Papua New Guinea vs WB: Heavily Indebted Poor Countries (hipc): Enrolment in secondary education, female (number), gaps filled

Papua New Guinea
287,654
in 2023
WB: Heavily Indebted Poor Countries (hipc)
25.42 million
in 2023
Papua New Guinea rank
100th
WB: Heavily Indebted Poor Countries (hipc) rank
103rd

Enrolment in secondary education, female (number), gaps filled over time

  • Papua New Guinea
  • WB: Heavily Indebted Poor Countries (hipc)
010.0M20.0M30.0M197019962023

How they compare

WB: Heavily Indebted Poor Countries (hipc) currently reports 25.42 million against 287,654 in Papua New Guinea, a difference of 25.13 million.

That makes WB: Heavily Indebted Poor Countries (hipc)'s figure about 88.4 times Papua New Guinea's.

Across all 30 years both countries report, WB: Heavily Indebted Poor Countries (hipc) has been ahead every year.

Papua New Guinea ranks 100th and WB: Heavily Indebted Poor Countries (hipc) ranks 103rd of 218 countries.

WB: Heavily Indebted Poor Countries (hipc) has averaged higher in every one of the 5 decades both report.

Head to head by decade

Decade Papua New Guinea WB: Heavily Indebted Poor Countries (hipc) Difference Ahead
1970s 9,924 1.55 million 1.54 million WB: Heavily Indebted Poor Countries (hipc)
1980s 21,573 3.30 million 3.28 million WB: Heavily Indebted Poor Countries (hipc)
1990s 34,379 4.30 million 4.26 million WB: Heavily Indebted Poor Countries (hipc)
2010s 203,896 19.63 million 19.42 million WB: Heavily Indebted Poor Countries (hipc)
2020s 272,128 24.16 million 23.89 million WB: Heavily Indebted Poor Countries (hipc)

Averages of every year both report within each decade.

Frequently asked questions

Which has higher enrolment in secondary education, female (number), gaps filled, Papua New Guinea or WB: Heavily Indebted Poor Countries (hipc)?
WB: Heavily Indebted Poor Countries (hipc), at 25.42 million against 287,654 in Papua New Guinea as of 2023.
What is the difference in enrolment in secondary education, female (number), gaps filled between Papua New Guinea and WB: Heavily Indebted Poor Countries (hipc)?
25.13 million, with WB: Heavily Indebted Poor Countries (hipc) ahead.
How many years of comparable data are there for Papua New Guinea and WB: Heavily Indebted Poor Countries (hipc)?
30 years are reported by both, from 1970 to 2023.
How do Papua New Guinea and WB: Heavily Indebted Poor Countries (hipc) rank globally for enrolment in secondary education, female (number), gaps filled?
Papua New Guinea ranks 100th and WB: Heavily Indebted Poor Countries (hipc) ranks 103rd of 218 countries.
Where does this data come from?
Statizoid (derived), published as Enrolment in secondary education, female (number), gaps filled. 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

Papua New Guinea vs WB: Heavily Indebted Poor Countries (hipc): Enrolment in secondary education, female (number), gaps filled. Statizoid, drawing on Statizoid (derived). Retrieved 15 September 2026, from https://education.statizoid.com/compare/enrolment-in-secondary-education-female-number-gaps-filled/papua-new-guinea/wb-heavily-indebted-poor-countries-hipc/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under Derived by Statizoid from the sources named on the page; please keep the attribution.

<a href="https://education.statizoid.com/compare/enrolment-in-secondary-education-female-number-gaps-filled/papua-new-guinea/wb-heavily-indebted-poor-countries-hipc/">Papua New Guinea vs WB: Heavily Indebted Poor Countries (hipc): Enrolment in secondary education, female (number), gaps filled</a> — Statizoid

About this data

Indicator
Enrolment in secondary education, female (number), gaps filled
Source
Statizoid (derived)
Licence
Derived by Statizoid from the sources named on the page
Coverage
439 places, 19,497 data points, 1970–2025
Last refreshed

Enrolment in secondary education, female (number) with 736 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.