DROP · ROBBERYAUGUST 2026 BRIEFINGLOS ANGELES · 55.7K residents

Westwood Crime Rate Trends — Los Angeles

Westwood is a Westside neighborhood centered on the UCLA campus and Westwood Village. Anchored by the Hammer Museum, the Fox and Bruin theaters in the village, and the Wilshire Boulevard high-rise corridor along the southern edge.

ROBBERY · 24-MO COUNT08 2026 · 0
03712-mo avg: 1.3
WESTWOODCITYWIDE TREND (RESCALED)-4% 12MO YOY
-100%MoM
-48%12mo YoY
16last 12mo
0this month
01 · TL;DR

Two signals moved in Westwood this August, one a single-month below-trend reading, one a structural shift running across the full trailing year. The overall picture is narrow but pointed: robbery ran below trend this month, and burglary has been on a multi-month downward structural shift, not just a quiet spell.

Robbery sits at 16 incidents over the current 12 months, down 48.4% against the prior 12-month total of 31. Burglary tells a similar story over a longer horizon, 105 incidents in the current 12 months versus 173 in the year before, a 39.3% decrease that qualifies as a sustained shift rather than a one-month move. Everything else tracked in Westwood, including theft from vehicle, other larceny, and vandalism, ran within range this month and carries no anomaly signal for August 2026.

1 drop1 sustained shift
02 · Notable signals

Notable signals 1

DROP · ROBBERY

Robbery

The past 12 months saw 16 incidents — about 41% below the 27 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
2024-092026-08
Robbery-48%
2024-092026-08
Aggravated Assault-36%
2024-092026-08
Sexual Assault-48%
2024-092026-08
Burglary-39%
2024-092026-08
Theft from Vehicle+18%
2024-092026-08
Other Larceny+23%
2024-092026-08
Motor Vehicle Theft-11%
2024-092026-08
Vandalism+23%
2024-092026-08
Arsonbelow threshold
2024-092026-08
05 · Forecast

What next month likely looks like

Forecasts trained through August 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

SEPTEMBER 2026
Most likely 12 next month — likely between 5 and 19.
+35% vs 12-month average (≈8.8)

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

SEPTEMBER 2026
Most likely 2 next month — likely between 0 and 7.
−46% vs 12-month average (≈3.9)

Other Larceny

SEPTEMBER 2026
Most likely 19 next month — likely between 3 and 35.
−25% vs 12-month average (≈25.7)

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

SEPTEMBER 2026
Most likely 5 next month — likely between 0 and 14.
−44% vs 12-month average (≈8.7)

Vandalism

SEPTEMBER 2026
Most likely 13 next month — likely between 7 and 19.
+3% vs 12-month average (≈12.5)
06 · Context & comps

How Westwood compares

Peer neighborhoods picked by closest 12-month robbery 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 robbery levels.”

07 · Patterns

Recurring local terms (last 12 months)

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

pettygrandsimplemoreresidentialshopliftingidentitybfmvtfmvlessinjuryaggravatedthreatstrespassweaponwithoutconsentdeadlyfalsefirearmobsceneannoyingcallintimatetelephone
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
021843612am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
05011,002MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0311623JanFebMarAprMayJunJulAugSepOctNovDec
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.