Cuba vs India: School life expectancy, post-secondary non-tertiary, gender parity ind
School life expectancy, post-secondary non-tertiary, gender parity ind over time
- Cuba
- India
How they compare
India currently reports 3.42 GPI against 2.97 GPI in Cuba, a difference of 0.45 GPI.
That makes India's figure about 1.1 times Cuba's.
The two have swapped places 5 times across 16 shared years of data; in 1999 it was Cuba ahead.
Cuba ranks 5th and India ranks 4th of 106 countries.
Across the 3 decades both report, Cuba averaged higher in 2 and India in 1.
Head to head by decade
| Decade | Cuba | India | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 2.22 GPI | 0.97 GPI | 1.25 GPI | Cuba |
| 2000s | 3.12 GPI | 0.3943 GPI | 2.73 GPI | Cuba |
| 2010s | 2.87 GPI | 3.05 GPI | 0.178 GPI | India |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher school life expectancy, post-secondary non-tertiary, gender parity ind, Cuba or India?
- India, at 3.42 GPI against 2.97 GPI in Cuba as of 2019.
- What is the difference in school life expectancy, post-secondary non-tertiary, gender parity ind between Cuba and India?
- 0.45 GPI, with India ahead.
- How many years of comparable data are there for Cuba and India?
- 16 years are reported by both, from 1999 to 2019.
- How do Cuba and India rank globally for school life expectancy, post-secondary non-tertiary, gender parity ind?
- Cuba ranks 5th and India ranks 4th of 106 countries.
- Where does this data come from?
- UNESCO Institute for Statistics, published as School life expectancy, post-secondary non-tertiary, 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 school life expectancy to the male school life expectancy. 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.