Cameroon vs Lesotho: Use of interpolation and extrapolation on original Gini coefficient data

Cameroon
2,850
in 2017
Lesotho
2,721
in 2017
Cameroon rank
130th
Lesotho rank
132nd

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

  • Cameroon
  • Lesotho
5001.0k1.5k2.0k2.5k3.0k182019182017

How they compare

Cameroon currently reports 2,850 against 2,721 in Lesotho, a difference of 129.

The two have swapped places 2 times across 15 shared years of data; in 1820 it was Cameroon ahead.

Cameroon ranks 130th and Lesotho ranks 132nd of 160 countries.

Cameroon has averaged higher in every one of the 13 decades both report.

Head to head by decade

Decade Cameroon Lesotho Difference Ahead
1820s 824.14 493.34 330.8 Cameroon
1850s 722.86 432.71 290.14 Cameroon
1870s 892.13 534.04 358.09 Cameroon
1890s 865.57 534.04 331.53 Cameroon
1910s 893.76 534.04 359.72 Cameroon
1920s 828.23 534.04 294.19 Cameroon
1950s 1,070 631 439 Cameroon
1960s 1,326 813 513 Cameroon
1970s 1,565 1,073 492 Cameroon
1980s 1,900 1,589 311 Cameroon
1990s 1,930 1,882 48 Cameroon
2000s 2,092 1,990 101.5 Cameroon
2010s 2,635 2,518 117.5 Cameroon

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, Cameroon or Lesotho?
Cameroon, at 2,850 against 2,721 in Lesotho as of 2017.
What is the difference in use of interpolation and extrapolation on original gini coefficient data between Cameroon and Lesotho?
129, with Cameroon ahead.
How many years of comparable data are there for Cameroon and Lesotho?
15 years are reported by both, from 1820 to 2017.
How do Cameroon and Lesotho rank globally for use of interpolation and extrapolation on original gini coefficient data?
Cameroon ranks 130th and Lesotho ranks 132nd 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.