Argentina vs Croatia: Use of interpolation and extrapolation on original Gini coefficient

Argentina
19,201
in 2017
Croatia
21,232
in 2017
Argentina rank
53rd
Croatia rank
50th

Use of interpolation and extrapolation on original Gini coefficient over time

  • Argentina
  • Croatia
05.0k10.0k15.0k20.0k182019182017

How they compare

Croatia currently reports 21,232 against 19,201 in Argentina, a difference of 2,031.

That makes Croatia's figure about 1.1 times Argentina's.

The two have swapped places 3 times across 15 shared years of data; in 1820 it was Argentina ahead.

Argentina ranks 53rd and Croatia ranks 50th of 160 countries.

Across the 13 decades both report, Argentina averaged higher in 9 and Croatia in 4.

Head to head by decade

Decade Argentina Croatia Difference Ahead
1820s 1,591 801.93 789.07 Argentina
1850s 1,994 957.96 1,036 Argentina
1870s 2,340 1,178 1,162 Argentina
1890s 3,851 1,659 2,192 Argentina
1910s 6,092 2,080 4,012 Argentina
1920s 6,961 2,685 4,276 Argentina
1950s 7,949 3,053 4,896 Argentina
1960s 8,861 5,067 3,794 Argentina
1970s 11,639 8,751 2,888 Argentina
1980s 13,080 14,193 1,113 Croatia
1990s 10,254 12,948 2,694 Croatia
2000s 14,856 15,413 556.5 Croatia
2010s 19,090 20,372 1,281 Croatia

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, Argentina or Croatia?
Croatia, at 21,232 against 19,201 in Argentina as of 2017.
What is the difference in use of interpolation and extrapolation on original gini coefficient data between Argentina and Croatia?
2,031, with Croatia ahead.
How many years of comparable data are there for Argentina and Croatia?
15 years are reported by both, from 1820 to 2017.
How do Argentina and Croatia rank globally for use of interpolation and extrapolation on original gini coefficient data?
Argentina ranks 53rd and Croatia ranks 50th 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.

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Argentina vs Croatia: Use of interpolation and extrapolation on original Gini coefficient data. Statizoid, drawing on Various sources (2020) – processed by Our World in Data. Retrieved 12 October 2026, from https://poverty.statizoid.com/compare/use-of-interpolation-and-extrapolation-on-gini-data/argentina/croatia/

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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.