Gender gap in informal employment by industry: Agrifood systems in Myanmar
Myanmar: Gender gap in informal employment by industry: Agrifood systems was -17.34 % in 2020. ▼ Falling
Gender gap in informal employment by industry: Agrifood systems in Myanmar, 2015–2020
Source: Food and Agriculture Organization of the United Nations. Measured in %.
Analysis
In 2020, gender gap in informal employment by industry: agrifood systems in Myanmar stood at -17.34 %.
The figure is up 12.6% on the previous year and down 222.3% over ten years.
That places Myanmar 36th out of 39 countries with data for 2020, putting it in the bottom quarter.
Gender gap in informal employment by industry: Agrifood systems in Myanmar, year by year
| Year | % | Change |
|---|---|---|
| 2015 | -5.38 % | — |
| 2017 | -19.44 % | +261.3% |
| 2018 | -20.26 % | +4.2% |
| 2019 | -19.83 % | -2.1% |
| 2020 | -17.34 % | -12.6% |
Myanmar compared with similar countries
- Myanmar's -17.34 % is below the median for lower middle income countries, which is -4.47 %, 3.9× the median. (12 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | -16.23 % | -20.26 % | -5.38 % | 4 |
| 2020s | -17.34 % | -17.34 % | -17.34 % | 1 |
Countries ranked near Myanmar
- 33 Uruguay -10.62 % compare
- 34 Palestine, State of -10.99 % compare
- 35 Egypt -14.18 % compare
- 37 Serbia -17.85 % compare
- 38 Bosnia and Herzegovina -21.21 % compare
- 39 Kyrgyzstan -23.98 % compare
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 informal employment by industry: agrifood systems in Myanmar?
- Gender gap in informal employment by industry: agrifood systems in Myanmar was -17.34 % in 2020, according to Food and Agriculture Organization of the United Nations.
- What is the highest gender gap in informal employment by industry: agrifood systems recorded in Myanmar?
- The highest recorded value was -5.38 % in 2015.
- What is the lowest gender gap in informal employment by industry: agrifood systems recorded in Myanmar?
- The lowest recorded value was -20.26 % in 2018.
- How does Myanmar rank for gender gap in informal employment by industry: agrifood systems?
- Myanmar ranks 36th out of 39 countries with data for 2020.
- Is gender gap in informal employment by industry: agrifood systems rising or falling in Myanmar?
- Over the last ten years it is down 222.3%. The long-run trend across the full record is falling.
- 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 informal employment by industry: Agrifood systems — Value — All age ranges or no breakdown by age — National — Agrifood systems. 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.