Germany vs Zimbabwe: School life expectancy, secondary, gender parity index
Germany
0.95 GPI
in 2018
Zimbabwe
0.951 GPI
in 2013
Germany rank
151st
Zimbabwe rank
150th
School life expectancy, secondary, gender parity index over time
- Germany
- Zimbabwe
How they compare
Zimbabwe currently reports 0.951 GPI against 0.95 GPI in Germany, a difference of 0.001 GPI.
Across all 12 years both countries report, Germany has been ahead every year.
Germany ranks 151st and Zimbabwe ranks 150th of 195 countries.
Germany has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Germany | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 0.9665 GPI | 0.8316 GPI | 0.1349 GPI | Germany |
| 2000s | 0.9782 GPI | 0.8634 GPI | 0.1148 GPI | Germany |
| 2010s | 0.9552 GPI | 0.9441 GPI | 0.0111 GPI | Germany |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher school life expectancy, secondary, gender parity index, Germany or Zimbabwe?
- Zimbabwe, at 0.951 GPI against 0.95 GPI in Germany as of 2013.
- What is the difference in school life expectancy, secondary, gender parity index between Germany and Zimbabwe?
- 0.001 GPI, with Zimbabwe ahead.
- How many years of comparable data are there for Germany and Zimbabwe?
- 12 years are reported by both, from 1992 to 2013.
- How do Germany and Zimbabwe rank globally for school life expectancy, secondary, gender parity index?
- Germany ranks 151st and Zimbabwe ranks 150th of 195 countries.
- Where does this data come from?
- UNESCO Institute for Statistics, published as School life expectancy, 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.