ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439) vs Luxembourg: Enrolment in tertiary education, all programmes, female (number)

ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439)
2.46 million
in 2020
Luxembourg
4,390
in 2024
ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439) rank
158th
Luxembourg rank
159th

Enrolment in tertiary education, all programmes, female (number) over time

  • ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439)
  • Luxembourg
0500.0k1.0M1.5M2.0M2.5M197019972024

How they compare

ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439) currently reports 2.46 million against 4,390 in Luxembourg, a difference of 2.45 million.

That makes ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439)'s figure about 560.2 times Luxembourg's.

Across all 37 years both countries report, ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439) has been ahead every year.

ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439) ranks 158th and Luxembourg ranks 159th of 221 groups.

ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439) has averaged higher in every one of the 5 decades both report.

Head to head by decade

Decade ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439) Luxembourg Difference Ahead
1970s 274,793 187 274,606 ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439)
1980s 391,844 265.12 391,579 ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439)
2000s 901,356 1,544 899,812 ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439)
2010s 1.90 million 3,364 1.90 million ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439)
2020s 2.46 million 3,933 2.46 million ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439)

Averages of every year both report within each decade.

Frequently asked questions

Which has higher enrolment in tertiary education, all programmes, female (number), ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439) or Luxembourg?
ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439), at 2.46 million against 4,390 in Luxembourg as of 2020.
What is the difference in enrolment in tertiary education, all programmes, female (number) between ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439) and Luxembourg?
2.45 million, with ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439) ahead.
How many years of comparable data are there for ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439) and Luxembourg?
37 years are reported by both, from 1971 to 2020.
How do ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439) and Luxembourg rank globally for enrolment in tertiary education, all programmes, female (number)?
ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439) ranks 158th and Luxembourg ranks 159th of 221 groups.
Where does this data come from?
Statizoid (derived), published as Enrolment in tertiary education, all programmes, female (number), gaps filled. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439) vs Luxembourg: Enrolment in tertiary education, all programmes, female (number). Statizoid, drawing on Statizoid (derived). Retrieved 11 September 2026, from https://education.statizoid.com/compare/enrolment-in-tertiary-education-all-programmes-female-number-gaps-filled/escap-wb-low-income-economies-wb-low-unsdcode-98439/luxembourg/

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<a href="https://education.statizoid.com/compare/enrolment-in-tertiary-education-all-programmes-female-number-gaps-filled/escap-wb-low-income-economies-wb-low-unsdcode-98439/luxembourg/">ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439) vs Luxembourg: Enrolment in tertiary education, all programmes, female (number)</a> — Statizoid

About this data

Indicator
Enrolment in tertiary education, all programmes, female (number), gaps filled
Source
Statizoid (derived)
Licence
Derived by Statizoid from the sources named on the page
Coverage
416 places, 17,894 data points, 1970–2025
Last refreshed

Enrolment in tertiary education, all programmes, female (number) with 647 missing years estimated by linear interpolation between the nearest real observations. Only gaps of 4 years or fewer are filled, and never beyond the first or last actual measurement — these are filled holes, not forecasts.