Syria vs Zimbabwe: Total net enrolment rate, lower secondary, gender parity index
Total net enrolment rate, lower secondary, gender parity index over time
- Syria
- Zimbabwe
How they compare
Syria currently reports 0.9669 GPI against 0.9504 GPI in Zimbabwe, a difference of 0.0165 GPI.
The two have swapped places 1 time across 6 shared years of data; in 1999 it was Zimbabwe ahead.
Syria ranks 112th and Zimbabwe ranks 114th of 135 countries.
Across the 3 decades both report, Syria averaged higher in 1 and Zimbabwe in 2.
Head to head by decade
| Decade | Syria | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 0.8724 GPI | 0.9 GPI | 0.0276 GPI | Zimbabwe |
| 2000s | 0.8873 GPI | 0.9074 GPI | 0.0202 GPI | Zimbabwe |
| 2010s | 0.9751 GPI | 0.9504 GPI | 0.0248 GPI | Syria |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher total net enrolment rate, lower secondary, gender parity index, Syria or Zimbabwe?
- Syria, at 0.9669 GPI against 0.9504 GPI in Zimbabwe as of 2013.
- What is the difference in total net enrolment rate, lower secondary, gender parity index between Syria and Zimbabwe?
- 0.0165 GPI, with Syria ahead.
- How many years of comparable data are there for Syria and Zimbabwe?
- 6 years are reported by both, from 1999 to 2012.
- How do Syria and Zimbabwe rank globally for total net enrolment rate, lower secondary, gender parity index?
- Syria ranks 112th and Zimbabwe ranks 114th of 135 countries.
- Where does this data come from?
- UNESCO Institute for Statistics, published as Total net enrolment rate, 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 total net enrolment rate for lower secondary to the male total net enrolment rate 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.