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

Germany
45,620
in 2017
Hong Kong
49,919
in 2017
Germany rank
11th
Hong Kong rank
8th

Use of interpolation and extrapolation on original Gini coefficient over time

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

How they compare

Hong Kong currently reports 49,919 against 45,620 in Germany, a difference of 4,299.

That makes Hong Kong's figure about 1.1 times Germany's.

The two have swapped places 3 times across 15 shared years of data; in 1820 it was Germany ahead.

Germany ranks 11th and Hong Kong ranks 8th of 160 countries.

Across the 13 decades both report, Germany averaged higher in 10 and Hong Kong in 3.

Head to head by decade

Decade Germany Hong Kong Difference Ahead
1820s 1,572 1,132 440 Germany
1850s 2,276 1,205 1,071 Germany
1870s 2,931 1,256 1,675 Germany
1890s 3,870 1,682 2,188 Germany
1910s 5,337 2,253 3,084 Germany
1920s 6,457 2,987 3,470 Germany
1950s 6,186 4,082 2,104 Germany
1960s 12,282 5,088 7,194 Germany
1970s 17,277 9,250 8,027 Germany
1980s 22,497 17,086 5,411 Germany
1990s 25,391 27,960 2,569 Hong Kong
2000s 34,786 35,543 756.5 Hong Kong
2010s 43,365 46,545 3,180 Hong Kong

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, Germany or Hong Kong?
Hong Kong, at 49,919 against 45,620 in Germany as of 2017.
What is the difference in use of interpolation and extrapolation on original gini coefficient data between Germany and Hong Kong?
4,299, with Hong Kong ahead.
How many years of comparable data are there for Germany and Hong Kong?
15 years are reported by both, from 1820 to 2017.
How do Germany and Hong Kong rank globally for use of interpolation and extrapolation on original gini coefficient data?
Germany ranks 11th 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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Germany 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 12 October 2026, from https://poverty.statizoid.com/compare/use-of-interpolation-and-extrapolation-on-gini-data/germany/hong-kong-sar-china/

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<a href="https://poverty.statizoid.com/compare/use-of-interpolation-and-extrapolation-on-gini-data/germany/hong-kong-sar-china/">Germany 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.