DROP · THEFT FROM VEHICLEAPRIL 2026 BRIEFINGLOS ANGELES · 71.5K residents

Sherman Oaks Crime Rate Trends — Los Angeles

Sherman Oaks is a San Fernando Valley neighborhood organized around Ventura Boulevard and the 405/101 freeway interchange. Anchored by the Sherman Oaks Galleria and a long stretch of mid-century single-family homes south of Ventura on the Santa Monica Mountains foothills.

THEFT FROM VEHICLE · 24-MO COUNT04 2026 · 6
0367112-mo avg: 17.3
SHERMAN OAKSCITYWIDE TREND (RESCALED)-30% 12MO YOY
-80%MoM
-61%12mo YoY
208last 12mo
6this month
01 · TL;DR

Seven categories moved in Sherman Oaks this April — three ran below trend on a single-month basis, four registered as sustained structural shifts. The overall shape is a broad property-crime pullback: drops and multi-year declines dominate across nearly every tracked category, with no spikes anywhere in the mix.

Theft from vehicle leads the property-crime story. The trailing 12-month total sits at 208 incidents against a multi-year baseline of 712.26, and the year-over-year decline is 61.2%. Burglary and motor vehicle theft both ran below trend as well — burglary is down 42.1% over the prior 12 months (259 vs. 447), motor vehicle theft down 39.5% (167 vs. 276). Everything else tracked this month fell within those same downward sustained-shift patterns, with no category moving against the grain.

3 drops4 sustained shifts
02 · Notable signals

Notable signals 3

DROP · THEFT FROM VEHICLE

Theft from Vehicle

The past 12 months saw 208 incidents — about 71% below the 712 average from prior years.

DROP · MOTOR VEHICLE THEFT

Motor Vehicle Theft

The past 12 months saw 167 incidents — about 46% below the 309 average from prior years.

DROP · BURGLARY

Burglary

The past 12 months saw 259 incidents — about 40% below the 429 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
2024-052026-04
Robbery+9%
2024-052026-04
Aggravated Assault-16%
2024-052026-04
Sexual Assault+22%
2024-052026-04
Burglary-42%
2024-052026-04
Theft from Vehicle-61%
2024-052026-04
Other Larceny-6%
2024-052026-04
Motor Vehicle Theft-40%
2024-052026-04
Vandalism-37%
2024-052026-04
Arsonbelow threshold
2024-052026-04
05 · Forecast

What next month likely looks like

Forecasts trained through April 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

MAY 2026
Most likely 25 next month — likely between 13 and 38.
+16% vs 12-month average (≈21.6)

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

MAY 2026
Most likely 14 next month — likely between 2 and 28.
+3% vs 12-month average (≈13.9)

Other Larceny

MAY 2026
Most likely 56 next month — likely between 40 and 73.
+17% vs 12-month average (≈47.8)

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

MAY 2026
Most likely 26 next month — likely between 0 and 50.
+48% vs 12-month average (≈17.3)

Vandalism

MAY 2026
Most likely 35 next month — likely between 20 and 49.
+43% vs 12-month average (≈24.4)
06 · Context & comps

How Sherman Oaks compares

Peer neighborhoods picked by closest 12-month theft from vehicle 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 theft from vehicle levels.”

SPATIAL SPILLOVER · NEW

Do crime spikes here spill over to adjacent neighborhoods?

When Sherman Oaks has spiked other larceny historically (20 events on record), an adjacent neighborhood spiked the same category within 3 months 100% of the time. The strongest-travelling categories sit at the top of the table.

Sherman Oaks historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Other larceny20100%
Vandalism13100%
Sexual assault666.7%
Aggravated assault6100%
Burglary5100%
Motor vehicle theft4— too few

Each row shows Sherman Oaks's historical spike events for that category, and how often any of its 8 adjacent neighborhoods spiked the same category within the next 3 months. A high same-category rate suggests a shock that travels (e.g. theft crews moving across Los Angeles); a low rate means spikes here tend to be local to the neighborhood. Categories with fewer than 5 historical spike events are listed but their rates are suppressed.

07 · Patterns

Recurring local terms (last 12 months)

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

pettygrandsimpleshopliftingresidentialmoreidentitytfmvfirearmbfmvinjurylessthreatsweapondeadlyintimatepartneraggravatedfalseaccessoriespartspretensespossessalcoholcourt
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
05851,17012am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
01,3192,638MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
07511,503JanFebMarAprMayJunJulAugSepOctNovDec
08 · Methodology

How we built this page

DATA NOTE · LA FEED CHANGE

Counts from March 2024 onwardrun roughly 10 to 20 percent below LAPD's command-staff totals citywide. LAPD's legacy crime feed froze after a late-2024 cyber incident, and the replacement NIBRS feed has been shipping fewer rows than LAPD's own statistics show. The shortfall is most visible in homicide and in dense south-LA neighborhoods, because the new feed lacks coordinates and resolves location through reporting districts. Trend direction is still meaningful; absolute levels are not directly comparable to LAPD's headline figures.

Read the full LA caveat in methodology →

Data → Anomalies → Forecast → Page

Incident data is pulled from LAPD's open feed on the LA City Open Data portal — the NIBRS-coded feed from 2024-03 onward with UCR backfill to 2020. 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.