LOS 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.

OTHER LARCENY · 24-MO COUNT07 2026 · 0
03612-mo avg: 2.8
SUNLANDCITYWIDE TREND (RESCALED)+32% 12MO YOY
-100%MoM
+38%12mo YoY
33last 12mo
0this month
01 · TL;DR

July 2026 was a quiet month for Sunland. No tracked category registered a notable signal this period, and the month produced no spikes, drops, or rare events across any crime type.

The 12-month trend lines tell a more active story than the current month does. Motor vehicle theft is up 81.0% against the prior 12 months, 38 incidents vs. 21, and theft from vehicle is up 64.0%, 41 vs. 25. Other larceny also ran above the prior year, 33 vs. 24, a 37.5% increase. Moving the other direction, robbery is down 50.0% over the same window, 6 incidents vs. 12, burglary is down 33.3%, and aggravated assault is down 23.3%. The structural picture is a split: vehicle-related property crime has risen steadily over the past year while violent crime and residential burglary have pulled back.

No signals this month
02 · Notable signals

Notable signals 0

Nothing notable surfaced this month — every category sits within normal range against its baseline.

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
2024-082026-07
Robberybelow threshold
2024-082026-07
Aggravated Assault-23%
2024-082026-07
Sexual Assaultbelow threshold
2024-082026-07
Burglary-33%
2024-082026-07
Theft from Vehicle+64%
2024-082026-07
Other Larceny+38%
2024-082026-07
Motor Vehicle Theft+81%
2024-082026-07
Vandalism-2%
2024-082026-07
Arsonbelow threshold
2024-082026-07
05 · Forecast

What next month likely looks like

Forecasts trained through July 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

AUGUST 2026
Most likely 1 next month — likely between 0 and 6.
50% vs 12-month average (≈2.3)

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

AUGUST 2026
Most likely 2 next month — likely between 0 and 7.
37% vs 12-month average (≈3.2)

Other Larceny

AUGUST 2026
Most likely 1 next month — likely between 0 and 4.
56% vs 12-month average (≈2.8)

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

AUGUST 2026
Most likely 2 next month — likely between 0 and 8.
35% vs 12-month average (≈3.4)

Vandalism

AUGUST 2026
Most likely 4 next month — likely between 0 and 8.
+5% vs 12-month average (≈4.0)
06 · Context & comps

How Sunland 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.”

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.

grandsimplemorecourttfmvidentityresidentialorderfirearmpettyinjurycontemptintimatepossesspartneraggravateddeadlyweapondisobeydomesticpropprotectiveviolencealcoholbfmv
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
07615212am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0162323MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0107215JanFebMarAprMayJunJulAugSepOctNovDec
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.