Mexico vs South Asia: School life expectancy, primary and lower secondary, gender parity
School life expectancy, primary and lower secondary, gender parity over time
- Mexico
- South Asia
How they compare
Mexico currently reports 1.04 GPI against 0.9981 GPI in South Asia, a difference of 0.0419 GPI.
The two have swapped places 2 times across 25 shared years of data; in 1994 it was Mexico ahead.
Mexico ranks 11th and South Asia ranks 9th of 188 countries.
Across the 3 decades both report, Mexico averaged higher in 2 and South Asia in 1.
Head to head by decade
| Decade | Mexico | South Asia | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 0.9735 GPI | 0.8089 GPI | 0.1646 GPI | Mexico |
| 2000s | 1.01 GPI | 0.9179 GPI | 0.0874 GPI | Mexico |
| 2010s | 1.03 GPI | 1.03 GPI | 0.0057 GPI | South Asia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher school life expectancy, primary and lower secondary, gender parity, Mexico or South Asia?
- Mexico, at 1.04 GPI against 0.9981 GPI in South Asia as of 2018.
- What is the difference in school life expectancy, primary and lower secondary, gender parity between Mexico and South Asia?
- 0.0419 GPI, with Mexico ahead.
- How many years of comparable data are there for Mexico and South Asia?
- 25 years are reported by both, from 1994 to 2018.
- How do Mexico and South Asia rank globally for school life expectancy, primary and lower secondary, gender parity?
- Mexico ranks 11th and South Asia ranks 9th of 188 countries.
- Where does this data come from?
- UNESCO Institute for Statistics, published as School life expectancy, primary and 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 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.