Congo vs Latvia: School life expectancy, pre-primary, gender parity index
Congo
0.9899 GPI
in 2012
Latvia
0.991 GPI
in 2018
Congo rank
133rd
Latvia rank
131st
School life expectancy, pre-primary, gender parity index over time
- Congo
- Latvia
How they compare
Latvia currently reports 0.991 GPI against 0.9899 GPI in Congo, a difference of 0.0011 GPI.
The two have swapped places 1 time across 25 shared years of data; in 1981 it was Latvia ahead.
Congo ranks 133rd and Latvia ranks 131st of 189 countries.
Across the 4 decades both report, Congo averaged higher in 3 and Latvia in 1.
Head to head by decade
| Decade | Congo | Latvia | Difference | Ahead |
|---|---|---|---|---|
| 1980s | 0.993 GPI | 1 GPI | 0.0111 GPI | Latvia |
| 1990s | 1.12 GPI | 0.9806 GPI | 0.1417 GPI | Congo |
| 2000s | 1.12 GPI | 0.9651 GPI | 0.1528 GPI | Congo |
| 2010s | 1.01 GPI | 0.978 GPI | 0.0355 GPI | Congo |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher school life expectancy, pre-primary, gender parity index, Congo or Latvia?
- Latvia, at 0.991 GPI against 0.9899 GPI in Congo as of 2018.
- What is the difference in school life expectancy, pre-primary, gender parity index between Congo and Latvia?
- 0.0011 GPI, with Latvia ahead.
- How many years of comparable data are there for Congo and Latvia?
- 25 years are reported by both, from 1981 to 2012.
- How do Congo and Latvia rank globally for school life expectancy, pre-primary, gender parity index?
- Congo ranks 133rd and Latvia ranks 131st of 189 countries.
- Where does this data come from?
- UNESCO Institute for Statistics, published as School life expectancy, pre-primary, gender parity index (GPI). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Ratio of female school life expectancy to the male school life expectancy. It is calculated by dividing the female value for the indicator by the male value for the indicator. A 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.