SPIKE · OTHER LARCENYAUGUST 2026 BRIEFINGLOS ANGELES · 65.0K residents

Woodland Hills Crime Rate Trends — Los Angeles

Woodland Hills is a far western San Fernando Valley neighborhood organized around Ventura Boulevard and the Topanga Canyon Boulevard intersection. Anchored by the Westfield Topanga shopping mall, the Warner Center business district, and Pierce College.

OTHER LARCENY · 24-MO COUNT08 2026 · 89
07114112-mo avg: 96.3
WOODLAND HILLSCITYWIDE TREND (RESCALED)+24% 12MO YOY
+4%MoM
+37%12mo YoY
1,155last 12mo
89this month
01 · TL;DR

Five tracked signals surfaced in Woodland Hills this August: two spikes, one below-trend drop, and two sustained shifts. The dominant story is a broad structural rise in larceny and vehicle crime running alongside a steep, multi-year collapse in burglary. Those two forces are moving in opposite directions at the same time, and the gap between them is wide enough to be the defining feature of the month.

Other larceny is the strongest signal, up 36.7% over the prior 12 months, 1,155 incidents against 845. Aggravated assault also registered as a spike this month, with the trailing 12-month total at 135 against 115 the year before, a 17.4% rise. Burglary ran the other direction: 186 incidents in the current 12-month window against 344 in the prior period, down 45.9%, a sustained structural drop that stands out against the otherwise upward property-crime trend.

2 spikes1 drop2 sustained shifts
02 · Notable signals

Notable signals 3

SPIKE · OTHER LARCENY

Other Larceny

The past 12 months saw 1,155 incidents — about 118% above the 530 average from prior years.

SPIKE · AGGRAVATED ASSAULT

Aggravated Assault

The past 12 months saw 135 incidents — about 32% above the 102 average from prior years.

DROP · BURGLARY

Burglary

The past 12 months saw 186 incidents — about 46% below the 342 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
2024-092026-08
Robbery-19%
2024-092026-08
Aggravated Assault+17%
2024-092026-08
Sexual Assault+20%
2024-092026-08
Burglary-46%
2024-092026-08
Theft from Vehicle+22%
2024-092026-08
Other Larceny+37%
2024-092026-08
Motor Vehicle Theft+29%
2024-092026-08
Vandalism-21%
2024-092026-08
Arsonbelow threshold
2024-092026-08
05 · Forecast

What next month likely looks like

Forecasts trained through August 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

SEPTEMBER 2026
Most likely 29 next month — likely between 14 and 45.
+86% vs 12-month average (≈15.5)

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

SEPTEMBER 2026
Most likely 11 next month — likely between 0 and 23.
−25% vs 12-month average (≈14.3)

Other Larceny

SEPTEMBER 2026
Most likely 78 next month — likely between 41 and 117.
−19% vs 12-month average (≈96.3)

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

SEPTEMBER 2026
Most likely 29 next month — likely between 6 and 51.
−15% vs 12-month average (≈34.2)

Vandalism

SEPTEMBER 2026
Most likely 35 next month — likely between 21 and 49.
+18% vs 12-month average (≈29.8)
06 · Context & comps

How Woodland Hills compares

Peer neighborhoods picked by closest 12-month other larceny 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 other larceny levels.”

SPATIAL SPILLOVER · NEW

Do crime spikes here spill over to adjacent neighborhoods?

Woodland Hillsdoesn't have enough spike history in any single category for a stable spillover rate yet (we want at least 5 events). The table below lists what we have.

Woodland Hills historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Aggravated assault2— too few
Other larceny2— too few

Each row shows Woodland Hills's historical spike events for that category, and how often any of its 6 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 Woodland Hills, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

pettyshopliftinggrandsimplemorebfmvresidentialidentityinjuryaccessoriespartsfirearmcourtlessweapondeadlyfalsethreatspossessintimatepartneraggravatedordertfmvpretenses
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
05561,11112am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
01,2012,402MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
07571,514JanFebMarAprMayJunJulAugSepOctNovDec
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.