Austria vs Congo: School life expectancy, pre-primary, gender parity index
School life expectancy, pre-primary, gender parity index over time
- Austria
- Congo
How they compare
Austria currently reports 0.9901 GPI against 0.9899 GPI in Congo, a difference of 0.0002 GPI.
The two have swapped places 5 times across 35 shared years of data; in 1971 it was Austria ahead.
Austria ranks 132nd and Congo ranks 133rd of 189 countries.
Across the 5 decades both report, Austria averaged higher in 1 and Congo in 4.
Head to head by decade
| Decade | Austria | Congo | Difference | Ahead |
|---|---|---|---|---|
| 1970s | 1 GPI | 0.8419 GPI | 0.1589 GPI | Austria |
| 1980s | 0.9999 GPI | 1.01 GPI | 0.0068 GPI | Congo |
| 1990s | 0.9901 GPI | 1.12 GPI | 0.1322 GPI | Congo |
| 2000s | 0.9971 GPI | 1.12 GPI | 0.1208 GPI | Congo |
| 2010s | 0.9944 GPI | 1.01 GPI | 0.019 GPI | Congo |
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 Congo?
- Austria, at 0.9901 GPI against 0.9899 GPI in Congo as of 2018.
- What is the difference in school life expectancy, pre-primary, gender parity index between Austria and Congo?
- 0.0002 GPI, with Austria ahead.
- How many years of comparable data are there for Austria and Congo?
- 35 years are reported by both, from 1971 to 2012.
- How do Austria and Congo rank globally for school life expectancy, pre-primary, gender parity index?
- Austria ranks 132nd and Congo ranks 133rd 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.