Israel vs Spain: Use of interpolation and extrapolation on original Gini coefficient
Israel
32,339
in 2017
Spain
30,908
in 2017
Israel rank
29th
Spain rank
31st
Use of interpolation and extrapolation on original Gini coefficient over time
- Israel
- Spain
How they compare
Israel currently reports 32,339 against 30,908 in Spain, a difference of 1,431.
The two have swapped places 2 times across 15 shared years of data; in 1820 it was Israel ahead.
Israel ranks 29th and Spain ranks 31st of 160 countries.
Across the 13 decades both report, Israel averaged higher in 11 and Spain in 2.
Head to head by decade
| Decade | Israel | Spain | Difference | Ahead |
|---|---|---|---|---|
| 1820s | 3,612 | 1,600 | 2,012 | Israel |
| 1850s | 4,180 | 1,706 | 2,474 | Israel |
| 1870s | 4,241 | 1,809 | 2,432 | Israel |
| 1890s | 4,302 | 2,463 | 1,839 | Israel |
| 1910s | 4,364 | 2,823 | 1,541 | Israel |
| 1920s | 4,423 | 4,173 | 250.15 | Israel |
| 1950s | 4,490 | 3,464 | 1,026 | Israel |
| 1960s | 7,433 | 5,037 | 2,396 | Israel |
| 1970s | 12,913 | 9,511 | 3,402 | Israel |
| 1980s | 17,508 | 14,008 | 3,500 | Israel |
| 1990s | 20,829 | 19,215 | 1,614 | Israel |
| 2000s | 25,872 | 28,940 | 3,068 | Spain |
| 2010s | 30,458 | 31,347 | 889.5 | Spain |
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 Spain?
- Israel, at 32,339 against 30,908 in Spain as of 2017.
- What is the difference in use of interpolation and extrapolation on original gini coefficient data between Israel and Spain?
- 1,431, with Israel ahead.
- How many years of comparable data are there for Israel and Spain?
- 15 years are reported by both, from 1820 to 2017.
- How do Israel and Spain rank globally for use of interpolation and extrapolation on original gini coefficient data?
- Israel ranks 29th and Spain ranks 31st 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
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.