High Tech High Media Arts
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Most similar nearby schools
High Tech High International → High Tech High School → E3 Civic High → Kearny Digital Media & Design → Urban Discovery Academy Charter → Compare all similar →Enrollment trend & projection
If this trend holds (-1.7%/yr, Total enrollment)
At per-pupil funding of $ / student:
| Horizon | Projected Total enrollment | Change | Funding impact / yr |
|---|---|---|---|
| 1 yr (2027) | ~340 | -6 | $0 |
| 3 yr (2029) | ~329 | -17 | $0 |
| 5 yr (2031) | ~318 | -28 | $0 |
Straight-line extrapolation of the recent annual rate — a what-if, not a forecast of intent. Default = California's LCFF base grant for grades 9–12 ($12,423/ADA). Edit the figure to match your school.
Enrollment stability & demand — 2024-25
Two complementary signals: retention (do students stay once enrolled?) and demand (are families choosing the school?). Read against the San Diego County baseline — the demographic tide is moving every CA HS, so a school's gap vs. county is the actionable signal.
On the surface High Tech High Media Arts looks fine — enrollment is -5.6% vs. San Diego County -7.8%, and 87.2% of students stay through year-end. But <strong>chronic absenteeism is at 31.7%, up +15.3 pts since 2016-17 (county median 18.9%). Disengagement leads departure — families pull back from the day-to-day before they formally leave. The demand signal usually follows within 2–3 years.
48 of 375 students who enrolled at High Tech High Media Arts this year didn't maintain continuous enrollment (12.8% non-stability). Mid-year transfers, dropouts, and other exits are all counted.
Stability by student group
Nearest peer high schools
Source: California Department of Education, Stability Rate 2024-25. Benchmarks limited to non-virtual public & charter HS with ≥100 cumulative enrollees so by-design-high-churn continuation schools don't dominate the bottom of the distribution. Cumulative enrollment counts every student on the rolls during the year, so it can exceed peak-day enrollment.
Chronic absenteeism — 2024-25
Share of students missing 10% or more of expected attendance — the leading indicator that often precedes the demand decline shown above. Families disengaging tend to raise absenteeism first, then formally leave. Basis: grades 9–12.
Absenteeism is up 15.3 pp since 2016-17. A rising absenteeism trend often precedes formal departure — worth investigating which subgroups are driving it.
Source: California Department of Education, Chronic Absenteeism 2024-25. Benchmarks limited to non-virtual public & charter HS with ≥100 eligible students. CDE didn't publish a usable 2019-20 file (COVID).
SBAC academic outcomes — grade 11, 2025
Share of grade-11 students meeting or exceeding the California standard on Smarter Balanced ELA and Math. This is the academic-readiness signal that pairs with UC Reach (post-grad outcomes), stability (retention), and absenteeism (engagement). Note: statewide median Math is only ~20% — a school at 20% isn't an outlier; one at 45%+ genuinely is.
Source: California Assessment of Student Performance and Progress (CAASPP) Smarter Balanced research files. Benchmarks limited to non-virtual public & charter HS with ≥30 tested students.
Student composition — 2025-26
HS grades 9–12 racial/ethnic composition and program subgroups, from CDE Census Day Enrollment. Two-year shift shown when ≥1 pt — surfaces how the community served has changed since 2023-24.
Race / ethnicity
Program subgroups
Source: California Department of Education, Census Day Enrollment 2025-26 (HS grades 9–12). Δ shown when shift is ≥1 pt since 2023-24. Categories below 0.5% omitted.
District financial profile — San Diego Unified (FY2020)
From 4 years of NCES F-33 filings (the federally-mandated district finance survey). Public schools don't have their own books — the district does. These figures show the financial scale, revenue dependence, instruction-vs-overhead mix, and long-term debt that shape what a school can sustain.
Local: 65.2%
Federal: 10.6%
Source: NCES F-33 Annual Survey of School System Finances (Urban Institute Education Data API). Latest year currently published: FY2020. F-33 is a district-level federal filing — it reflects the San Diego Unified as a whole, not this individual school's books. Revenue mix shows where the district's dollars come from (state aid dominates in CA via LCFF). Instruction share is current expenditure on instruction ÷ total current expenditure (national benchmark ~60%). Long-term debt is end-of-year outstanding (mostly facilities bonds).
+17.6 pp above peer median (19.1%) · Ranked #3 of 8 similar schools
18.5%
53.3%
36.7%
Higher than 80% of California high schools (1105 ranked, ≥50 seniors)
High Tech High Media Arts's UC Reach of 36.7% is in the top quartile statewide (median 18.5%; top 25% bar 32.0%) — but it's still below the top-10% bar of 53.3%.
For context, the elite tier (top 1%) clears 102.7% — a gap of 66 pp from where this school sits.
Overall, High Tech High Media Arts's UC Reach is higher than 80% of California high schools (1105 ranked).
High Tech High Media Arts — Enrollment & Outcomes Snapshot
Public · San Diego · vs. 10 most similar nearby schools
- ▸On UC Reach, High Tech High Media Arts sits in the middle of its similar-school group (ranked #3 of 8): 37% vs. a peer median of 19%.
- ▸Its UC Reach has held roughly steady since 2018.
- ▸Senior-class enrollment is down 6% (89→84 from 2018 to 2026), tracking the peer-group median of -7%.
- ▸In business terms, this is market-share growth during a market contraction. San Diego County's senior population shrank 8% over the same window — High Tech High Media Arts only shrank 6%. So High Tech High Media Arts picked up about 2 percentage points of relative share — families chose it over the alternatives even as the overall pool got smaller. That's overperforming the market in a shrinking market.
- ▸At its recent rate (-1.7%/yr), enrollment projects to ~329 by 2029 — about 17 fewer students than today.
Enrollment projection
That's about 17 fewer students. At per-student funding of $ per student, that's roughly $0 in annual state funding at risk.
Default = California's LCFF base grant for grades 9–12 ($12,423 per ADA) — adjust to your district's actual per-pupil figure. Projection extrapolates the recent annual rate — not a forecast of intent.
Your school vs. its 10 most similar nearby schools
| School | Type | Size | UC Reach | Enroll. trend |
|---|---|---|---|---|
| High Tech High Media Arts | Public | 346 | 36.7% | -6% |
| Peer-group median | 19.1% | -7% | ||
| High Tech High International | Public | 348 | 19.3% | -13% |
| High Tech High School | Public | 394 | 41.0% | -18% |
| E3 Civic High | Public | 344 | 10.5% | -7% |
| Kearny Digital Media & Design | Public | 335 | 15.7% | +2% |
| Urban Discovery Academy Charter | Public | 310 | — | -33% |
| Kearny College Connections | Public | 319 | 19.1% | -8% |
| America's Finest Charter | Public | 334 | — | -6% |
| Kearny Eng Innov & Design | Public | 283 | 7.7% | +10% |
| John Muir Language Academy | Public | 418 | — | — |
| High Tech High Mesa | Public | 432 | 38.8% | +3% |
UC Reach = top-6 UC admits ÷ senior class (can exceed 100% when students are admitted to multiple campuses). Enrollment trend = first-to-latest grade-12 change on file. Similar schools matched on proximity, size, type. Methodology →
Admit rate vs. CA peer average, by campus ⓘ
How does this school's admit rate at each UC compare to other CA schools whose applicant pool averages the same GPA?
| Campus | Applicant GPA (avg) | Actual admit rate | CA peer avg | Δ | Verdict |
|---|---|---|---|---|---|
| UC Berkeley | 4.05 | 26.1% | 13.6% | +12.5pp | Over |
| UCLA | 4.09 | 22.7% | 9.8% | +12.9pp | Over |
| UC San Diego | 3.81 | 9.4% | 24.7% | -15.3pp | Under |
| UC Santa Barbara | 3.99 | 37.0% | 32.0% | +5.1pp | Over |
| UC Irvine | 3.94 | 19.0% | 24.2% | -5.1pp | Under |
| UC Davis | 3.93 | 34.8% | 32.4% | +2.4pp | On target |
Where High Tech High Media Arts sits vs. all California schools ⓘ
Overall, this school admits its UC applicants in line with what their GPAs predict (24.3% actual vs. 23.2% expected).
UC Outcomes Trend — 2018–2025
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 — 2025
| Campus | Applicants | Admits | Enrollees | Admit Rate | UC Reach | Yield | Avg GPA (App) | Avg GPA (Adm) |
|---|---|---|---|---|---|---|---|---|
| UC Berkeley → Elite | 23 | 6 | 3 | 26.1% | 6.1% | 50.0% | 4.05 | 4.34 |
| UCLA → Elite | 22 | 5 | 4 | 22.7% | 5.1% | 80.0% | 4.09 | 4.21 |
| UC San Diego → Selective | 32 | 3 | — | 9.4% | 3.1% | — | 3.81 | — |
| UC Santa Barbara → Selective | 27 | 10 | — | 37.0% | 10.2% | — | 3.99 | 4.33 |
| UC Irvine → Selective | 21 | 4 | — | 19.0% | 4.1% | — | 3.94 | — |
| UC Davis → | 23 | 8 | — | 34.8% | 8.2% | — | 3.93 | 4.23 |