Hungary vs Mauritius: School life expectancy, post-secondary non-tertiary, gender parity ind
School life expectancy, post-secondary non-tertiary, gender parity ind over time
- Hungary
- Mauritius
How they compare
Mauritius currently reports 1.28 GPI against 1.26 GPI in Hungary, a difference of 0.02 GPI.
The two have swapped places 3 times across 6 shared years of data; in 1998 it was Hungary ahead.
Hungary ranks 38th and Mauritius ranks 37th of 106 countries.
Across the 2 decades both report, Hungary averaged higher in 1 and Mauritius in 1.
Head to head by decade
| Decade | Hungary | Mauritius | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 1.13 GPI | 0.4224 GPI | 0.7089 GPI | Hungary |
| 2010s | 1.19 GPI | 1.19 GPI | 0.0005 GPI | Mauritius |
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, Hungary or Mauritius?
- Mauritius, at 1.28 GPI against 1.26 GPI in Hungary as of 2018.
- What is the difference in school life expectancy, post-secondary non-tertiary, gender parity ind between Hungary and Mauritius?
- 0.02 GPI, with Mauritius ahead.
- How many years of comparable data are there for Hungary and Mauritius?
- 6 years are reported by both, from 1998 to 2018.
- How do Hungary and Mauritius rank globally for school life expectancy, post-secondary non-tertiary, gender parity ind?
- Hungary ranks 38th and Mauritius ranks 37th 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.