AIMS: Central Asia vs San Marino: Enrolment in tertiary education, all programmes, male (number), gaps
Enrolment in tertiary education, all programmes, male (number), gaps over time
- AIMS: Central Asia
- San Marino
How they compare
AIMS: Central Asia currently reports 1.37 million against 544 in San Marino, a difference of 1.37 million.
That makes AIMS: Central Asia's figure about 2,516.5 times San Marino's.
Across all 13 years both countries report, AIMS: Central Asia has been ahead every year.
AIMS: Central Asia ranks 184th and San Marino ranks 181st of 221 groups.
AIMS: Central Asia has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | AIMS: Central Asia | San Marino | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 728,026 | 395.67 | 727,631 | AIMS: Central Asia |
| 2010s | 790,288 | 418 | 789,870 | AIMS: Central Asia |
| 2020s | 1.03 million | 543.2 | 1.03 million | AIMS: Central Asia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher enrolment in tertiary education, all programmes, male (number), gaps, AIMS: Central Asia or San Marino?
- AIMS: Central Asia, at 1.37 million against 544 in San Marino as of 2024.
- What is the difference in enrolment in tertiary education, all programmes, male (number), gaps between AIMS: Central Asia and San Marino?
- 1.37 million, with AIMS: Central Asia ahead.
- How many years of comparable data are there for AIMS: Central Asia and San Marino?
- 13 years are reported by both, from 2000 to 2024.
- How do AIMS: Central Asia and San Marino rank globally for enrolment in tertiary education, all programmes, male (number), gaps?
- AIMS: Central Asia ranks 184th and San Marino ranks 181st of 221 groups.
- Where does this data come from?
- Statizoid (derived), published as Enrolment in tertiary education, all programmes, male (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, male (number) with 661 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.