Peru vs Slovak Republic: Gender wage gap (Organisation)
Gender wage gap (Organisation) over time
- Peru
- Slovak Republic
How they compare
Peru currently reports 22.26 Percentage of wages of men in the same decile against 4.18 Percentage of wages of men in the same decile in Slovak Republic, a difference of 18.08 Percentage of wages of men in the same decile.
That makes Peru's figure about 5.3 times Slovak Republic's.
Across all 12 years both countries report, Peru has been ahead every year.
Peru ranks 2nd and Slovak Republic ranks 3rd of 38 countries.
Peru has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Peru | Slovak Republic | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 22.27 Percentage of wages of men in the same decile | 4.8 Percentage of wages of men in the same decile | 17.47 Percentage of wages of men in the same decile | Peru |
| 2020s | 14.55 Percentage of wages of men in the same decile | 3.43 Percentage of wages of men in the same decile | 11.12 Percentage of wages of men in the same decile | Peru |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher gender wage gap, Peru or Slovak Republic?
- Peru, at 22.26 Percentage of wages of men in the same decile against 4.18 Percentage of wages of men in the same decile in Slovak Republic as of 2022.
- What is the difference in gender wage gap between Peru and Slovak Republic?
- 18.08 Percentage of wages of men in the same decile, with Peru ahead.
- How many years of comparable data are there for Peru and Slovak Republic?
- 12 years are reported by both, from 2010 to 2022.
- How do Peru and Slovak Republic rank globally for gender wage gap?
- Peru ranks 2nd and Slovak Republic ranks 3rd of 38 countries.
- Where does this data come from?
- Organisation for Economic Co-operation and Development, 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
This dataset contains gender wage gaps defined as: 1) the unadjusted difference between median wages of men and women relative to the median wages of men, 2) the unadjusted difference between mean wages of men and women relative to the mean wages of men, 3) at the 1st decile and 4) at the 9th decile.