Belarus vs Montenegro: Use of interpolation and extrapolation on original Gini coefficient
Belarus
18,113
in 2017
Montenegro
18,569
in 2017
Belarus rank
57th
Montenegro rank
56th
Use of interpolation and extrapolation on original Gini coefficient over time
- Belarus
- Montenegro
How they compare
Montenegro currently reports 18,569 against 18,113 in Belarus, a difference of 456.
The two have swapped places 1 time across 15 shared years of data; in 1820 it was Belarus ahead.
Belarus ranks 57th and Montenegro ranks 56th of 160 countries.
Belarus has averaged higher in every one of the 13 decades both report.
Head to head by decade
| Decade | Belarus | Montenegro | Difference | Ahead |
|---|---|---|---|---|
| 1820s | 647.91 | 386.01 | 261.9 | Belarus |
| 1850s | 773.98 | 461.12 | 312.86 | Belarus |
| 1870s | 951.4 | 566.82 | 384.58 | Belarus |
| 1890s | 1,278 | 798.58 | 479.32 | Belarus |
| 1910s | 1,990 | 1,001 | 988.71 | Belarus |
| 1920s | 2,046 | 1,292 | 753.11 | Belarus |
| 1950s | 4,194 | 1,469 | 2,725 | Belarus |
| 1960s | 5,823 | 2,439 | 3,384 | Belarus |
| 1970s | 8,229 | 4,857 | 3,372 | Belarus |
| 1980s | 9,487 | 7,992 | 1,495 | Belarus |
| 1990s | 11,467 | 6,605 | 4,862 | Belarus |
| 2000s | 10,870 | 7,524 | 3,346 | Belarus |
| 2010s | 17,642 | 16,540 | 1,103 | Belarus |
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, Belarus or Montenegro?
- Montenegro, at 18,569 against 18,113 in Belarus as of 2017.
- What is the difference in use of interpolation and extrapolation on original gini coefficient data between Belarus and Montenegro?
- 456, with Montenegro ahead.
- How many years of comparable data are there for Belarus and Montenegro?
- 15 years are reported by both, from 1820 to 2017.
- How do Belarus and Montenegro rank globally for use of interpolation and extrapolation on original gini coefficient data?
- Belarus ranks 57th and Montenegro ranks 56th 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.