SUSTAINED RISE · MOTOR VEHICLE THEFTJULY 2026 BRIEFINGLOS ANGELES · 27.2K residents

Vermont Knolls Crime Rate Trends — Los Angeles

Vermont Knolls is a South LA residential neighborhood around Vermont Avenue and 80th Street, between Vermont-Slauson and Manchester Square. Predominantly single-family bungalows on a tight grid, anchored by John Muir Middle School and the Vermont Avenue commercial strip.

MOTOR VEHICLE THEFT · 24-MO COUNT07 2026 · 15
0173312-mo avg: 19.9
VERMONT KNOLLSCITYWIDE TREND (RESCALED)+30% 12MO YOY
-6%MoM
+71%12mo YoY
239last 12mo
15this month
01 · TL;DR

Vermont Knolls had a narrow month in terms of movement: one tracked signal, a sustained structural shift in motor vehicle theft. This is not a one-month anomaly but a multi-month structural change, the kind that tends to persist rather than correct quickly.

Motor vehicle theft is up 70.7% over the prior 12 months, 239 incidents against 140 the year before. Every other category stayed within its historical range. Burglary is down 33.3% on a 12-month basis, and aggravated assault is running 8.2% below the prior year, providing some counterweight, but the motor vehicle theft shift is the one structural move that warrants attention this briefing.

1 sustained shift
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+83%
2024-082026-07
Robbery+3%
2024-082026-07
Aggravated Assault-8%
2024-082026-07
Sexual Assault-9%
2024-082026-07
Burglary-33%
2024-082026-07
Theft from Vehicle+24%
2024-082026-07
Other Larceny+20%
2024-082026-07
Motor Vehicle Theft+71%
2024-082026-07
Vandalism-12%
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 3 next month — likely between 0 and 8.
21% vs 12-month average (≈4.3)

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 6 and 32.
3% vs 12-month average (≈19.9)

Other Larceny

AUGUST 2026
Most likely 6 next month — likely between 1 and 13.
21% vs 12-month average (≈8.2)

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 4 next month — likely between 0 and 13.
46% vs 12-month average (≈8.2)

Vandalism

AUGUST 2026
Most likely 11 next month — likely between 2 and 19.
23% vs 12-month average (≈14.7)
06 · Context & comps

How Vermont Knolls 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 Knolls, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

simplegrandfirearminjuryweapondeadlymoreaggravatedintimatepartnerprostitutionthreatspettycourtsolicitengageorderpossessresidentiallessalcoholidentityofficertfmvcomm
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
025550912am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
06151,230MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0399799JanFebMarAprMayJunJulAugSepOctNovDec
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.