Comoros vs India: Gross enrolment ratio, lower secondary, gender parity index
Gross enrolment ratio, lower secondary, gender parity index over time
- Comoros
- India
How they compare
Comoros currently reports 1.05 GPI against 1.04 GPI in India, a difference of 0.01 GPI.
The two have swapped places 3 times across 10 shared years of data; in 1999 it was Comoros ahead.
Comoros ranks 32nd and India ranks 35th of 188 countries.
Across the 3 decades both report, Comoros averaged higher in 2 and India in 1.
Head to head by decade
| Decade | Comoros | India | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 0.833 GPI | 0.7443 GPI | 0.0886 GPI | Comoros |
| 2000s | 0.8257 GPI | 0.8221 GPI | 0.0036 GPI | Comoros |
| 2010s | 1.04 GPI | 1.05 GPI | 0.0115 GPI | India |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher gross enrolment ratio, lower secondary, gender parity index, Comoros or India?
- Comoros, at 1.05 GPI against 1.04 GPI in India as of 2018.
- What is the difference in gross enrolment ratio, lower secondary, gender parity index between Comoros and India?
- 0.01 GPI, with Comoros ahead.
- How many years of comparable data are there for Comoros and India?
- 10 years are reported by both, from 1999 to 2018.
- How do Comoros and India rank globally for gross enrolment ratio, lower secondary, gender parity index?
- Comoros ranks 32nd and India ranks 35th of 188 countries.
- Where does this data come from?
- UNESCO Institute for Statistics, published as Gross enrolment ratio, lower secondary, gender parity index (GPI). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Ratio of female gross enrolment ratio for lower secondary to the male gross enrolment ratio for lower secondary. It is calculated by dividing the female value for the indicator by the male value for the indicator. A GPI equal to 1 indicates parity between females and males. In general, a value less than 1 indicates disparity in favor of males and a value greater than 1 indicates disparity in favor of females.