Israel vs Malta: Use of interpolation and extrapolation on original Gini coefficient

Israel
32,339
in 2017
Malta
30,902
in 2017
Israel rank
29th
Malta rank
32nd

Use of interpolation and extrapolation on original Gini coefficient over time

  • Israel
  • Malta
010.0k20.0k30.0k182019182017

How they compare

Israel currently reports 32,339 against 30,902 in Malta, a difference of 1,437.

Across all 15 years both countries report, Israel has been ahead every year.

Israel ranks 29th and Malta ranks 32nd of 160 countries.

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

Head to head by decade

Decade Israel Malta Difference Ahead
1820s 3,612 472.88 3,139 Israel
1850s 4,180 564.89 3,616 Israel
1870s 4,241 694.38 3,546 Israel
1890s 4,302 925.84 3,376 Israel
1910s 4,364 1,150 3,213 Israel
1920s 4,423 1,336 3,088 Israel
1950s 4,490 1,573 2,917 Israel
1960s 7,433 2,383 5,050 Israel
1970s 12,913 3,889 9,024 Israel
1980s 17,508 8,920 8,588 Israel
1990s 20,829 13,259 7,570 Israel
2000s 25,872 21,170 4,702 Israel
2010s 30,458 27,268 3,190 Israel

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, Israel or Malta?
Israel, at 32,339 against 30,902 in Malta as of 2017.
What is the difference in use of interpolation and extrapolation on original gini coefficient data between Israel and Malta?
1,437, with Israel ahead.
How many years of comparable data are there for Israel and Malta?
15 years are reported by both, from 1820 to 2017.
How do Israel and Malta rank globally for use of interpolation and extrapolation on original gini coefficient data?
Israel ranks 29th and Malta ranks 32nd 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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Israel vs Malta: Use of interpolation and extrapolation on original Gini coefficient data. Statizoid, drawing on Various sources (2020) – processed by Our World in Data. Retrieved 12 October 2026, from https://poverty.statizoid.com/compare/use-of-interpolation-and-extrapolation-on-gini-data/israel/malta/

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<a href="https://poverty.statizoid.com/compare/use-of-interpolation-and-extrapolation-on-gini-data/israel/malta/">Israel vs Malta: 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.