Australia vs Hong Kong: Use of interpolation and extrapolation on original Gini coefficient data

Australia
49,266
in 2017
Hong Kong
49,919
in 2017
Australia rank
9th
Hong Kong rank
8th

Use of interpolation and extrapolation on original Gini coefficient data over time

  • Australia
  • Hong Kong
010.0k20.0k30.0k40.0k50.0k182019182017

How they compare

Hong Kong currently reports 49,919 against 49,266 in Australia, a difference of 653.

The two have swapped places 4 times across 15 shared years of data; in 1820 it was Hong Kong ahead.

Australia ranks 9th and Hong Kong ranks 8th of 160 countries.

Across the 13 decades both report, Australia averaged higher in 11 and Hong Kong in 2.

Head to head by decade

Decade Australia Hong Kong Difference Ahead
1820s 826 1,132 306 Hong Kong
1850s 3,148 1,205 1,943 Australia
1870s 5,217 1,256 3,961 Australia
1890s 7,106 1,682 5,424 Australia
1910s 8,305 2,253 6,052 Australia
1920s 8,389 2,987 5,402 Australia
1950s 11,815 4,082 7,733 Australia
1960s 14,013 5,088 8,925 Australia
1970s 19,166 9,250 9,916 Australia
1980s 22,972 17,086 5,886 Australia
1990s 27,373 27,960 587 Hong Kong
2000s 39,254 35,543 3,710 Australia
2010s 47,333 46,545 788 Australia

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, Australia or Hong Kong?
Hong Kong, at 49,919 against 49,266 in Australia as of 2017.
What is the difference in use of interpolation and extrapolation on original gini coefficient data between Australia and Hong Kong?
653, with Hong Kong ahead.
How many years of comparable data are there for Australia and Hong Kong?
15 years are reported by both, from 1820 to 2017.
How do Australia and Hong Kong rank globally for use of interpolation and extrapolation on original gini coefficient data?
Australia ranks 9th and Hong Kong ranks 8th 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.

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Australia vs Hong Kong: Use of interpolation and extrapolation on original Gini coefficient data. Statizoid, drawing on Various sources (2020) – processed by Our World in Data. Retrieved 29 August 2026, from https://poverty.statizoid.com/compare/use-of-interpolation-and-extrapolation-on-gini-data/australia/hong-kong-sar-china/

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<a href="https://poverty.statizoid.com/compare/use-of-interpolation-and-extrapolation-on-gini-data/australia/hong-kong-sar-china/">Australia vs Hong Kong: Use of interpolation and extrapolation on original Gini coefficient data</a> — Statizoid

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.