What is the difference in enrolment in tertiary education, all programmes, female (number) between ESCAP: Lldc (lldc_e) (unsdcode:98412) and Eswatini?

2.29 million, with ESCAP: Lldc (lldc_e) (unsdcode:98412) ahead.

How many years of comparable data are there for ESCAP: Lldc (lldc_e) (unsdcode:98412) and Eswatini?

22 years are reported by both, from 1980 to 2013.

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.

ESCAP: Lldc (lldc_e) (unsdcode:98412) vs Eswatini: Enrolment in tertiary education, all programmes, female (number)

ESCAP: Lldc (lldc_e) (unsdcode:98412)

2.29 million

in 2024

Eswatini

4,104

in 2013

ESCAP: Lldc (lldc_e) (unsdcode:98412) rank

160th

Eswatini rank

161st

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

ESCAP: Lldc (lldc_e) (unsdcode:98412)
Eswatini

How they compare

ESCAP: Lldc (lldc_e) (unsdcode:98412) currently reports 2.29 million against 4,104 in Eswatini, a difference of 2.29 million.

That makes ESCAP: Lldc (lldc_e) (unsdcode:98412)'s figure about 558.7 times Eswatini's.

Across all 22 years both countries report, ESCAP: Lldc (lldc_e) (unsdcode:98412) has been ahead every year.

ESCAP: Lldc (lldc_e) (unsdcode:98412) ranks 160th and Eswatini ranks 161st of 221 groups.

ESCAP: Lldc (lldc_e) (unsdcode:98412) has averaged higher in every one of the 4 decades both report.

Head to head by decade

Decade	ESCAP: Lldc (lldc_e) (unsdcode:98412)	Eswatini	Difference	Ahead
1980s	699,438	711	698,726	ESCAP: Lldc (lldc_e) (unsdcode:98412)
1990s	666,720	2,135	664,585	ESCAP: Lldc (lldc_e) (unsdcode:98412)
2000s	938,879	2,886	935,992	ESCAP: Lldc (lldc_e) (unsdcode:98412)
2010s	1.34 million	4,304	1.33 million	ESCAP: Lldc (lldc_e) (unsdcode:98412)

Averages of every year both report within each decade.

Frequently asked questions

Which has higher enrolment in tertiary education, all programmes, female (number), ESCAP: Lldc (lldc_e) (unsdcode:98412) or Eswatini?: ESCAP: Lldc (lldc_e) (unsdcode:98412), at 2.29 million against 4,104 in Eswatini as of 2024.
What is the difference in enrolment in tertiary education, all programmes, female (number) between ESCAP: Lldc (lldc_e) (unsdcode:98412) and Eswatini?: 2.29 million, with ESCAP: Lldc (lldc_e) (unsdcode:98412) ahead.
How many years of comparable data are there for ESCAP: Lldc (lldc_e) (unsdcode:98412) and Eswatini?: 22 years are reported by both, from 1980 to 2013.
How do ESCAP: Lldc (lldc_e) (unsdcode:98412) and Eswatini rank globally for enrolment in tertiary education, all programmes, female (number)?: ESCAP: Lldc (lldc_e) (unsdcode:98412) ranks 160th 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: Lldc (lldc_e) (unsdcode:98412) vs Eswatini: Enrolment in tertiary education, all programmes, female (number). Statizoid, drawing on Statizoid (derived). Retrieved 29 August 2026, from https://education.statizoid.com/compare/enrolment-in-tertiary-education-all-programmes-female-number-gaps-filled/escap-lldc-lldc-e-unsdcode-98412/eswatini/

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<a href="https://education.statizoid.com/compare/enrolment-in-tertiary-education-all-programmes-female-number-gaps-filled/escap-lldc-lldc-e-unsdcode-98412/eswatini/">ESCAP: Lldc (lldc_e) (unsdcode:98412) 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: 29 August 2026

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.