Côte d'Ivoire vs Niger: Gross enrolment ratio, primary to tertiary, gender parity index
Gross enrolment ratio, primary to tertiary, gender parity index over time
- Côte d'Ivoire
- Niger
How they compare
Côte d'Ivoire currently reports 0.8425 GPI against 0.8317 GPI in Niger, a difference of 0.0108 GPI.
The two have swapped places 2 times across 7 shared years of data; in 1971 it was Côte d'Ivoire ahead.
Côte d'Ivoire ranks 162nd and Niger ranks 164th of 173 countries.
Côte d'Ivoire has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Côte d'Ivoire | Niger | Difference | Ahead |
|---|---|---|---|---|
| 1970s | 0.5562 GPI | 0.5134 GPI | 0.0428 GPI | Côte d'Ivoire |
| 2010s | 0.8261 GPI | 0.825 GPI | 0.0012 GPI | Côte d'Ivoire |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher gross enrolment ratio, primary to tertiary, gender parity index, Côte d'Ivoire or Niger?
- Côte d'Ivoire, at 0.8425 GPI against 0.8317 GPI in Niger as of 2017.
- What is the difference in gross enrolment ratio, primary to tertiary, gender parity index between Côte d'Ivoire and Niger?
- 0.0108 GPI, with Côte d'Ivoire ahead.
- How many years of comparable data are there for Côte d'Ivoire and Niger?
- 7 years are reported by both, from 1971 to 2017.
- How do Côte d'Ivoire and Niger rank globally for gross enrolment ratio, primary to tertiary, gender parity index?
- Côte d'Ivoire ranks 162nd and Niger ranks 164th of 173 countries.
- Where does this data come from?
- UNESCO Institute for Statistics, published as Gross enrolment ratio, primary to tertiary, 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 primary to tertiary to the male value for the same indicator. 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.