Gender gap in formal employment by industry: Agriculture — Value in Myanmar
Myanmar: Gender gap in formal employment by industry: Agriculture — Value was 18.79 % in 2020. ▲ Rising
Gender gap in formal employment by industry: Agriculture — Value in Myanmar, 2015–2020
Source: Food and Agriculture Organization of the United Nations. Measured in %.
Analysis
In 2020, gender gap in formal employment by industry: agriculture — value in Myanmar stood at 18.79 %.
The figure is down 9.5% on the previous year and up 252.5% over ten years.
Myanmar ranks 5th of 39 countries on this measure, in the top quarter.
Gender gap in formal employment by industry: Agriculture — Value in Myanmar, year by year
| Year | % | Change |
|---|---|---|
| 2015 | 5.33 % | — |
| 2017 | 20.26 % | +280.1% |
| 2018 | 21.32 % | +5.2% |
| 2019 | 20.77 % | -2.6% |
| 2020 | 18.79 % | -9.5% |
Myanmar compared with similar countries
- Myanmar's 18.79 % is above the median for lower middle income countries, which is 2.94 %, 6.4× the median. (12 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 16.92 % | 5.33 % | 21.32 % | 4 |
| 2020s | 18.79 % | 18.79 % | 18.79 % | 1 |
Countries ranked near Myanmar
- 2 Bolivia (Plurinational State of) 0.77 % compare
- 2 Serbia 33.43 % compare
- 3 Bosnia and Herzegovina 26.69 % compare
- 3 Viet Nam 0.75 % compare
- 4 North Macedonia 22.77 % compare
- 6 Egypt 14.37 % compare
- 7 Costa Rica 12 %
- 8 Uruguay 11.64 % 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 formal employment by industry: agriculture — value in Myanmar?
- Gender gap in formal employment by industry: agriculture — value in Myanmar was 18.79 % in 2020, according to Food and Agriculture Organization of the United Nations.
- What is the highest gender gap in formal employment by industry: agriculture — value recorded in Myanmar?
- The highest recorded value was 21.32 % in 2018.
- What is the lowest gender gap in formal employment by industry: agriculture — value recorded in Myanmar?
- The lowest recorded value was 5.33 % in 2015.
- How does Myanmar rank for gender gap in formal employment by industry: agriculture — value?
- Myanmar ranks 5th out of 39 countries with data for 2020.
- Is gender gap in formal employment by industry: agriculture — value rising or falling in Myanmar?
- Over the last ten years it is up 252.5%. 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 formal employment by industry: Agriculture — Value — All age ranges or no breakdown by age — National — Agriculture. 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.