SPIKE · OTHER LARCENYAPRIL 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 COUNT04 2026 · 62
07715412-mo avg: 81.6
WOODLAND HILLSCITYWIDE TREND (RESCALED)-29% 12MO YOY
-20%MoM
+23%12mo YoY
979last 12mo
62this month
01 · TL;DR

Six categories moved in Woodland Hills this April — three below-trend drops, one spike, and two sustained structural shifts. The dominant signal is the other-larceny spike, but the broader picture is mixed: property crime is pulling in opposite directions, with burglary and theft categories running well below prior-year levels even as larceny climbs.

Other larceny is the sharpest move: 979 incidents over the current 12 months against a baseline of 579, and up 23.0% against the prior 12-month period. Motor vehicle theft and theft from vehicle both ran below trend this month, consistent with burglary's 12-month drop of 45.0% (209 incidents vs. 380 prior year). The two sustained-shift signals point to structural change in property crime patterns, not just a noisy single month.

1 spike3 drops2 sustained shifts
02 · Notable signals

Notable signals 4

SPIKE · OTHER LARCENY

Other Larceny

The past 12 months saw 979 incidents — about 69% above the 579 average from prior years.

DROP · MOTOR VEHICLE THEFT

Motor Vehicle Theft

The past 12 months saw 164 incidents — about 31% below the 237 average from prior years.

DROP · THEFT FROM VEHICLE

Theft from Vehicle

The past 12 months saw 402 incidents — about 21% below the 508 average from prior years.

DROP · BURGLARY

Burglary

The past 12 months saw 209 incidents — about 41% below the 353 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-38%
2024-052026-04
Aggravated Assault-9%
2024-052026-04
Sexual Assault0%
2024-052026-04
Burglary-45%
2024-052026-04
Theft from Vehicle-6%
2024-052026-04
Other Larceny+23%
2024-052026-04
Motor Vehicle Theft-18%
2024-052026-04
Vandalism-17%
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 22 next month — likely between 10 and 34.
+26% vs 12-month average (≈17.4)

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 19 next month — likely between 10 and 27.
+36% vs 12-month average (≈13.7)

Other Larceny

MAY 2026
Most likely 81 next month — likely between 65 and 99.
0% vs 12-month average (≈81.6)

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 35 next month — likely between 21 and 49.
+4% vs 12-month average (≈33.5)

Vandalism

MAY 2026
Most likely 36 next month — likely between 22 and 50.
+11% vs 12-month average (≈32.5)
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?

When Woodland Hills has spiked other larceny historically (16 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.

Woodland Hills historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Vandalism2696.2%
Burglary1973.7%
Other larceny16100%
Theft from vehicle6100%
Robbery50%
Aggravated assault1— 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.

pettyshopliftinggrandsimplemorebfmvresidentialidentityinjuryaccessoriespartsfirearmlesstfmvintimatepartnerweapondeadlyfalsepretenseswarrantthreatsaggravatedappearbench
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
05421,08412am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
01,1782,356MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
07381,475JanFebMarAprMayJunJulAugSepOctNovDec
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.