AIMS: Pacific vs San Marino: Enrolment in tertiary education, all programmes, both sexes (number)
Enrolment in tertiary education, all programmes, both sexes (number) over time
- AIMS: Pacific
- San Marino
How they compare
AIMS: Pacific currently reports 2.05 million against 1,033 in San Marino, a difference of 2.05 million.
That makes AIMS: Pacific's figure about 1,985.2 times San Marino's.
Across all 13 years both countries report, AIMS: Pacific has been ahead every year.
AIMS: Pacific ranks 188th and San Marino ranks 185th of 221 groups.
AIMS: Pacific has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | AIMS: Pacific | San Marino | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 1.99 million | 934.67 | 1.99 million | AIMS: Pacific |
| 2010s | 2.12 million | 866.4 | 2.12 million | AIMS: Pacific |
| 2020s | 2.04 million | 976 | 2.04 million | AIMS: Pacific |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher enrolment in tertiary education, all programmes, both sexes (number), AIMS: Pacific or San Marino?
- AIMS: Pacific, at 2.05 million against 1,033 in San Marino as of 2024.
- What is the difference in enrolment in tertiary education, all programmes, both sexes (number) between AIMS: Pacific and San Marino?
- 2.05 million, with AIMS: Pacific ahead.
- How many years of comparable data are there for AIMS: Pacific and San Marino?
- 13 years are reported by both, from 2000 to 2024.
- How do AIMS: Pacific and San Marino rank globally for enrolment in tertiary education, all programmes, both sexes (number)?
- AIMS: Pacific ranks 188th and San Marino ranks 185th of 221 groups.
- Where does this data come from?
- Statizoid (derived), published as Enrolment in tertiary education, all programmes, both sexes (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, both sexes (number) with 690 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.