Malawi vs San Marino: Gross enrolment ratio, upper secondary, gender parity index
Gross enrolment ratio, upper secondary, gender parity index over time
- Malawi
- San Marino
How they compare
San Marino currently reports 0.91 GPI against 0.8996 GPI in Malawi, a difference of 0.0104 GPI.
The two have swapped places 2 times across 9 shared years of data; in 1997 it was San Marino ahead.
Malawi ranks 149th and San Marino ranks 146th of 182 countries.
San Marino has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Malawi | San Marino | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 0.667 GPI | 1.12 GPI | 0.4497 GPI | San Marino |
| 2000s | 0.6573 GPI | 1.17 GPI | 0.5081 GPI | San Marino |
| 2010s | 0.8009 GPI | 0.975 GPI | 0.174 GPI | San Marino |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher gross enrolment ratio, upper secondary, gender parity index, Malawi or San Marino?
- San Marino, at 0.91 GPI against 0.8996 GPI in Malawi as of 2019.
- What is the difference in gross enrolment ratio, upper secondary, gender parity index between Malawi and San Marino?
- 0.0104 GPI, with San Marino ahead.
- How many years of comparable data are there for Malawi and San Marino?
- 9 years are reported by both, from 1997 to 2019.
- How do Malawi and San Marino rank globally for gross enrolment ratio, upper secondary, gender parity index?
- Malawi ranks 149th and San Marino ranks 146th of 182 countries.
- Where does this data come from?
- UNESCO Institute for Statistics, published as Gross enrolment ratio, upper 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 upper secondary to the male gross enrolment ratio for upper 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.