Australia vs Comoros: Total net enrolment rate, primary, gender parity index
Total net enrolment rate, primary, gender parity index over time
- Australia
- Comoros
How they compare
Comoros currently reports 0.9996 GPI against 0.9992 GPI in Australia, a difference of 0.0004 GPI.
The two have swapped places 1 time across 9 shared years of data; in 1987 it was Australia ahead.
Australia ranks 104th and Comoros ranks 103rd of 189 countries.
Australia has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Australia | Comoros | Difference | Ahead |
|---|---|---|---|---|
| 1980s | 1.01 GPI | 0.8096 GPI | 0.1973 GPI | Australia |
| 1990s | 1.02 GPI | 0.838 GPI | 0.1779 GPI | Australia |
| 2000s | 1.03 GPI | 0.8924 GPI | 0.1332 GPI | Australia |
| 2010s | 1 GPI | 0.9763 GPI | 0.0243 GPI | Australia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher total net enrolment rate, primary, gender parity index, Australia or Comoros?
- Comoros, at 0.9996 GPI against 0.9992 GPI in Australia as of 2018.
- What is the difference in total net enrolment rate, primary, gender parity index between Australia and Comoros?
- 0.0004 GPI, with Comoros ahead.
- How many years of comparable data are there for Australia and Comoros?
- 9 years are reported by both, from 1987 to 2018.
- How do Australia and Comoros rank globally for total net enrolment rate, primary, gender parity index?
- Australia ranks 104th and Comoros ranks 103rd 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.