Kenya vs Syria: Use of interpolation and extrapolation on original Gini coefficient

Kenya
3,250
in 2017
Syria
3,241
in 2017
Kenya rank
127th
Syria rank
128th

Use of interpolation and extrapolation on original Gini coefficient over time

  • Kenya
  • Syria
02.0k4.0k6.0k8.0k10.0k182019182017

How they compare

Kenya currently reports 3,250 against 3,241 in Syria, a difference of 9.

The two have swapped places 1 time across 15 shared years of data; in 1820 it was Syria ahead.

Kenya ranks 127th and Syria ranks 128th of 160 countries.

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

Head to head by decade

Decade Kenya Syria Difference Ahead
1820s 537.95 1,084 546.05 Syria
1850s 471.84 1,265 793.61 Syria
1870s 582.32 1,403 820.68 Syria
1890s 612.14 1,682 1,070 Syria
1910s 644.83 2,016 1,372 Syria
1920s 839.77 2,705 1,865 Syria
1950s 1,038 3,838 2,800 Syria
1960s 1,157 4,819 3,662 Syria
1970s 1,458 5,643 4,185 Syria
1980s 1,675 10,374 8,699 Syria
1990s 1,780 9,087 7,307 Syria
2000s 2,036 7,353 5,316 Syria
2010s 2,915 4,881 1,966 Syria

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, Kenya or Syria?
Kenya, at 3,250 against 3,241 in Syria as of 2017.
What is the difference in use of interpolation and extrapolation on original gini coefficient data between Kenya and Syria?
9, with Kenya ahead.
How many years of comparable data are there for Kenya and Syria?
15 years are reported by both, from 1820 to 2017.
How do Kenya and Syria rank globally for use of interpolation and extrapolation on original gini coefficient data?
Kenya ranks 127th and Syria ranks 128th 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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Kenya vs Syria: Use of interpolation and extrapolation on original Gini coefficient data. Statizoid, drawing on Various sources (2020) – processed by Our World in Data. Retrieved 13 October 2026, from https://poverty.statizoid.com/compare/use-of-interpolation-and-extrapolation-on-gini-data/kenya/syrian-arab-republic/

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<a href="https://poverty.statizoid.com/compare/use-of-interpolation-and-extrapolation-on-gini-data/kenya/syrian-arab-republic/">Kenya vs Syria: Use of interpolation and extrapolation on original Gini coefficient data</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.