Cotton seed — Self-sufficiency ratio 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 — Self-sufficiency ratio is currently reported for 50 countries. The highest value is 2.56 in Paraguay; the lowest is -6.84 in Nepal.
The median across all reporting countries is 1, and the mean is 0.8858.
Over the past decade 19 countries rose and 23 fell. The largest increase was in Bulgaria (up 357.9%), and the largest decrease in Nepal (down 784.0%).
Cotton seed — Self-sufficiency ratio: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Paraguay | 2.56 | 2024 | up 156.0% | rising |
| 1 | United Republic of Tanzania | 1.01 | 2024 | up 2.0% | rising |
| 2 | Togo | 2.41 | 2022 | up 94.4% | rising |
| 2 | Côte d'Ivoire | 1 | 2022 | down 52.2% | falling |
| 2 | Türkiye | 0.98 | 2024 | down 2.0% | flat |
| 2 | Iran (Islamic Republic of) | 0.98 | 2020 | down 1.0% | flat |
| 3 | Australia | 1.94 | 2023 | up 23.6% | flat |
| 4 | Greece | 1.68 | 2024 | up 2.4% | rising |
| 4 | Viet Nam | 0.04 | 2023 | down 96.0% | falling |
| 5 | Philippines | 1.63 | 2021 | up 63.0% | volatile |
| 6 | Benin | 1.42 | 2024 | up 46.4% | rising |
| 7 | Costa Rica | 1.36 | 2023 | down 96.3% | volatile |
| 8 | Eswatini | 1.29 | 2023 | down 88.2% | volatile |
| 9 | Azerbaijan | 1.27 | 2024 | up 27.0% | rising |
| 10 | Kazakhstan | 1.18 | 2023 | up 16.8% | rising |
| 11 | Zambia | 1.17 | 2023 | down 39.7% | volatile |
| 12 | Mozambique | 1.12 | 2024 | down 61.2% | volatile |
| 13 | Cameroon | 1.1 | 2020 | up 10.0% | rising |
| 14 | Guatemala | 1.09 | 2015 | up 17.2% | rising |
| 15 | Uganda | 1.07 | 2024 | up 2.9% | falling |
| 16 | Israel | 1.05 | 2019 | down 4.5% | flat |
| 17 | Malawi | 1.04 | 2024 | up 18.2% | volatile |
| 18 | Ethiopia | 1.03 | 2023 | up 3.0% | rising |
| 19 | Ghana | 1.02 | 2022 | down 23.3% | volatile |
| 19 | Botswana | 1.02 | 2014 | — | rising |
| 21 | Argentina | 1.01 | 2022 | down 1.9% | flat |
| 22 | Egypt | 1 | 2022 | unchanged | flat |
| 22 | India | 1 | 2024 | unchanged | flat |
| 22 | Pakistan | 1 | 2021 | unchanged | flat |
| 22 | Peru | 1 | 2021 | up 1.0% | flat |
| 22 | Brazil | 1 | 2022 | unchanged | flat |
| 22 | Senegal | 1 | 2024 | down 13.8% | falling |
| 22 | Uzbekistan | 1 | 2024 | — | flat |
| 22 | Myanmar | 1 | 2023 | unchanged | flat |
| 22 | Thailand | 1 | 2024 | down 21.3% | falling |
| 31 | Niger | 0.99 | 2022 | up 22.2% | rising |
| 31 | Zimbabwe | 0.99 | 2024 | unchanged | falling |
| 33 | Kyrgyzstan | 0.97 | 2024 | down 2.0% | flat |
| 34 | China, mainland | 0.95 | 2024 | down 4.0% | flat |
| 35 | Mexico | 0.94 | 2022 | up 25.3% | rising |
| 36 | Burkina Faso | 0.93 | 2024 | down 19.1% | falling |
| 37 | South Africa | 0.89 | 2024 | up 154.3% | rising |
| 38 | Bulgaria | 0.87 | 2023 | up 357.9% | volatile |
| 39 | Burundi | 0.7 | 2020 | down 30.0% | falling |
| 40 | Mali | 0.62 | 2022 | down 31.9% | falling |
| 41 | Morocco | 0.39 | 2015 | down 61.0% | falling |
| 42 | Spain | 0.35 | 2024 | down 50.0% | falling |
| 43 | Kenya | 0.09 | 2023 | down 89.4% | falling |
| 58 | Indonesia | -0.02 | 2022 | down 101.0% | volatile |
| 59 | Nepal | -6.84 | 2019 | down 784.0% | 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