Syria vs Tanzania: Use of interpolation and extrapolation on original Gini coefficient
Syria
3,241
in 2017
Tanzania
2,763
in 2017
Syria rank
128th
Tanzania rank
131st
Use of interpolation and extrapolation on original Gini coefficient over time
- Syria
- Tanzania
How they compare
Syria currently reports 3,241 against 2,763 in Tanzania, a difference of 478.
That makes Syria's figure about 1.2 times Tanzania's.
Across all 15 years both countries report, Syria has been ahead every year.
Syria ranks 128th and Tanzania ranks 131st of 160 countries.
Syria has averaged higher in every one of the 13 decades both report.
Head to head by decade
| Decade | Syria | Tanzania | Difference | Ahead |
|---|---|---|---|---|
| 1820s | 1,084 | 495.51 | 588.49 | Syria |
| 1850s | 1,265 | 434.61 | 830.84 | Syria |
| 1870s | 1,403 | 536.38 | 866.62 | Syria |
| 1890s | 1,682 | 563.85 | 1,118 | Syria |
| 1910s | 2,016 | 593.96 | 1,422 | Syria |
| 1920s | 2,705 | 605.34 | 2,100 | Syria |
| 1950s | 3,838 | 676 | 3,162 | Syria |
| 1960s | 4,819 | 732 | 4,087 | Syria |
| 1970s | 5,643 | 905 | 4,738 | Syria |
| 1980s | 10,374 | 958 | 9,416 | Syria |
| 1990s | 9,087 | 875 | 8,212 | Syria |
| 2000s | 7,353 | 1,352 | 6,002 | Syria |
| 2010s | 4,881 | 2,416 | 2,465 | 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, Syria or Tanzania?
- Syria, at 3,241 against 2,763 in Tanzania as of 2017.
- What is the difference in use of interpolation and extrapolation on original gini coefficient data between Syria and Tanzania?
- 478, with Syria ahead.
- How many years of comparable data are there for Syria and Tanzania?
- 15 years are reported by both, from 1820 to 2017.
- How do Syria and Tanzania rank globally for use of interpolation and extrapolation on original gini coefficient data?
- Syria ranks 128th and Tanzania ranks 131st 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.