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

Philippines
1,276
in 2100
Somalia
1,480
in 2100
Philippines rank
37th
Somalia rank
35th

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

  • Philippines
  • Somalia
02.0k4.0k6.0k8.0k201020552100

How they compare

Somalia currently reports 1,480 against 1,276 in Philippines, a difference of 204.

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

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

Philippines ranks 37th and Somalia ranks 35th of 166 countries.

Across the 10 decades both report, Philippines averaged higher in 8 and Somalia in 2.

Head to head by decade

Decade Philippines Somalia Difference Ahead
2010s 7,058 520.45 6,538 Philippines
2020s 7,029 877.7 6,151 Philippines
2030s 6,551 1,299 5,253 Philippines
2040s 5,802 1,672 4,130 Philippines
2050s 4,911 1,933 2,978 Philippines
2060s 3,994 2,021 1,973 Philippines
2070s 3,091 2,007 1,084 Philippines
2080s 2,306 1,877 428.26 Philippines
2090s 1,661 1,664 3.11 Somalia
2100s 1,276 1,480 204.06 Somalia

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, Philippines or Somalia?
Somalia, at 1,480 against 1,276 in Philippines as of 2100.
What is the difference in wittgenstein projection: population in thousands by highest level of e between Philippines and Somalia?
204, with Somalia ahead.
How many years of comparable data are there for Philippines and Somalia?
19 years are reported by both, from 2010 to 2100.
How do Philippines and Somalia rank globally for wittgenstein projection: population in thousands by highest level of e?
Philippines ranks 37th and Somalia ranks 35th 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. Primary. Female. 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

Philippines vs Somalia: 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 18 August 2026, from https://reference.statizoid.com/compare/wittgenstein-projection-population-in-thousands-by-highest-level-of-educational/philippines/somalia-fed-rep/

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/philippines/somalia-fed-rep/">Philippines vs Somalia: 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. Primary. Female
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 primary education or incomplete lower 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/