Malawi vs Zimbabwe: School life expectancy, primary and lower secondary, gender parity ind
School life expectancy, primary and lower secondary, gender parity ind over time
- Malawi
- Zimbabwe
How they compare
Malawi currently reports 0.9826 GPI against 0.982 GPI in Zimbabwe, a difference of 0.0006 GPI.
The two have swapped places 1 time across 6 shared years of data; in 1999 it was Zimbabwe ahead.
Malawi ranks 124th and Zimbabwe ranks 126th of 188 countries.
Across the 3 decades both report, Malawi averaged higher in 1 and Zimbabwe in 2.
Head to head by decade
| Decade | Malawi | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 0.8932 GPI | 0.9657 GPI | 0.0725 GPI | Zimbabwe |
| 2000s | 0.9158 GPI | 0.9648 GPI | 0.0489 GPI | Zimbabwe |
| 2010s | 0.9938 GPI | 0.9828 GPI | 0.011 GPI | Malawi |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher school life expectancy, primary and lower secondary, gender parity ind, Malawi or Zimbabwe?
- Malawi, at 0.9826 GPI against 0.982 GPI in Zimbabwe as of 2019.
- What is the difference in school life expectancy, primary and lower secondary, gender parity ind between Malawi and Zimbabwe?
- 0.0006 GPI, with Malawi ahead.
- How many years of comparable data are there for Malawi and Zimbabwe?
- 6 years are reported by both, from 1999 to 2013.
- How do Malawi and Zimbabwe rank globally for school life expectancy, primary and lower secondary, gender parity ind?
- Malawi ranks 124th and Zimbabwe ranks 126th of 188 countries.
- Where does this data come from?
- UNESCO Institute for Statistics, published as School life expectancy, primary and lower 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.