DROP · BURGLARYMARCH 2026 BRIEFINGLOS ANGELES · 24.0K residents

University Park Crime Rate Trends — Los Angeles

University Park is the South LA neighborhood anchored by USC's University Park campus and the Exposition Park complex — LA Memorial Coliseum, BMO Stadium, the California Science Center, and the Natural History Museum of Los Angeles County. Bordered by Vermont Square to the south, Pico-Union to the north, and the 110 Freeway to the east.

BURGLARY · 24-MO COUNT03 2026 · 5
091812-mo avg: 3.2
UNIVERSITY PARKCITYWIDE TREND (RESCALED)-29% 12MO YOY
+25%MoM
-60%12mo YoY
38last 12mo
5this month
01 · TL;DR

University Park's March 2026 briefing is defined by structural contraction across property crime, not a single noisy month. Four tracked signals surfaced — one single-month below-trend reading and three sustained shifts, all pointing downward. The dominant story is a broad, multi-year pullback in property categories rather than any isolated event.

Burglary leads the signal mix: 38 incidents over the current 12 months against 96 in the prior year, a 60.4% decline, with both a one-month drop signal and a sustained structural shift registered. Theft from vehicle is also in sustained-shift territory, down 33.0% year-over-year (120 vs. 179). Other Larceny has fallen 68.0% against the prior 12 months — 170 incidents vs. 531 — one of the sharper multi-year contractions in the dataset. Motor vehicle theft, at 301 incidents and up 14.0% year-over-year, is the one category moving in the opposite direction; every other tracked category in University Park ran below its prior-year level.

1 drop3 sustained shifts
02 · Notable signals

Notable signals 1

DROP · BURGLARYZ = 5.34

Burglary

The past 12 months saw 38 incidents — about 65% below the 107 average from prior years.

03 · By category

All categories, last 24 months

Each panel: recent monthly count vs. trailing 12-month context. MoM is the most recent month vs. the one before; 12mo YoY compares the trailing year to the year before that.

Homicidebelow threshold
2024-042026-03
Robbery-14%
2024-042026-03
Aggravated Assault-23%
2024-042026-03
Sexual Assault-19%
2024-042026-03
Burglary-60%
2024-042026-03
Theft from Vehicle-33%
2024-042026-03
Other Larceny-68%
2024-042026-03
Motor Vehicle Theft+14%
2024-042026-03
Vandalism-20%
2024-042026-03
Arsonbelow threshold
2024-042026-03
05 · Forecast

What next month likely looks like

Forecasts trained through March 2026, with a likely range we're 95% confident the actual count will fall inside. Categories with too little recent volume — or violent categories at the neighborhood level — show no forecast and are surfaced through signals above instead. See the methodology page for the gating rules.

Aggravated Assault

NO FORECAST

Too low-volume per neighborhood for a reliable point forecast — see the rare-event and streak-break signals above instead.

Arson

NO FORECAST

Below the volume threshold for a reliable forecast — too few incidents in recent months to project from.

Burglary

APRIL 2026
Most likely 6 next month — likely between 0 and 14.
+86% vs 12-month average (≈3.2)

Homicide

NO FORECAST

Too low-volume per neighborhood for a reliable point forecast — see the rare-event and streak-break signals above instead.

Motor Vehicle Theft

APRIL 2026
Most likely 30 next month — likely between 18 and 41.
+18% vs 12-month average (≈25.1)

Other Larceny

APRIL 2026
Most likely 24 next month — likely between 0 and 52.
+70% vs 12-month average (≈14.2)

Robbery

NO FORECAST

Too low-volume per neighborhood for a reliable point forecast — see the rare-event and streak-break signals above instead.

Sexual Assault

NO FORECAST

Too low-volume per neighborhood for a reliable point forecast — see the rare-event and streak-break signals above instead.

Theft from Vehicle

APRIL 2026
Most likely 17 next month — likely between 8 and 26.
+65% vs 12-month average (≈10.0)

Vandalism

APRIL 2026
Most likely 12 next month — likely between 7 and 18.
+20% vs 12-month average (≈10.0)
06 · Context & comps

How University Park compares

Peer neighborhoods picked by closest 12-month burglary volume — a pragmatic v1 of peer matching. Demographic / housing-stock peer matching isn't built yet (we deliberately don't ingest income or race data alongside crime). Volume similarity has the right intuition: “neighborhoods experiencing comparable burglary levels.”

07 · Patterns

Recurring local terms (last 12 months)

Top terms in incident descriptions for University Park, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

grandsimplepettymorefirearmtfmvweaponbfmvdeadlyaggravatedthreatsresidentialconsenttrespassinjurypossesswithoutlessowneraccessoriespartstakeleaverefuseintimate
When does it happen?

Hour-of-day, day-of-week, and seasonality

Distribution of bucketed incidents in this neighborhood across the full analysis window. Useful for routine context — shopping-strip thefts vs. late-night assaults read very differently when you can see when each typically happens.

HOUR OF DAY · ALL CATEGORIES
029859612am6am12pm6pm11pm

Hour 0 is mildly inflated by reports without a known time defaulting to midnight — see methodology.

DAY OF WEEK · ALL CATEGORIES
07001,400MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0443887JanFebMarAprMayJunJulAugSepOctNovDec
08 · Methodology

How we built this page

Data → Anomalies → Forecast → Page

Incident data is pulled from SFPD's open dataset, mapped to 10 NIBRS-aligned categories, and aggregated to neighborhood × category × month. Anomalies are surfaced using strict thresholds (~p < 0.01). Forecasts are Prophet with low-count gating; violent categories at the neighborhood level skip the forecast and show rare-event / streak signals instead.

Spike rule: 12-mo total > baseline mean + 2.5σ AND ≥ 20 incidents AND 6-mo confirms. Drop rule: 12-mo total < baseline mean − 2.5σ AND baseline mean ≥ 20. Rare event: any incident in the last 90 days, no prior comparable in ≥ 5 years.