Latvia vs Panama: Use of interpolation and extrapolation on original Gini coefficient
Latvia
23,133
in 2017
Panama
22,207
in 2017
Latvia rank
46th
Panama rank
48th
Use of interpolation and extrapolation on original Gini coefficient over time
- Latvia
- Panama
How they compare
Latvia currently reports 23,133 against 22,207 in Panama, a difference of 926.
The two have swapped places 1 time across 15 shared years of data; in 1820 it was Panama ahead.
Latvia ranks 46th and Panama ranks 48th of 160 countries.
Across the 13 decades both report, Latvia averaged higher in 9 and Panama in 4.
Head to head by decade
| Decade | Latvia | Panama | Difference | Ahead |
|---|---|---|---|---|
| 1820s | 938.3 | 1,368 | 429.76 | Panama |
| 1850s | 1,121 | 1,607 | 486.56 | Panama |
| 1870s | 1,378 | 1,969 | 590.87 | Panama |
| 1890s | 1,851 | 2,282 | 431.51 | Panama |
| 1910s | 2,882 | 2,837 | 44.9 | Latvia |
| 1920s | 2,962 | 2,605 | 357.37 | Latvia |
| 1950s | 6,074 | 2,577 | 3,497 | Latvia |
| 1960s | 8,432 | 3,217 | 5,215 | Latvia |
| 1970s | 11,916 | 5,131 | 6,786 | Latvia |
| 1980s | 13,739 | 6,849 | 6,890 | Latvia |
| 1990s | 15,806 | 7,119 | 8,687 | Latvia |
| 2000s | 14,190 | 10,644 | 3,546 | Latvia |
| 2010s | 20,136 | 18,688 | 1,448 | Latvia |
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, Latvia or Panama?
- Latvia, at 23,133 against 22,207 in Panama as of 2017.
- What is the difference in use of interpolation and extrapolation on original gini coefficient data between Latvia and Panama?
- 926, with Latvia ahead.
- How many years of comparable data are there for Latvia and Panama?
- 15 years are reported by both, from 1820 to 2017.
- How do Latvia and Panama rank globally for use of interpolation and extrapolation on original gini coefficient data?
- Latvia ranks 46th and Panama ranks 48th 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.