Peru vs Zimbabwe: Wittgenstein Projection: Mean Years of Schooling. Age 15+. Gender Gap
Wittgenstein Projection: Mean Years of Schooling. Age 15+. Gender Gap over time
- Peru
- Zimbabwe
How they compare
Peru currently reports 0.02 against 0.02 in Zimbabwe, a difference of 0.
Across all 19 years both countries report, Zimbabwe has been ahead every year.
Peru ranks 79th and Zimbabwe ranks 79th of 166 countries.
Zimbabwe has averaged higher in every one of the 10 decades both report.
Head to head by decade
| Decade | Peru | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.695 | 1.07 | 0.375 | Zimbabwe |
| 2020s | 0.495 | 0.8 | 0.305 | Zimbabwe |
| 2030s | 0.33 | 0.55 | 0.22 | Zimbabwe |
| 2040s | 0.205 | 0.35 | 0.145 | Zimbabwe |
| 2050s | 0.125 | 0.225 | 0.1 | Zimbabwe |
| 2060s | 0.07 | 0.155 | 0.085 | Zimbabwe |
| 2070s | 0.035 | 0.1 | 0.065 | Zimbabwe |
| 2080s | 0.02 | 0.06 | 0.04 | Zimbabwe |
| 2090s | 0.02 | 0.035 | 0.015 | Zimbabwe |
| 2100s | 0.02 | 0.02 | 0 | — |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher wittgenstein projection: mean years of schooling. age 15+. gender gap, Peru or Zimbabwe?
- Peru, at 0.02 against 0.02 in Zimbabwe as of 2100.
- What is the difference in wittgenstein projection: mean years of schooling. age 15+. gender gap between Peru and Zimbabwe?
- 0, with Peru ahead.
- How many years of comparable data are there for Peru and Zimbabwe?
- 19 years are reported by both, from 2010 to 2100.
- How do Peru and Zimbabwe rank globally for wittgenstein projection: mean years of schooling. age 15+. gender gap?
- Peru ranks 79th and Zimbabwe ranks 79th of 166 countries.
- Where does this data come from?
- Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/, published as Wittgenstein Projection: Mean Years of Schooling. Age 15+. Gender Gap. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The difference between male and female mean number of years spent in school by age group. It is calculated by subtracting the female value from the male value. Data can be negative if the mean years of schooling for females is higher than for males. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/