Pre-demographic dividend vs Seychelles: Percentage of qualified teachers in secondary education, adjusted
Percentage of qualified teachers in secondary education, adjusted over time
- Pre-demographic dividend
- Seychelles
How they compare
Seychelles currently reports 1.1% against 1.1% in Pre-demographic dividend, a difference of 0.0%.
The two have swapped places 1 time across 5 shared years of data; in 2013 it was Seychelles ahead.
Pre-demographic dividend ranks 4th and Seychelles ranks 6th of 23 groups.
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, Pre-demographic dividend or Seychelles?
- Seychelles, at 1.1% against 1.1% in Pre-demographic dividend as of 2019.
- What is the difference in percentage of qualified teachers in secondary education, adjusted between Pre-demographic dividend and Seychelles?
- 0.0%, with Seychelles ahead.
- How many years of comparable data are there for Pre-demographic dividend and Seychelles?
- 5 years are reported by both, from 2013 to 2017.
- How do Pre-demographic dividend and Seychelles rank globally for percentage of qualified teachers in secondary education, adjusted?
- Pre-demographic dividend ranks 4th and Seychelles ranks 6th of 23 groups.
- 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/