DROP · THEFT FROM VEHICLEAPRIL 2026 BRIEFINGLOS ANGELES · 28.8K residents

Arleta Crime Rate Trends — Los Angeles

Arleta is a northeast San Fernando Valley neighborhood between Pacoima and Panorama City, organized around Branford Street and Woodman Avenue. Predominantly mid-century single-family homes on a tight grid, anchored by Branford Park and the Hansen Dam Channel.

THEFT FROM VEHICLE · 24-MO COUNT04 2026 · 2
0132612-mo avg: 2.9
ARLETACITYWIDE TREND (RESCALED)-30% 12MO YOY
MoM
-68%12mo YoY
35last 12mo
2this month
01 · TL;DR

Six categories moved in Arleta this April — three one-month below-trend signals and three sustained structural shifts, all pointing in the same direction. The pattern is a broad, multi-year contraction across both violent and property crime, not a single quiet category dragging the average down.

Theft from vehicle leads the signals: the current 12-month total is 35, against a multi-year baseline mean of 137.02 and a prior-year count of 109 — down 67.9% year-over-year. Motor vehicle theft is similarly compressed, 33 incidents against 141 the prior year, a 76.6% decline. Vandalism rounds out the top three below-trend signals, down 48.8% to 41 incidents from 80. Everything else tracked — robbery, aggravated assault, burglary, other larceny, sexual assault — is also running below prior-year levels, with none registering a fresh spike.

3 drops3 sustained shifts
02 · Notable signals

Notable signals 3

DROP · THEFT FROM VEHICLE

Theft from Vehicle

The past 12 months saw 35 incidents — about 74% below the 137 average from prior years.

DROP · MOTOR VEHICLE THEFT

Motor Vehicle Theft

The past 12 months saw 33 incidents — about 76% below the 139 average from prior years.

DROP · VANDALISM

Vandalism

The past 12 months saw 41 incidents — about 39% below the 67 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-58%
2024-052026-04
Aggravated Assault-20%
2024-052026-04
Sexual Assaultbelow threshold
2024-052026-04
Burglary-28%
2024-052026-04
Theft from Vehicle-68%
2024-052026-04
Other Larceny-30%
2024-052026-04
Motor Vehicle Theft-77%
2024-052026-04
Vandalism-49%
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 4 next month — likely between 0 and 7.

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 8 next month — likely between 0 and 17.
+179% vs 12-month average (≈2.8)

Other Larceny

MAY 2026
Most likely 2 next month — likely between 0 and 6.
27% vs 12-month average (≈3.2)

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

MAY 2026
Most likely 3 next month — likely between 0 and 12.
+4% vs 12-month average (≈2.9)

Vandalism

MAY 2026
Most likely 3 next month — likely between 0 and 8.
1% vs 12-month average (≈3.4)
06 · Context & comps

How Arleta 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 Arleta has spiked motor vehicle theft historically (15 events on record), an adjacent neighborhood spiked the same category within 3 months 73.3% of the time. The strongest-travelling categories sit at the top of the table.

Arleta historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Motor vehicle theft1573.3%
Theft from vehicle60%

Each row shows Arleta's historical spike events for that category, and how often any of its 4 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 Arleta, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

simplegrandinjuryidentityfirearmalcoholmorepettyweaponaggravateddeadlyintimatepartnerresidentialtfmvpossessthreatscontrolleddrugsubstancebodilycourtfalsechildcausing
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
011422812am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0252504MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0157315JanFebMarAprMayJunJulAugSepOctNovDec
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.