Mauritania vs Syria: Use of interpolation and extrapolation on original Gini coefficient
Mauritania
3,431
in 2017
Syria
3,241
in 2017
Mauritania rank
125th
Syria rank
128th
Use of interpolation and extrapolation on original Gini coefficient over time
- Mauritania
- Syria
How they compare
Mauritania currently reports 3,431 against 3,241 in Syria, a difference of 190.
That makes Mauritania's figure about 1.1 times Syria's.
The two have swapped places 1 time across 15 shared years of data; in 1820 it was Syria ahead.
Mauritania ranks 125th and Syria ranks 128th of 160 countries.
Syria has averaged higher in every one of the 13 decades both report.
Head to head by decade
| Decade | Mauritania | Syria | Difference | Ahead |
|---|---|---|---|---|
| 1820s | 535.72 | 1,084 | 548.28 | Syria |
| 1850s | 469.88 | 1,265 | 795.57 | Syria |
| 1870s | 579.91 | 1,403 | 823.09 | Syria |
| 1890s | 562.65 | 1,682 | 1,119 | Syria |
| 1910s | 580.98 | 2,016 | 1,435 | Syria |
| 1920s | 538.38 | 2,705 | 2,167 | Syria |
| 1950s | 679 | 3,838 | 3,159 | Syria |
| 1960s | 913 | 4,819 | 3,906 | Syria |
| 1970s | 1,548 | 5,643 | 4,095 | Syria |
| 1980s | 1,682 | 10,374 | 8,692 | Syria |
| 1990s | 1,511 | 9,087 | 7,576 | Syria |
| 2000s | 2,153 | 7,353 | 5,200 | Syria |
| 2010s | 3,207 | 4,881 | 1,674 | Syria |
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, Mauritania or Syria?
- Mauritania, at 3,431 against 3,241 in Syria as of 2017.
- What is the difference in use of interpolation and extrapolation on original gini coefficient data between Mauritania and Syria?
- 190, with Mauritania ahead.
- How many years of comparable data are there for Mauritania and Syria?
- 15 years are reported by both, from 1820 to 2017.
- How do Mauritania and Syria rank globally for use of interpolation and extrapolation on original gini coefficient data?
- Mauritania ranks 125th and Syria ranks 128th 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.