Panama vs Peru: Gini index of hourly earnings of employees
Gini index of hourly earnings of employees over time
- Panama
- Peru
How they compare
Panama currently reports 0.403 against 0.391 in Peru, a difference of 0.012.
The two have swapped places 8 times across 22 shared years of data; in 1997 it was Panama ahead.
Panama ranks 23rd and Peru ranks 26th of 55 countries.
Across the 4 decades both report, Panama averaged higher in 2 and Peru in 2.
Head to head by decade
| Decade | Panama | Peru | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 0.625 | 0.485 | 0.14 | Panama |
| 2000s | 0.4516 | 0.4882 | 0.0366 | Peru |
| 2010s | 0.4212 | 0.4334 | 0.0122 | Peru |
| 2020s | 0.442 | 0.4053 | 0.0367 | Panama |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher gini index of hourly earnings of employees, Panama or Peru?
- Panama, at 0.403 against 0.391 in Peru as of 2025.
- What is the difference in gini index of hourly earnings of employees between Panama and Peru?
- 0.012, with Panama ahead.
- How many years of comparable data are there for Panama and Peru?
- 22 years are reported by both, from 1997 to 2025.
- How do Panama and Peru rank globally for gini index of hourly earnings of employees?
- Panama ranks 23rd 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.