India vs Moldova: Use of interpolation and extrapolation on original Gini coefficient
India
6,449
in 2017
Moldova
6,419
in 2017
India rank
107th
Moldova rank
109th
Use of interpolation and extrapolation on original Gini coefficient over time
- India
- Moldova
How they compare
India currently reports 6,449 against 6,419 in Moldova, a difference of 30.
The two have swapped places 2 times across 15 shared years of data; in 1820 it was India ahead.
India ranks 107th and Moldova ranks 109th of 160 countries.
Across the 13 decades both report, India averaged higher in 2 and Moldova in 11.
Head to head by decade
| Decade | India | Moldova | Difference | Ahead |
|---|---|---|---|---|
| 1820s | 935.34 | 619.98 | 315.36 | India |
| 1850s | 947 | 740.61 | 206.39 | India |
| 1870s | 850 | 910.38 | 60.38 | Moldova |
| 1890s | 931 | 1,223 | 291.81 | Moldova |
| 1910s | 1,111 | 1,904 | 793.21 | Moldova |
| 1920s | 1,160 | 1,957 | 797.37 | Moldova |
| 1950s | 987 | 4,013 | 3,026 | Moldova |
| 1960s | 1,200 | 5,572 | 4,372 | Moldova |
| 1970s | 1,384 | 7,874 | 6,490 | Moldova |
| 1980s | 1,495 | 9,078 | 7,583 | Moldova |
| 1990s | 2,087 | 9,835 | 7,748 | Moldova |
| 2000s | 3,075 | 3,532 | 457 | Moldova |
| 2010s | 5,488 | 5,517 | 29.5 | Moldova |
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, India or Moldova?
- India, at 6,449 against 6,419 in Moldova as of 2017.
- What is the difference in use of interpolation and extrapolation on original gini coefficient data between India and Moldova?
- 30, with India ahead.
- How many years of comparable data are there for India and Moldova?
- 15 years are reported by both, from 1820 to 2017.
- How do India and Moldova rank globally for use of interpolation and extrapolation on original gini coefficient data?
- India ranks 107th and Moldova ranks 109th 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.