Germany vs Venezuela: Gini index of monthly earnings of employees (15+)
Gini index of monthly earnings of employees (15+) over time
- Germany
- Venezuela
How they compare
Venezuela currently reports 0.363 against 0.357 in Germany, a difference of 0.006.
The two have swapped places 2 times across 10 shared years of data; in 2005 it was Venezuela ahead.
Germany ranks 36th and Venezuela ranks 35th of 93 countries.
Germany has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Germany | Venezuela | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 0.369 | 0.309 | 0.06 | Germany |
| 2010s | 0.3636 | 0.2916 | 0.072 | Germany |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher gini index of monthly earnings of employees, Germany or Venezuela?
- Venezuela, at 0.363 against 0.357 in Germany as of 2017.
- What is the difference in gini index of monthly earnings of employees between Germany and Venezuela?
- 0.006, with Venezuela ahead.
- How many years of comparable data are there for Germany and Venezuela?
- 10 years are reported by both, from 2005 to 2017.
- How do Germany and Venezuela rank globally for gini index of monthly earnings of employees?
- Germany ranks 36th and Venezuela ranks 35th 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.