India vs Laos: Use of interpolation and extrapolation on original Gini coefficient
India
6,449
in 2017
Laos
6,166
in 2017
India rank
107th
Laos rank
110th
Use of interpolation and extrapolation on original Gini coefficient over time
- India
- Laos
How they compare
India currently reports 6,449 against 6,166 in Laos, a difference of 283.
Across all 15 years both countries report, India has been ahead every year.
India ranks 107th and Laos ranks 110th of 160 countries.
India has averaged higher in every one of the 13 decades both report.
Head to head by decade
| Decade | India | Laos | Difference | Ahead |
|---|---|---|---|---|
| 1820s | 935.34 | 400.94 | 534.4 | India |
| 1850s | 947 | 404.49 | 542.51 | India |
| 1870s | 850 | 419.05 | 430.95 | India |
| 1890s | 931 | 485.34 | 445.66 | India |
| 1910s | 1,111 | 578.05 | 532.95 | India |
| 1920s | 1,160 | 807.15 | 352.85 | India |
| 1950s | 987 | 697 | 290 | India |
| 1960s | 1,200 | 771 | 429 | India |
| 1970s | 1,384 | 850 | 534 | India |
| 1980s | 1,495 | 1,054 | 441 | India |
| 1990s | 2,087 | 1,481 | 606 | India |
| 2000s | 3,075 | 2,606 | 469.5 | India |
| 2010s | 5,488 | 5,140 | 347.5 | India |
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 Laos?
- India, at 6,449 against 6,166 in Laos as of 2017.
- What is the difference in use of interpolation and extrapolation on original gini coefficient data between India and Laos?
- 283, with India ahead.
- How many years of comparable data are there for India and Laos?
- 15 years are reported by both, from 1820 to 2017.
- How do India and Laos rank globally for use of interpolation and extrapolation on original gini coefficient data?
- India ranks 107th and Laos ranks 110th 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.