East Asia & Pacific vs Latvia: Out-of-school rate for children one year younger than official age
Out-of-school rate for children one year younger than official age over time
- East Asia & Pacific
- Latvia
How they compare
Latvia currently reports 1.07 GPIA against 0.813 GPIA in East Asia & Pacific, a difference of 0.257 GPIA.
That makes Latvia's figure about 1.3 times East Asia & Pacific's.
The two have swapped places 3 times across 6 shared years of data; in 2013 it was East Asia & Pacific ahead.
East Asia & Pacific ranks 38th and Latvia ranks 36th of 40 groups.
East Asia & Pacific has averaged higher in every one of the 1 decades both report.
Frequently asked questions
- Which has higher out-of-school rate for children one year younger than official age, East Asia & Pacific or Latvia?
- Latvia, at 1.07 GPIA against 0.813 GPIA in East Asia & Pacific as of 2018.
- What is the difference in out-of-school rate for children one year younger than official age between East Asia & Pacific and Latvia?
- 0.257 GPIA, with Latvia ahead.
- How many years of comparable data are there for East Asia & Pacific and Latvia?
- 6 years are reported by both, from 2013 to 2018.
- How do East Asia & Pacific and Latvia rank globally for out-of-school rate for children one year younger than official age?
- East Asia & Pacific ranks 38th and Latvia ranks 36th of 40 groups.
- Where does this data come from?
- UNESCO Institute for Statistics, published as Out-of-school rate for children one year younger than official age, 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/