Kenya vs Latvia: School life expectancy, post-secondary non-tertiary, male
School life expectancy, post-secondary non-tertiary, male over time
- Kenya
- Latvia
How they compare
Kenya currently reports 0.1748 years against 0.1592 years in Latvia, a difference of 0.0156 years.
That makes Kenya's figure about 1.1 times Latvia's.
The two have swapped places 1 time across 8 shared years of data; in 1999 it was Latvia ahead.
Kenya ranks 47th and Latvia ranks 50th of 107 countries.
Across the 3 decades both report, Kenya averaged higher in 1 and Latvia in 2.
Head to head by decade
| Decade | Kenya | Latvia | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 0.0309 years | 0.1268 years | 0.0959 years | Latvia |
| 2000s | 0.0832 years | 0.0912 years | 0.008 years | Latvia |
| 2010s | 0.1914 years | 0.1067 years | 0.0846 years | Kenya |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher school life expectancy, post-secondary non-tertiary, male, Kenya or Latvia?
- Kenya, at 0.1748 years against 0.1592 years in Latvia as of 2016.
- What is the difference in school life expectancy, post-secondary non-tertiary, male between Kenya and Latvia?
- 0.0156 years, with Kenya ahead.
- How many years of comparable data are there for Kenya and Latvia?
- 8 years are reported by both, from 1999 to 2016.
- How do Kenya and Latvia rank globally for school life expectancy, post-secondary non-tertiary, male?
- Kenya ranks 47th and Latvia ranks 50th of 107 countries.
- Where does this data come from?
- UNESCO Institute for Statistics, published as School life expectancy, post-secondary non-tertiary, male (years). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Number of years a person of school entrance age can expect to spend within the specified level of education. For a child of a certain age a, the school life expectancy is calculated as the sum of the age specific enrolment rates for the levels of education specified. The part of the enrolment that is not distributed by age is divided by the school-age population for the level of education they are enrolled in, and multiplied by the duration of that level of education. The result is then added to the sum of the age-specific enrolment rates. A relatively high SLE indicates greater probability for children to spend more years in education and higher overall retention within the education system. It must be noted that the expected number of years does not necessarily coincide with the expected number of grades of education completed, because of repetition. Since school life expectancy is an average based on participation in different levels of education, the expected number of years of schooling may be pulled down by the magnitude of children who never go to school. Those children who are in school may benefit from many more years of education than the average.