Cambridge Intrntl Prep School

San Francisco · San Francisco County · Private
Private San Francisco County
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University of California outcomes · Class of 2019
UC Reach
N/A
(class size est.)
UC Application Reach
N/A
26 applications
UC Admit Rate
N/A
None / 26 applications
UC Yield Rate
N/A
None enrolled of None admitted
Yield vs. Enrollment Reach: Yield answers "of UC admits, what % chose UC?" — denominator is just the admits. A small admitted cohort can post a low yield even when the school sends a healthy share of its class to UC.
UC Enrollment Reach
N/A
None enrollees / None seniors
Enrollment Reach vs. Yield: Reach answers "of the whole senior class, what % ended up at UC?" — denominator is everyone. High Yield with low Enrollment Reach is common at elite privates: most admits matriculate, but the school sends most of its class to non-UC selective colleges.
Selective UC Reach (UCSD, UCSB, UCI, UCD)
N/A
Elite UC Reach (UCB + UCLA)
N/A
Senior Class Size
N/A
Run CDE download to enable Reach %
Total School Enrollment
N/A
All grades · Private School Affidavit

Private-school figures come from the California Private School Affidavit. Per CDE, inclusion in private-school data is not an evaluation, approval, or endorsement of a school.

Avg. Applicant GPA · top-6 UCs
3.75

UC funnel — which kids are getting in at what GPA

Combining the school's applicant pool GPA, admit pool GPA, actual admit rate, and statewide CA admit rates by individual GPA band, we can read which GPA tiers tend to get in — and which don't.

🎯 Who's actually getting into UC from Cambridge Intrntl Prep School
Campus 4.00+ GPA 3.70–3.99 GPA 3.30–3.69 GPA < 3.30 GPA
UC Davis Strong shot Real shot Moderate Long odds
Strong shot = ≥30% statewide admit rate at this band · Real shot = 10–29% · Moderate = 5–9% · Long odds = 1–4% · Filtered out = under 1%. Tiers map this school's likely outcomes by GPA tier using statewide CA admit rates from UCOP 2019.

The numbers behind it

Campus Applicant GPA Admit GPA Lift Admit rate vs peer schools @ same GPA
UC Davis (2018) 3.82 4.04 +0.22 50.0% Peers +0.33 · wider
📊 Statewide CA admit rates by individual GPA band, 2019 (for reference)
GPA band UCB UCLA UCSD UCSB UCI UCD
4.00+ 26.5% 21.8% 54.3% 55.1% 48.7% 72.1%
3.70–3.99 4.4% 2.5% 19.0% 16.6% 20.2% 25.2%
3.30–3.69 1.3% 1.2% 5.6% 4.0% 4.4% 6.0%
3.00–3.29 1.3% 0.6% 0.6% 1.0% 0.7% 1.9%
< 3.00 1.1% 0.6% 0.7% 0.7% 0.5% 2.0%
How we infer the tier labels: Each tier comes from the statewide CA admit rate at that GPA band at that UC. The "vs peers" column compares this school's lift (admit GPA − applicant GPA) to the average lift at ~100–300 other CA schools with similar applicant pool GPA. What this isn't: a guarantee. UC comprehensive review weighs essays, course rigor, demographics, and context-of-opportunity beyond GPA. A 3.9 with strong context can land an admit; a 4.0 with weak essays can be denied. Use as a baseline expectation, not a verdict. Per-campus year is shown when it differs from the headline year (UCOP doesn't always publish admit-GPA for every campus every year).

UC Outcomes Trend — 2018–2019

UC Admit Rate %
UC Reach % (where available)
UC Admits (count, right axis)

Class size from CDE grade 12 enrollment. Campus-level data — applicant/admit totals may count a student at multiple campuses more than once.

Campus Breakdown — 2019

Campus Applicants Admits Enrollees Admit Rate UC Reach Yield Avg GPA (App) Avg GPA (Adm)
UC San Diego → Selective 6 3.72
UC Santa Barbara → Selective 8 3.80
UC Irvine → Selective 7 3.72
UC Davis → 5
⚠ Campus-level totals may count one student admitted to multiple UC campuses more than once. Admit Volume metrics are not the same as UC Reach, which requires unique-student counts. See methodology →

What This Means

Note: admit counts used here are campus-level totals. A student admitted to both UCLA and UCSD is counted twice. When UCOP unique-student data becomes available it will be loaded automatically and the labels will update.
Senior class size is estimated from CDE grade 12 enrollment data. Reach percentages should be interpreted as approximate.
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