School life expectancy, post-secondary non-tertiary, female in Bhutan
Bhutan: School life expectancy, post-secondary non-tertiary, female was 0.0234 years in 2020. ◆ Volatile
School life expectancy, post-secondary non-tertiary, female in Bhutan, 2001–2020
Source: UNESCO Institute for Statistics. Measured in years.
Analysis
In 2020, school life expectancy, post-secondary non-tertiary, female in Bhutan stood at 0.0234 years.
That represents a change of up 221.6% over ten years.
Over the whole period, school life expectancy, post-secondary non-tertiary, female in Bhutan peaked at 0.0309 years in 2001 and was at its lowest, 0.0073 years, in 2010.
Bhutan ranks 85th of 107 countries on this measure, in the bottom quarter.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 0.0309 years | 0.0309 years | 0.0309 years | 1 |
| 2010s | 0.0125 years | 0.0073 years | 0.0221 years | 3 |
| 2020s | 0.0234 years | 0.0234 years | 0.0234 years | 1 |
Countries ranked near Bhutan
More reference data data for Bhutan
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - IPCC Agriculture 155.85 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure Management 4.06 (2050)
- Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Burning - Crop re 4.44 (2050)
- Emission Totals - Emissions (CO2eq) (AR5) - Manure left on Pasture 92.47 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure applied to 19.25 (2050)
- Emission Totals - Emissions (CO2eq) (AR5) - Manure applied to Soils 19.25 (2050)
- Emission Totals - Emissions (N2O) - Agricultural Soils 0.5687 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.0909 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.0727 (2050)
- Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Enteric Fermentat 621.75 (2050)
Frequently asked questions
- What is school life expectancy, post-secondary non-tertiary, female in Bhutan?
- School life expectancy, post-secondary non-tertiary, female in Bhutan was 0.0234 years in 2020, according to UNESCO Institute for Statistics.
- What is the highest school life expectancy, post-secondary non-tertiary, female recorded in Bhutan?
- The highest recorded value was 0.0309 years in 2001.
- What is the lowest school life expectancy, post-secondary non-tertiary, female recorded in Bhutan?
- The lowest recorded value was 0.0073 years in 2010.
- How does Bhutan rank for school life expectancy, post-secondary non-tertiary, female?
- Bhutan ranks 85th out of 107 countries with data for 2020.
- Is school life expectancy, post-secondary non-tertiary, female rising or falling in Bhutan?
- Over the last ten years it is up 221.6%. The long-run trend across the full record is volatile.
- Where does this Bhutan data come from?
- The figures come from UNESCO Institute for Statistics, published as part of School life expectancy, post-secondary non-tertiary, female (years). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 5 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
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.