Mauritania vs Seychelles: Total net enrolment rate, primary, gender parity index
Total net enrolment rate, primary, gender parity index over time
- Mauritania
- Seychelles
How they compare
Mauritania currently reports 1.05 GPI against 1.05 GPI in Seychelles, a difference of 0 GPI.
The two have swapped places 3 times across 17 shared years of data; in 1994 it was Seychelles ahead.
Mauritania ranks 11th and Seychelles ranks 12th of 189 countries.
Across the 3 decades both report, Mauritania averaged higher in 1 and Seychelles in 2.
Head to head by decade
| Decade | Mauritania | Seychelles | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 0.8981 GPI | 1.03 GPI | 0.1286 GPI | Seychelles |
| 2000s | 0.993 GPI | 0.9992 GPI | 0.0063 GPI | Seychelles |
| 2010s | 1.05 GPI | 1.04 GPI | 0.007 GPI | Mauritania |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher total net enrolment rate, primary, gender parity index, Mauritania or Seychelles?
- Mauritania, at 1.05 GPI against 1.05 GPI in Seychelles as of 2019.
- What is the difference in total net enrolment rate, primary, gender parity index between Mauritania and Seychelles?
- 0 GPI, with Mauritania ahead.
- How many years of comparable data are there for Mauritania and Seychelles?
- 17 years are reported by both, from 1994 to 2019.
- How do Mauritania and Seychelles rank globally for total net enrolment rate, primary, gender parity index?
- Mauritania ranks 11th and Seychelles ranks 12th 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.