Malaysia vs Russia: Use of interpolation and extrapolation on original Gini coefficient
Malaysia
24,041
in 2017
Russia
24,043
in 2017
Malaysia rank
45th
Russia rank
44th
Use of interpolation and extrapolation on original Gini coefficient over time
- Malaysia
- Russia
How they compare
Russia currently reports 24,043 against 24,041 in Malaysia, a difference of 2.
The two have swapped places 5 times across 15 shared years of data; in 1820 it was Malaysia ahead.
Malaysia ranks 45th and Russia ranks 44th of 160 countries.
Across the 13 decades both report, Malaysia averaged higher in 5 and Russia in 8.
Head to head by decade
| Decade | Malaysia | Russia | Difference | Ahead |
|---|---|---|---|---|
| 1820s | 961 | 618.34 | 342.66 | Malaysia |
| 1850s | 1,016 | 738.65 | 277.69 | Malaysia |
| 1870s | 1,055 | 907.97 | 147.03 | Malaysia |
| 1890s | 890.4 | 1,220 | 329.17 | Russia |
| 1910s | 1,074 | 1,899 | 825.17 | Russia |
| 1920s | 3,220 | 1,952 | 1,268 | Malaysia |
| 1950s | 2,485 | 4,002 | 1,517 | Russia |
| 1960s | 2,439 | 5,557 | 3,118 | Russia |
| 1970s | 3,314 | 9,234 | 5,920 | Russia |
| 1980s | 5,829 | 12,204 | 6,375 | Russia |
| 1990s | 8,179 | 12,400 | 4,221 | Russia |
| 2000s | 14,563 | 13,398 | 1,165 | Malaysia |
| 2010s | 21,308 | 22,890 | 1,582 | Russia |
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, Malaysia or Russia?
- Russia, at 24,043 against 24,041 in Malaysia as of 2017.
- What is the difference in use of interpolation and extrapolation on original gini coefficient data between Malaysia and Russia?
- 2, with Russia ahead.
- How many years of comparable data are there for Malaysia and Russia?
- 15 years are reported by both, from 1820 to 2017.
- How do Malaysia and Russia rank globally for use of interpolation and extrapolation on original gini coefficient data?
- Malaysia ranks 45th and Russia ranks 44th 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.