Sri Lanka vs Sub-Saharan Africa: Gross enrolment ratio, pre-primary, adjusted gender parity index
Gross enrolment ratio, pre-primary, adjusted gender parity index over time
- Sri Lanka
- Sub-Saharan Africa
How they compare
Sri Lanka currently reports 1.06 GPIA against 0.9955 GPIA in Sub-Saharan Africa, a difference of 0.0645 GPIA.
That makes Sri Lanka's figure about 1.1 times Sub-Saharan Africa's.
Across all 9 years both countries report, Sri Lanka has been ahead every year.
Sri Lanka ranks 22nd and Sub-Saharan Africa ranks 24th of 186 countries.
Sri Lanka has averaged higher in every one of the 1 decades both report.
Frequently asked questions
- Which has higher gross enrolment ratio, pre-primary, adjusted gender parity index, Sri Lanka or Sub-Saharan Africa?
- Sri Lanka, at 1.06 GPIA against 0.9955 GPIA in Sub-Saharan Africa as of 2018.
- What is the difference in gross enrolment ratio, pre-primary, adjusted gender parity index between Sri Lanka and Sub-Saharan Africa?
- 0.0645 GPIA, with Sri Lanka ahead.
- How many years of comparable data are there for Sri Lanka and Sub-Saharan Africa?
- 9 years are reported by both, from 2010 to 2018.
- How do Sri Lanka and Sub-Saharan Africa rank globally for gross enrolment ratio, pre-primary, adjusted gender parity index?
- Sri Lanka ranks 22nd and Sub-Saharan Africa ranks 24th of 186 countries.
- Where does this data come from?
- UNESCO Institute for Statistics, published as Gross enrolment ratio, pre-primary, 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/