Tunisia vs Zimbabwe: Gross enrolment ratio, lower secondary, gender parity index
Gross enrolment ratio, lower secondary, gender parity index over time
- Tunisia
- Zimbabwe
How they compare
Tunisia currently reports 1.04 GPI against 1.03 GPI in Zimbabwe, a difference of 0.01 GPI.
The two have swapped places 1 time across 6 shared years of data; in 1999 it was Tunisia ahead.
Tunisia ranks 41st and Zimbabwe ranks 43rd of 188 countries.
Across the 3 decades both report, Tunisia averaged higher in 2 and Zimbabwe in 1.
Head to head by decade
| Decade | Tunisia | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 1.01 GPI | 0.9226 GPI | 0.086 GPI | Tunisia |
| 2000s | 0.9951 GPI | 0.9202 GPI | 0.0749 GPI | Tunisia |
| 2010s | 1.03 GPI | 1.03 GPI | 0.0046 GPI | Zimbabwe |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher gross enrolment ratio, lower secondary, gender parity index, Tunisia or Zimbabwe?
- Tunisia, at 1.04 GPI against 1.03 GPI in Zimbabwe as of 2018.
- What is the difference in gross enrolment ratio, lower secondary, gender parity index between Tunisia and Zimbabwe?
- 0.01 GPI, with Tunisia ahead.
- How many years of comparable data are there for Tunisia and Zimbabwe?
- 6 years are reported by both, from 1999 to 2013.
- How do Tunisia and Zimbabwe rank globally for gross enrolment ratio, lower secondary, gender parity index?
- Tunisia ranks 41st and Zimbabwe ranks 43rd of 188 countries.
- Where does this data come from?
- UNESCO Institute for Statistics, published as Gross enrolment ratio, 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 gross enrolment ratio for lower secondary to the male gross enrolment ratio for lower 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.