Djibouti vs Lesotho: Use of interpolation and extrapolation on original Gini coefficient
Djibouti
3,168
in 2017
Lesotho
2,721
in 2017
Djibouti rank
129th
Lesotho rank
132nd
Use of interpolation and extrapolation on original Gini coefficient over time
- Djibouti
- Lesotho
How they compare
Djibouti currently reports 3,168 against 2,721 in Lesotho, a difference of 447.
That makes Djibouti's figure about 1.2 times Lesotho's.
The two have swapped places 2 times across 15 shared years of data; in 1820 it was Djibouti ahead.
Djibouti ranks 129th and Lesotho ranks 132nd of 160 countries.
Djibouti has averaged higher in every one of the 13 decades both report.
Head to head by decade
| Decade | Djibouti | Lesotho | Difference | Ahead |
|---|---|---|---|---|
| 1820s | 2,366 | 493.34 | 1,873 | Djibouti |
| 1850s | 2,075 | 432.71 | 1,643 | Djibouti |
| 1870s | 2,561 | 534.04 | 2,027 | Djibouti |
| 1890s | 2,635 | 534.04 | 2,101 | Djibouti |
| 1910s | 2,866 | 534.04 | 2,332 | Djibouti |
| 1920s | 2,782 | 534.04 | 2,248 | Djibouti |
| 1950s | 3,459 | 631 | 2,828 | Djibouti |
| 1960s | 4,087 | 813 | 3,274 | Djibouti |
| 1970s | 4,774 | 1,073 | 3,701 | Djibouti |
| 1980s | 3,167 | 1,589 | 1,578 | Djibouti |
| 1990s | 2,308 | 1,882 | 426 | Djibouti |
| 2000s | 2,004 | 1,990 | 13.5 | Djibouti |
| 2010s | 2,856 | 2,518 | 338.5 | Djibouti |
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, Djibouti or Lesotho?
- Djibouti, at 3,168 against 2,721 in Lesotho as of 2017.
- What is the difference in use of interpolation and extrapolation on original gini coefficient data between Djibouti and Lesotho?
- 447, with Djibouti ahead.
- How many years of comparable data are there for Djibouti and Lesotho?
- 15 years are reported by both, from 1820 to 2017.
- How do Djibouti and Lesotho rank globally for use of interpolation and extrapolation on original gini coefficient data?
- Djibouti ranks 129th and Lesotho ranks 132nd 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.