Canada vs Denmark: Use of interpolation and extrapolation on original Gini coefficient data

Canada
44,592
in 2017
Denmark
45,456
in 2017
Canada rank
14th
Denmark rank
12th

Use of interpolation and extrapolation on original Gini coefficient data over time

  • Canada
  • Denmark
010.0k20.0k30.0k40.0k50.0k182019182017

How they compare

Denmark currently reports 45,456 against 44,592 in Canada, a difference of 864.

The two have swapped places 6 times across 15 shared years of data; in 1820 it was Denmark ahead.

Canada ranks 14th and Denmark ranks 12th of 160 countries.

Across the 13 decades both report, Canada averaged higher in 4 and Denmark in 9.

Head to head by decade

Decade Canada Denmark Difference Ahead
1820s 1,441 2,031 590 Denmark
1850s 2,120 2,817 697 Denmark
1870s 2,702 3,193 491 Denmark
1890s 3,790 4,022 232 Denmark
1910s 6,481 5,906 575 Canada
1920s 8,074 8,089 15 Denmark
1950s 11,622 11,067 555 Canada
1960s 13,952 14,046 94 Denmark
1970s 19,207 20,221 1,014 Denmark
1980s 25,784 24,272 1,512 Canada
1990s 30,082 29,412 670 Canada
2000s 38,714 40,643 1,929 Denmark
2010s 42,900 44,194 1,294 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, Canada or Denmark?
Denmark, at 45,456 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 Denmark?
864, with Denmark ahead.
How many years of comparable data are there for Canada and Denmark?
15 years are reported by both, from 1820 to 2017.
How do Canada and Denmark rank globally for use of interpolation and extrapolation on original gini coefficient data?
Canada ranks 14th and Denmark ranks 12th 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

Indicator
Use of interpolation and extrapolation on original Gini coefficient data
Source
Various sources (2020) – processed by Our World in Data
Licence
CC BY 4.0 (Our World in Data)
Coverage
160 places, 2,400 data points, 1820–2017
Last refreshed

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.