Cape Verde vs Congo: Gross enrolment ratio, early childhood educational development program
Gross enrolment ratio, early childhood educational development program over time
- Cape Verde
- Congo
How they compare
Cape Verde currently reports 0 GPIA against 0 GPIA in Congo, a difference of 0 GPIA.
Across all 14 years both countries report, Congo has been ahead every year.
Cape Verde ranks 67th and Congo ranks 67th of 173 countries.
Head to head by decade
| Decade | Cape Verde | Congo | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 0 GPIA | 0 GPIA | 0 GPIA | — |
| 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, Cape Verde or Congo?
- Cape Verde, at 0 GPIA against 0 GPIA in Congo as of 2018.
- What is the difference in gross enrolment ratio, early childhood educational development program between Cape Verde and Congo?
- 0 GPIA, with Cape Verde ahead.
- How many years of comparable data are there for Cape Verde and Congo?
- 14 years are reported by both, from 1999 to 2012.
- How do Cape Verde and Congo rank globally for gross enrolment ratio, early childhood educational development program?
- Cape Verde ranks 67th and Congo 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/