Barley — 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
Barley — Import dependency ratio is currently reported for 86 countries. The highest value is 1 in Saudi Arabia; the lowest is -193.06 in Romania.
The median across all reporting countries is 0.07, and the mean is -2.24.
Over the past decade 37 countries rose and 40 fell. The largest increase was in Ireland (up 2,700.0%), and the largest decrease in Kenya (down 13,950.0%).
Barley — Import dependency ratio: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Saudi Arabia | 1 | 2022 | unchanged | flat |
| 1 | Qatar | 1 | 2017 | up 1.0% | falling |
| 1 | United Arab Emirates | 1 | 2023 | unchanged | flat |
| 1 | China, Taiwan Province of | 1 | 2024 | unchanged | flat |
| 1 | Iran (Islamic Republic of) | 0.46 | 2018 | up 228.6% | rising |
| 2 | United Republic of Tanzania | 0.09 | 2024 | down 75.0% | volatile |
| 3 | Bolivia (Plurinational State of) | 0.01 | 2014 | — | volatile |
| 4 | Türkiye | -0.02 | 2024 | down 120.0% | volatile |
| 5 | Oman | 0.99 | 2023 | up 2.1% | rising |
| 5 | Kuwait | 0.99 | 2021 | up 3.1% | flat |
| 5 | Republic of Moldova | -2.46 | 2024 | down 203.7% | volatile |
| 7 | Israel | 0.98 | 2024 | up 2.1% | flat |
| 8 | Colombia | 0.97 | 2024 | up 2.1% | flat |
| 9 | China, mainland | 0.94 | 2024 | up 19.0% | rising |
| 10 | Netherlands (Kingdom of the) | 0.92 | 2024 | up 3.4% | flat |
| 11 | Portugal | 0.91 | 2024 | up 4.6% | flat |
| 12 | Cyprus | 0.9 | 2021 | up 9.8% | rising |
| 13 | Japan | 0.86 | 2024 | down 2.3% | falling |
| 13 | Jordan | 0.86 | 2020 | down 10.4% | falling |
| 15 | Malta | 0.85 | 2017 | down 7.6% | falling |
| 16 | Belgium | 0.84 | 2024 | up 6.3% | flat |
| 17 | Ecuador | 0.82 | 2024 | up 26.2% | rising |
| 18 | Lebanon | 0.72 | 2024 | up 10.8% | flat |
| 18 | Iceland | 0.72 | 2024 | down 1.4% | flat |
| 20 | Brazil | 0.69 | 2024 | up 9.5% | rising |
| 21 | Republic of Korea | 0.64 | 2024 | up 39.1% | rising |
| 22 | Tunisia | 0.58 | 2022 | up 75.8% | rising |
| 23 | Montenegro | 0.5 | 2016 | down 12.3% | rising |
| 24 | Palestine | 0.48 | 2023 | down 44.2% | falling |
| 25 | Italy | 0.46 | 2024 | up 7.0% | falling |
| 26 | Morocco | 0.45 | 2023 | up 650.0% | volatile |
| 27 | Switzerland | 0.34 | 2024 | up 9.7% | falling |
| 28 | Peru | 0.32 | 2024 | unchanged | rising |
| 29 | Ireland | 0.28 | 2024 | up 2,700.0% | volatile |
| 30 | Greece | 0.27 | 2024 | up 107.7% | falling |
| 31 | Bosnia and Herzegovina | 0.26 | 2024 | down 21.2% | falling |
| 32 | South Africa | 0.24 | 2024 | up 20.0% | volatile |
| 33 | Austria | 0.22 | 2024 | up 29.4% | rising |
| 34 | Pakistan | 0.2 | 2024 | — | volatile |
| 35 | Zambia | 0.19 | 2024 | down 89.7% | volatile |
| 36 | Spain | 0.17 | 2024 | up 325.0% | volatile |
| 36 | Thailand | 0.17 | 2024 | up 13.3% | volatile |
| 38 | Georgia | 0.12 | 2024 | up 71.4% | volatile |
| 39 | Belarus | 0.08 | 2021 | up 700.0% | volatile |
| 39 | Norway | 0.08 | 2024 | up 60.0% | volatile |
| 39 | Slovenia | 0.08 | 2024 | down 65.2% | volatile |
| 42 | Azerbaijan | 0.06 | 2024 | up 200.0% | volatile |
| 42 | India | 0.06 | 2024 | up 115.8% | volatile |
| 44 | Mexico | 0.05 | 2019 | down 28.6% | volatile |
| 45 | Lesotho | 0.04 | 2024 | — | volatile |
| 45 | Egypt | 0.04 | 2024 | down 75.0% | volatile |
| 47 | Kyrgyzstan | 0.03 | 2024 | up 200.0% | volatile |
| 48 | Sweden | 0.02 | 2024 | up 104.7% | volatile |
| 49 | New Zealand | 0.01 | 2024 | down 91.7% | volatile |
| 49 | Denmark | 0.01 | 2024 | up 103.4% | rising |
| 49 | Nepal | 0.01 | 2016 | — | volatile |
| 52 | Chile | 0 | 2024 | down 100.0% | volatile |
| 52 | Finland | 0 | 2024 | up 100.0% | volatile |
| 52 | Ethiopia | 0 | 2023 | — | volatile |
| 52 | Zimbabwe | 0 | 2018 | down 100.0% | volatile |
| 56 | Yemen | -0.01 | 2015 | down 106.7% | volatile |
| 57 | United Kingdom of Great Britain and Northern Ireland | -0.06 | 2024 | up 66.7% | rising |
| 58 | Poland | -0.07 | 2024 | down 333.3% | volatile |
| 59 | Slovakia | -0.13 | 2024 | down 85.7% | volatile |
| 60 | Serbia | -0.18 | 2024 | down 260.0% | volatile |
| 60 | Uruguay | -0.18 | 2023 | down 136.0% | volatile |
| 62 | North Macedonia | -0.21 | 2024 | down 950.0% | volatile |
| 63 | Germany | -0.24 | 2024 | down 1,300.0% | volatile |
| 64 | Russian Federation | -0.28 | 2021 | down 154.5% | falling |
| 65 | Czechia | -0.3 | 2024 | down 275.0% | falling |
| 66 | Luxembourg | -0.32 | 2024 | down 6.7% | volatile |
| 67 | Croatia | -0.43 | 2024 | down 352.9% | volatile |
| 67 | Canada | -0.43 | 2024 | down 53.6% | volatile |
| 69 | Guatemala | -0.55 | 2024 | down 184.6% | volatile |
| 70 | Kazakhstan | -0.57 | 2024 | down 39.0% | falling |
| 71 | Lithuania | -0.63 | 2024 | down 61.5% | volatile |
| 72 | Australia | -0.95 | 2024 | up 53.0% | flat |
| 73 | Latvia | -1.03 | 2024 | down 221.9% | volatile |
| 74 | Estonia | -1.08 | 2024 | down 45.9% | volatile |
| 75 | Argentina | -1.11 | 2024 | up 93.0% | volatile |
| 76 | Hungary | -1.26 | 2024 | down 152.0% | volatile |
| 77 | France | -1.36 | 2024 | down 78.9% | falling |
| 78 | Ukraine | -1.74 | 2024 | down 104.7% | falling |
| 79 | Bulgaria | -3.53 | 2024 | down 116.6% | falling |
| 80 | Kenya | -5.62 | 2023 | down 13,950.0% | volatile |
| 81 | Romania | -193.06 | 2024 | down 6,746.1% | 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