Use of interpolation and extrapolation on original Gini coefficient data in Austria

Austria: Use of interpolation and extrapolation on original Gini coefficient data was 42,177 in 2017. β—† Volatile

Latest (2017)
42,177
World rank
17th
of 160 countries
All-time high
42,177
in 2017
All-time low
1,941
in 1820
Years of data
15
1820–2017

Use of interpolation and extrapolation on original Gini coefficient data in Austria, 1820–2017

010.0k20.0k30.0k40.0k1820191820171820: 1.9k1850: 2.6k1870: 3.0k1890: 3.9k1910: 5.2k1929: 5.9k1950: 5.9k1960: 10.4k1970: 15.5k1980: 21.9k1990: 26.9k2000: 34.8k2005: 37.6k2010: 40.3k2017: 42.2k

Source: Various sources (2020) – processed by Our World in Data.

Analysis

The most recent figure for use of interpolation and extrapolation on original gini coefficient data in Austria is 42,177, measured in 2017. That is the highest value across all 15 years on record.

Compared with earlier readings it is up 12.0% over ten years.

Over the whole period, use of interpolation and extrapolation on original gini coefficient data in Austria peaked at 42,177 in 2017 and was at its lowest, 1,941, in 1820.

That places Austria 17th out of 160 countries with data for 2017, putting it in the top quarter.

The series is highly variable year to year, so single readings are best treated with caution.

Averages by decade

DecadeAverage LowestHighest Years
1820s 1,941 1,941 1,941 1
1850s 2,630 2,630 2,630 1
1870s 2,970 2,970 2,970 1
1890s 3,894 3,894 3,894 1
1910s 5,244 5,244 5,244 1
1920s 5,896 5,896 5,896 1
1950s 5,907 5,907 5,907 1
1960s 10,391 10,391 10,391 1
1970s 15,537 15,537 15,537 1
1980s 21,932 21,932 21,932 1
1990s 26,930 26,930 26,930 1
2000s 36,220 34,796 37,643 2
2010s 41,232 40,288 42,177 2

Countries ranked near Austria

  1. 14 Canada 44,592 compare
  2. 15 Taiwan 43,504 compare
  3. 16 Iceland 42,978 compare
  4. 18 Bahrain 40,696 compare
  5. 19 Belgium 39,352 compare
  6. 20 Japan 38,415 compare

See the full ranking of 160 places β†’

More poverty & inequality data for Austria

All data for Austria β†’

Frequently asked questions

What is use of interpolation and extrapolation on original gini coefficient data in Austria?
Use of interpolation and extrapolation on original gini coefficient data in Austria was 42,177 in 2017, according to Various sources (2020) – processed by Our World in Data.
What is the highest use of interpolation and extrapolation on original gini coefficient data recorded in Austria?
The highest recorded value was 42,177 in 2017.
What is the lowest use of interpolation and extrapolation on original gini coefficient data recorded in Austria?
The lowest recorded value was 1,941 in 1820.
How does Austria rank for use of interpolation and extrapolation on original gini coefficient data?
Austria ranks 17th out of 160 countries with data for 2017.
Is use of interpolation and extrapolation on original gini coefficient data rising or falling in Austria?
Over the last ten years it is up 12.0%. The long-run trend across the full record is volatile.
Where does this Austria data come from?
The figures come from Various sources (2020) – processed by Our World in Data, published as part of Use of interpolation and extrapolation on original Gini coefficient data. Statizoid updates them automatically from the source API.

Download this data

CSV Β· JSON β€” 15 observations, free to reuse under CC BY 4.0 (Our World in Data).

About this data

Indicator
Use of interpolation and extrapolation on original Gini coefficient data
Source
Various sources (2020) – processed by Our World in Data
Licence
CC BY 4.0 (Our World in Data)
Coverage
160 places, 2,400 data points, 1820–2017
Last refreshed

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.