Soya beans — 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
Soya beans — Import dependency ratio is currently reported for 92 countries. The highest value is 8.7 in Lithuania; the lowest is -17.1 in Madagascar.
The median across all reporting countries is 0.24, and the mean is 0.0683.
Over the past decade 33 countries rose and 32 fell. The largest increase was in Lithuania (up 6,314.3%), and the largest decrease in Ethiopia (down 1,590.9%).
Soya beans — Import dependency ratio: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Lithuania | 8.7 | 2024 | up 6,314.3% | volatile |
| 1 | Côte d'Ivoire | 1.14 | 2024 | up 500.0% | volatile |
| 1 | Venezuela (Bolivarian Republic of) | 0.97 | 2014 | — | rising |
| 1 | Viet Nam | 0.97 | 2023 | up 10.2% | rising |
| 2 | Uruguay | 7.95 | 2023 | up 68.4% | volatile |
| 3 | Chile | 1 | 2024 | unchanged | flat |
| 3 | Pakistan | 1 | 2024 | up 4,900.0% | volatile |
| 3 | Guyana | 1 | 2024 | unchanged | flat |
| 3 | Estonia | 1 | 2024 | unchanged | flat |
| 3 | Spain | 1 | 2024 | unchanged | flat |
| 3 | Denmark | 1 | 2024 | unchanged | flat |
| 3 | New Zealand | 1 | 2024 | unchanged | flat |
| 3 | Costa Rica | 1 | 2024 | unchanged | flat |
| 3 | Ireland | 1 | 2023 | unchanged | flat |
| 3 | Senegal | 1 | 2024 | unchanged | flat |
| 3 | Malaysia | 1 | 2024 | unchanged | flat |
| 3 | Latvia | 1 | 2024 | unchanged | flat |
| 3 | Thailand | 1 | 2024 | up 3.1% | rising |
| 3 | Philippines | 1 | 2024 | up 2.0% | flat |
| 3 | China, Taiwan Province of | 1 | 2024 | unchanged | flat |
| 3 | Netherlands (Kingdom of the) | 1 | 2017 | unchanged | flat |
| 3 | Türkiye | 0.95 | 2024 | up 2.2% | flat |
| 4 | Iran (Islamic Republic of) | 0.91 | 2022 | up 3.4% | rising |
| 5 | Republic of Moldova | 0.52 | 2024 | up 182.5% | volatile |
| 6 | Lao People's Democratic Republic | 0.05 | 2023 | up 600.0% | volatile |
| 7 | Democratic Republic of the Congo | 0 | 2022 | — | volatile |
| 8 | Bolivia (Plurinational State of) | -0.07 | 2024 | unchanged | volatile |
| 9 | United Republic of Tanzania | -0.11 | 2024 | down 136.7% | volatile |
| 19 | Greece | 0.99 | 2024 | up 2.1% | flat |
| 19 | Peru | 0.99 | 2024 | unchanged | flat |
| 21 | Egypt | 0.98 | 2024 | unchanged | flat |
| 22 | Morocco | 0.97 | 2023 | down 1.0% | flat |
| 22 | Germany | 0.97 | 2024 | down 3.0% | flat |
| 24 | Mexico | 0.96 | 2024 | up 5.5% | flat |
| 25 | Luxembourg | 0.94 | 2024 | — | rising |
| 26 | Japan | 0.93 | 2024 | up 1.1% | flat |
| 27 | Indonesia | 0.92 | 2024 | up 37.3% | rising |
| 28 | Republic of Korea | 0.88 | 2024 | down 2.2% | flat |
| 29 | China, mainland | 0.84 | 2024 | down 1.2% | flat |
| 30 | Nepal | 0.79 | 2022 | up 29.5% | rising |
| 30 | Bulgaria | 0.79 | 2024 | up 325.7% | volatile |
| 32 | Colombia | 0.71 | 2023 | down 12.3% | falling |
| 33 | Italy | 0.69 | 2024 | up 16.9% | flat |
| 34 | Zimbabwe | 0.62 | 2024 | up 226.3% | volatile |
| 35 | Switzerland | 0.58 | 2024 | down 26.6% | falling |
| 35 | France | 0.58 | 2024 | down 22.7% | falling |
| 37 | Slovenia | 0.43 | 2024 | down 41.9% | volatile |
| 38 | Honduras | 0.38 | 2024 | up 1,800.0% | volatile |
| 39 | Serbia | 0.36 | 2024 | up 3,500.0% | volatile |
| 40 | Rwanda | 0.26 | 2022 | up 550.0% | volatile |
| 41 | Poland | 0.22 | 2024 | down 78.0% | falling |
| 42 | Russian Federation | 0.18 | 2021 | down 48.6% | falling |
| 43 | North Macedonia | 0.14 | 2023 | down 81.6% | volatile |
| 43 | Hungary | 0.14 | 2024 | down 66.7% | volatile |
| 45 | Kazakhstan | 0.13 | 2024 | up 262.5% | volatile |
| 45 | Bosnia and Herzegovina | 0.13 | 2024 | down 78.7% | volatile |
| 47 | Togo | 0.12 | 2024 | up 112.0% | volatile |
| 48 | Austria | 0.11 | 2024 | down 68.6% | falling |
| 49 | Kenya | 0.1 | 2023 | down 85.9% | volatile |
| 50 | Kyrgyzstan | 0.08 | 2022 | down 91.8% | volatile |
| 51 | Argentina | 0.07 | 2024 | up 143.8% | volatile |
| 51 | Czechia | 0.07 | 2024 | down 89.4% | volatile |
| 53 | India | 0.04 | 2024 | up 300.0% | volatile |
| 54 | Angola | 0.03 | 2024 | down 57.1% | volatile |
| 54 | Myanmar | 0.03 | 2024 | up 200.0% | volatile |
| 56 | El Salvador | 0.02 | 2014 | — | falling |
| 57 | Georgia | 0.01 | 2024 | down 98.7% | volatile |
| 57 | Sri Lanka | 0.01 | 2024 | up 104.2% | volatile |
| 59 | Guatemala | 0 | 2024 | down 100.0% | volatile |
| 59 | Cameroon | 0 | 2023 | — | volatile |
| 59 | Belize | 0 | 2022 | up 100.0% | volatile |
| 63 | Uganda | -0.02 | 2024 | up 50.0% | volatile |
| 63 | Mali | -0.02 | 2022 | — | volatile |
| 63 | Benin | -0.02 | 2014 | — | volatile |
| 63 | Nicaragua | -0.02 | 2023 | unchanged | volatile |
| 67 | Malawi | -0.04 | 2024 | up 80.0% | volatile |
| 68 | South Africa | -0.05 | 2024 | down 150.0% | volatile |
| 68 | Australia | -0.05 | 2024 | up 58.3% | volatile |
| 70 | Zambia | -0.09 | 2024 | up 30.8% | volatile |
| 71 | Cambodia | -0.1 | 2024 | — | volatile |
| 72 | Burkina Faso | -0.12 | 2024 | down 200.0% | volatile |
| 73 | Mozambique | -0.2 | 2024 | down 433.3% | volatile |
| 74 | Ghana | -0.3 | 2023 | — | volatile |
| 75 | Romania | -0.38 | 2024 | down 258.3% | volatile |
| 76 | Ukraine | -1.07 | 2024 | down 40.8% | volatile |
| 77 | Canada | -1.74 | 2024 | down 56.8% | falling |
| 78 | Slovakia | -1.93 | 2024 | down 1,186.7% | volatile |
| 79 | Brazil | -2.11 | 2024 | down 95.4% | falling |
| 80 | Paraguay | -2.56 | 2024 | down 172.3% | flat |
| 81 | Croatia | -5.23 | 2024 | down 284.6% | volatile |
| 82 | Ethiopia | -16.74 | 2023 | down 1,590.9% | volatile |
| 83 | Madagascar | -17.1 | 2023 | — | 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 -0.77
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