Marshall Islands vs San Marino: Enrolment in tertiary education, all programmes, female (number)
Marshall Islands
792
in 2024
San Marino
489
in 2024
Marshall Islands rank
180th
San Marino rank
183rd
Enrolment in tertiary education, all programmes, female (number) over time
- Marshall Islands
- San Marino
How they compare
Marshall Islands currently reports 792 against 489 in San Marino, a difference of 303.
That makes Marshall Islands's figure about 1.6 times San Marino's.
Across all 8 years both countries report, Marshall Islands has been ahead every year.
Marshall Islands ranks 180th and San Marino ranks 183rd of 195 countries.
Marshall Islands has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Marshall Islands | San Marino | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 734.22 | 384 | 350.22 | Marshall Islands |
| 2020s | 830.4 | 432.8 | 397.6 | Marshall Islands |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher enrolment in tertiary education, all programmes, female (number), Marshall Islands or San Marino?
- Marshall Islands, at 792 against 489 in San Marino as of 2024.
- What is the difference in enrolment in tertiary education, all programmes, female (number) between Marshall Islands and San Marino?
- 303, with Marshall Islands ahead.
- How many years of comparable data are there for Marshall Islands and San Marino?
- 8 years are reported by both, from 2012 to 2024.
- How do Marshall Islands and San Marino rank globally for enrolment in tertiary education, all programmes, female (number)?
- Marshall Islands ranks 180th and San Marino ranks 183rd of 195 countries.
- 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.