Sorghum — 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
Sorghum — Revealed comparative advantage index is currently reported for 87 countries. The highest value is 9.88 in Australia; the lowest is 0 in Nepal.
The median across all reporting countries is 0.01, and the mean is 0.5071.
Over the past decade 20 countries rose and 25 fell. The largest increase was in United Republic of Tanzania (up 11,266.7%), and the largest decrease in Democratic Republic of the Congo (down 100.0%).
Sorghum — Revealed comparative advantage index: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Australia | 9.88 | 2024 | up 439.9% | volatile |
| 1 | United Republic of Tanzania | 3.41 | 2024 | up 11,266.7% | volatile |
| 2 | Argentina | 5.1 | 2024 | up 50.4% | volatile |
| 2 | Bolivia (Plurinational State of) | 1.31 | 2024 | up 138.2% | volatile |
| 3 | Uganda | 4.89 | 2024 | down 72.5% | volatile |
| 3 | Republic of Moldova | 0.56 | 2024 | up 250.0% | volatile |
| 4 | Sudan | 4.76 | 2018 | up 7,833.3% | volatile |
| 4 | Türkiye | 0.01 | 2024 | — | volatile |
| 5 | Belize | 4.53 | 2022 | up 566.2% | volatile |
| 5 | Democratic Republic of the Congo | 0 | 2022 | down 100.0% | volatile |
| 6 | Kenya | 2.06 | 2023 | up 610.3% | volatile |
| 7 | Botswana | 1.41 | 2023 | down 38.7% | volatile |
| 8 | South Africa | 1.15 | 2024 | up 59.7% | volatile |
| 9 | Hungary | 0.99 | 2024 | up 800.0% | volatile |
| 10 | Paraguay | 0.55 | 2024 | up 587.5% | volatile |
| 11 | France | 0.48 | 2024 | up 50.0% | rising |
| 12 | Zimbabwe | 0.43 | 2024 | up 2,050.0% | volatile |
| 13 | Ukraine | 0.31 | 2024 | down 77.2% | volatile |
| 14 | India | 0.3 | 2024 | down 50.8% | volatile |
| 15 | Slovakia | 0.28 | 2024 | — | volatile |
| 16 | Brazil | 0.21 | 2024 | up 320.0% | volatile |
| 17 | Zambia | 0.15 | 2024 | — | volatile |
| 18 | Russian Federation | 0.14 | 2021 | — | volatile |
| 19 | Burkina Faso | 0.13 | 2024 | down 94.1% | volatile |
| 19 | Austria | 0.13 | 2024 | up 333.3% | volatile |
| 21 | China, Taiwan Province of | 0.11 | 2020 | up 83.3% | volatile |
| 22 | Uruguay | 0.1 | 2023 | down 93.0% | volatile |
| 23 | Romania | 0.09 | 2024 | down 81.2% | volatile |
| 24 | Niger | 0.06 | 2018 | up 500.0% | volatile |
| 25 | Georgia | 0.05 | 2014 | — | volatile |
| 26 | Honduras | 0.04 | 2023 | down 33.3% | volatile |
| 26 | Malawi | 0.04 | 2024 | down 69.2% | volatile |
| 26 | Nicaragua | 0.04 | 2023 | down 66.7% | volatile |
| 26 | Jordan | 0.04 | 2023 | up 300.0% | volatile |
| 26 | Lebanon | 0.04 | 2023 | — | volatile |
| 31 | Czechia | 0.03 | 2024 | up 200.0% | volatile |
| 31 | Bahrain | 0.03 | 2020 | — | volatile |
| 33 | China, mainland | 0.02 | 2024 | down 75.0% | volatile |
| 33 | Bulgaria | 0.02 | 2024 | down 33.3% | volatile |
| 33 | Ghana | 0.02 | 2023 | — | volatile |
| 33 | Italy | 0.02 | 2024 | up 100.0% | volatile |
| 33 | Spain | 0.02 | 2024 | down 75.0% | volatile |
| 38 | Portugal | 0.01 | 2024 | unchanged | volatile |
| 38 | United Arab Emirates | 0.01 | 2023 | — | volatile |
| 38 | Poland | 0.01 | 2024 | — | volatile |
| 38 | Rwanda | 0.01 | 2022 | down 85.7% | volatile |
| 38 | Serbia | 0.01 | 2024 | — | volatile |
| 38 | Togo | 0.01 | 2019 | — | volatile |
| 38 | Thailand | 0.01 | 2024 | down 66.7% | volatile |
| 38 | Republic of Korea | 0.01 | 2024 | — | volatile |
| 38 | Netherlands (Kingdom of the) | 0.01 | 2024 | unchanged | volatile |
| 38 | Greece | 0.01 | 2024 | — | volatile |
| 38 | Namibia | 0.01 | 2022 | — | volatile |
| 38 | Croatia | 0.01 | 2024 | down 66.7% | volatile |
| 38 | Myanmar | 0.01 | 2024 | — | volatile |
| 38 | Mali | 0.01 | 2019 | — | volatile |
| 38 | North Macedonia | 0.01 | 2019 | — | volatile |
| 38 | Egypt | 0.01 | 2024 | down 50.0% | volatile |
| 38 | Cameroon | 0.01 | 2023 | — | volatile |
| 38 | Germany | 0.01 | 2024 | — | volatile |
| 56 | Chile | 0 | 2024 | — | volatile |
| 56 | Fiji | 0 | 2024 | down 100.0% | volatile |
| 56 | Ethiopia | 0 | 2023 | down 100.0% | volatile |
| 56 | Dominican Republic | 0 | 2023 | — | volatile |
| 56 | Costa Rica | 0 | 2024 | — | volatile |
| 56 | Colombia | 0 | 2024 | — | volatile |
| 56 | Cambodia | 0 | 2024 | — | volatile |
| 56 | Canada | 0 | 2024 | — | volatile |
| 56 | Belgium | 0 | 2024 | down 100.0% | volatile |
| 56 | Burundi | 0 | 2022 | down 100.0% | volatile |
| 56 | Angola | 0 | 2024 | — | volatile |
| 56 | United Kingdom of Great Britain and Northern Ireland | 0 | 2024 | down 100.0% | volatile |
| 56 | Guatemala | 0 | 2024 | — | volatile |
| 56 | Pakistan | 0 | 2024 | — | volatile |
| 56 | Tunisia | 0 | 2023 | — | volatile |
| 56 | Lesotho | 0 | 2024 | — | volatile |
| 56 | Lithuania | 0 | 2023 | — | volatile |
| 56 | Eswatini | 0 | 2024 | — | volatile |
| 56 | Sweden | 0 | 2024 | — | volatile |
| 56 | Slovenia | 0 | 2024 | down 100.0% | volatile |
| 56 | Morocco | 0 | 2023 | — | volatile |
| 56 | Mexico | 0 | 2019 | — | volatile |
| 56 | El Salvador | 0 | 2024 | down 100.0% | volatile |
| 56 | Senegal | 0 | 2024 | — | volatile |
| 56 | Saudi Arabia | 0 | 2021 | — | volatile |
| 56 | Malaysia | 0 | 2024 | — | volatile |
| 56 | Nepal | 0 | 2020 | — | 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