Chile vs Latvia: Use of interpolation and extrapolation on original Gini coefficient
Chile
21,650
in 2017
Latvia
23,133
in 2017
Chile rank
49th
Latvia rank
46th
Use of interpolation and extrapolation on original Gini coefficient over time
- Chile
- Latvia
How they compare
Latvia currently reports 23,133 against 21,650 in Chile, a difference of 1,483.
That makes Latvia's figure about 1.1 times Chile's.
The two have swapped places 4 times across 15 shared years of data; in 1820 it was Latvia ahead.
Chile ranks 49th and Latvia ranks 46th of 160 countries.
Across the 13 decades both report, Chile averaged higher in 7 and Latvia in 6.
Head to head by decade
| Decade | Chile | Latvia | Difference | Ahead |
|---|---|---|---|---|
| 1820s | 824 | 938.3 | 114.3 | Latvia |
| 1850s | 1,352 | 1,121 | 231.13 | Chile |
| 1870s | 1,868 | 1,378 | 490.19 | Chile |
| 1890s | 2,907 | 1,851 | 1,056 | Chile |
| 1910s | 4,485 | 2,882 | 1,603 | Chile |
| 1920s | 5,679 | 2,962 | 2,717 | Chile |
| 1950s | 5,880 | 6,074 | 193.59 | Latvia |
| 1960s | 6,781 | 8,432 | 1,651 | Latvia |
| 1970s | 8,195 | 11,916 | 3,722 | Latvia |
| 1980s | 9,024 | 13,739 | 4,715 | Latvia |
| 1990s | 10,203 | 15,806 | 5,603 | Latvia |
| 2000s | 16,174 | 14,190 | 1,984 | Chile |
| 2010s | 20,280 | 20,136 | 143.5 | Chile |
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, Chile or Latvia?
- Latvia, at 23,133 against 21,650 in Chile as of 2017.
- What is the difference in use of interpolation and extrapolation on original gini coefficient data between Chile and Latvia?
- 1,483, with Latvia ahead.
- How many years of comparable data are there for Chile and Latvia?
- 15 years are reported by both, from 1820 to 2017.
- How do Chile and Latvia rank globally for use of interpolation and extrapolation on original gini coefficient data?
- Chile ranks 49th and Latvia ranks 46th 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.