Poland vs Turkmenistan: Use of interpolation and extrapolation on original Gini coefficient
Poland
26,061
in 2017
Turkmenistan
25,070
in 2017
Poland rank
40th
Turkmenistan rank
41st
Use of interpolation and extrapolation on original Gini coefficient over time
- Poland
- Turkmenistan
How they compare
Poland currently reports 26,061 against 25,070 in Turkmenistan, a difference of 991.
Across all 15 years both countries report, Poland has been ahead every year.
Poland ranks 40th and Turkmenistan ranks 41st of 160 countries.
Poland has averaged higher in every one of the 13 decades both report.
Head to head by decade
| Decade | Poland | Turkmenistan | Difference | Ahead |
|---|---|---|---|---|
| 1820s | 818 | 461.88 | 356.12 | Poland |
| 1850s | 985 | 551.74 | 433.26 | Poland |
| 1870s | 1,575 | 678.22 | 896.78 | Poland |
| 1890s | 2,204 | 910.98 | 1,293 | Poland |
| 1910s | 2,694 | 1,419 | 1,275 | Poland |
| 1920s | 3,374 | 1,458 | 1,916 | Poland |
| 1950s | 3,900 | 2,990 | 910.29 | Poland |
| 1960s | 5,125 | 4,151 | 974.12 | Poland |
| 1970s | 7,058 | 5,866 | 1,192 | Poland |
| 1980s | 9,149 | 6,763 | 2,386 | Poland |
| 1990s | 8,150 | 5,796 | 2,354 | Poland |
| 2000s | 14,156 | 6,482 | 7,674 | Poland |
| 2010s | 23,335 | 19,734 | 3,602 | 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, Poland or Turkmenistan?
- Poland, at 26,061 against 25,070 in Turkmenistan as of 2017.
- What is the difference in use of interpolation and extrapolation on original gini coefficient data between Poland and Turkmenistan?
- 991, with Poland ahead.
- How many years of comparable data are there for Poland and Turkmenistan?
- 15 years are reported by both, from 1820 to 2017.
- How do Poland and Turkmenistan rank globally for use of interpolation and extrapolation on original gini coefficient data?
- Poland ranks 40th and Turkmenistan ranks 41st 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.