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

ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439)
2.46 million
in 2020
Eswatini
4,104
in 2013
ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439) rank
158th
Eswatini rank
161st

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

  • ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439)
  • Eswatini
0500.0k1.0M1.5M2.0M2.5M197019952020

How they compare

ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439) currently reports 2.46 million against 4,104 in Eswatini, a difference of 2.45 million.

That makes ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439)'s figure about 599.2 times Eswatini's.

Across all 32 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 Eswatini ranks 161st 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) Eswatini Difference Ahead
1970s 269,156 278.55 268,877 ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439)
1980s 341,340 711 340,630 ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439)
1990s 470,039 2,135 467,904 ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439)
2000s 731,695 2,886 728,808 ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439)
2010s 1.68 million 4,304 1.68 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 Eswatini?
ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439), at 2.46 million against 4,104 in Eswatini 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 Eswatini?
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 Eswatini?
32 years are reported by both, from 1970 to 2013.
How do ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439) and Eswatini rank globally for enrolment in tertiary education, all programmes, female (number)?
ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439) ranks 158th and Eswatini ranks 161st 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 Eswatini: Enrolment in tertiary education, all programmes, female (number). Statizoid, drawing on Statizoid (derived). Retrieved 09 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/eswatini/

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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/eswatini/">ESCAP: Wb Low Income Economies (wb_low) (unsdcode:98439) vs Eswatini: 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.