Use of interpolation and extrapolation on original Gini coefficient in Switzerland

Switzerland: Use of interpolation and extrapolation on original Gini coefficient was 60,171 in 2017. ◆ Volatile

Latest (2017)
60,171
World rank
4th
of 160 countries
All-time high
60,171
in 2017
All-time low
1,985
in 1820
Years of data
15
1820–2017

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

020.0k40.0k60.0k1820191820171820: 2.0k1850: 2.4k1870: 3.0k1890: 5.3k1910: 8.0k1929: 9.9k1950: 11.5k1960: 16.4k1970: 23.5k1980: 27.4k1990: 34.2k2000: 43.3k2005: 49.3k2010: 57.2k2017: 60.2k

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 Switzerland is 60,171, measured in 2017. That is the highest value across all 15 years on record.

The figure is up 22.1% over ten years.

Over the whole period, use of interpolation and extrapolation on original gini coefficient data in Switzerland peaked at 60,171 in 2017 and was at its lowest, 1,985, in 1820.

Switzerland ranks 4th 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.

Use of interpolation and extrapolation on original Gini coefficient in Switzerland, year by year

Annual values for Use of interpolation and extrapolation on original Gini coefficient data in Switzerland, 1820 to 2017.
Year Value Change
1820 1,985 —
1850 2,443 +23.1%
1870 2,954 +20.9%
1890 5,309 +79.7%
1910 8,048 +51.6%
1929 9,920 +23.3%
1950 11,541 +16.3%
1960 16,358 +41.7%
1970 23,479 +43.5%
1980 27,406 +16.7%
1990 34,250 +25.0%
2000 43,251 +26.3%
2005 49,274 +13.9%
2010 57,219 +16.1%
2017 60,171 +5.2%

Switzerland compared with similar countries

  • Switzerland's 60,171 is above the median for high income countries, which is 35,158, 1.7× the median. (50 countries reporting)
  • Switzerland's 60,171 is above the median for Europe & Central Asia, which is 24,814, 2.4× the median. (46 countries reporting)

Averages by decade

DecadeAverage LowestHighest Years
1820s 1,985 1,985 1,985 1
1850s 2,443 2,443 2,443 1
1870s 2,954 2,954 2,954 1
1890s 5,309 5,309 5,309 1
1910s 8,048 8,048 8,048 1
1920s 9,920 9,920 9,920 1
1950s 11,541 11,541 11,541 1
1960s 16,358 16,358 16,358 1
1970s 23,479 23,479 23,479 1
1980s 27,406 27,406 27,406 1
1990s 34,250 34,250 34,250 1
2000s 46,262 43,251 49,274 2
2010s 58,695 57,219 60,171 2

Countries ranked near Switzerland

  1. 1 Norway 84,056 compare
  2. 2 Singapore 67,331 compare
  3. 3 Ireland 60,544 compare
  4. 5 Luxembourg 56,780 compare
  5. 6 United States 54,008 compare
  6. 7 Saudi Arabia 50,002 compare

See the full ranking of 160 places →

More poverty & inequality data for Switzerland

All data for Switzerland →

Frequently asked questions

What is use of interpolation and extrapolation on original gini coefficient data in Switzerland?
Use of interpolation and extrapolation on original gini coefficient data in Switzerland was 60,171 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 Switzerland?
The highest recorded value was 60,171 in 2017.
What is the lowest use of interpolation and extrapolation on original gini coefficient data recorded in Switzerland?
The lowest recorded value was 1,985 in 1820.
How does Switzerland rank for use of interpolation and extrapolation on original gini coefficient data?
Switzerland ranks 4th out of 160 countries with data for 2017.
Is use of interpolation and extrapolation on original gini coefficient data rising or falling in Switzerland?
Over the last ten years it is up 22.1%. The long-run trend across the full record is volatile.
Where does this Switzerland 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.

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Use of interpolation and extrapolation on original Gini coefficient data in Switzerland. Statizoid, drawing on Various sources (2020) – processed by Our World in Data. Retrieved 12 October 2026, from https://poverty.statizoid.com/stat/use-of-interpolation-and-extrapolation-on-gini-data/switzerland/

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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.