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

Argentina
19,201
in 2017
Mauritius
19,522
in 2017
Argentina rank
53rd
Mauritius rank
52nd

Use of interpolation and extrapolation on original Gini coefficient over time

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

How they compare

Mauritius currently reports 19,522 against 19,201 in Argentina, a difference of 321.

The two have swapped places 4 times across 15 shared years of data; in 1820 it was Mauritius ahead.

Argentina ranks 53rd and Mauritius ranks 52nd of 160 countries.

Across the 13 decades both report, Argentina averaged higher in 8 and Mauritius in 5.

Head to head by decade

Decade Argentina Mauritius Difference Ahead
1820s 1,591 3,696 2,105 Mauritius
1850s 1,994 3,242 1,248 Mauritius
1870s 2,340 4,001 1,661 Mauritius
1890s 3,851 3,954 103.34 Mauritius
1910s 6,092 3,601 2,491 Argentina
1920s 6,961 3,151 3,810 Argentina
1950s 7,949 3,942 4,007 Argentina
1960s 8,861 4,396 4,465 Argentina
1970s 11,639 4,662 6,977 Argentina
1980s 13,080 6,970 6,110 Argentina
1990s 10,254 11,489 1,235 Mauritius
2000s 14,856 14,498 358 Argentina
2010s 19,090 17,896 1,195 Argentina

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 Mauritius?
Mauritius, at 19,522 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 Mauritius?
321, with Mauritius ahead.
How many years of comparable data are there for Argentina and Mauritius?
15 years are reported by both, from 1820 to 2017.
How do Argentina and Mauritius rank globally for use of interpolation and extrapolation on original gini coefficient data?
Argentina ranks 53rd and Mauritius ranks 52nd 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 Mauritius: 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/mauritius/

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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.