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

Argentina
19,201
in 2017
Uruguay
19,918
in 2017
Argentina rank
53rd
Uruguay rank
51st

Use of interpolation and extrapolation on original Gini coefficient over time

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

How they compare

Uruguay currently reports 19,918 against 19,201 in Argentina, a difference of 717.

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

Argentina ranks 53rd and Uruguay ranks 51st of 160 countries.

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

Head to head by decade

Decade Argentina Uruguay Difference Ahead
1820s 1,591 1,983 392 Uruguay
1850s 1,994 2,467 473 Uruguay
1870s 2,340 3,677 1,337 Uruguay
1890s 3,851 3,628 223 Argentina
1910s 6,092 4,500 1,592 Argentina
1920s 6,961 5,128 1,833 Argentina
1950s 7,949 7,015 934 Argentina
1960s 8,861 7,643 1,218 Argentina
1970s 11,639 8,030 3,609 Argentina
1980s 13,080 10,546 2,534 Argentina
1990s 10,254 10,305 51 Uruguay
2000s 14,856 12,904 1,953 Argentina
2010s 19,090 18,167 923.5 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 Uruguay?
Uruguay, at 19,918 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 Uruguay?
717, with Uruguay ahead.
How many years of comparable data are there for Argentina and Uruguay?
15 years are reported by both, from 1820 to 2017.
How do Argentina and Uruguay rank globally for use of interpolation and extrapolation on original gini coefficient data?
Argentina ranks 53rd and Uruguay ranks 51st 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 Uruguay: 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/uruguay/

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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.