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

Australia: Use of interpolation and extrapolation on original Gini coefficient data was 49,266 in 2017. β—† Volatile

Latest (2017)
49,266
World rank
9th
of 160 countries
All-time high
49,266
in 2017
All-time low
826
in 1820
Years of data
15
1820–2017

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

010.0k20.0k30.0k40.0k50.0k1820191820171820: 8261850: 3.1k1870: 5.2k1890: 7.1k1910: 8.3k1929: 8.4k1950: 11.8k1960: 14.0k1970: 19.2k1980: 23.0k1990: 27.4k2000: 36.6k2005: 41.9k2010: 45.4k2017: 49.3k

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

Analysis

In 2017, use of interpolation and extrapolation on original gini coefficient data in Australia stood at 49,266. That is the highest value across all 15 years on record.

Compared with earlier readings it is up 17.6% over ten years.

Over the whole period, use of interpolation and extrapolation on original gini coefficient data in Australia peaked at 49,266 in 2017 and was at its lowest, 826, in 1820.

Australia ranks 9th of 160 countries on this measure, in the top 10%.

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

Averages by decade

DecadeAverage LowestHighest Years
1820s 826 826 826 1
1850s 3,148 3,148 3,148 1
1870s 5,217 5,217 5,217 1
1890s 7,106 7,106 7,106 1
1910s 8,305 8,305 8,305 1
1920s 8,389 8,389 8,389 1
1950s 11,815 11,815 11,815 1
1960s 14,013 14,013 14,013 1
1970s 19,166 19,166 19,166 1
1980s 22,972 22,972 22,972 1
1990s 27,373 27,373 27,373 1
2000s 39,254 36,603 41,904 2
2010s 47,333 45,400 49,266 2

Countries ranked near Australia

  1. 6 United States 54,008 compare
  2. 7 Saudi Arabia 50,002 compare
  3. 8 Hong Kong 49,919 compare
  4. 10 Netherlands 46,651 compare
  5. 11 Germany 45,620 compare
  6. 12 Denmark 45,456 compare

See the full ranking of 160 places β†’

More poverty & inequality data for Australia

All data for Australia β†’

Frequently asked questions

What is use of interpolation and extrapolation on original gini coefficient data in Australia?
Use of interpolation and extrapolation on original gini coefficient data in Australia was 49,266 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 Australia?
The highest recorded value was 49,266 in 2017.
What is the lowest use of interpolation and extrapolation on original gini coefficient data recorded in Australia?
The lowest recorded value was 826 in 1820.
How does Australia rank for use of interpolation and extrapolation on original gini coefficient data?
Australia ranks 9th out of 160 countries with data for 2017.
Is use of interpolation and extrapolation on original gini coefficient data rising or falling in Australia?
Over the last ten years it is up 17.6%. The long-run trend across the full record is volatile.
Where does this Australia 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.