Panama vs Philippines: Wittgenstein Projection: Mean years of schooling. Age 0-19. Total
Wittgenstein Projection: Mean years of schooling. Age 0-19. Total over time
- Panama
- Philippines
How they compare
Panama currently reports 2.8 against 2.8 in Philippines, a difference of 0.
The two have swapped places 10 times across 19 shared years of data; in 2010 it was Philippines ahead.
Panama ranks 49th and Philippines ranks 49th of 166 countries.
Panama has averaged higher in every one of the 10 decades both report.
Head to head by decade
| Decade | Panama | Philippines | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 2.1 | 2.05 | 0.05 | Panama |
| 2020s | 2.45 | 2.3 | 0.15 | Panama |
| 2030s | 2.45 | 2.4 | 0.05 | Panama |
| 2040s | 2.55 | 2.5 | 0.05 | Panama |
| 2050s | 2.65 | 2.6 | 0.05 | Panama |
| 2060s | 2.7 | 2.7 | 0 | — |
| 2070s | 2.75 | 2.7 | 0.05 | Panama |
| 2080s | 2.8 | 2.8 | 0 | — |
| 2090s | 2.8 | 2.8 | 0 | — |
| 2100s | 2.8 | 2.8 | 0 | — |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher wittgenstein projection: mean years of schooling. age 0-19. total, Panama or Philippines?
- Panama, at 2.8 against 2.8 in Philippines as of 2100.
- What is the difference in wittgenstein projection: mean years of schooling. age 0-19. total between Panama and Philippines?
- 0, with Panama ahead.
- How many years of comparable data are there for Panama and Philippines?
- 19 years are reported by both, from 2010 to 2100.
- How do Panama and Philippines rank globally for wittgenstein projection: mean years of schooling. age 0-19. total?
- Panama ranks 49th and Philippines ranks 49th 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 0-19. Total. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Mean number of years spent in school by age group and gender. 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/