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

Colombia
653.32
in 2100
Philippines
734.41
in 2100
Colombia rank
59th
Philippines rank
58th

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

  • Colombia
  • Philippines
5001.0k1.5k2.0k2.5k201020552100

How they compare

Philippines currently reports 734.41 against 653.32 in Colombia, a difference of 81.09.

That makes Philippines's figure about 1.1 times Colombia's.

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

Colombia ranks 59th and Philippines ranks 58th of 166 countries.

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

Head to head by decade

Decade Colombia Philippines Difference Ahead
2010s 1,762 2,067 304.74 Philippines
2020s 1,994 2,441 447.14 Philippines
2030s 2,130 2,530 400.68 Philippines
2040s 2,104 2,418 314.21 Philippines
2050s 1,932 2,134 201.82 Philippines
2060s 1,680 1,772 92.02 Philippines
2070s 1,389 1,443 54.06 Philippines
2080s 1,089 1,144 54.73 Philippines
2090s 823.24 888.31 65.07 Philippines
2100s 653.32 734.41 81.09 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, Colombia or Philippines?
Philippines, at 734.41 against 653.32 in Colombia as of 2100.
What is the difference in wittgenstein projection: population in thousands by highest level of e between Colombia and Philippines?
81.09, with Philippines ahead.
How many years of comparable data are there for Colombia and Philippines?
19 years are reported by both, from 2010 to 2100.
How do Colombia and Philippines rank globally for wittgenstein projection: population in thousands by highest level of e?
Colombia ranks 59th and Philippines ranks 58th 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. Lower 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

Colombia 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 20 August 2026, from https://reference.statizoid.com/compare/wittgenstein-projection-population-in-thousands-by-highest-level-of-educational-5/colombia/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-5/colombia/philippines/">Colombia 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. Lower 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 lower secondary or incomplete upper 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/