DROP · THEFT FROM VEHICLEAPRIL 2026 BRIEFINGLOS ANGELES · 56.6K residents

North Hills Crime Rate Trends — Los Angeles

North Hills is a north San Fernando Valley neighborhood between Granada Hills and Van Nuys, organized around Devonshire Street and Sepulveda Boulevard. Predominantly mid-century single-family homes; anchored by the Cal State Northridge campus to the west.

THEFT FROM VEHICLE · 24-MO COUNT04 2026 · 3
0254912-mo avg: 12.3
NORTH HILLSCITYWIDE TREND (RESCALED)-30% 12MO YOY
-79%MoM
-45%12mo YoY
148last 12mo
3this month
01 · TL;DR

Five signals across North Hills in April 2026 — two one-month below-trend moves and three sustained structural shifts. The dominant shape is a broad, multi-year retreat in vehicle-related property crime, not a single-month anomaly.

Theft from vehicle is the strongest signal: 148 incidents over the current 12 months against a baseline mean of 336.06, and down 44.8% from the prior 12-month total of 268. Motor vehicle theft tells a similar story, off 57.3% year-over-year (105 vs. 246). Both categories appear in the top signals — theft from vehicle registers as both a one-month drop and a sustained structural shift, reinforcing that this is a longer-trend move, not noise. Everything else — robbery, aggravated assault, burglary, vandalism — also ran below their prior-year totals, though those categories did not cross the signal threshold this month.

2 drops3 sustained shifts
02 · Notable signals

Notable signals 2

DROP · THEFT FROM VEHICLE

Theft from Vehicle

The past 12 months saw 148 incidents — about 56% below the 336 average from prior years.

DROP · MOTOR VEHICLE THEFT

Motor Vehicle Theft

The past 12 months saw 105 incidents — about 69% below the 335 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-13%
2024-052026-04
Aggravated Assault-17%
2024-052026-04
Sexual Assault-23%
2024-052026-04
Burglary-19%
2024-052026-04
Theft from Vehicle-45%
2024-052026-04
Other Larceny+1%
2024-052026-04
Motor Vehicle Theft-57%
2024-052026-04
Vandalism-27%
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 11 next month — likely between 2 and 20.
+50% vs 12-month average (≈7.1)

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 17 next month — likely between 1 and 33.
+94% vs 12-month average (≈8.8)

Other Larceny

MAY 2026
Most likely 26 next month — likely between 13 and 39.
+4% vs 12-month average (≈24.9)

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 19 next month — likely between 4 and 35.
+58% vs 12-month average (≈12.3)

Vandalism

MAY 2026
Most likely 13 next month — likely between 6 and 20.
+11% vs 12-month average (≈11.9)
06 · Context & comps

How North Hills 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 North Hills has spiked other larceny historically (22 events on record), an adjacent neighborhood spiked the same category within 3 months 50% of the time. The strongest-travelling categories sit at the top of the table.

North Hills historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Other larceny2250%
Aggravated assault1— too few

Each row shows North Hills's historical spike events for that category, and how often any of its 5 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 North Hills, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

simplepettygrandshopliftingmorepossessinjuryfirearmcontrolledsubstancetfmvintimatepartneridentityresidentialweaponalcoholdeadlyaggravatedwarrantappearbenchchargefailurebfmv
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
031362612am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
07331,465MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0438877JanFebMarAprMayJunJulAugSepOctNovDec
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.