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

Philippines
37,855
in 2100
Uganda
43,235
in 2100
Philippines rank
16th
Uganda rank
15th

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

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

How they compare

Uganda currently reports 43,235 against 37,855 in Philippines, a difference of 5,380.

That makes Uganda'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.

Philippines ranks 16th and Uganda ranks 15th of 166 countries.

Across the 10 decades both report, Philippines averaged higher in 9 and Uganda in 1.

Head to head by decade

Decade Philippines Uganda Difference Ahead
2010s 19,450 568.72 18,881 Philippines
2020s 26,306 1,230 25,077 Philippines
2030s 32,606 2,516 30,089 Philippines
2040s 37,799 4,770 33,030 Philippines
2050s 41,354 8,382 32,972 Philippines
2060s 43,109 13,606 29,503 Philippines
2070s 43,286 20,399 22,887 Philippines
2080s 42,123 28,357 13,766 Philippines
2090s 39,889 36,876 3,013 Philippines
2100s 37,855 43,235 5,380 Uganda

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 Uganda?
Uganda, at 43,235 against 37,855 in Philippines as of 2100.
What is the difference in wittgenstein projection: population in thousands by highest level of e between Philippines and Uganda?
5,380, with Uganda ahead.
How many years of comparable data are there for Philippines and Uganda?
19 years are reported by both, from 2010 to 2100.
How do Philippines and Uganda rank globally for wittgenstein projection: population in thousands by highest level of e?
Philippines ranks 16th and Uganda ranks 15th 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. Upper 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

Philippines vs Uganda: 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 17 August 2026, from https://reference.statizoid.com/compare/wittgenstein-projection-population-in-thousands-by-highest-level-of-educational-9/philippines/uganda/

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-9/philippines/uganda/">Philippines vs Uganda: 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. Upper 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 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/