DROP · THEFT FROM VEHICLEAPRIL 2026 BRIEFINGLOS ANGELES · 17.8K residents

Sunland Crime Rate Trends — Los Angeles

Sunland is a far northeastern San Fernando Valley neighborhood adjacent to Tujunga, organized around Foothill Boulevard. Predominantly small single-family homes at the foot of the San Gabriel Mountains.

THEFT FROM VEHICLE · 24-MO COUNT04 2026 · 0
05912-mo avg: 1.8
SUNLANDCITYWIDE TREND (RESCALED)-30% 12MO YOY
MoM
-60%12mo YoY
21last 12mo
0this month
01 · TL;DR

Two signals surfaced in Sunland this April — a one-month below-trend reading and a sustained structural shift, both in the same category. That concentration tells the story: theft from vehicle is driving the entire month's movement, and the directional pressure is firmly downward.

Theft from vehicle is down 59.6% against the prior 12 months — 21 incidents in the current period against 52 in the year before, well below a baseline mean of 87.53. Every other tracked category also ran lower year-over-year: aggravated assault off 36.4% (21 vs 33), vandalism off 34.8% (43 vs 66), and other larceny off 28.6% (30 vs 42). All seven tracked categories are in negative territory, and the two formal signals this month both point the same direction.

1 drop1 sustained shift
02 · Notable signals

Notable signals 1

DROP · THEFT FROM VEHICLE

Theft from Vehicle

The past 12 months saw 21 incidents — about 76% below the 88 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
Robberybelow threshold
2024-052026-04
Aggravated Assault-36%
2024-052026-04
Sexual Assaultbelow threshold
2024-052026-04
Burglary-16%
2024-052026-04
Theft from Vehicle-60%
2024-052026-04
Other Larceny-29%
2024-052026-04
Motor Vehicle Theft-5%
2024-052026-04
Vandalism-35%
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 1 next month — likely between 0 and 6.
68% vs 12-month average (≈2.7)

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 3 next month — likely between 0 and 7.
+9% vs 12-month average (≈2.9)

Other Larceny

MAY 2026
Most likely 2 next month — likely between 0 and 5.
28% vs 12-month average (≈2.5)

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 8.

Vandalism

MAY 2026
Most likely 3 next month — likely between 0 and 8.
5% vs 12-month average (≈3.6)
06 · Context & comps

How Sunland 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 Sunland has spiked vandalism historically (6 events on record), an adjacent neighborhood spiked the same category within 3 months 0% of the time. The strongest-travelling categories sit at the top of the table.

Sunland historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Vandalism60%
Burglary4— too few
Aggravated assault4— too few

Each row shows Sunland's historical spike events for that category, and how often any of its 3 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 Sunland, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

simplegrandmorepettyresidentialidentityfirearmintimatepartnerinjurydeadlyweapontfmvbfmvconsentcourtwithoutaggravatedfalselesspretensesalcoholofficerorderowner
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
07515112am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0165330MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
098197JanFebMarAprMayJunJulAugSepOctNovDec
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.