Colombia vs Zimbabwe: Total net enrolment rate, primary, gender parity index
Total net enrolment rate, primary, gender parity index over time
- Colombia
- Zimbabwe
How they compare
Colombia currently reports 1.01 GPI against 1.01 GPI in Zimbabwe, a difference of 0 GPI.
The two have swapped places 1 time across 6 shared years of data; in 1986 it was Colombia ahead.
Colombia ranks 57th and Zimbabwe ranks 58th of 189 countries.
Across the 4 decades both report, Colombia averaged higher in 1 and Zimbabwe in 3.
Head to head by decade
| Decade | Colombia | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 1980s | 1.03 GPI | 0.9727 GPI | 0.0567 GPI | Colombia |
| 1990s | 1.01 GPI | 1.02 GPI | 0.0029 GPI | Zimbabwe |
| 2000s | 0.9945 GPI | 1.01 GPI | 0.015 GPI | Zimbabwe |
| 2010s | 0.9975 GPI | 1.01 GPI | 0.0144 GPI | Zimbabwe |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher total net enrolment rate, primary, gender parity index, Colombia or Zimbabwe?
- Colombia, at 1.01 GPI against 1.01 GPI in Zimbabwe as of 2018.
- What is the difference in total net enrolment rate, primary, gender parity index between Colombia and Zimbabwe?
- 0 GPI, with Colombia ahead.
- How many years of comparable data are there for Colombia and Zimbabwe?
- 6 years are reported by both, from 1986 to 2012.
- How do Colombia and Zimbabwe rank globally for total net enrolment rate, primary, gender parity index?
- Colombia ranks 57th and Zimbabwe ranks 58th of 189 countries.
- Where does this data come from?
- UNESCO Institute for Statistics, published as Total net enrolment rate, primary, 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 primary to the male total net enrolment rate for primary. 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.