Austria vs Iceland: Use of interpolation and extrapolation on original Gini coefficient
Austria
42,177
in 2017
Iceland
42,978
in 2017
Austria rank
17th
Iceland rank
16th
Use of interpolation and extrapolation on original Gini coefficient over time
- Austria
- Iceland
How they compare
Iceland currently reports 42,978 against 42,177 in Austria, a difference of 801.
The two have swapped places 6 times across 15 shared years of data; in 1820 it was Iceland ahead.
Austria ranks 17th and Iceland ranks 16th of 160 countries.
Across the 13 decades both report, Austria averaged higher in 3 and Iceland in 10.
Head to head by decade
| Decade | Austria | Iceland | Difference | Ahead |
|---|---|---|---|---|
| 1820s | 1,941 | 2,274 | 332.88 | Iceland |
| 1850s | 2,630 | 2,799 | 168.9 | Iceland |
| 1870s | 2,970 | 3,385 | 415.23 | Iceland |
| 1890s | 3,894 | 4,249 | 354.52 | Iceland |
| 1910s | 5,244 | 5,458 | 214.04 | Iceland |
| 1920s | 5,896 | 7,271 | 1,375 | Iceland |
| 1950s | 5,907 | 8,498 | 2,591 | Iceland |
| 1960s | 10,391 | 10,959 | 568 | Iceland |
| 1970s | 15,537 | 14,830 | 707 | Austria |
| 1980s | 21,932 | 24,528 | 2,596 | Iceland |
| 1990s | 26,930 | 28,760 | 1,830 | Iceland |
| 2000s | 36,220 | 35,496 | 723.5 | Austria |
| 2010s | 41,232 | 39,626 | 1,607 | Austria |
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, Austria or Iceland?
- Iceland, at 42,978 against 42,177 in Austria as of 2017.
- What is the difference in use of interpolation and extrapolation on original gini coefficient data between Austria and Iceland?
- 801, with Iceland ahead.
- How many years of comparable data are there for Austria and Iceland?
- 15 years are reported by both, from 1820 to 2017.
- How do Austria and Iceland rank globally for use of interpolation and extrapolation on original gini coefficient data?
- Austria ranks 17th and Iceland ranks 16th 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.