Monaco vs Seychelles: Gross enrolment ratio, early childhood educational development program
Gross enrolment ratio, early childhood educational development program over time
- Monaco
- Seychelles
How they compare
Monaco currently reports 0 GPIA against 0 GPIA in Seychelles, a difference of 0 GPIA.
Across all 14 years both countries report, Seychelles has been ahead every year.
Monaco ranks 67th and Seychelles ranks 67th of 173 countries.
Head to head by decade
| Decade | Monaco | Seychelles | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 0 GPIA | 0 GPIA | 0 GPIA | — |
| 2010s | 0 GPIA | 0 GPIA | 0 GPIA | — |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher gross enrolment ratio, early childhood educational development program, Monaco or Seychelles?
- Monaco, at 0 GPIA against 0 GPIA in Seychelles as of 2020.
- What is the difference in gross enrolment ratio, early childhood educational development program between Monaco and Seychelles?
- 0 GPIA, with Monaco ahead.
- How many years of comparable data are there for Monaco and Seychelles?
- 14 years are reported by both, from 2000 to 2019.
- How do Monaco and Seychelles rank globally for gross enrolment ratio, early childhood educational development program?
- Monaco ranks 67th and Seychelles ranks 67th of 173 countries.
- Where does this data come from?
- UNESCO Institute for Statistics, published as Gross enrolment ratio, early childhood educational development programmes, adjusted gender parity index (GPIA). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The Adjusted Gender Parity Index (GPIA) is calculated by dividing the female value for the indicator by the male value for the indicator. If the resulting value exceeds 1, the ratio is inverted and subtracted from 2. The adjusted gender parity index is symmetrical around 1 and lies in the range 0-2. An adjusted 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. For more information, consult the UNESCO Institute for Statistics: http://uis.unesco.org/