Benin vs Philippines: Wittgenstein Projection: Population age 25-29 in thousands by highest

Benin
164.86
in 2100
Philippines
146.03
in 2100
Benin rank
36th
Philippines rank
39th

Wittgenstein Projection: Population age 25-29 in thousands by highest over time

  • Benin
  • Philippines
100200300400201020552100

How they compare

Benin currently reports 164.86 against 146.03 in Philippines, a difference of 18.83.

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

The two have swapped places 1 time across 19 shared years of data; in 2010 it was Philippines ahead.

Benin ranks 36th and Philippines ranks 39th of 166 countries.

Across the 10 decades both report, Benin averaged higher in 7 and Philippines in 3.

Head to head by decade

Decade Benin Philippines Difference Ahead
2010s 118.42 325.15 206.74 Philippines
2020s 194.51 358.73 164.22 Philippines
2030s 277.31 368.65 91.34 Philippines
2040s 345.38 338.49 6.88 Benin
2050s 373.62 304.79 68.84 Benin
2060s 364.69 264.41 100.28 Benin
2070s 332.03 226.53 105.51 Benin
2080s 270.87 194.56 76.3 Benin
2090s 209.03 165.87 43.16 Benin
2100s 164.86 146.03 18.83 Benin

Averages of every year both report within each decade.

Frequently asked questions

Which has higher wittgenstein projection: population age 25-29 in thousands by highest, Benin or Philippines?
Benin, at 164.86 against 146.03 in Philippines as of 2100.
What is the difference in wittgenstein projection: population age 25-29 in thousands by highest between Benin and Philippines?
18.83, with Benin ahead.
How many years of comparable data are there for Benin and Philippines?
19 years are reported by both, from 2010 to 2100.
How do Benin and Philippines rank globally for wittgenstein projection: population age 25-29 in thousands by highest?
Benin ranks 36th and Philippines ranks 39th 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 25-29 in thousands by highest level of educational attainment. Lower Secondary. Total. 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

Benin vs Philippines: Wittgenstein Projection: Population age 25-29 in thousands by highest. Statizoid, drawing on Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/. Retrieved 25 August 2026, from https://reference.statizoid.com/compare/wittgenstein-projection-population-age-25-29-in-thousands-by-highest-level-of-educational-6/benin/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-25-29-in-thousands-by-highest-level-of-educational-6/benin/philippines/">Benin vs Philippines: Wittgenstein Projection: Population age 25-29 in thousands by highest</a> — Statizoid

About this data

Indicator
Wittgenstein Projection: Population age 25-29 in thousands by highest level of educational attainment. Lower Secondary. Total
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 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/