ESCAP: Wb High Income Economies (wb_high) (unsdcode:98436) vs Lithuania: Enrolment in tertiary education, ISCED 8 programmes, both sexes

ESCAP: Wb High Income Economies (wb_high) (unsdcode:98436)
257,161
in 2024
Lithuania
2,569
in 2024
ESCAP: Wb High Income Economies (wb_high) (unsdcode:98436) rank
87th
Lithuania rank
86th

Enrolment in tertiary education, ISCED 8 programmes, both sexes over time

  • ESCAP: Wb High Income Economies (wb_high) (unsdcode:98436)
  • Lithuania
0100.0k200.0k300.0k199720102024

How they compare

ESCAP: Wb High Income Economies (wb_high) (unsdcode:98436) currently reports 257,161 against 2,569 in Lithuania, a difference of 254,592.

That makes ESCAP: Wb High Income Economies (wb_high) (unsdcode:98436)'s figure about 100.1 times Lithuania's.

Across all 27 years both countries report, ESCAP: Wb High Income Economies (wb_high) (unsdcode:98436) has been ahead every year.

ESCAP: Wb High Income Economies (wb_high) (unsdcode:98436) ranks 87th and Lithuania ranks 86th of 216 groups.

ESCAP: Wb High Income Economies (wb_high) (unsdcode:98436) has averaged higher in every one of the 4 decades both report.

Head to head by decade

Decade ESCAP: Wb High Income Economies (wb_high) (unsdcode:98436) Lithuania Difference Ahead
1990s 123,760 1,676 122,085 ESCAP: Wb High Income Economies (wb_high) (unsdcode:98436)
2000s 171,649 2,538 169,111 ESCAP: Wb High Income Economies (wb_high) (unsdcode:98436)
2010s 222,961 2,771 220,190 ESCAP: Wb High Income Economies (wb_high) (unsdcode:98436)
2020s 249,698 2,669 247,029 ESCAP: Wb High Income Economies (wb_high) (unsdcode:98436)

Averages of every year both report within each decade.

Frequently asked questions

Which has higher enrolment in tertiary education, isced 8 programmes, both sexes, ESCAP: Wb High Income Economies (wb_high) (unsdcode:98436) or Lithuania?
ESCAP: Wb High Income Economies (wb_high) (unsdcode:98436), at 257,161 against 2,569 in Lithuania as of 2024.
What is the difference in enrolment in tertiary education, isced 8 programmes, both sexes between ESCAP: Wb High Income Economies (wb_high) (unsdcode:98436) and Lithuania?
254,592, with ESCAP: Wb High Income Economies (wb_high) (unsdcode:98436) ahead.
How many years of comparable data are there for ESCAP: Wb High Income Economies (wb_high) (unsdcode:98436) and Lithuania?
27 years are reported by both, from 1998 to 2024.
How do ESCAP: Wb High Income Economies (wb_high) (unsdcode:98436) and Lithuania rank globally for enrolment in tertiary education, isced 8 programmes, both sexes?
ESCAP: Wb High Income Economies (wb_high) (unsdcode:98436) ranks 87th and Lithuania ranks 86th of 216 groups.
Where does this data come from?
UNESCO Institute for Statistics, published as Enrolment in tertiary education, ISCED 8 programmes, both sexes (number). 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

ESCAP: Wb High Income Economies (wb_high) (unsdcode:98436) vs Lithuania: Enrolment in tertiary education, ISCED 8 programmes, both sexes. Statizoid, drawing on UNESCO Institute for Statistics. Retrieved 10 September 2026, from https://education.statizoid.com/compare/enrolment-in-tertiary-education-isced-8-programmes-both-sexes-number-2/escap-wb-high-income-economies-wb-high-unsdcode-98436/lithuania/

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-SA 3.0 IGO (UNESCO Institute for Statistics); please keep the attribution.

<a href="https://education.statizoid.com/compare/enrolment-in-tertiary-education-isced-8-programmes-both-sexes-number-2/escap-wb-high-income-economies-wb-high-unsdcode-98436/lithuania/">ESCAP: Wb High Income Economies (wb_high) (unsdcode:98436) vs Lithuania: Enrolment in tertiary education, ISCED 8 programmes, both sexes</a> — Statizoid

About this data

Indicator
Enrolment in tertiary education, ISCED 8 programmes, both sexes (number)
Source
UNESCO Institute for Statistics
Licence
CC BY-SA 3.0 IGO (UNESCO Institute for Statistics)
Coverage
359 places, 7,935 data points, 1996–2025
Last refreshed

February 2026 Data Release