AIMS: Pacific vs Tuvalu: Enrolment in pre-primary education, female (number), gaps filled
AIMS: Pacific
578,143
in 2024
Tuvalu
293
in 2024
AIMS: Pacific rank
200th
Tuvalu rank
198th
Enrolment in pre-primary education, female (number), gaps filled over time
- AIMS: Pacific
- Tuvalu
How they compare
AIMS: Pacific currently reports 578,143 against 293 in Tuvalu, a difference of 577,850.
That makes AIMS: Pacific's figure about 1,973.2 times Tuvalu's.
Across all 22 years both countries report, AIMS: Pacific has been ahead every year.
AIMS: Pacific ranks 200th and Tuvalu ranks 198th of 221 groups.
AIMS: Pacific has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | AIMS: Pacific | Tuvalu | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 234,786 | 349 | 234,438 | AIMS: Pacific |
| 2000s | 246,441 | 338.5 | 246,103 | AIMS: Pacific |
| 2010s | 525,434 | 337 | 525,097 | AIMS: Pacific |
| 2020s | 565,406 | 312.8 | 565,093 | AIMS: Pacific |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher enrolment in pre-primary education, female (number), gaps filled, AIMS: Pacific or Tuvalu?
- AIMS: Pacific, at 578,143 against 293 in Tuvalu as of 2024.
- What is the difference in enrolment in pre-primary education, female (number), gaps filled between AIMS: Pacific and Tuvalu?
- 577,850, with AIMS: Pacific ahead.
- How many years of comparable data are there for AIMS: Pacific and Tuvalu?
- 22 years are reported by both, from 1998 to 2024.
- How do AIMS: Pacific and Tuvalu rank globally for enrolment in pre-primary education, female (number), gaps filled?
- AIMS: Pacific ranks 200th and Tuvalu ranks 198th of 221 groups.
- Where does this data come from?
- Statizoid (derived), published as Enrolment in pre-primary education, 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 pre-primary education, female (number) with 697 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.