Gender gap in earnings of employees in urban areas — Value — All age in Myanmar
Myanmar: Gender gap in earnings of employees in urban areas — Value — All age was -0.03 % in 2020. ◆ Volatile
Gender gap in earnings of employees in urban areas — Value — All age in Myanmar, 2015–2020
Source: Food and Agriculture Organization of the United Nations. Measured in %.
Analysis
In 2020, gender gap in earnings of employees in urban areas — value — all age in Myanmar stood at -0.03 %. That is the lowest value across all 5 years on record.
Compared with earlier readings it is down 130.0% on the previous year and down 115.8% over ten years.
Myanmar ranks 26th of 34 countries on this measure, in the bottom quarter.
Gender gap in earnings of employees in urban areas — Value — All age in Myanmar, year by year
| Year | % | Change |
|---|---|---|
| 2015 | 0.19 % | — |
| 2017 | 0.09 % | -52.6% |
| 2018 | 0.1 % | +11.1% |
| 2019 | 0.1 % | +0.0% |
| 2020 | -0.03 % | -130.0% |
Myanmar compared with similar countries
- Myanmar's -0.03 % is below the median for lower middle income countries, which is 0.03 %. (9 countries reporting)
- Myanmar's -0.03 % is below the median for East Asia & Pacific, which is 0.06 %. (6 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0.12 % | 0.09 % | 0.19 % | 4 |
| 2020s | -0.03 % | -0.03 % | -0.03 % | 1 |
Countries ranked near Myanmar
- 25 El Salvador -0.01 % compare
- 26 Costa Rica -0.03 % compare
- 28 Jordan -0.04 %
- 29 Panama -0.05 % compare
- 29 Paraguay -0.05 % compare
More economy & growth data for Myanmar
- Africa's Development Dynamics (AfDD) Table 04 - Annual real GDP 1.44 Percent per annum (2029)
- Africa's Development Dynamics (AfDD) Table 02 - Annual real GDP 2.01 Percent per annum (2029)
- Foreign direct investment, net outflows (BoP, current US$), gaps 0 BoP, current US$ (1989)
- Foreign direct investment, net outflows (BoP, current US$), per unit 0 BoP, current US$ per US$ of GDP (1989)
- Foreign direct investment, net outflows (BoP, current US$), per capita 0 BoP, current US$ per person (1989)
- Foreign direct investment, net inflows (BoP, current US$), gaps filled 1.10 billion BoP, current US$ (2024)
- Foreign direct investment, net inflows (BoP, current US$), annual -27.95 % change on previous year (2024)
- Foreign direct investment, net inflows (BoP, current US$), per unit 0.0148 BoP, current US$ per US$ of GDP (2024)
- Foreign direct investment, net inflows (BoP, current US$), per capita 20.1 BoP, current US$ per person (2024)
- Total reserves (includes gold, current US$), annual growth rate 14.13 % change on previous year (2023)
Frequently asked questions
- What is gender gap in earnings of employees in urban areas — value — all age in Myanmar?
- Gender gap in earnings of employees in urban areas — value — all age in Myanmar was -0.03 % in 2020, according to Food and Agriculture Organization of the United Nations.
- What is the highest gender gap in earnings of employees in urban areas — value — all age recorded in Myanmar?
- The highest recorded value was 0.19 % in 2015.
- What is the lowest gender gap in earnings of employees in urban areas — value — all age recorded in Myanmar?
- The lowest recorded value was -0.03 % in 2020.
- How does Myanmar rank for gender gap in earnings of employees in urban areas — value — all age?
- Myanmar ranks 26th out of 34 countries with data for 2020.
- Is gender gap in earnings of employees in urban areas — value — all age rising or falling in Myanmar?
- Over the last ten years it is down 115.8%. The long-run trend across the full record is volatile.
- Where does this Myanmar data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Gender gap in earnings of employees in urban areas — Value — All age ranges or no breakdown by age — National. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 5 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
The Suite of Gender Indicators presents a set of indicators relevant to agrifood systems that are disaggregated by sex, with the aim of highlighting gender differences across agrifood systems. The initial set of indicators is based on those used in FAO’s 2023 Status of Women in Agrifood Systems (SWAFS) report and on the recommendations of an expert consultation held in December 2023, and covers key dimensions including economic participation, governance, agency, social norms, assets and services, education, health, and nutrition. Indicator selection was informed by expert judgment and by the availability of data with sufficient geographic and temporal coverage to enable meaningful comparisons across regions and over time. While most indicators are produced and published by FAO and other international organizations, the objective of this domain is to provide a one-stop shop for sex-disaggregated data on agrifood systems.