Germany vs Zimbabwe: Gross enrolment ratio, upper secondary, gender parity index
Gross enrolment ratio, upper secondary, gender parity index over time
- Germany
- Zimbabwe
How they compare
Zimbabwe currently reports 0.9005 GPI against 0.8858 GPI in Germany, a difference of 0.0147 GPI.
The two have swapped places 1 time across 7 shared years of data; in 1999 it was Germany ahead.
Germany ranks 151st and Zimbabwe ranks 148th of 182 countries.
Across the 3 decades both report, Germany averaged higher in 2 and Zimbabwe in 1.
Head to head by decade
| Decade | Germany | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 0.92 GPI | 0.8413 GPI | 0.0788 GPI | Germany |
| 2000s | 0.9396 GPI | 0.8309 GPI | 0.1088 GPI | Germany |
| 2010s | 0.8891 GPI | 0.8937 GPI | 0.0047 GPI | Zimbabwe |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher gross enrolment ratio, upper secondary, gender parity index, Germany or Zimbabwe?
- Zimbabwe, at 0.9005 GPI against 0.8858 GPI in Germany as of 2013.
- What is the difference in gross enrolment ratio, upper secondary, gender parity index between Germany and Zimbabwe?
- 0.0147 GPI, with Zimbabwe ahead.
- How many years of comparable data are there for Germany and Zimbabwe?
- 7 years are reported by both, from 1999 to 2013.
- How do Germany and Zimbabwe rank globally for gross enrolment ratio, upper secondary, gender parity index?
- Germany ranks 151st and Zimbabwe ranks 148th of 182 countries.
- Where does this data come from?
- UNESCO Institute for Statistics, published as Gross enrolment ratio, upper 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 gross enrolment ratio for upper secondary to the male gross enrolment ratio for upper secondary. 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.