Lithuania vs Poland: Decile ratios of gross earnings — Interdecile ratio of gross earnings
Lithuania
1.7 Factor of decile 1
in 2024
Poland
1.69 Factor of decile 1
in 2024
Lithuania rank
3rd
Poland rank
4th
Decile ratios of gross earnings — Interdecile ratio of gross earnings over time
- Lithuania
- Poland
How they compare
Lithuania currently reports 1.7 Factor of decile 1 against 1.69 Factor of decile 1 in Poland, a difference of 0.01 Factor of decile 1.
The two have swapped places 4 times across 9 shared years of data; in 2002 it was Lithuania ahead.
Lithuania ranks 3rd and Poland ranks 4th of 8 countries.
Across the 3 decades both report, Lithuania averaged higher in 1 and Poland in 2.
Head to head by decade
| Decade | Lithuania | Poland | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 2.13 Factor of decile 1 | 2.02 Factor of decile 1 | 0.1178 Factor of decile 1 | Lithuania |
| 2010s | 1.84 Factor of decile 1 | 1.91 Factor of decile 1 | 0.0642 Factor of decile 1 | Poland |
| 2020s | 1.73 Factor of decile 1 | 1.73 Factor of decile 1 | 0.0012 Factor of decile 1 | Poland |
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, Lithuania or Poland?
- Lithuania, at 1.7 Factor of decile 1 against 1.69 Factor of decile 1 in Poland as of 2024.
- What is the difference in decile ratios of gross earnings — interdecile ratio of gross earnings between Lithuania and Poland?
- 0.01 Factor of decile 1, with Lithuania ahead.
- How many years of comparable data are there for Lithuania and Poland?
- 9 years are reported by both, from 2002 to 2024.
- How do Lithuania and Poland rank globally for decile ratios of gross earnings — interdecile ratio of gross earnings?
- Lithuania ranks 3rd and Poland ranks 4th of 8 countries.
- 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.