Saint Vincent and the Grenadines vs Sudan: Gross enrolment ratio, early childhood education, adjusted gender
Gross enrolment ratio, early childhood education, adjusted gender over time
- Saint Vincent and the Grenadines
- Sudan
How they compare
Sudan currently reports 1.02 GPIA against 1.02 GPIA in Saint Vincent and the Grenadines, a difference of 0 GPIA.
Across all 5 years both countries report, Sudan has been ahead every year.
Saint Vincent and the Grenadines ranks 64th and Sudan ranks 61st of 161 countries.
Sudan has averaged higher in every one of the 1 decades both report.
Frequently asked questions
- Which has higher gross enrolment ratio, early childhood education, adjusted gender, Saint Vincent and the Grenadines or Sudan?
- Sudan, at 1.02 GPIA against 1.02 GPIA in Saint Vincent and the Grenadines as of 2017.
- What is the difference in gross enrolment ratio, early childhood education, adjusted gender between Saint Vincent and the Grenadines and Sudan?
- 0 GPIA, with Sudan ahead.
- How many years of comparable data are there for Saint Vincent and the Grenadines and Sudan?
- 5 years are reported by both, from 2013 to 2017.
- How do Saint Vincent and the Grenadines and Sudan rank globally for gross enrolment ratio, early childhood education, adjusted gender?
- Saint Vincent and the Grenadines ranks 64th and Sudan ranks 61st of 161 countries.
- Where does this data come from?
- UNESCO Institute for Statistics, published as Gross enrolment ratio, early childhood education, 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/