Low income vs Peru: School life expectancy, tertiary, female
School life expectancy, tertiary, female over time
- Low income
- Peru
How they compare
Peru currently reports 3.63 years against 0.3644 years in Low income, a difference of 3.27 years.
That makes Peru's figure about 10.0 times Low income's.
Across all 16 years both countries report, Peru has been ahead every year.
Low income ranks 42nd and Peru ranks 40th of 43 groups.
Peru has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Low income | Peru | Difference | Ahead |
|---|---|---|---|---|
| 1970s | 0.1354 years | 0.3697 years | 0.2343 years | Peru |
| 1980s | 0.1504 years | 0.6062 years | 0.4558 years | Peru |
| 2000s | 0.1917 years | 1.63 years | 1.44 years | Peru |
| 2010s | 0.3612 years | 3.66 years | 3.29 years | Peru |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher school life expectancy, tertiary, female, Low income or Peru?
- Peru, at 3.63 years against 0.3644 years in Low income as of 2017.
- What is the difference in school life expectancy, tertiary, female between Low income and Peru?
- 3.27 years, with Peru ahead.
- How many years of comparable data are there for Low income and Peru?
- 16 years are reported by both, from 1970 to 2017.
- How do Low income and Peru rank globally for school life expectancy, tertiary, female?
- Low income ranks 42nd and Peru ranks 40th of 43 groups.
- Where does this data come from?
- UNESCO Institute for Statistics, published as School life expectancy, tertiary, female (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.