Argentina vs Thailand: Gini index of hourly earnings of employees
Gini index of hourly earnings of employees over time
- Argentina
- Thailand
How they compare
Argentina currently reports 0.377 against 0.37 in Thailand, a difference of 0.007.
The two have swapped places 1 time across 10 shared years of data; in 2014 it was Thailand ahead.
Argentina ranks 30th and Thailand ranks 32nd of 55 countries.
Across the 2 decades both report, Argentina averaged higher in 1 and Thailand in 1.
Head to head by decade
| Decade | Argentina | Thailand | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.3595 | 0.4083 | 0.0488 | Thailand |
| 2020s | 0.3993 | 0.3862 | 0.0132 | Argentina |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher gini index of hourly earnings of employees, Argentina or Thailand?
- Argentina, at 0.377 against 0.37 in Thailand as of 2025.
- What is the difference in gini index of hourly earnings of employees between Argentina and Thailand?
- 0.007, with Argentina ahead.
- How many years of comparable data are there for Argentina and Thailand?
- 10 years are reported by both, from 2014 to 2025.
- How do Argentina and Thailand rank globally for gini index of hourly earnings of employees?
- Argentina ranks 30th and Thailand ranks 32nd 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.