ECA: Eca: Oil Ldcs (unsdcode:98122) vs Sint Maarten (Dutch part): Enrolment in tertiary education, all programmes, female (number)
Enrolment in tertiary education, all programmes, female (number) over time
- ECA: Eca: Oil Ldcs (unsdcode:98122)
- Sint Maarten (Dutch part)
How they compare
ECA: Eca: Oil Ldcs (unsdcode:98122) currently reports 847,864 against 146 in Sint Maarten (Dutch part), a difference of 847,718.
That makes ECA: Eca: Oil Ldcs (unsdcode:98122)'s figure about 5,807.3 times Sint Maarten (Dutch part)'s.
Across all 6 years both countries report, ECA: Eca: Oil Ldcs (unsdcode:98122) has been ahead every year.
ECA: Eca: Oil Ldcs (unsdcode:98122) ranks 195th and Sint Maarten (Dutch part) ranks 192nd of 221 groups.
ECA: Eca: Oil Ldcs (unsdcode:98122) has averaged higher in every one of the 1 decades both report.
Frequently asked questions
- Which has higher enrolment in tertiary education, all programmes, female (number), ECA: Eca: Oil Ldcs (unsdcode:98122) or Sint Maarten (Dutch part)?
- ECA: Eca: Oil Ldcs (unsdcode:98122), at 847,864 against 146 in Sint Maarten (Dutch part) as of 2021.
- What is the difference in enrolment in tertiary education, all programmes, female (number) between ECA: Eca: Oil Ldcs (unsdcode:98122) and Sint Maarten (Dutch part)?
- 847,718, with ECA: Eca: Oil Ldcs (unsdcode:98122) ahead.
- How many years of comparable data are there for ECA: Eca: Oil Ldcs (unsdcode:98122) and Sint Maarten (Dutch part)?
- 6 years are reported by both, from 2012 to 2017.
- How do ECA: Eca: Oil Ldcs (unsdcode:98122) and Sint Maarten (Dutch part) rank globally for enrolment in tertiary education, all programmes, female (number)?
- ECA: Eca: Oil Ldcs (unsdcode:98122) ranks 195th and Sint Maarten (Dutch part) ranks 192nd 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.
Individual pages
About this data
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.