Denmark vs Germany: Use of interpolation and extrapolation on original Gini coefficient data
Denmark
45,456
in 2017
Germany
45,620
in 2017
Denmark rank
12th
Germany rank
11th
Use of interpolation and extrapolation on original Gini coefficient data over time
- Denmark
- Germany
How they compare
Germany currently reports 45,620 against 45,456 in Denmark, a difference of 164.
The two have swapped places 1 time across 15 shared years of data; in 1820 it was Denmark ahead.
Denmark ranks 12th and Germany ranks 11th of 160 countries.
Denmark has averaged higher in every one of the 13 decades both report.
Head to head by decade
| Decade | Denmark | Germany | Difference | Ahead |
|---|---|---|---|---|
| 1820s | 2,031 | 1,572 | 459 | Denmark |
| 1850s | 2,817 | 2,276 | 541 | Denmark |
| 1870s | 3,193 | 2,931 | 262 | Denmark |
| 1890s | 4,022 | 3,870 | 152 | Denmark |
| 1910s | 5,906 | 5,337 | 569 | Denmark |
| 1920s | 8,089 | 6,457 | 1,632 | Denmark |
| 1950s | 11,067 | 6,186 | 4,881 | Denmark |
| 1960s | 14,046 | 12,282 | 1,764 | Denmark |
| 1970s | 20,221 | 17,277 | 2,944 | Denmark |
| 1980s | 24,272 | 22,497 | 1,775 | Denmark |
| 1990s | 29,412 | 25,391 | 4,021 | Denmark |
| 2000s | 40,643 | 34,786 | 5,856 | Denmark |
| 2010s | 44,194 | 43,365 | 829 | Denmark |
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, Denmark or Germany?
- Germany, at 45,620 against 45,456 in Denmark as of 2017.
- What is the difference in use of interpolation and extrapolation on original gini coefficient data between Denmark and Germany?
- 164, with Germany ahead.
- How many years of comparable data are there for Denmark and Germany?
- 15 years are reported by both, from 1820 to 2017.
- How do Denmark and Germany rank globally for use of interpolation and extrapolation on original gini coefficient data?
- Denmark ranks 12th and Germany ranks 11th 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.