Finland vs France: Use of interpolation and extrapolation on original Gini coefficient
Finland
38,367
in 2017
France
37,895
in 2017
Finland rank
21st
France rank
22nd
Use of interpolation and extrapolation on original Gini coefficient over time
- Finland
- France
How they compare
Finland currently reports 38,367 against 37,895 in France, a difference of 472.
The two have swapped places 1 time across 15 shared years of data; in 1820 it was France ahead.
Finland ranks 21st and France ranks 22nd of 160 countries.
Across the 13 decades both report, Finland averaged higher in 2 and France in 11.
Head to head by decade
| Decade | Finland | France | Difference | Ahead |
|---|---|---|---|---|
| 1820s | 1,313 | 1,809 | 496 | France |
| 1850s | 1,519 | 2,546 | 1,027 | France |
| 1870s | 1,817 | 2,990 | 1,173 | France |
| 1890s | 2,201 | 3,787 | 1,586 | France |
| 1910s | 3,038 | 4,726 | 1,688 | France |
| 1920s | 4,331 | 7,508 | 3,177 | France |
| 1950s | 6,779 | 8,266 | 1,487 | France |
| 1960s | 9,931 | 11,792 | 1,861 | France |
| 1970s | 15,266 | 18,187 | 2,921 | France |
| 1980s | 20,640 | 23,537 | 2,897 | France |
| 1990s | 26,884 | 28,129 | 1,245 | France |
| 2000s | 34,738 | 34,452 | 286 | Finland |
| 2010s | 37,991 | 36,991 | 1,000 | Finland |
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, Finland or France?
- Finland, at 38,367 against 37,895 in France as of 2017.
- What is the difference in use of interpolation and extrapolation on original gini coefficient data between Finland and France?
- 472, with Finland ahead.
- How many years of comparable data are there for Finland and France?
- 15 years are reported by both, from 1820 to 2017.
- How do Finland and France rank globally for use of interpolation and extrapolation on original gini coefficient data?
- Finland ranks 21st and France ranks 22nd 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.
Individual pages
About this data
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.