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

Bhutan
5,781
in 2024
ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439)
2.46 million
in 2020
Bhutan rank
157th
ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439) rank
158th

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

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

How they compare

ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439) currently reports 2.46 million against 5,781 in Bhutan, a difference of 2.45 million.

That makes ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439)'s figure about 425.4 times Bhutan's.

Across all 23 years both countries report, ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439) has been ahead every year.

Bhutan ranks 157th and ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439) ranks 158th of 195 countries.

ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439) has averaged higher in every one of the 6 decades both report.

Head to head by decade

Decade Bhutan ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439) Difference Ahead
1970s 52.5 323,717 323,664 ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439)
1980s 59.5 357,508 357,449 ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439)
1990s 539 496,449 495,910 ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439)
2000s 1,493 1.08 million 1.08 million ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439)
2010s 3,952 1.90 million 1.90 million ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439)
2020s 5,984 2.46 million 2.45 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), Bhutan or ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439)?
ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439), at 2.46 million against 5,781 in Bhutan as of 2020.
What is the difference in enrolment in tertiary education, all programmes, female (number) between Bhutan and ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439)?
2.45 million, with ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439) ahead.
How many years of comparable data are there for Bhutan and ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439)?
23 years are reported by both, from 1978 to 2020.
How do Bhutan and ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439) rank globally for enrolment in tertiary education, all programmes, female (number)?
Bhutan ranks 157th and ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439) ranks 158th of 195 countries.
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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Bhutan vs ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439): 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/bhutan/escap-wb-low-income-economies-wb-low-unsdcode-98439/

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