Kenya vs Least developed countries: Out-of-school rate for youth of upper secondary school age, adjusted
Out-of-school rate for youth of upper secondary school age, adjusted over time
- Kenya
- Least developed countries
How they compare
Kenya currently reports 1.27 GPIA against 1.09 GPIA in Least developed countries, a difference of 0.18 GPIA.
That makes Kenya's figure about 1.2 times Least developed countries's.
Across all 9 years both countries report, Kenya has been ahead every year.
Kenya ranks 13th and Least developed countries ranks 13th of 141 countries.
Kenya has averaged higher in every one of the 1 decades both report.
Frequently asked questions
- Which has higher out-of-school rate for youth of upper secondary school age, adjusted, Kenya or Least developed countries?
- Kenya, at 1.27 GPIA against 1.09 GPIA in Least developed countries as of 2009.
- What is the difference in out-of-school rate for youth of upper secondary school age, adjusted between Kenya and Least developed countries?
- 0.18 GPIA, with Kenya ahead.
- How many years of comparable data are there for Kenya and Least developed countries?
- 9 years are reported by both, from 2000 to 2009.
- How do Kenya and Least developed countries rank globally for out-of-school rate for youth of upper secondary school age, adjusted?
- Kenya ranks 13th and Least developed countries ranks 13th of 141 countries.
- Where does this data come from?
- UNESCO Institute for Statistics, published as Out-of-school rate for youth of upper secondary school 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/