Germany vs Sweden: Use of interpolation and extrapolation on original Gini coefficient
Germany
45,620
in 2017
Sweden
45,193
in 2017
Germany rank
11th
Sweden rank
13th
Use of interpolation and extrapolation on original Gini coefficient over time
- Germany
- Sweden
How they compare
Germany currently reports 45,620 against 45,193 in Sweden, a difference of 427.
The two have swapped places 2 times across 15 shared years of data; in 1820 it was Germany ahead.
Germany ranks 11th and Sweden ranks 13th of 160 countries.
Across the 13 decades both report, Germany averaged higher in 5 and Sweden in 8.
Head to head by decade
| Decade | Germany | Sweden | Difference | Ahead |
|---|---|---|---|---|
| 1820s | 1,572 | 1,415 | 157 | Germany |
| 1850s | 2,276 | 1,715 | 561 | Germany |
| 1870s | 2,931 | 2,144 | 787 | Germany |
| 1890s | 3,870 | 2,606 | 1,264 | Germany |
| 1910s | 5,337 | 4,053 | 1,284 | Germany |
| 1920s | 6,457 | 6,476 | 19 | Sweden |
| 1950s | 6,186 | 10,742 | 4,556 | Sweden |
| 1960s | 12,282 | 13,849 | 1,567 | Sweden |
| 1970s | 17,277 | 20,269 | 2,992 | Sweden |
| 1980s | 22,497 | 23,809 | 1,312 | Sweden |
| 1990s | 25,391 | 28,068 | 2,677 | Sweden |
| 2000s | 34,786 | 36,731 | 1,944 | Sweden |
| 2010s | 43,365 | 43,914 | 549 | Sweden |
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 Sweden?
- Germany, at 45,620 against 45,193 in Sweden as of 2017.
- What is the difference in use of interpolation and extrapolation on original gini coefficient data between Germany and Sweden?
- 427, with Germany ahead.
- How many years of comparable data are there for Germany and Sweden?
- 15 years are reported by both, from 1820 to 2017.
- How do Germany and Sweden rank globally for use of interpolation and extrapolation on original gini coefficient data?
- Germany ranks 11th and Sweden ranks 13th 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.