Mauritius vs Peru: Gini index of hourly earnings of employees
Gini index of hourly earnings of employees over time
- Mauritius
- Peru
How they compare
Peru currently reports 0.391 against 0.382 in Mauritius, a difference of 0.009.
The two have swapped places 4 times across 23 shared years of data; in 2001 it was Peru ahead.
Mauritius ranks 28th and Peru ranks 26th of 55 countries.
Across the 3 decades both report, Mauritius averaged higher in 1 and Peru in 2.
Head to head by decade
| Decade | Mauritius | Peru | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 0.4361 | 0.4927 | 0.0566 | Peru |
| 2010s | 0.4623 | 0.4334 | 0.0289 | Mauritius |
| 2020s | 0.3865 | 0.3982 | 0.0117 | Peru |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher gini index of hourly earnings of employees, Mauritius or Peru?
- Peru, at 0.391 against 0.382 in Mauritius as of 2025.
- What is the difference in gini index of hourly earnings of employees between Mauritius and Peru?
- 0.009, with Peru ahead.
- How many years of comparable data are there for Mauritius and Peru?
- 23 years are reported by both, from 2001 to 2024.
- How do Mauritius and Peru rank globally for gini index of hourly earnings of employees?
- Mauritius ranks 28th and Peru ranks 26th of 55 countries.
- Where does this data come from?
- International Labour Organization, published as Gini index of hourly earnings of employees (15+). 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 Gini index measures the degree of inequality in the distribution of earnings among employees. It ranges from 0 to 1, where 0 indicates perfect equality (all employees have the same earnings) and higher values indicate greater inequality. The index is calculated from the distribution of employees earnings. For more information, refer to the Wages and Working Time Statistics (COND) database description.