Congo vs Liberia: School life expectancy, tertiary, gender parity index
School life expectancy, tertiary, gender parity index over time
- Congo
- Liberia
How they compare
Congo currently reports 0.6573 GPI against 0.6246 GPI in Liberia, a difference of 0.0327 GPI.
That makes Congo's figure about 1.1 times Liberia's.
The two have swapped places 3 times across 6 shared years of data; in 1971 it was Liberia ahead.
Congo ranks 152nd and Liberia ranks 155th of 177 countries.
Across the 4 decades both report, Congo averaged higher in 2 and Liberia in 2.
Head to head by decade
| Decade | Congo | Liberia | Difference | Ahead |
|---|---|---|---|---|
| 1970s | 0.0705 GPI | 0.2701 GPI | 0.1995 GPI | Liberia |
| 1990s | 0.2643 GPI | 0.2413 GPI | 0.0231 GPI | Congo |
| 2000s | 0.31 GPI | 0.5561 GPI | 0.2461 GPI | Liberia |
| 2010s | 0.6279 GPI | 0.6246 GPI | 0.0033 GPI | Congo |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher school life expectancy, tertiary, gender parity index, Congo or Liberia?
- Congo, at 0.6573 GPI against 0.6246 GPI in Liberia as of 2017.
- What is the difference in school life expectancy, tertiary, gender parity index between Congo and Liberia?
- 0.0327 GPI, with Congo ahead.
- How many years of comparable data are there for Congo and Liberia?
- 6 years are reported by both, from 1971 to 2012.
- How do Congo and Liberia rank globally for school life expectancy, tertiary, gender parity index?
- Congo ranks 152nd and Liberia ranks 155th of 177 countries.
- Where does this data come from?
- UNESCO Institute for Statistics, published as School life expectancy, tertiary, 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.