Canada vs Germany: Use of interpolation and extrapolation on original Gini coefficient
Canada
44,592
in 2017
Germany
45,620
in 2017
Canada rank
14th
Germany rank
11th
Use of interpolation and extrapolation on original Gini coefficient over time
- Canada
- Germany
How they compare
Germany currently reports 45,620 against 44,592 in Canada, a difference of 1,028.
The two have swapped places 2 times across 15 shared years of data; in 1820 it was Germany ahead.
Canada ranks 14th and Germany ranks 11th of 160 countries.
Across the 13 decades both report, Canada averaged higher in 8 and Germany in 5.
Head to head by decade
| Decade | Canada | Germany | Difference | Ahead |
|---|---|---|---|---|
| 1820s | 1,441 | 1,572 | 131 | Germany |
| 1850s | 2,120 | 2,276 | 156 | Germany |
| 1870s | 2,702 | 2,931 | 229 | Germany |
| 1890s | 3,790 | 3,870 | 80 | Germany |
| 1910s | 6,481 | 5,337 | 1,144 | Canada |
| 1920s | 8,074 | 6,457 | 1,617 | Canada |
| 1950s | 11,622 | 6,186 | 5,436 | Canada |
| 1960s | 13,952 | 12,282 | 1,670 | Canada |
| 1970s | 19,207 | 17,277 | 1,930 | Canada |
| 1980s | 25,784 | 22,497 | 3,287 | Canada |
| 1990s | 30,082 | 25,391 | 4,691 | Canada |
| 2000s | 38,714 | 34,786 | 3,928 | Canada |
| 2010s | 42,900 | 43,365 | 464.5 | Germany |
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, Canada or Germany?
- Germany, at 45,620 against 44,592 in Canada as of 2017.
- What is the difference in use of interpolation and extrapolation on original gini coefficient data between Canada and Germany?
- 1,028, with Germany ahead.
- How many years of comparable data are there for Canada and Germany?
- 15 years are reported by both, from 1820 to 2017.
- How do Canada and Germany rank globally for use of interpolation and extrapolation on original gini coefficient data?
- Canada ranks 14th 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.