Indonesia vs Myanmar: Average hourly earnings of employees in urban areas (2021 base)

Indonesia
3.52 USD_PPP/cap
in 2023
Myanmar
3.73 USD_PPP/cap
in 2020
Indonesia rank
29th
Myanmar rank
26th

Average hourly earnings of employees in urban areas (2021 base) over time

  • Indonesia
  • Myanmar
1.522.533.5200020112023

How they compare

Myanmar currently reports 3.73 USD_PPP/cap against 3.52 USD_PPP/cap in Indonesia, a difference of 0.21 USD_PPP/cap.

That makes Myanmar's figure about 1.1 times Indonesia's.

The two have swapped places 1 time across 5 shared years of data; in 2015 it was Indonesia ahead.

Indonesia ranks 29th and Myanmar ranks 26th of 34 countries.

Across the 2 decades both report, Indonesia averaged higher in 1 and Myanmar in 1.

Head to head by decade

Decade Indonesia Myanmar Difference Ahead
2010s 2.88 USD_PPP/cap 2.46 USD_PPP/cap 0.425 USD_PPP/cap Indonesia
2020s 3.25 USD_PPP/cap 3.73 USD_PPP/cap 0.48 USD_PPP/cap Myanmar

Averages of every year both report within each decade.

Frequently asked questions

Which has higher average hourly earnings of employees in urban areas (2021 base), Indonesia or Myanmar?
Myanmar, at 3.73 USD_PPP/cap against 3.52 USD_PPP/cap in Indonesia as of 2020.
What is the difference in average hourly earnings of employees in urban areas (2021 base) between Indonesia and Myanmar?
0.21 USD_PPP/cap, with Myanmar ahead.
How many years of comparable data are there for Indonesia and Myanmar?
5 years are reported by both, from 2015 to 2020.
How do Indonesia and Myanmar rank globally for average hourly earnings of employees in urban areas (2021 base)?
Indonesia ranks 29th and Myanmar ranks 26th of 34 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Average hourly earnings of employees in urban areas (2021 base period) — Value — All age ranges or no breakdown by age — National. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

Share, cite or embed this page

Cite this page

Indonesia vs Myanmar: Average hourly earnings of employees in urban areas (2021 base). Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 16 September 2026, from https://economy.statizoid.com/compare/average-hourly-earnings-of-employees-in-urban-areas-2021-base-period-value-all-age-ranges/indonesia/myanmar/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under CC BY-NC-SA 3.0 IGO (FAO); please keep the attribution.

<a href="https://economy.statizoid.com/compare/average-hourly-earnings-of-employees-in-urban-areas-2021-base-period-value-all-age-ranges/indonesia/myanmar/">Indonesia vs Myanmar: Average hourly earnings of employees in urban areas (2021 base)</a> — Statizoid

About this data

Indicator
Average hourly earnings of employees in urban areas (2021 base period) — Value — All age ranges or no breakdown by age — National
Unit
USD_PPP/cap
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
41 places, 512 data points, 2000–2024
Last refreshed

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.