Norway vs Poland: Gross enrolment ratio, post-secondary non-tertiary, gender parity
Gross enrolment ratio, post-secondary non-tertiary, gender parity over time
- Norway
- Poland
How they compare
Norway currently reports 2.6 GPI against 2.55 GPI in Poland, a difference of 0.05 GPI.
The two have swapped places 3 times across 21 shared years of data; in 1998 it was Poland ahead.
Norway ranks 8th and Poland ranks 9th of 106 countries.
Poland has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Norway | Poland | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 0.0758 GPI | 1.92 GPI | 1.84 GPI | Poland |
| 2000s | 0.4063 GPI | 1.72 GPI | 1.32 GPI | Poland |
| 2010s | 1.74 GPI | 2.52 GPI | 0.7859 GPI | Poland |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher gross enrolment ratio, post-secondary non-tertiary, gender parity, Norway or Poland?
- Norway, at 2.6 GPI against 2.55 GPI in Poland as of 2018.
- What is the difference in gross enrolment ratio, post-secondary non-tertiary, gender parity between Norway and Poland?
- 0.05 GPI, with Norway ahead.
- How many years of comparable data are there for Norway and Poland?
- 21 years are reported by both, from 1998 to 2018.
- How do Norway and Poland rank globally for gross enrolment ratio, post-secondary non-tertiary, gender parity?
- Norway ranks 8th and Poland ranks 9th of 106 countries.
- Where does this data come from?
- UNESCO Institute for Statistics, published as Gross enrolment ratio, post-secondary non-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 post-secondary non-tertiary education to the male gross enrolment ratio for post-secondary non-tertiary education. 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.