Latvia vs Malaysia: Use of interpolation and extrapolation on original Gini coefficient
Latvia
23,133
in 2017
Malaysia
24,041
in 2017
Latvia rank
46th
Malaysia rank
45th
Use of interpolation and extrapolation on original Gini coefficient over time
- Latvia
- Malaysia
How they compare
Malaysia currently reports 24,041 against 23,133 in Latvia, a difference of 908.
The two have swapped places 6 times across 15 shared years of data; in 1820 it was Malaysia ahead.
Latvia ranks 46th and Malaysia ranks 45th of 160 countries.
Across the 13 decades both report, Latvia averaged higher in 9 and Malaysia in 4.
Head to head by decade
| Decade | Latvia | Malaysia | Difference | Ahead |
|---|---|---|---|---|
| 1820s | 938.3 | 961 | 22.7 | Malaysia |
| 1850s | 1,121 | 1,016 | 104.53 | Latvia |
| 1870s | 1,378 | 1,055 | 322.81 | Latvia |
| 1890s | 1,851 | 890.4 | 960.24 | Latvia |
| 1910s | 2,882 | 1,074 | 1,808 | Latvia |
| 1920s | 2,962 | 3,220 | 257.63 | Malaysia |
| 1950s | 6,074 | 2,485 | 3,589 | Latvia |
| 1960s | 8,432 | 2,439 | 5,993 | Latvia |
| 1970s | 11,916 | 3,314 | 8,602 | Latvia |
| 1980s | 13,739 | 5,829 | 7,910 | Latvia |
| 1990s | 15,806 | 8,179 | 7,627 | Latvia |
| 2000s | 14,190 | 14,563 | 373 | Malaysia |
| 2010s | 20,136 | 21,308 | 1,171 | Malaysia |
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 Malaysia?
- Malaysia, at 24,041 against 23,133 in Latvia as of 2017.
- What is the difference in use of interpolation and extrapolation on original gini coefficient data between Latvia and Malaysia?
- 908, with Malaysia ahead.
- How many years of comparable data are there for Latvia and Malaysia?
- 15 years are reported by both, from 1820 to 2017.
- How do Latvia and Malaysia rank globally for use of interpolation and extrapolation on original gini coefficient data?
- Latvia ranks 46th and Malaysia ranks 45th 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.