ESCAP: Wb High Income Economies (wb_high) (unsdcode:98436) vs Maldives: Enrolment in pre-primary education, female (number), gaps filled

ESCAP: Wb High Income Economies (wb_high) (unsdcode:98436)
2.19 million
in 2024
Maldives
4,920
in 2024
ESCAP: Wb High Income Economies (wb_high) (unsdcode:98436) rank
168th
Maldives rank
167th

Enrolment in pre-primary education, female (number), gaps filled over time

  • ESCAP: Wb High Income Economies (wb_high) (unsdcode:98436)
  • Maldives
01.0M2.0M3.0M197019972024

How they compare

ESCAP: Wb High Income Economies (wb_high) (unsdcode:98436) currently reports 2.19 million against 4,920 in Maldives, a difference of 2.18 million.

That makes ESCAP: Wb High Income Economies (wb_high) (unsdcode:98436)'s figure about 444.9 times Maldives's.

Across all 36 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 168th and Maldives ranks 167th of 221 groups.

ESCAP: Wb High Income Economies (wb_high) (unsdcode:98436) has averaged higher in every one of the 5 decades both report.

Head to head by decade

Decade ESCAP: Wb High Income Economies (wb_high) (unsdcode:98436) Maldives Difference Ahead
1970s 1.51 million 427 1.50 million ESCAP: Wb High Income Economies (wb_high) (unsdcode:98436)
1990s 1.63 million 4,880 1.63 million ESCAP: Wb High Income Economies (wb_high) (unsdcode:98436)
2000s 2.52 million 6,767 2.51 million ESCAP: Wb High Income Economies (wb_high) (unsdcode:98436)
2010s 2.42 million 9,788 2.41 million ESCAP: Wb High Income Economies (wb_high) (unsdcode:98436)
2020s 2.32 million 7,796 2.31 million 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 pre-primary education, female (number), gaps filled, ESCAP: Wb High Income Economies (wb_high) (unsdcode:98436) or Maldives?
ESCAP: Wb High Income Economies (wb_high) (unsdcode:98436), at 2.19 million against 4,920 in Maldives as of 2024.
What is the difference in enrolment in pre-primary education, female (number), gaps filled between ESCAP: Wb High Income Economies (wb_high) (unsdcode:98436) and Maldives?
2.18 million, 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 Maldives?
36 years are reported by both, from 1970 to 2024.
How do ESCAP: Wb High Income Economies (wb_high) (unsdcode:98436) and Maldives rank globally for enrolment in pre-primary education, female (number), gaps filled?
ESCAP: Wb High Income Economies (wb_high) (unsdcode:98436) ranks 168th and Maldives ranks 167th of 221 groups.
Where does this data come from?
Statizoid (derived), published as Enrolment in pre-primary education, 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 High Income Economies (wb_high) (unsdcode:98436) vs Maldives: Enrolment in pre-primary education, female (number), gaps filled. Statizoid, drawing on Statizoid (derived). Retrieved 15 September 2026, from https://education.statizoid.com/compare/enrolment-in-pre-primary-education-female-number-gaps-filled/escap-wb-high-income-economies-wb-high-unsdcode-98436/maldives/

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<a href="https://education.statizoid.com/compare/enrolment-in-pre-primary-education-female-number-gaps-filled/escap-wb-high-income-economies-wb-high-unsdcode-98436/maldives/">ESCAP: Wb High Income Economies (wb_high) (unsdcode:98436) vs Maldives: Enrolment in pre-primary education, female (number), gaps filled</a> — Statizoid

About this data

Indicator
Enrolment in pre-primary education, female (number), gaps filled
Source
Statizoid (derived)
Licence
Derived by Statizoid from the sources named on the page
Coverage
429 places, 17,609 data points, 1970–2025
Last refreshed

Enrolment in pre-primary education, female (number) with 697 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.