Denmark vs Moldova: Gross enrolment ratio, lower secondary, gender parity index
Gross enrolment ratio, lower secondary, gender parity index over time
- Denmark
- Moldova
How they compare
Moldova currently reports 0.9801 GPI against 0.9789 GPI in Denmark, a difference of 0.0012 GPI.
The two have swapped places 2 times across 22 shared years of data; in 1995 it was Moldova ahead.
Denmark ranks 126th and Moldova ranks 124th of 188 countries.
Across the 3 decades both report, Denmark averaged higher in 2 and Moldova in 1.
Head to head by decade
| Decade | Denmark | Moldova | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 1.01 GPI | 1.01 GPI | 0.0006 GPI | Moldova |
| 2000s | 1.03 GPI | 1 GPI | 0.0217 GPI | Denmark |
| 2010s | 1 GPI | 0.9911 GPI | 0.012 GPI | Denmark |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher gross enrolment ratio, lower secondary, gender parity index, Denmark or Moldova?
- Moldova, at 0.9801 GPI against 0.9789 GPI in Denmark as of 2019.
- What is the difference in gross enrolment ratio, lower secondary, gender parity index between Denmark and Moldova?
- 0.0012 GPI, with Moldova ahead.
- How many years of comparable data are there for Denmark and Moldova?
- 22 years are reported by both, from 1995 to 2018.
- How do Denmark and Moldova rank globally for gross enrolment ratio, lower secondary, gender parity index?
- Denmark ranks 126th and Moldova ranks 124th of 188 countries.
- Where does this data come from?
- UNESCO Institute for Statistics, published as Gross enrolment ratio, lower secondary, 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 lower secondary to the male gross enrolment ratio for lower secondary. 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.