Colombia vs Seychelles: Gross enrolment ratio, upper secondary, gender parity index
Gross enrolment ratio, upper secondary, gender parity index over time
- Colombia
- Seychelles
How they compare
Seychelles currently reports 1.15 GPI against 1.15 GPI in Colombia, a difference of 0 GPI.
The two have swapped places 9 times across 18 shared years of data; in 1998 it was Colombia ahead.
Colombia ranks 34th and Seychelles ranks 31st of 182 countries.
Across the 3 decades both report, Colombia averaged higher in 2 and Seychelles in 1.
Head to head by decade
| Decade | Colombia | Seychelles | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 1.18 GPI | 1.06 GPI | 0.1268 GPI | Colombia |
| 2000s | 1.18 GPI | 1.21 GPI | 0.0247 GPI | Seychelles |
| 2010s | 1.19 GPI | 1.15 GPI | 0.0379 GPI | Colombia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher gross enrolment ratio, upper secondary, gender parity index, Colombia or Seychelles?
- Seychelles, at 1.15 GPI against 1.15 GPI in Colombia as of 2019.
- What is the difference in gross enrolment ratio, upper secondary, gender parity index between Colombia and Seychelles?
- 0 GPI, with Seychelles ahead.
- How many years of comparable data are there for Colombia and Seychelles?
- 18 years are reported by both, from 1998 to 2018.
- How do Colombia and Seychelles rank globally for gross enrolment ratio, upper secondary, gender parity index?
- Colombia ranks 34th and Seychelles ranks 31st 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.