Cotton seed — Import dependency 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 — Import dependency ratio is currently reported for 60 countries. The highest value is 7.84 in Nepal; the lowest is -1.56 in Paraguay.
The median across all reporting countries is 0.015, and the mean is 0.3285.
The gap between the highest and lowest reporting country is a factor of about 5.
Over the past decade 18 countries rose and 14 fell. The largest increase was in Kenya (up 506.7%), and the largest decrease in Kazakhstan (down 1,700.0%).
Cotton seed — Import dependency ratio: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Nepal | 7.84 | 2019 | — | volatile |
| 1 | Viet Nam | 0.96 | 2023 | — | volatile |
| 1 | Côte d'Ivoire | 0 | 2022 | up 100.0% | volatile |
| 2 | Indonesia | 1.02 | 2022 | up 193.6% | volatile |
| 2 | Türkiye | 0.02 | 2024 | — | volatile |
| 2 | Iran (Islamic Republic of) | 0.02 | 2020 | up 100.0% | volatile |
| 3 | Sweden | 1 | 2024 | unchanged | flat |
| 3 | Namibia | 1 | 2018 | unchanged | flat |
| 3 | Poland | 1 | 2024 | unchanged | flat |
| 3 | Italy | 1 | 2024 | unchanged | flat |
| 3 | Romania | 1 | 2024 | unchanged | flat |
| 3 | Saudi Arabia | 1 | 2018 | unchanged | flat |
| 3 | Slovakia | 1 | 2022 | — | flat |
| 3 | Denmark | 1 | 2024 | unchanged | flat |
| 3 | Netherlands (Kingdom of the) | 1 | 2024 | unchanged | flat |
| 3 | Czechia | 1 | 2024 | unchanged | flat |
| 3 | Republic of Korea | 1 | 2018 | unchanged | flat |
| 3 | Austria | 1 | 2024 | — | flat |
| 3 | China, Taiwan Province of | 1 | 2018 | unchanged | flat |
| 3 | Belgium | 1 | 2024 | unchanged | flat |
| 4 | United Republic of Tanzania | -0.01 | 2024 | down 200.0% | volatile |
| 17 | Kenya | 0.91 | 2023 | up 506.7% | volatile |
| 18 | Spain | 0.65 | 2024 | up 116.7% | volatile |
| 19 | Morocco | 0.61 | 2015 | — | volatile |
| 20 | Mali | 0.38 | 2022 | up 322.2% | volatile |
| 21 | Burundi | 0.3 | 2020 | — | volatile |
| 22 | Bulgaria | 0.13 | 2023 | down 84.0% | volatile |
| 23 | South Africa | 0.11 | 2024 | down 83.1% | volatile |
| 24 | Burkina Faso | 0.07 | 2024 | up 146.7% | volatile |
| 25 | Mexico | 0.06 | 2022 | down 76.0% | falling |
| 26 | China, mainland | 0.05 | 2024 | up 400.0% | volatile |
| 27 | Kyrgyzstan | 0.03 | 2024 | up 200.0% | rising |
| 28 | Zimbabwe | 0.01 | 2024 | unchanged | volatile |
| 28 | Niger | 0.01 | 2022 | down 94.7% | volatile |
| 30 | Senegal | 0 | 2024 | up 100.0% | volatile |
| 30 | Brazil | 0 | 2022 | — | volatile |
| 30 | Thailand | 0 | 2024 | up 100.0% | volatile |
| 30 | Myanmar | 0 | 2023 | — | volatile |
| 30 | Peru | 0 | 2021 | down 100.0% | volatile |
| 39 | Argentina | -0.01 | 2022 | up 66.7% | volatile |
| 40 | Ghana | -0.02 | 2022 | up 93.9% | volatile |
| 40 | Botswana | -0.02 | 2014 | — | volatile |
| 42 | Ethiopia | -0.03 | 2023 | — | volatile |
| 43 | Malawi | -0.04 | 2024 | down 133.3% | volatile |
| 44 | Israel | -0.05 | 2019 | up 50.0% | volatile |
| 45 | Uganda | -0.07 | 2024 | down 75.0% | volatile |
| 46 | Guatemala | -0.09 | 2015 | down 228.6% | volatile |
| 47 | Cameroon | -0.1 | 2020 | — | volatile |
| 48 | Mozambique | -0.12 | 2024 | up 93.7% | volatile |
| 49 | Zambia | -0.17 | 2023 | up 81.9% | volatile |
| 50 | Kazakhstan | -0.18 | 2023 | down 1,700.0% | volatile |
| 51 | Azerbaijan | -0.27 | 2024 | — | volatile |
| 52 | Eswatini | -0.29 | 2023 | up 97.1% | volatile |
| 53 | Costa Rica | -0.36 | 2023 | up 99.0% | volatile |
| 54 | Benin | -0.42 | 2024 | down 1,500.0% | volatile |
| 55 | Philippines | -0.63 | 2021 | — | volatile |
| 56 | Greece | -0.68 | 2024 | down 6.2% | falling |
| 57 | Australia | -0.94 | 2023 | down 64.9% | volatile |
| 58 | Togo | -1.41 | 2022 | down 487.5% | volatile |
| 59 | Paraguay | -1.56 | 2024 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- United States of America -0.06
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