Use of interpolation and extrapolation on gini data in Switzerland
Switzerland: Use of interpolation and extrapolation on gini data was 60,171 in 2017. ◆ Volatile
Use of interpolation and extrapolation on gini data in Switzerland, 1820–2017
Source: Our World in Data.
Analysis
The most recent figure for use of interpolation and extrapolation on gini 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 gini 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.
Averages by decade
| Decade | Average | Lowest | Highest | 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 Norway 84,056 compare
- 2 Singapore 67,331 compare
- 3 Ireland 60,544 compare
- 5 Luxembourg 56,780 compare
- 6 United States 54,008 compare
- 7 Saudi Arabia 50,002 compare
More poverty & inequality data for Switzerland
- Data deprivation poverty surveys per decade 7 (2025)
- Fertility rate vs the share living in extreme poverty 1.43 (2023)
- Cereal yield vs extreme poverty 5,706 (2023)
- Tax revenues vs income inequality 26.79 (2023)
- Gender inequality index from the human development report 0.01 (2023)
- Share of government consumption in gdp vs share in extreme poverty 7.75 (2023)
- Gini coefficient of lifespan inequality in females 0.0694 (2023)
- Gini coefficient of lifespan inequality by sex 0.0694 (2023)
- Gini coefficient of lifespan inequality in males 0.0821 (2023)
- Income inequality atkinson index undp 0.1767 (2023)
Frequently asked questions
- What is use of interpolation and extrapolation on gini data in Switzerland?
- Use of interpolation and extrapolation on gini data in Switzerland was 60,171 in 2017, according to Our World in Data.
- What is the highest use of interpolation and extrapolation on gini data recorded in Switzerland?
- The highest recorded value was 60,171 in 2017.
- What is the lowest use of interpolation and extrapolation on gini data recorded in Switzerland?
- The lowest recorded value was 1,985 in 1820.
- How does Switzerland rank for use of interpolation and extrapolation on gini data?
- Switzerland ranks 4th out of 160 countries with data for 2017.
- Is use of interpolation and extrapolation on gini 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 Our World in Data, published as part of Use of interpolation and extrapolation on gini data. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 15 observations, free to reuse under CC BY 4.0 (Our World in Data).