Seychelles vs Zambia: Total net enrolment rate, primary, gender parity index
Total net enrolment rate, primary, gender parity index over time
- Seychelles
- Zambia
How they compare
Seychelles currently reports 1.05 GPI against 1.05 GPI in Zambia, a difference of 0 GPI.
The two have swapped places 2 times across 12 shared years of data; in 1979 it was Seychelles ahead.
Seychelles ranks 12th and Zambia ranks 14th of 189 countries.
Seychelles has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Seychelles | Zambia | Difference | Ahead |
|---|---|---|---|---|
| 1970s | 1.04 GPI | 0.9365 GPI | 0.1042 GPI | Seychelles |
| 1990s | 1.03 GPI | 0.9621 GPI | 0.0652 GPI | Seychelles |
| 2000s | 1 GPI | 0.9842 GPI | 0.0172 GPI | Seychelles |
| 2010s | 1.04 GPI | 1.03 GPI | 0.0036 GPI | Seychelles |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher total net enrolment rate, primary, gender parity index, Seychelles or Zambia?
- Seychelles, at 1.05 GPI against 1.05 GPI in Zambia as of 2019.
- What is the difference in total net enrolment rate, primary, gender parity index between Seychelles and Zambia?
- 0 GPI, with Seychelles ahead.
- How many years of comparable data are there for Seychelles and Zambia?
- 12 years are reported by both, from 1979 to 2017.
- How do Seychelles and Zambia rank globally for total net enrolment rate, primary, gender parity index?
- Seychelles ranks 12th and Zambia ranks 14th 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.