile |
| 2 | Greece | 24.36 | 2024 | down 46.5% | falling |
| 2 | Türkiye | 1.48 | 2024 | up 179.2% | flat |
| 2 | Côte d'Ivoire | 0.04 | 2022 | down 99.2% | volatile |
| 3 | Mozambique | 23.78 | 2024 | down 29.6% | volatile |
| 3 | United Republic of Tanzania | 0.57 | 2024 | up 2,750.0% | volatile |
| 4 | Togo | 21.39 | 2024 | down 45.9% | volatile |
| 4 | Lao People's Democratic Republic | 0.01 | 2022 | unchanged | volatile |
| 4 | Viet Nam | 0.01 | 2023 | — | volatile |
| 5 | Australia | 19.55 | 2024 | up 64.6% | volatile |
| 6 | Azerbaijan | 17.08 | 2024 | — | volatile |
| 6 | Iran (Islamic Republic of) | 0 | 2020 | — | volatile |
| 7 | Afghanistan | 6.5 | 2019 | — | volatile |
| 8 | Kazakhstan | 6.41 | 2024 | up 1,044.6% | volatile |
| 9 | Ethiopia | 4.56 | 2023 | up 484.6% | volatile |
| 10 | Niger | 4.3 | 2024 | up 6,042.9% | volatile |
| 11 | Cameroon | 3.55 | 2023 | up 11,733.3% | volatile |
| 12 | Uzbekistan | 3.03 | 2024 | up 1,022.2% | volatile |
| 13 | Kyrgyzstan | 2.4 | 2024 | — | volatile |
| 14 | Uganda | 2.16 | 2024 | up 10.2% | volatile |
| 15 | Israel | 1.91 | 2024 | down 65.1% | volatile |
| 16 | Kuwait | 1.51 | 2018 | — | volatile |
| 17 | Paraguay | 1.46 | 2024 | — | volatile |
| 18 | Malawi | 1.39 | 2024 | down 90.5% | volatile |
| 19 | Mali | 1.21 | 2022 | up 1,628.6% | volatile |
| 20 | Lebanon | 0.83 | 2024 | up 4,050.0% | volatile |
| 21 | Antigua and Barbuda | 0.56 | 2014 | — | volatile |
| 22 | Zambia | 0.45 | 2024 | down 97.9% | volatile |
| 23 | Eswatini | 0.38 | 2024 | down 86.5% | volatile |
| 24 | Republic of Korea | 0.32 | 2024 | — | volatile |
| 25 | Brazil | 0.29 | 2024 | down 74.3% | volatile |
| 26 | Namibia | 0.28 | 2024 | down 97.4% | volatile |
| 27 | China, mainland | 0.27 | 2024 | up 92.9% | volatile |
| 28 | Barbados | 0.23 | 2017 | — | volatile |
| 28 | Zimbabwe | 0.23 | 2024 | down 72.9% | volatile |
| 30 | Ghana | 0.2 | 2022 | down 61.5% | volatile |
| 31 | Malaysia | 0.19 | 2024 | — | volatile |
| 32 | Spain | 0.18 | 2024 | unchanged | volatile |
| 33 | Burkina Faso | 0.14 | 2024 | down 99.8% | volatile |
| 34 | Botswana | 0.13 | 2014 | — | volatile |
| 34 | India | 0.13 | 2024 | up 160.0% | volatile |
| 36 | Jordan | 0.11 | 2023 | — | volatile |
| 37 | Costa Rica | 0.1 | 2024 | down 95.5% | volatile |
| 37 | Italy | 0.1 | 2024 | up 100.0% | volatile |
| 39 | Nepal | 0.09 | 2019 | — | volatile |
| 39 | Indonesia | 0.09 | 2024 | up 350.0% | volatile |
| 41 | Slovakia | 0.08 | 2024 | — | volatile |
| 42 | Burundi | 0.05 | 2020 | — | volatile |
| 43 | Lithuania | 0.04 | 2024 | — | volatile |
| 43 | Morocco | 0.04 | 2015 | — | volatile |
| 43 | France | 0.04 | 2024 | up 300.0% | volatile |
| 46 | United Arab Emirates | 0.03 | 2023 | — | volatile |
| 46 | Netherlands (Kingdom of the) | 0.03 | 2024 | — | volatile |
| 46 | Argentina | 0.03 | 2022 | down 91.7% | volatile |
| 49 | Cambodia | 0.02 | 2024 | down 66.7% | volatile |
| 49 | Sri Lanka | 0.02 | 2024 | — | volatile |
| 51 | Myanmar | 0.01 | 2023 | down 87.5% | volatile |
| 51 | South Africa | 0.01 | 2024 | down 50.0% | volatile |
| 51 | Egypt | 0.01 | 2022 | down 66.7% | volatile |
| 51 | Denmark | 0.01 | 2024 | — | volatile |
| 51 | Switzerland | 0.01 | 2024 | — | volatile |
| 51 | Bahrain | 0.01 | 2023 | unchanged | volatile |
| 51 | Belgium | 0.01 | 2024 | — | volatile |
| 51 | Pakistan | 0.01 | 2024 | down 99.1% | volatile |
| 51 | Mexico | 0.01 | 2022 | down 85.7% | volatile |
| 51 | Mauritius | 0.01 | 2020 | — | volatile |
| 61 | Bulgaria | 0 | 2024 | down 100.0% | volatile |
| 61 | Canada | 0 | 2023 | — | volatile |
| 61 | Chile | 0 | 2024 | — | volatile |
| 61 | Czechia | 0 | 2024 | down 100.0% | volatile |
| 61 | Austria | 0 | 2024 | — | volatile |
| 61 | Estonia | 0 | 2023 | — | volatile |
| 61 | Fiji | 0 | 2021 | down 100.0% | volatile |
| 61 | United Kingdom of Great Britain and Northern Ireland | 0 | 2024 | down 100.0% | volatile |
| 61 | Guatemala | 0 | 2023 | — | volatile |
| 61 | Hungary | 0 | 2024 | down 100.0% | volatile |
| 61 | Thailand | 0 | 2024 | down 100.0% | volatile |
| 61 | Kenya | 0 | 2023 | — | volatile |
| 61 | Sweden | 0 | 2024 | — | volatile |
| 61 | Singapore | 0 | 2022 | — | volatile |
| 61 | Senegal | 0 | 2024 | down 100.0% | volatile |
| 61 | Saudi Arabia | 0 | 2024 | — | volatile |
| 61 | Romania | 0 | 2024 | — | volatile |
| 61 | Latvia | 0 | 2023 | — | volatile |
| 61 | Portugal | 0 | 2024 | — | volatile |
| 61 | Poland | 0 | 2024 | — | volatile |
| 61 | Philippines | 0 | 2023 | — | volatile |
| 61 | Peru | 0 | 2021 | — | volatile |
| 61 | Nicaragua | 0 | 2019 | 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.
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