Indonesia vs Panama: Gini index of monthly earnings of employees
Gini index of monthly earnings of employees over time
- Indonesia
- Panama
How they compare
Indonesia currently reports 0.401 against 0.395 in Panama, a difference of 0.006.
The two have swapped places 3 times across 20 shared years of data; in 1997 it was Panama ahead.
Indonesia ranks 22nd and Panama ranks 24th of 93 countries.
Across the 4 decades both report, Indonesia averaged higher in 1 and Panama in 3.
Head to head by decade
| Decade | Indonesia | Panama | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 0.396 | 0.566 | 0.17 | Panama |
| 2000s | 0.4084 | 0.4406 | 0.0322 | Panama |
| 2010s | 0.4469 | 0.3943 | 0.0526 | Indonesia |
| 2020s | 0.4108 | 0.413 | 0.0022 | Panama |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher gini index of monthly earnings of employees, Indonesia or Panama?
- Indonesia, at 0.401 against 0.395 in Panama as of 2023.
- What is the difference in gini index of monthly earnings of employees between Indonesia and Panama?
- 0.006, with Indonesia ahead.
- How many years of comparable data are there for Indonesia and Panama?
- 20 years are reported by both, from 1997 to 2023.
- How do Indonesia and Panama rank globally for gini index of monthly earnings of employees?
- Indonesia ranks 22nd and Panama ranks 24th of 93 countries.
- Where does this data come from?
- International Labour Organization, published as Gini index of monthly 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.