British Virgin Islands vs San Marino: Enrolment in tertiary education, all programmes, female (number)
Enrolment in tertiary education, all programmes, female (number) over time
- British Virgin Islands
- San Marino
How they compare
San Marino currently reports 489 against 440 in British Virgin Islands, a difference of 49.
That makes San Marino's figure about 1.1 times British Virgin Islands's.
The two have swapped places 6 times across 9 shared years of data; in 2000 it was San Marino ahead.
British Virgin Islands ranks 186th and San Marino ranks 183rd of 195 countries.
Across the 3 decades both report, British Virgin Islands averaged higher in 1 and San Marino in 2.
Head to head by decade
| Decade | British Virgin Islands | San Marino | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 661.5 | 542 | 119.5 | British Virgin Islands |
| 2010s | 289.5 | 330 | 40.5 | San Marino |
| 2020s | 425.2 | 432.8 | 7.6 | San Marino |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher enrolment in tertiary education, all programmes, female (number), British Virgin Islands or San Marino?
- San Marino, at 489 against 440 in British Virgin Islands as of 2024.
- What is the difference in enrolment in tertiary education, all programmes, female (number) between British Virgin Islands and San Marino?
- 49, with San Marino ahead.
- How many years of comparable data are there for British Virgin Islands and San Marino?
- 9 years are reported by both, from 2000 to 2024.
- How do British Virgin Islands and San Marino rank globally for enrolment in tertiary education, all programmes, female (number)?
- British Virgin Islands ranks 186th 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.