Iraq vs Libya: Use of interpolation and extrapolation on original Gini coefficient data

Iraq
13,211
in 2017
Libya
13,008
in 2017
Iraq rank
71st
Libya rank
72nd

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

  • Iraq
  • Libya
010.0k20.0k30.0k182019182017

How they compare

Iraq currently reports 13,211 against 13,008 in Libya, a difference of 203.

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

Iraq ranks 71st and Libya ranks 72nd of 160 countries.

Across the 13 decades both report, Iraq averaged higher in 9 and Libya in 4.

Head to head by decade

Decade Iraq Libya Difference Ahead
1820s 877 341.16 535.84 Iraq
1850s 923.58 394.86 528.72 Iraq
1870s 956 432.01 523.99 Iraq
1890s 1,093 482.07 610.93 Iraq
1910s 1,250 581.85 667.79 Iraq
1920s 1,606 560.13 1,046 Iraq
1950s 2,174 620 1,554 Iraq
1960s 4,360 1,323 3,037 Iraq
1970s 5,536 6,591 1,055 Libya
1980s 10,165 8,741 1,424 Iraq
1990s 3,918 4,921 1,003 Libya
2000s 5,045 13,155 8,110 Libya
2010s 11,742 21,082 9,340 Libya

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, Iraq or Libya?
Iraq, at 13,211 against 13,008 in Libya as of 2017.
What is the difference in use of interpolation and extrapolation on original gini coefficient data between Iraq and Libya?
203, with Iraq ahead.
How many years of comparable data are there for Iraq and Libya?
15 years are reported by both, from 1820 to 2017.
How do Iraq and Libya rank globally for use of interpolation and extrapolation on original gini coefficient data?
Iraq ranks 71st and Libya ranks 72nd 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.