ILO - Modelled Estimates; FAOSTAT - Value added (2015 US$) in Myanmar
Myanmar: ILO - Modelled Estimates; FAOSTAT - Value added (2015 US$) was 1,720 USD in 2024. β² Rising
ILO - Modelled Estimates; FAOSTAT - Value added (2015 US$) in Myanmar, 1991β2024
Source: Food and Agriculture Organization of the United Nations. Measured in USD.
Analysis
The most recent figure for ilo - modelled estimates; faostat - value added (2015 us$) in Myanmar is 1,720 USD, measured in 2024.
That represents a change of down 4.9% on the previous year and up 32.3% over ten years.
Over the whole period, ilo - modelled estimates; faostat - value added (2015 us$) in Myanmar peaked at 1,858 USD in 2022 and was at its lowest, 307.27 USD, in 1991.
Myanmar ranks 139th of 168 countries on this measure, in the bottom quarter.
The long-run direction has been consistently rising across the 34 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 388.03 USD | 307.27 USD | 480.78 USD | 9 |
| 2000s | 862.29 USD | 542.55 USD | 1,220 USD | 10 |
| 2010s | 1,278 USD | 1,174 USD | 1,389 USD | 10 |
| 2020s | 1,703 USD | 1,303 USD | 1,858 USD | 5 |
Countries ranked near Myanmar
More agriculture & rural data for Myanmar
- Agriculture, forestry, and fishing, value added (current US$), 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)
- Agriculture share gdp 25.3 (2025)
- Value added in the agricultural sector as 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 ilo - modelled estimates; faostat - value added (2015 us$) in Myanmar?
- Ilo - modelled estimates; faostat - value added (2015 us$) in Myanmar was 1,720 USD in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest ilo - modelled estimates; faostat - value added (2015 us$) recorded in Myanmar?
- The highest recorded value was 1,858 USD in 2022.
- What is the lowest ilo - modelled estimates; faostat - value added (2015 us$) recorded in Myanmar?
- The lowest recorded value was 307.27 USD in 1991.
- How does Myanmar rank for ilo - modelled estimates; faostat - value added (2015 us$)?
- Myanmar ranks 139th out of 168 countries with data for 2024.
- Is ilo - modelled estimates; faostat - value added (2015 us$) rising or falling in Myanmar?
- Over the last ten years it is up 32.3%. The long-run trend across the full record is rising.
- Where does this Myanmar data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of ILO - Modelled Estimates; FAOSTAT - Value added (2015 US$) β Agriculture value added per worker (constant 2015 US$) β Value. Statizoid updates them automatically from the source API.
Download this data
CSV Β· JSON β 34 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
The FAOSTAT Employment indicators domain focuses on indicators related to employment in agrifood systems and rural areas. The update is performed yearly, using data from the International Labour Organization (ILO) database that contains a rich set of indicators from a wide range of topics related to labour statistics. The indicators published in FAOSTAT are derived from the labour force statistics (LFS) and rural and urban labour markets (RURURB) databases of the ILOSTAT database. In addition, the ILO modelled estimates and projections (ILOEST) are used to provide information on employment in agriculture. FAOSTAT also publishes indicators on employment in agrifood systems (AFS) from 2000 at the national, regional, and global levels, using a methodology developed by the FAO to estimate the number of people employed within these systems.