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

Colombia
13,358
in 2017
Libya
13,008
in 2017
Colombia rank
70th
Libya rank
72nd

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

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

How they compare

Colombia currently reports 13,358 against 13,008 in Libya, a difference of 350.

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

Colombia ranks 70th and Libya ranks 72nd of 160 countries.

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

Head to head by decade

Decade Colombia Libya Difference Ahead
1820s 850 341.16 508.84 Colombia
1850s 784 394.86 389.14 Colombia
1870s 1,078 432.01 645.99 Colombia
1890s 1,144 482.07 661.93 Colombia
1910s 1,242 581.85 660.15 Colombia
1920s 2,399 560.13 1,839 Colombia
1950s 3,432 620 2,812 Colombia
1960s 3,980 1,323 2,657 Colombia
1970s 4,932 6,591 1,659 Libya
1980s 6,786 8,741 1,955 Libya
1990s 7,693 4,921 2,772 Colombia
2000s 9,011 13,155 4,144 Libya
2010s 12,275 21,082 8,808 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, Colombia or Libya?
Colombia, at 13,358 against 13,008 in Libya as of 2017.
What is the difference in use of interpolation and extrapolation on original gini coefficient data between Colombia and Libya?
350, with Colombia ahead.
How many years of comparable data are there for Colombia and Libya?
15 years are reported by both, from 1820 to 2017.
How do Colombia and Libya rank globally for use of interpolation and extrapolation on original gini coefficient data?
Colombia ranks 70th 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.