Korea vs Lithuania: Decile ratios of gross earnings — Interdecile ratio of gross earnings
Korea
1.63 Factor of decile 1
in 2025
Lithuania
1.7 Factor of decile 1
in 2024
Korea rank
3rd
Lithuania rank
3rd
Decile ratios of gross earnings — Interdecile ratio of gross earnings over time
- Korea
- Lithuania
How they compare
Lithuania currently reports 1.7 Factor of decile 1 against 1.63 Factor of decile 1 in Korea, a difference of 0.07 Factor of decile 1.
The two have swapped places 2 times across 11 shared years of data; in 2002 it was Lithuania ahead.
Korea ranks 3rd and Lithuania ranks 3rd of 3 groups.
Across the 3 decades both report, Korea averaged higher in 1 and Lithuania in 2.
Head to head by decade
| Decade | Korea | Lithuania | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 2.1 Factor of decile 1 | 2.13 Factor of decile 1 | 0.0314 Factor of decile 1 | Lithuania |
| 2010s | 1.82 Factor of decile 1 | 1.79 Factor of decile 1 | 0.0276 Factor of decile 1 | Korea |
| 2020s | 1.61 Factor of decile 1 | 1.74 Factor of decile 1 | 0.125 Factor of decile 1 | Lithuania |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher decile ratios of gross earnings — interdecile ratio of gross earnings, Korea or Lithuania?
- Lithuania, at 1.7 Factor of decile 1 against 1.63 Factor of decile 1 in Korea as of 2024.
- What is the difference in decile ratios of gross earnings — interdecile ratio of gross earnings between Korea and Lithuania?
- 0.07 Factor of decile 1, with Lithuania ahead.
- How many years of comparable data are there for Korea and Lithuania?
- 11 years are reported by both, from 2002 to 2024.
- How do Korea and Lithuania rank globally for decile ratios of gross earnings — interdecile ratio of gross earnings?
- Korea ranks 3rd and Lithuania ranks 3rd of 3 groups.
- Where does this data come from?
- Organisation for Economic Co-operation and Development, published as Decile ratios of gross earnings — Interdecile ratio of gross earnings. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
This dataset contains three earnings-dispersion measures - ratio of 9th-to-1st, 9th-to-5th and 5th-to-1st - where 9th, 5th (median) and 1st deciles are upper-earnings decile limits, unless otherwise indicated, of gross earnings of full-time dependent employees.