Use of interpolation and extrapolation on original Gini coefficient in Cameroon

Cameroon: Use of interpolation and extrapolation on original Gini coefficient was 2,850 in 2017. ▲ Rising

Latest (2017)
2,850
World rank
130th
of 160 countries
All-time high
2,850
in 2017
All-time low
722.86
in 1850
Years of data
15
1820–2017

Use of interpolation and extrapolation on original Gini coefficient data in Cameroon, 1820–2017

5001.0k1.5k2.0k2.5k3.0k1820191820171820: 824.11850: 722.91870: 892.11890: 865.61910: 893.81929: 828.21950: 1.1k1960: 1.3k1970: 1.6k1980: 1.9k1990: 1.9k2000: 2.0k2005: 2.2k2010: 2.4k2017: 2.9k

Source: Various sources (2020) – processed by Our World in Data.

Analysis

The most recent figure for use of interpolation and extrapolation on original gini coefficient data in Cameroon is 2,850, measured in 2017. That is the highest value across all 15 years on record.

The figure is up 28.2% over ten years.

Over the whole period, use of interpolation and extrapolation on original gini coefficient data in Cameroon peaked at 2,850 in 2017 and was at its lowest, 722.86, in 1850.

Cameroon ranks 130th of 160 countries on this measure, in the bottom quarter.

The long-run direction has been consistently rising across the 15 years of available data.

Use of interpolation and extrapolation on original Gini coefficient in Cameroon, year by year

Annual values for Use of interpolation and extrapolation on original Gini coefficient data in Cameroon, 1820 to 2017.
Year Value Change
1820 824.14 —
1850 722.86 -12.3%
1870 892.13 +23.4%
1890 865.57 -3.0%
1910 893.76 +3.3%
1929 828.23 -7.3%
1950 1,070 +29.2%
1960 1,326 +23.9%
1970 1,565 +18.0%
1980 1,900 +21.4%
1990 1,930 +1.6%
2000 1,961 +1.6%
2005 2,223 +13.4%
2010 2,420 +8.9%
2017 2,850 +17.8%

Cameroon compared with similar countries

  • Cameroon's 2,850 is below the median for lower middle income countries, which is 4,205, 68% of the median. (41 countries reporting)
  • Cameroon's 2,850 is above the median for Sub-Saharan Africa, which is 2,331, 1.2× the median. (44 countries reporting)

Averages by decade

DecadeAverage LowestHighest Years
1820s 824.14 824.14 824.14 1
1850s 722.86 722.86 722.86 1
1870s 892.13 892.13 892.13 1
1890s 865.57 865.57 865.57 1
1910s 893.76 893.76 893.76 1
1920s 828.23 828.23 828.23 1
1950s 1,070 1,070 1,070 1
1960s 1,326 1,326 1,326 1
1970s 1,565 1,565 1,565 1
1980s 1,900 1,900 1,900 1
1990s 1,930 1,930 1,930 1
2000s 2,092 1,961 2,223 2
2010s 2,635 2,420 2,850 2

Countries ranked near Cameroon

  1. 127 Kenya 3,250 compare
  2. 128 Syria 3,241 compare
  3. 129 Djibouti 3,168 compare
  4. 131 Tanzania 2,763 compare
  5. 132 Lesotho 2,721 compare
  6. 133 Nepal 2,600 compare

See the full ranking of 160 places →

More poverty & inequality data for Cameroon

All data for Cameroon →

Frequently asked questions

What is use of interpolation and extrapolation on original gini coefficient data in Cameroon?
Use of interpolation and extrapolation on original gini coefficient data in Cameroon was 2,850 in 2017, according to Various sources (2020) – processed by Our World in Data.
What is the highest use of interpolation and extrapolation on original gini coefficient data recorded in Cameroon?
The highest recorded value was 2,850 in 2017.
What is the lowest use of interpolation and extrapolation on original gini coefficient data recorded in Cameroon?
The lowest recorded value was 722.86 in 1850.
How does Cameroon rank for use of interpolation and extrapolation on original gini coefficient data?
Cameroon ranks 130th out of 160 countries with data for 2017.
Is use of interpolation and extrapolation on original gini coefficient data rising or falling in Cameroon?
Over the last ten years it is up 28.2%. The long-run trend across the full record is rising.
Where does this Cameroon data come from?
The figures come from Various sources (2020) – processed by Our World in Data, published as part of Use of interpolation and extrapolation on original Gini coefficient data. Statizoid updates them automatically from the source API.

Download this data

CSV · JSON — 15 observations, free to reuse under CC BY 4.0 (Our World in Data).

Share, cite or embed this page

Cite this page

Use of interpolation and extrapolation on original Gini coefficient data in Cameroon. Statizoid, drawing on Various sources (2020) – processed by Our World in Data. Retrieved 13 October 2026, from https://poverty.statizoid.com/stat/use-of-interpolation-and-extrapolation-on-gini-data/cameroon/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under CC BY 4.0 (Our World in Data); please keep the attribution.

<a href="https://poverty.statizoid.com/stat/use-of-interpolation-and-extrapolation-on-gini-data/cameroon/">Use of interpolation and extrapolation on original Gini coefficient data in Cameroon</a> — Statizoid

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.