SUSTAINED RISE · MOTOR VEHICLE THEFTJULY 2026 BRIEFINGLOS ANGELES · 34.3K residents

Vermont-Slauson Crime Rate Trends — Los Angeles

Vermont-Slauson is a South LA neighborhood organized around the Vermont and Slauson Avenue intersection. Predominantly Craftsman bungalows and small apartment buildings on a tight grid.

MOTOR VEHICLE THEFT · 24-MO COUNT07 2026 · 27
0214312-mo avg: 25.2
VERMONT-SLAUSONCITYWIDE TREND (RESCALED)+30% 12MO YOY
+35%MoM
+97%12mo YoY
302last 12mo
27this month
01 · TL;DR

Four categories in Vermont-Slauson registered sustained structural shifts this July 2026 briefing, all pointing upward. This is not a single noisy month: motor vehicle theft, robbery, theft from vehicle, and other larceny are all running materially higher across the trailing 12 months than the 12 before. The shape of the month is a broad, multi-category increase in property and violent theft.

Motor vehicle theft leads the structural moves, up 97.4% year-over-year, 302 incidents in the current 12 months against 153 in the prior period. Other larceny is up 82.7% (296 vs. 162), theft from vehicle up 45.9% (162 vs. 111), and robbery up 34.4% (246 vs. 183). Burglary ran counter to that trend, down 17.1% to 63 incidents, and everything else was within a narrower range.

4 sustained shifts
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.

Homicide+10%
2024-082026-07
Robbery+34%
2024-082026-07
Aggravated Assault+9%
2024-082026-07
Sexual Assault-6%
2024-082026-07
Burglary-17%
2024-082026-07
Theft from Vehicle+46%
2024-082026-07
Other Larceny+83%
2024-082026-07
Motor Vehicle Theft+97%
2024-082026-07
Vandalism+7%
2024-082026-07
Arson+40%
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 3 next month — likely between 0 and 8.
47% vs 12-month average (≈5.3)

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 19 next month — likely between 1 and 36.
26% vs 12-month average (≈25.2)

Other Larceny

AUGUST 2026
Most likely 17 next month — likely between 3 and 30.
31% vs 12-month average (≈24.7)

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 8 next month — likely between 0 and 20.
38% vs 12-month average (≈13.5)

Vandalism

AUGUST 2026
Most likely 19 next month — likely between 9 and 29.
4% vs 12-month average (≈20.2)
06 · Context & comps

How Vermont-Slauson 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.”

07 · Patterns

Recurring local terms (last 12 months)

Top terms in incident descriptions for Vermont-Slauson, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

simplegrandpettyfirearminjuryweaponmoreshopliftingaggravateddeadlyintimatepartnerprostitutionthreatslesscourtpossesstfmvresidentialorderengagesolicitalcoholbfmvaccessories
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
036272412am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
08541,707MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
05391,078JanFebMarAprMayJunJulAugSepOctNovDec
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.