Peru vs South Africa: Gender wage gap
Gender wage gap over time
- Peru
- South Africa
How they compare
South Africa currently reports 9.52 against 8.09 in Peru, a difference of 1.43.
That makes South Africa's figure about 1.2 times Peru's.
The two have swapped places 4 times across 16 shared years of data; in 2000 it was Peru ahead.
Peru ranks 31st and South Africa ranks 28th of 67 countries.
Across the 2 decades both report, Peru averaged higher in 1 and South Africa in 1.
Head to head by decade
| Decade | Peru | South Africa | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 12.23 | -4.18 | 16.41 | Peru |
| 2010s | 12.26 | 13.61 | 1.35 | South Africa |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher gender wage gap, Peru or South Africa?
- South Africa, at 9.52 against 8.09 in Peru as of 2019.
- What is the difference in gender wage gap between Peru and South Africa?
- 1.43, with South Africa ahead.
- How many years of comparable data are there for Peru and South Africa?
- 16 years are reported by both, from 2000 to 2019.
- How do Peru and South Africa rank globally for gender wage gap?
- Peru ranks 31st and South Africa ranks 28th 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.