DROP · MOTOR VEHICLE THEFTAPRIL 2026 BRIEFINGLOS ANGELES · 77.2K residents

Pacoima Crime Rate Trends — Los Angeles

Pacoima is a northeastern San Fernando Valley neighborhood organized around Van Nuys Boulevard and the Hansen Dam recreation area. Anchored by Whiteman Airport, Hansen Dam Park, and the Metrolink Sun Valley/Pacoima area corridor.

MOTOR VEHICLE THEFT · 24-MO COUNT04 2026 · 16
0214312-mo avg: 20.2
PACOIMACITYWIDE TREND (RESCALED)-33% 12MO YOY
+7%MoM
-33%12mo YoY
242last 12mo
16this month
01 · TL;DR

Five categories moved in Pacoima in April 2026 — two one-month below-trend signals and three sustained structural shifts. The overall shape is broadly downward across both violent and property crime, with no spikes and no rare-event signals this period.

Motor vehicle theft is the sharpest single signal: 242 incidents in the current 12-month window against a baseline average of 360.13, a drop of 32.6% year-over-year. Burglary also ran below trend this month, down 31.5% against the prior 12 months (74 vs. 108). Sexual assault's sustained shift — down 49.0% over 12 months, 25 incidents against 49 in the prior year — reflects a multi-year structural move, not just a quiet April.

2 drops3 sustained shifts
02 · Notable signals

Notable signals 2

DROP · MOTOR VEHICLE THEFT

Motor Vehicle Theft

The past 12 months saw 242 incidents — about 33% below the 360 average from prior years.

DROP · BURGLARY

Burglary

The past 12 months saw 74 incidents — about 37% below the 118 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-25%
2024-052026-04
Aggravated Assault-17%
2024-052026-04
Sexual Assault-49%
2024-052026-04
Burglary-32%
2024-052026-04
Theft from Vehicle-30%
2024-052026-04
Other Larceny-25%
2024-052026-04
Motor Vehicle Theft-33%
2024-052026-04
Vandalism-19%
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 3 next month — likely between 0 and 10.
53% vs 12-month average (≈6.2)

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 27 next month — likely between 14 and 40.
+32% vs 12-month average (≈20.2)

Other Larceny

MAY 2026
Most likely 26 next month — likely between 16 and 36.
+57% vs 12-month average (≈16.3)

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 16 next month — likely between 5 and 28.
4% vs 12-month average (≈17.0)

Vandalism

MAY 2026
Most likely 25 next month — likely between 14 and 35.
+13% vs 12-month average (≈22.2)
06 · Context & comps

How Pacoima compares

Peer neighborhoods picked by closest 12-month motor vehicle theft 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 motor vehicle theft levels.”

SPATIAL SPILLOVER · NEW

Do crime spikes here spill over to adjacent neighborhoods?

When Pacoima has spiked vandalism historically (11 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.

Pacoima historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Vandalism11100%
Other larceny10100%
Motor vehicle theft5100%
Sexual assault4— too few
Robbery2— too few

Each row shows Pacoima's historical spike events for that category, and how often any of its 7 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 Pacoima, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

simplegrandpettyfirearmmoreinjuryweapontfmvdeadlypossessintimatepartneraggravatedsubstancecontrolledaccessoriespartsresidentialalcohollessthreatscourtbfmvidentityshoplifting
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
037574912am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
08891,778MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
05201,040JanFebMarAprMayJunJulAugSepOctNovDec
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.