Raw cane or beet sugar (centrifugal only) — 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
Raw cane or beet sugar (centrifugal only) — Revealed comparative advantage index is currently reported for 128 countries. The highest value is 54.57 in Eswatini; the lowest is 0 in China, mainland.
The median across all reporting countries is 0.02, and the mean is 1.78.
Over the past decade 17 countries rose and 66 fell. The largest increase was in Portugal (up 8,800.0%), and the largest decrease in United Republic of Tanzania (down 100.0%).
Raw cane or beet sugar (centrifugal only) — Revealed comparative: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Eswatini | 54.57 | 2024 | down 21.1% | falling |
| 1 | Lao People's Democratic Republic | 1.9 | 2023 | down 40.8% | falling |
| 2 | Belize | 36.88 | 2022 | up 94.7% | rising |
| 2 | Bolivia (Plurinational State of) | 0.34 | 2024 | down 20.9% | volatile |
| 2 | Côte d'Ivoire | 0 | 2024 | — | volatile |
| 3 | Mauritius | 26.82 | 2024 | up 43.0% | rising |
| 3 | Venezuela (Bolivarian Republic of) | 0.05 | 2023 | — | volatile |
| 4 | Fiji | 12.4 | 2024 | down 58.2% | falling |
| 4 | Democratic Republic of the Congo | 0 | 2023 | — | volatile |
| 4 | Iran (Islamic Republic of) | 0 | 2018 | — | volatile |
| 4 | Viet Nam | 0 | 2023 | — | volatile |
| 4 | United Republic of Tanzania | 0 | 2024 | down 100.0% | volatile |
| 5 | Cuba | 11.21 | 2022 | down 75.3% | falling |
| 6 | El Salvador | 10.98 | 2024 | down 42.4% | rising |
| 7 | Brazil | 9.55 | 2024 | up 4.6% | falling |
| 8 | Panama | 8.7 | 2024 | up 47.7% | flat |
| 9 | Zambia | 6.34 | 2024 | down 58.0% | falling |
| 10 | Dominican Republic | 4.21 | 2024 | up 10.2% | falling |
| 11 | Guyana | 3.65 | 2024 | down 83.0% | volatile |
| 12 | Rwanda | 3.57 | 2022 | up 1,685.0% | volatile |
| 13 | Nicaragua | 3.34 | 2023 | down 48.6% | falling |
| 14 | Guatemala | 3.12 | 2024 | down 84.1% | volatile |
| 15 | Mozambique | 2.96 | 2024 | down 73.2% | falling |
| 16 | Australia | 2.7 | 2024 | down 7.8% | rising |
| 17 | Honduras | 2.25 | 2024 | down 18.5% | rising |
| 18 | Zimbabwe | 2.23 | 2024 | down 82.5% | volatile |
| 19 | Sudan | 2.1 | 2018 | down 34.6% | volatile |
| 20 | South Africa | 1.75 | 2024 | down 33.7% | rising |
| 21 | Thailand | 1.71 | 2024 | down 62.1% | falling |
| 22 | Costa Rica | 1.13 | 2024 | down 27.6% | falling |
| 23 | India | 1.03 | 2024 | down 10.4% | volatile |
| 24 | Colombia | 1 | 2024 | down 17.4% | rising |
| 25 | Portugal | 0.89 | 2024 | up 8,800.0% | volatile |
| 26 | Malawi | 0.88 | 2024 | down 89.8% | falling |
| 27 | Angola | 0.86 | 2024 | — | volatile |
| 28 | Jamaica | 0.8 | 2023 | down 94.4% | volatile |
| 29 | Saint Kitts and Nevis | 0.78 | 2017 | up 875.0% | volatile |
| 30 | United Arab Emirates | 0.67 | 2023 | up 81.1% | volatile |
| 31 | Madagascar | 0.65 | 2023 | down 89.8% | volatile |
| 32 | Saint Vincent and the Grenadines | 0.64 | 2023 | — | volatile |
| 33 | Mexico | 0.54 | 2024 | down 62.5% | rising |
| 34 | Namibia | 0.46 | 2024 | up 4,500.0% | volatile |
| 35 | Barbados | 0.4 | 2024 | down 95.5% | volatile |
| 36 | Peru | 0.37 | 2024 | down 36.2% | volatile |
| 37 | Paraguay | 0.3 | 2024 | down 75.4% | falling |
| 38 | Samoa | 0.25 | 2024 | — | volatile |
| 39 | Philippines | 0.24 | 2024 | down 87.3% | volatile |
| 40 | Cambodia | 0.23 | 2024 | down 88.3% | volatile |
| 41 | Ecuador | 0.18 | 2024 | up 100.0% | rising |
| 41 | China, Taiwan Province of | 0.18 | 2024 | up 350.0% | volatile |
| 43 | Botswana | 0.17 | 2023 | up 1,600.0% | volatile |
| 44 | Qatar | 0.16 | 2019 | down 75.0% | volatile |
| 45 | Argentina | 0.12 | 2024 | up 300.0% | volatile |
| 46 | Sweden | 0.1 | 2024 | down 47.4% | volatile |
| 47 | Belgium | 0.08 | 2024 | down 33.3% | falling |
| 48 | Niger | 0.07 | 2019 | — | volatile |
| 49 | Egypt | 0.06 | 2024 | down 64.7% | volatile |
| 49 | France | 0.06 | 2024 | down 53.8% | falling |
| 49 | Uganda | 0.06 | 2024 | down 93.8% | volatile |
| 52 | Armenia | 0.05 | 2024 | — | volatile |
| 52 | Romania | 0.05 | 2024 | up 66.7% | volatile |
| 54 | Czechia | 0.04 | 2024 | down 77.8% | volatile |
| 54 | Trinidad and Tobago | 0.04 | 2024 | unchanged | volatile |
| 56 | Austria | 0.03 | 2024 | up 50.0% | rising |
| 56 | Finland | 0.03 | 2024 | down 50.0% | falling |
| 56 | Lithuania | 0.03 | 2024 | — | volatile |
| 56 | Slovenia | 0.03 | 2024 | down 66.7% | volatile |
| 60 | Cameroon | 0.02 | 2023 | — | volatile |
| 60 | Germany | 0.02 | 2024 | down 33.3% | falling |
| 60 | North Macedonia | 0.02 | 2024 | up 100.0% | volatile |
| 60 | Singapore | 0.02 | 2024 | unchanged | rising |
| 60 | Slovakia | 0.02 | 2024 | down 50.0% | volatile |
| 60 | Russian Federation | 0.02 | 2021 | unchanged | volatile |
| 60 | Netherlands (Kingdom of the) | 0.02 | 2024 | — | volatile |
| 67 | Bosnia and Herzegovina | 0.01 | 2024 | down 66.7% | falling |
| 67 | Switzerland | 0.01 | 2024 | down 50.0% | volatile |
| 67 | Denmark | 0.01 | 2024 | unchanged | falling |
| 67 | Spain | 0.01 | 2024 | unchanged | rising |
| 67 | Hungary | 0.01 | 2024 | — | volatile |
| 67 | Italy | 0.01 | 2024 | unchanged | rising |
| 67 | Japan | 0.01 | 2024 | unchanged | rising |
| 67 | Lesotho | 0.01 | 2023 | unchanged | volatile |
| 67 | Oman | 0.01 | 2023 | — | volatile |
| 67 | Poland | 0.01 | 2024 | down 94.7% | volatile |
| 67 | Tonga | 0.01 | 2023 | — | volatile |
| 67 | China, Hong Kong SAR | 0.01 | 2024 | down 50.0% | falling |
| 67 | United Kingdom of Great Britain and Northern Ireland | 0.01 | 2024 | down 97.3% | volatile |
| 80 | Antigua and Barbuda | 0 | 2024 | down 100.0% | volatile |
| 80 | Azerbaijan | 0 | 2023 | down 100.0% | volatile |
| 80 | Benin | 0 | 2024 | down 100.0% | volatile |
| 80 | Burkina Faso | 0 | 2018 | down 100.0% | volatile |
| 80 | Bulgaria | 0 | 2024 | down 100.0% | volatile |
| 80 | Bahrain | 0 | 2023 | — | volatile |
| 80 | Belarus | 0 | 2021 | down 100.0% | volatile |
| 80 | Canada | 0 | 2024 | — | volatile |
| 80 | Congo | 0 | 2023 | down 100.0% | volatile |
| 80 | Cyprus | 0 | 2024 | — | volatile |
| 80 | Estonia | 0 | 2024 | down 100.0% | volatile |
| 80 | Georgia | 0 | 2024 | — | volatile |
| 80 | Greece | 0 | 2024 | down 100.0% | volatile |
| 80 | Croatia | 0 | 2024 | down 100.0% | volatile |
| 80 | Ireland | 0 | 2024 | down 100.0% | volatile |
| 80 | Israel | 0 | 2024 | — | volatile |
| 80 | Kazakhstan | 0 | 2024 | — | volatile |
| 80 | Kenya | 0 | 2023 | — | volatile |
| 80 | Kyrgyzstan | 0 | 2022 | — | volatile |
| 80 | Kuwait | 0 | 2023 | down 100.0% | volatile |
| 80 | Lebanon | 0 | 2024 | — | volatile |
| 80 | Saint Lucia | 0 | 2020 | down 100.0% | volatile |
| 80 | Sri Lanka | 0 | 2024 | — | volatile |
| 80 | Luxembourg | 0 | 2024 | down 100.0% | volatile |
| 80 | Latvia | 0 | 2024 | down 100.0% | volatile |
| 80 | Morocco | 0 | 2023 | — | volatile |
| 80 | Malta | 0 | 2024 | — | volatile |
| 80 | Myanmar | 0 | 2024 | down 100.0% | volatile |
| 80 | Montenegro | 0 | 2024 | — | volatile |
| 80 | Malaysia | 0 | 2023 | — | volatile |
| 80 | Norway | 0 | 2024 | — | volatile |
| 80 | Nepal | 0 | 2021 | — | volatile |
| 80 | Pakistan | 0 | 2021 | down 100.0% | volatile |
| 80 | French Polynesia | 0 | 2020 | down 100.0% | volatile |
| 80 | Saudi Arabia | 0 | 2024 | down 100.0% | volatile |
| 80 | Serbia | 0 | 2024 | — | volatile |
| 80 | Suriname | 0 | 2024 | — | volatile |
| 80 | Togo | 0 | 2024 | — | volatile |
| 80 | Ukraine | 0 | 2024 | — | volatile |
| 80 | Republic of Korea | 0 | 2024 | — | volatile |
| 80 | China, mainland | 0 | 2024 | down 100.0% | 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