Lithuania vs Poland: Use of interpolation and extrapolation on original Gini coefficient data
Lithuania
26,157
in 2017
Poland
26,061
in 2017
Lithuania rank
39th
Poland rank
40th
Use of interpolation and extrapolation on original Gini coefficient data over time
- Lithuania
- Poland
How they compare
Lithuania currently reports 26,157 against 26,061 in Poland, a difference of 96.
The two have swapped places 6 times across 15 shared years of data; in 1820 it was Lithuania ahead.
Lithuania ranks 39th and Poland ranks 40th of 160 countries.
Across the 13 decades both report, Lithuania averaged higher in 7 and Poland in 6.
Head to head by decade
| Decade | Lithuania | Poland | Difference | Ahead |
|---|---|---|---|---|
| 1820s | 869.66 | 818 | 51.66 | Lithuania |
| 1850s | 1,039 | 985 | 53.87 | Lithuania |
| 1870s | 1,277 | 1,575 | 297.98 | Poland |
| 1890s | 1,715 | 2,204 | 488.73 | Poland |
| 1910s | 2,671 | 2,694 | 22.91 | Poland |
| 1920s | 2,746 | 3,374 | 628.33 | Poland |
| 1950s | 5,629 | 3,900 | 1,729 | Lithuania |
| 1960s | 7,816 | 5,125 | 2,691 | Lithuania |
| 1970s | 11,045 | 7,058 | 3,987 | Lithuania |
| 1980s | 12,734 | 9,149 | 3,585 | Lithuania |
| 1990s | 13,809 | 8,150 | 5,659 | Lithuania |
| 2000s | 13,612 | 14,156 | 544 | Poland |
| 2010s | 22,410 | 23,335 | 924.5 | Poland |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher use of interpolation and extrapolation on original gini coefficient data, Lithuania or Poland?
- Lithuania, at 26,157 against 26,061 in Poland as of 2017.
- What is the difference in use of interpolation and extrapolation on original gini coefficient data between Lithuania and Poland?
- 96, with Lithuania ahead.
- How many years of comparable data are there for Lithuania and Poland?
- 15 years are reported by both, from 1820 to 2017.
- How do Lithuania and Poland rank globally for use of interpolation and extrapolation on original gini coefficient data?
- Lithuania ranks 39th and Poland ranks 40th of 160 countries.
- Where does this data come from?
- Various sources (2020) – processed by Our World in Data, published as Use of interpolation and extrapolation on original Gini coefficient data. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
In order to produce global estimates of historical poverty trends we have interpolated or extrapolated inequality data for missing observations. Green indicates observations of the Gini coefficient available in the original source.