Georgia vs Italy: Gini index of monthly earnings of employees
Gini index of monthly earnings of employees over time
- Georgia
- Italy
How they compare
Georgia currently reports 0.332 against 0.322 in Italy, a difference of 0.01.
The two have swapped places 2 times across 7 shared years of data; in 2017 it was Georgia ahead.
Georgia ranks 52nd and Italy ranks 54th of 93 countries.
Georgia has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Georgia | Italy | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.3663 | 0.215 | 0.1513 | Georgia |
| 2020s | 0.3345 | 0.3013 | 0.0333 | Georgia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher gini index of monthly earnings of employees, Georgia or Italy?
- Georgia, at 0.332 against 0.322 in Italy as of 2023.
- What is the difference in gini index of monthly earnings of employees between Georgia and Italy?
- 0.01, with Georgia ahead.
- How many years of comparable data are there for Georgia and Italy?
- 7 years are reported by both, from 2017 to 2023.
- How do Georgia and Italy rank globally for gini index of monthly earnings of employees?
- Georgia ranks 52nd and Italy ranks 54th 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.