Estonia vs Lithuania: Use of interpolation and extrapolation on original Gini coefficient
Estonia
26,254
in 2017
Lithuania
26,157
in 2017
Estonia rank
38th
Lithuania rank
39th
Use of interpolation and extrapolation on original Gini coefficient over time
- Estonia
- Lithuania
How they compare
Estonia currently reports 26,254 against 26,157 in Lithuania, a difference of 97.
Across all 15 years both countries report, Estonia has been ahead every year.
Estonia ranks 38th and Lithuania ranks 39th of 160 countries.
Estonia has averaged higher in every one of the 13 decades both report.
Head to head by decade
| Decade | Estonia | Lithuania | Difference | Ahead |
|---|---|---|---|---|
| 1820s | 1,578 | 869.66 | 708.4 | Estonia |
| 1850s | 1,885 | 1,039 | 846.24 | Estonia |
| 1870s | 2,317 | 1,277 | 1,040 | Estonia |
| 1890s | 3,277 | 1,715 | 1,561 | Estonia |
| 1910s | 4,633 | 2,671 | 1,962 | Estonia |
| 1920s | 6,439 | 2,746 | 3,694 | Estonia |
| 1950s | 9,264 | 5,629 | 3,635 | Estonia |
| 1960s | 11,017 | 7,816 | 3,201 | Estonia |
| 1970s | 13,100 | 11,045 | 2,055 | Estonia |
| 1980s | 15,044 | 12,734 | 2,310 | Estonia |
| 1990s | 17,247 | 13,809 | 3,438 | Estonia |
| 2000s | 19,663 | 13,612 | 6,050 | Estonia |
| 2010s | 23,484 | 22,410 | 1,073 | Estonia |
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, Estonia or Lithuania?
- Estonia, at 26,254 against 26,157 in Lithuania as of 2017.
- What is the difference in use of interpolation and extrapolation on original gini coefficient data between Estonia and Lithuania?
- 97, with Estonia ahead.
- How many years of comparable data are there for Estonia and Lithuania?
- 15 years are reported by both, from 1820 to 2017.
- How do Estonia and Lithuania rank globally for use of interpolation and extrapolation on original gini coefficient data?
- Estonia ranks 38th and Lithuania ranks 39th 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.