Cyprus vs Lithuania: Use of interpolation and extrapolation on original Gini coefficient data

Cyprus
26,445
in 2017
Lithuania
26,157
in 2017
Cyprus rank
36th
Lithuania rank
39th

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

  • Cyprus
  • Lithuania
010.0k20.0k30.0k182019182017

How they compare

Cyprus currently reports 26,445 against 26,157 in Lithuania, a difference of 288.

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

Cyprus ranks 36th and Lithuania ranks 39th of 160 countries.

Across the 13 decades both report, Cyprus averaged higher in 3 and Lithuania in 10.

Head to head by decade

Decade Cyprus Lithuania Difference Ahead
1820s 867.29 869.66 2.37 Lithuania
1850s 1,036 1,039 2.83 Lithuania
1870s 1,274 1,277 3.48 Lithuania
1890s 1,698 1,715 17.21 Lithuania
1910s 2,110 2,671 561.08 Lithuania
1920s 2,450 2,746 296.11 Lithuania
1950s 2,885 5,629 2,744 Lithuania
1960s 3,496 7,816 4,320 Lithuania
1970s 6,590 11,045 4,455 Lithuania
1980s 9,451 12,734 3,283 Lithuania
1990s 15,560 13,809 1,751 Cyprus
2000s 24,246 13,612 10,633 Cyprus
2010s 27,038 22,410 4,627 Cyprus

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, Cyprus or Lithuania?
Cyprus, at 26,445 against 26,157 in Lithuania as of 2017.
What is the difference in use of interpolation and extrapolation on original gini coefficient data between Cyprus and Lithuania?
288, with Cyprus ahead.
How many years of comparable data are there for Cyprus and Lithuania?
15 years are reported by both, from 1820 to 2017.
How do Cyprus and Lithuania rank globally for use of interpolation and extrapolation on original gini coefficient data?
Cyprus ranks 36th and Lithuania ranks 39th 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.