Cameroon vs Syria: Use of interpolation and extrapolation on original Gini coefficient
Cameroon
2,850
in 2017
Syria
3,241
in 2017
Cameroon rank
130th
Syria rank
128th
Use of interpolation and extrapolation on original Gini coefficient over time
- Cameroon
- Syria
How they compare
Syria currently reports 3,241 against 2,850 in Cameroon, a difference of 391.
That makes Syria's figure about 1.1 times Cameroon's.
Across all 15 years both countries report, Syria has been ahead every year.
Cameroon ranks 130th 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 | Cameroon | Syria | Difference | Ahead |
|---|---|---|---|---|
| 1820s | 824.14 | 1,084 | 259.86 | Syria |
| 1850s | 722.86 | 1,265 | 542.59 | Syria |
| 1870s | 892.13 | 1,403 | 510.87 | Syria |
| 1890s | 865.57 | 1,682 | 816.39 | Syria |
| 1910s | 893.76 | 2,016 | 1,123 | Syria |
| 1920s | 828.23 | 2,705 | 1,877 | Syria |
| 1950s | 1,070 | 3,838 | 2,768 | Syria |
| 1960s | 1,326 | 4,819 | 3,493 | Syria |
| 1970s | 1,565 | 5,643 | 4,078 | Syria |
| 1980s | 1,900 | 10,374 | 8,474 | Syria |
| 1990s | 1,930 | 9,087 | 7,157 | Syria |
| 2000s | 2,092 | 7,353 | 5,261 | Syria |
| 2010s | 2,635 | 4,881 | 2,246 | 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, Cameroon or Syria?
- Syria, at 3,241 against 2,850 in Cameroon as of 2017.
- What is the difference in use of interpolation and extrapolation on original gini coefficient data between Cameroon and Syria?
- 391, with Syria ahead.
- How many years of comparable data are there for Cameroon and Syria?
- 15 years are reported by both, from 1820 to 2017.
- How do Cameroon and Syria rank globally for use of interpolation and extrapolation on original gini coefficient data?
- Cameroon ranks 130th 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.