Wittgenstein Projection: Mean years of schooling. Age 15-19. Total in Philippines
Philippines: Wittgenstein Projection: Mean years of schooling. Age 15-19. Total was 10.5 in 2100. ▲ Rising
Wittgenstein Projection: Mean years of schooling. Age 15-19. Total in Philippines, 2010–2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
Philippines recorded 10.5 for wittgenstein projection: mean years of schooling. age 15-19. total in 2100. That is the highest value across all 19 years on record.
Compared with earlier readings it is up 1.0% over ten years.
Over the whole period, wittgenstein projection: mean years of schooling. age 15-19. total in Philippines peaked at 10.5 in 2100 and was at its lowest, 8.9, in 2010.
That places Philippines 60th out of 166 countries with data for 2100, putting it in the middle of the range.
The long-run direction has been consistently rising across the 19 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 9 | 8.9 | 9.1 | 2 |
| 2020s | 9.35 | 9.3 | 9.4 | 2 |
| 2030s | 9.65 | 9.6 | 9.7 | 2 |
| 2040s | 9.85 | 9.8 | 9.9 | 2 |
| 2050s | 10.05 | 10 | 10.1 | 2 |
| 2060s | 10.15 | 10.1 | 10.2 | 2 |
| 2070s | 10.3 | 10.3 | 10.3 | 2 |
| 2080s | 10.35 | 10.3 | 10.4 | 2 |
| 2090s | 10.4 | 10.4 | 10.4 | 2 |
| 2100s | 10.5 | 10.5 | 10.5 | 1 |
Countries ranked near Philippines
More reference data data for Philippines
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 2.21 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 2.95 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 12.86 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 1.43 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 12.86 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 7.4 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 10.7 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 15.23 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 67.05 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 7.76 (2050)
Frequently asked questions
- What is wittgenstein projection: mean years of schooling. age 15-19. total in Philippines?
- Wittgenstein projection: mean years of schooling. age 15-19. total in Philippines was 10.5 in 2100, according to Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
- What is the highest wittgenstein projection: mean years of schooling. age 15-19. total recorded in Philippines?
- The highest recorded value was 10.5 in 2100.
- What is the lowest wittgenstein projection: mean years of schooling. age 15-19. total recorded in Philippines?
- The lowest recorded value was 8.9 in 2010.
- How does Philippines rank for wittgenstein projection: mean years of schooling. age 15-19. total?
- Philippines ranks 60th out of 166 countries with data for 2100.
- Is wittgenstein projection: mean years of schooling. age 15-19. total rising or falling in Philippines?
- Over the last ten years it is up 1.0%. The long-run trend across the full record is rising.
- Where does this Philippines data come from?
- The figures come from Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/, published as part of Wittgenstein Projection: Mean years of schooling. Age 15-19. Total. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 19 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
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/