Pakistan vs Philippines: Wittgenstein Projection: Population in thousands by highest level of e

Pakistan
34,172
in 2100
Philippines
41,815
in 2100
Pakistan rank
7th
Philippines rank
5th

Wittgenstein Projection: Population in thousands by highest level of e over time

  • Pakistan
  • Philippines
010.0k20.0k30.0k40.0k201020552100

How they compare

Philippines currently reports 41,815 against 34,172 in Pakistan, a difference of 7,643.

That makes Philippines's figure about 1.2 times Pakistan's.

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

Pakistan ranks 7th and Philippines ranks 5th of 166 countries.

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

Head to head by decade

Decade Pakistan Philippines Difference Ahead
2010s 3,541 8,625 5,084 Philippines
2020s 5,509 12,441 6,932 Philippines
2030s 7,854 16,857 9,002 Philippines
2040s 10,804 21,605 10,801 Philippines
2050s 14,109 26,426 12,317 Philippines
2060s 17,727 30,951 13,223 Philippines
2070s 21,817 34,801 12,984 Philippines
2080s 26,118 38,024 11,906 Philippines
2090s 30,630 40,457 9,828 Philippines
2100s 34,172 41,815 7,644 Philippines

Averages of every year both report within each decade.

Frequently asked questions

Which has higher wittgenstein projection: population in thousands by highest level of e, Pakistan or Philippines?
Philippines, at 41,815 against 34,172 in Pakistan as of 2100.
What is the difference in wittgenstein projection: population in thousands by highest level of e between Pakistan and Philippines?
7,643, with Philippines ahead.
How many years of comparable data are there for Pakistan and Philippines?
19 years are reported by both, from 2010 to 2100.
How do Pakistan and Philippines rank globally for wittgenstein projection: population in thousands by highest level of e?
Pakistan ranks 7th and Philippines ranks 5th 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 in thousands by highest level of educational attainment. Post 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

Pakistan vs Philippines: Wittgenstein Projection: Population in thousands by highest level of e. Statizoid, drawing on Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/. Retrieved 23 August 2026, from https://reference.statizoid.com/compare/wittgenstein-projection-population-in-thousands-by-highest-level-of-educational-11/pakistan/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-in-thousands-by-highest-level-of-educational-11/pakistan/philippines/">Pakistan vs Philippines: Wittgenstein Projection: Population in thousands by highest level of e</a> — Statizoid

About this data

Indicator
Wittgenstein Projection: Population in thousands by highest level of educational attainment. Post 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 that has completed post-secondary or tertiary 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/