Moldova vs Peru: Gender wage gap
Gender wage gap over time
- Moldova
- Peru
How they compare
Moldova currently reports 8.58 against 8.09 in Peru, a difference of 0.49.
That makes Moldova's figure about 1.1 times Peru's.
The two have swapped places 4 times across 19 shared years of data; in 2007 it was Moldova ahead.
Moldova ranks 30th and Peru ranks 31st of 67 countries.
Across the 3 decades both report, Moldova averaged higher in 1 and Peru in 2.
Head to head by decade
| Decade | Moldova | Peru | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 14.11 | 11.94 | 2.17 | Moldova |
| 2010s | 5.94 | 11.51 | 5.56 | Peru |
| 2020s | 4.98 | 7.31 | 2.33 | Peru |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher gender wage gap, Moldova or Peru?
- Moldova, at 8.58 against 8.09 in Peru as of 2025.
- What is the difference in gender wage gap between Moldova and Peru?
- 0.49, with Moldova ahead.
- How many years of comparable data are there for Moldova and Peru?
- 19 years are reported by both, from 2007 to 2025.
- How do Moldova and Peru rank globally for gender wage gap?
- Moldova ranks 30th and Peru ranks 31st of 67 countries.
- Where does this data come from?
- International Labour Organization, published as Gender wage gap. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
With the aim of promoting international comparability, statistics presented on ILOSTAT are based on standard international definitions wherever feasible and may differ from official national figures. The gender wage gap is unadjusted and is calculated as the difference between average earnings of men and average earnings of women expressed as a percentage of average earnings of men. This indicator provides a measure of the relative difference between the earnings of men and those of women. Data disaggregated by occupation are provided according to the latest version of the International Standard Classification of Occupations (ISCO). Data may have been regrouped from the national classifications, which may not be strictly compatible with ISCO. For more information, refer to the Wages and Working Time Statistics (COND) database description.