Singapore vs Switzerland: Use of interpolation and extrapolation on original Gini coefficient

Singapore
67,331
in 2017
Switzerland
60,171
in 2017
Singapore rank
2nd
Switzerland rank
4th

Use of interpolation and extrapolation on original Gini coefficient over time

  • Singapore
  • Switzerland
020.0k40.0k60.0k182019182017

How they compare

Singapore currently reports 67,331 against 60,171 in Switzerland, a difference of 7,160.

That makes Singapore's figure about 1.1 times Switzerland's.

The two have swapped places 1 time across 15 shared years of data; in 1820 it was Switzerland ahead.

Singapore ranks 2nd and Switzerland ranks 4th of 160 countries.

Across the 13 decades both report, Singapore averaged higher in 1 and Switzerland in 12.

Head to head by decade

Decade Singapore Switzerland Difference Ahead
1820s 1,362 1,985 623.04 Switzerland
1850s 1,374 2,443 1,069 Switzerland
1870s 1,423 2,954 1,531 Switzerland
1890s 1,906 5,309 3,403 Switzerland
1910s 2,732 8,048 5,316 Switzerland
1920s 3,323 9,920 6,597 Switzerland
1950s 3,572 11,541 7,969 Switzerland
1960s 3,464 16,358 12,894 Switzerland
1970s 6,650 23,479 16,829 Switzerland
1980s 13,601 27,406 13,805 Switzerland
1990s 22,666 34,250 11,584 Switzerland
2000s 41,236 46,262 5,026 Switzerland
2010s 62,972 58,695 4,277 Singapore

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, Singapore or Switzerland?
Singapore, at 67,331 against 60,171 in Switzerland as of 2017.
What is the difference in use of interpolation and extrapolation on original gini coefficient data between Singapore and Switzerland?
7,160, with Singapore ahead.
How many years of comparable data are there for Singapore and Switzerland?
15 years are reported by both, from 1820 to 2017.
How do Singapore and Switzerland rank globally for use of interpolation and extrapolation on original gini coefficient data?
Singapore ranks 2nd and Switzerland ranks 4th 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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Singapore vs Switzerland: 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/singapore/switzerland/

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<a href="https://poverty.statizoid.com/compare/use-of-interpolation-and-extrapolation-on-gini-data/singapore/switzerland/">Singapore vs Switzerland: 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.