Peru vs Pre-demographic dividend: Percentage of qualified teachers in secondary education, adjusted
Percentage of qualified teachers in secondary education, adjusted over time
- Peru
- Pre-demographic dividend
How they compare
Peru currently reports 1.2% against 1.1% in Pre-demographic dividend, a difference of 0.1%.
That makes Peru's figure about 1.1 times Pre-demographic dividend's.
Across all 5 years both countries report, Pre-demographic dividend has been ahead every year.
Peru ranks 2nd and Pre-demographic dividend ranks 4th of 34 countries.
Pre-demographic dividend has averaged higher in every one of the 1 decades both report.
Frequently asked questions
- Which has higher percentage of qualified teachers in secondary education, adjusted, Peru or Pre-demographic dividend?
- Peru, at 1.2% against 1.1% in Pre-demographic dividend as of 2019.
- What is the difference in percentage of qualified teachers in secondary education, adjusted between Peru and Pre-demographic dividend?
- 0.1%, with Peru ahead.
- How many years of comparable data are there for Peru and Pre-demographic dividend?
- 5 years are reported by both, from 2013 to 2017.
- How do Peru and Pre-demographic dividend rank globally for percentage of qualified teachers in secondary education, adjusted?
- Peru ranks 2nd and Pre-demographic dividend ranks 4th of 34 countries.
- Where does this data come from?
- UNESCO Institute for Statistics, published as Percentage of qualified teachers in secondary education, adjusted gender parity index (GPIA). Statizoid refreshes it automatically from the source and publishes the full history for both places.
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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/