AIMS: Central Asia vs Suriname: Enrolment in tertiary education, all programmes, female (number)
Enrolment in tertiary education, all programmes, female (number) over time
- AIMS: Central Asia
- Suriname
How they compare
AIMS: Central Asia currently reports 1.46 million against 811 in Suriname, a difference of 1.46 million.
That makes AIMS: Central Asia's figure about 1,797.3 times Suriname's.
Across all 7 years both countries report, AIMS: Central Asia has been ahead every year.
AIMS: Central Asia ranks 177th and Suriname ranks 179th 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 | Suriname | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 623,514 | 3,213 | 620,301 | AIMS: Central Asia |
| 2010s | 795,157 | 1,524 | 793,633 | AIMS: Central Asia |
| 2020s | 1.04 million | 1,813 | 1.04 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, female (number), AIMS: Central Asia or Suriname?
- AIMS: Central Asia, at 1.46 million against 811 in Suriname as of 2024.
- What is the difference in enrolment in tertiary education, all programmes, female (number) between AIMS: Central Asia and Suriname?
- 1.46 million, with AIMS: Central Asia ahead.
- How many years of comparable data are there for AIMS: Central Asia and Suriname?
- 7 years are reported by both, from 2002 to 2024.
- How do AIMS: Central Asia and Suriname rank globally for enrolment in tertiary education, all programmes, female (number)?
- AIMS: Central Asia ranks 177th and Suriname ranks 179th 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.