Gender gap in the share of Self-employed people in [industry] in Myanmar
Myanmar: Gender gap in the share of Self-employed people in [industry] was -8.04 % in 2020. ▲ Rising
Gender gap in the share of Self-employed people in [industry] in Myanmar, 2014–2020
Source: Food and Agriculture Organization of the United Nations. Measured in %.
Analysis
The most recent figure for gender gap in the share of self-employed people in [industry] in Myanmar is -8.04 %, measured in 2020.
That represents a change of down 93.3% on the previous year and up 5.5% over ten years.
Myanmar ranks 27th of 61 countries on this measure, in the middle of the range.
Gender gap in the share of Self-employed people in [industry] in Myanmar, year by year
| Year | % | Change |
|---|---|---|
| 2014 | -8.51 % | — |
| 2015 | -12.31 % | +44.7% |
| 2017 | -8.84 % | -28.2% |
| 2018 | -9.62 % | +8.8% |
| 2019 | -4.16 % | -56.8% |
| 2020 | -8.04 % | +93.3% |
Myanmar compared with similar countries
- Myanmar's -8.04 % is above the median for lower middle income countries, which is -23.64 %, 34% of the median. (16 countries reporting)
- Myanmar's -8.04 % is below the median for East Asia & Pacific, which is -7.66 %, 1.0× the median. (8 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | -8.69 % | -12.31 % | -4.16 % | 5 |
| 2020s | -8.04 % | -8.04 % | -8.04 % | 1 |
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)
- 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 gender gap in the share of self-employed people in [industry] in Myanmar?
- Gender gap in the share of self-employed people in [industry] in Myanmar was -8.04 % in 2020, according to Food and Agriculture Organization of the United Nations.
- What is the highest gender gap in the share of self-employed people in [industry] recorded in Myanmar?
- The highest recorded value was -4.16 % in 2019.
- What is the lowest gender gap in the share of self-employed people in [industry] recorded in Myanmar?
- The lowest recorded value was -12.31 % in 2015.
- How does Myanmar rank for gender gap in the share of self-employed people in [industry]?
- Myanmar ranks 27th out of 61 countries with data for 2020.
- Is gender gap in the share of self-employed people in [industry] rising or falling in Myanmar?
- Over the last ten years it is up 5.5%. 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 Gender gap in the share of Self-employed people in [industry]: Non-agricultural AFS employment — Value — All age ranges or no breakdown by age — National — Non-agricultural agrifood systems. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 6 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.