Tomatoes — Revealed comparative advantage index in Myanmar
Myanmar: Tomatoes — Revealed comparative advantage index was 0 in 2022. ◆ Volatile
Tomatoes — Revealed comparative advantage index in Myanmar, 2010–2022
Source: Food and Agriculture Organization of the United Nations.
Analysis
In 2022, tomatoes — revealed comparative advantage index in Myanmar stood at 0. That is the lowest value across all 8 years on record.
Over the whole period, tomatoes — revealed comparative advantage index in Myanmar peaked at 0.02 in 2018 and was at its lowest, 0, in 2010.
Myanmar ranks 93rd of 132 countries on this measure, in the middle of the range.
Tomatoes — Revealed comparative advantage index in Myanmar, year by year
| Year | Value | Change |
|---|---|---|
| 2010 | 0 | — |
| 2014 | 0 | — |
| 2017 | 0 | — |
| 2018 | 0.02 | — |
| 2019 | 0 | -100.0% |
| 2020 | 0.01 | — |
| 2021 | 0 | -100.0% |
| 2022 | 0 | — |
Myanmar compared with similar countries
- Myanmar's 0 is below the median for lower middle income countries, which is 0.08. (25 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0.004 | 0 | 0.02 | 5 |
| 2020s | 0.0033 | 0 | 0.01 | 3 |
Countries ranked near Myanmar
- 93 Barbados 0 compare
- 93 Benin 0 compare
- 93 Bhutan 0
- 93 Burundi 0 compare
- 93 Cambodia 0
- 93 China, Hong Kong SAR 0
- 93 Costa Rica 0 compare
- 93 Cyprus 0 compare
- 93 Ecuador 0 compare
- 93 El Salvador 0
- 93 Eswatini 0 compare
- 93 Fiji 0
- 93 French Polynesia 0
- 93 Ghana 0
- 93 Guyana 0 compare
- 93 Indonesia 0
- 93 Israel 0 compare
- 93 Jamaica 0
- 93 Madagascar 0 compare
- 93 Malawi 0 compare
- 93 Malta 0
- 93 Mauritius 0
- 93 Montenegro 0 compare
- 93 Mozambique 0
- 93 Nepal 0 compare
- 93 Panama 0
- 93 Paraguay 0
- 93 Philippines 0
- 93 Saint Vincent and the Grenadines 0 compare
- 93 Singapore 0 compare
- 93 Sri Lanka 0 compare
- 93 Suriname 0 compare
- 93 Switzerland 0 compare
- 93 Tajikistan 0 compare
- 93 Thailand 0
- 93 Ukraine 0 compare
- 93 Uruguay 0
- 93 Zambia 0 compare
- 93 Zimbabwe 0
More agriculture & rural data for Myanmar
- Agriculture, forestry, and fishing, value added (current US$), annual 10.26 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.253 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 376.69 current US$ per person (2025)
- Rural population, annual growth rate 0.4495 % change on previous year (2025)
- Rural population, per unit of GDP 0.0005 units per US$ of GDP (2025)
- Rural population, per capita 0.6942 units per person (2025)
- Share of GDP from agriculture 25.3% (2025)
- Agriculture as a share of GDP vs. GDP per capita 25.3% (2025)
- Agricultural raw materials exports 3.3% (2024)
- Agricultural raw materials imports 0.5% (2024)
Frequently asked questions
- What is tomatoes — revealed comparative advantage index in Myanmar?
- Tomatoes — revealed comparative advantage index in Myanmar was 0 in 2022, according to Food and Agriculture Organization of the United Nations.
- What is the highest tomatoes — revealed comparative advantage index recorded in Myanmar?
- The highest recorded value was 0.02 in 2018.
- What is the lowest tomatoes — revealed comparative advantage index recorded in Myanmar?
- The lowest recorded value was 0 in 2010.
- How does Myanmar rank for tomatoes — revealed comparative advantage index?
- Myanmar ranks 93rd out of 132 countries with data for 2022.
- Where does this Myanmar data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Tomatoes — Revealed comparative advantage index. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 8 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
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