Austria vs Croatia: School life expectancy, pre-primary, gender parity index
School life expectancy, pre-primary, gender parity index over time
- Austria
- Croatia
How they compare
Croatia currently reports 0.9916 GPI against 0.9901 GPI in Austria, a difference of 0.0015 GPI.
The two have swapped places 5 times across 33 shared years of data; in 1981 it was Austria ahead.
Austria ranks 132nd and Croatia ranks 130th of 189 countries.
Austria has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Austria | Croatia | Difference | Ahead |
|---|---|---|---|---|
| 1980s | 1 GPI | 0.9748 GPI | 0.026 GPI | Austria |
| 1990s | 0.9905 GPI | 0.9704 GPI | 0.0201 GPI | Austria |
| 2000s | 0.9971 GPI | 0.9733 GPI | 0.0239 GPI | Austria |
| 2010s | 0.9957 GPI | 0.9756 GPI | 0.0201 GPI | Austria |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher school life expectancy, pre-primary, gender parity index, Austria or Croatia?
- Croatia, at 0.9916 GPI against 0.9901 GPI in Austria as of 2018.
- What is the difference in school life expectancy, pre-primary, gender parity index between Austria and Croatia?
- 0.0015 GPI, with Croatia ahead.
- How many years of comparable data are there for Austria and Croatia?
- 33 years are reported by both, from 1981 to 2018.
- How do Austria and Croatia rank globally for school life expectancy, pre-primary, gender parity index?
- Austria ranks 132nd and Croatia ranks 130th of 189 countries.
- Where does this data come from?
- UNESCO Institute for Statistics, published as School life expectancy, pre-primary, 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.