Argentina vs Montenegro: Use of interpolation and extrapolation on original Gini coefficient
Argentina
19,201
in 2017
Montenegro
18,569
in 2017
Argentina rank
53rd
Montenegro rank
56th
Use of interpolation and extrapolation on original Gini coefficient over time
- Argentina
- Montenegro
How they compare
Argentina currently reports 19,201 against 18,569 in Montenegro, a difference of 632.
Across all 15 years both countries report, Argentina has been ahead every year.
Argentina ranks 53rd and Montenegro ranks 56th of 160 countries.
Argentina has averaged higher in every one of the 13 decades both report.
Head to head by decade
| Decade | Argentina | Montenegro | Difference | Ahead |
|---|---|---|---|---|
| 1820s | 1,591 | 386.01 | 1,205 | Argentina |
| 1850s | 1,994 | 461.12 | 1,533 | Argentina |
| 1870s | 2,340 | 566.82 | 1,773 | Argentina |
| 1890s | 3,851 | 798.58 | 3,052 | Argentina |
| 1910s | 6,092 | 1,001 | 5,091 | Argentina |
| 1920s | 6,961 | 1,292 | 5,669 | Argentina |
| 1950s | 7,949 | 1,469 | 6,480 | Argentina |
| 1960s | 8,861 | 2,439 | 6,422 | Argentina |
| 1970s | 11,639 | 4,857 | 6,782 | Argentina |
| 1980s | 13,080 | 7,992 | 5,088 | Argentina |
| 1990s | 10,254 | 6,605 | 3,649 | Argentina |
| 2000s | 14,856 | 7,524 | 7,332 | Argentina |
| 2010s | 19,090 | 16,540 | 2,551 | Argentina |
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, Argentina or Montenegro?
- Argentina, at 19,201 against 18,569 in Montenegro as of 2017.
- What is the difference in use of interpolation and extrapolation on original gini coefficient data between Argentina and Montenegro?
- 632, with Argentina ahead.
- How many years of comparable data are there for Argentina and Montenegro?
- 15 years are reported by both, from 1820 to 2017.
- How do Argentina and Montenegro rank globally for use of interpolation and extrapolation on original gini coefficient data?
- Argentina ranks 53rd 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.