Cuba vs Eswatini: Use of interpolation and extrapolation on original Gini coefficient
Cuba
8,142
in 2017
Eswatini
7,963
in 2017
Cuba rank
100th
Eswatini rank
101st
Use of interpolation and extrapolation on original Gini coefficient over time
- Cuba
- Eswatini
How they compare
Cuba currently reports 8,142 against 7,963 in Eswatini, a difference of 179.
The two have swapped places 2 times across 15 shared years of data; in 1820 it was Cuba ahead.
Cuba ranks 100th and Eswatini ranks 101st of 160 countries.
Across the 13 decades both report, Cuba averaged higher in 11 and Eswatini in 2.
Head to head by decade
| Decade | Cuba | Eswatini | Difference | Ahead |
|---|---|---|---|---|
| 1820s | 755.76 | 224.33 | 531.43 | Cuba |
| 1850s | 888 | 196.76 | 691.24 | Cuba |
| 1870s | 1,148 | 242.84 | 904.83 | Cuba |
| 1890s | 1,640 | 242.84 | 1,397 | Cuba |
| 1910s | 2,069 | 310.57 | 1,758 | Cuba |
| 1920s | 2,507 | 524.84 | 1,982 | Cuba |
| 1950s | 2,638 | 604 | 2,034 | Cuba |
| 1960s | 2,994 | 783 | 2,211 | Cuba |
| 1970s | 2,976 | 1,704 | 1,272 | Cuba |
| 1980s | 4,106 | 2,946 | 1,160 | Cuba |
| 1990s | 4,713 | 3,881 | 832 | Cuba |
| 2000s | 4,362 | 5,381 | 1,020 | Eswatini |
| 2010s | 7,360 | 7,578 | 218 | Eswatini |
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, Cuba or Eswatini?
- Cuba, at 8,142 against 7,963 in Eswatini as of 2017.
- What is the difference in use of interpolation and extrapolation on original gini coefficient data between Cuba and Eswatini?
- 179, with Cuba ahead.
- How many years of comparable data are there for Cuba and Eswatini?
- 15 years are reported by both, from 1820 to 2017.
- How do Cuba and Eswatini rank globally for use of interpolation and extrapolation on original gini coefficient data?
- Cuba ranks 100th and Eswatini ranks 101st 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.