France vs Philippines: Wittgenstein Projection: Population age 15-19 in thousands by highest

France
1,441
in 2100
Philippines
2,196
in 2100
France rank
11th
Philippines rank
8th

Wittgenstein Projection: Population age 15-19 in thousands by highest over time

  • France
  • Philippines
1.0k1.5k2.0k2.5k201020552100

How they compare

Philippines currently reports 2,196 against 1,441 in France, a difference of 755.

That makes Philippines's figure about 1.5 times France's.

Across all 19 years both countries report, Philippines has been ahead every year.

France ranks 11th and Philippines ranks 8th of 166 countries.

Philippines has averaged higher in every one of the 10 decades both report.

Head to head by decade

Decade France Philippines Difference Ahead
2010s 889.4 1,650 760.24 Philippines
2020s 1,062 2,079 1,017 Philippines
2030s 1,189 2,338 1,149 Philippines
2040s 1,279 2,559 1,280 Philippines
2050s 1,373 2,668 1,295 Philippines
2060s 1,429 2,661 1,233 Philippines
2070s 1,448 2,588 1,140 Philippines
2080s 1,473 2,464 991.14 Philippines
2090s 1,466 2,303 836.79 Philippines
2100s 1,441 2,196 755.75 Philippines

Averages of every year both report within each decade.

Frequently asked questions

Which has higher wittgenstein projection: population age 15-19 in thousands by highest, France or Philippines?
Philippines, at 2,196 against 1,441 in France as of 2100.
What is the difference in wittgenstein projection: population age 15-19 in thousands by highest between France and Philippines?
755, with Philippines ahead.
How many years of comparable data are there for France and Philippines?
19 years are reported by both, from 2010 to 2100.
How do France and Philippines rank globally for wittgenstein projection: population age 15-19 in thousands by highest?
France ranks 11th and Philippines ranks 8th 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: Population age 15-19 in thousands by highest level of educational attainment. Upper Secondary. Male. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

Share, cite or embed this page

Cite this page

France vs Philippines: Wittgenstein Projection: Population age 15-19 in thousands by highest. Statizoid, drawing on Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/. Retrieved 28 August 2026, from https://reference.statizoid.com/compare/wittgenstein-projection-population-age-15-19-in-thousands-by-highest-level-of-educational-8/france/philippines/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under CC BY 4.0 (World Bank Open Data); please keep the attribution.

<a href="https://reference.statizoid.com/compare/wittgenstein-projection-population-age-15-19-in-thousands-by-highest-level-of-educational-8/france/philippines/">France vs Philippines: Wittgenstein Projection: Population age 15-19 in thousands by highest</a> — Statizoid

About this data

Indicator
Wittgenstein Projection: Population age 15-19 in thousands by highest level of educational attainment. Upper Secondary. Male
Source
Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
167 places, 3,173 data points, 2010–2100
Last refreshed

Total population in thousands in the specified age group that has completed upper secondary or incomplete post-secondary education as the highest level of educational attainment. 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/