DROP · MOTOR VEHICLE THEFTAPRIL 2026 BRIEFINGLOS ANGELES · 18.9K residents

Pico-Robertson Crime Rate Trends — Los Angeles

Pico-Robertson is a Westside neighborhood organized around the Pico Boulevard and Robertson Boulevard intersection. Predominantly Spanish Colonial Revival single-family homes and small apartment buildings; bordered by Beverly Hills to the north and Beverlywood to the south.

MOTOR VEHICLE THEFT · 24-MO COUNT04 2026 · 0
071412-mo avg: 2.3
PICO-ROBERTSONCITYWIDE TREND (RESCALED)-33% 12MO YOY
-100%MoM
-53%12mo YoY
28last 12mo
0this month
01 · TL;DR

Five categories moved in Pico-Robertson in April 2026 — three ran below trend in a single month and two registered as sustained structural shifts. The overall shape is a broad property-crime decline, with vehicle-related and larceny categories pulling consistently lower across both short and long timeframes.

Motor vehicle theft is the strongest signal: the current 12-month total of 28 sits against a baseline average of 87.13, a reduction of more than half confirmed by the 12-month trend (-52.5%, 28 vs. 59). Theft from vehicle and other larceny moved in the same direction — theft from vehicle is down 21.2% (67 vs. 85) and other larceny is down 37.0% (85 vs. 135). The two sustained-shift signals indicate these aren't single-month dips; the property-crime contraction in Pico-Robertson runs across multiple periods.

3 drops2 sustained shifts
02 · Notable signals

Notable signals 3

DROP · MOTOR VEHICLE THEFT

Motor Vehicle Theft

The past 12 months saw 28 incidents — about 68% below the 87 average from prior years.

DROP · THEFT FROM VEHICLE

Theft from Vehicle

The past 12 months saw 67 incidents — about 49% below the 131 average from prior years.

DROP · OTHER LARCENY

Other Larceny

The past 12 months saw 85 incidents — about 35% below the 132 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+75%
2024-052026-04
Aggravated Assault-26%
2024-052026-04
Sexual Assaultbelow threshold
2024-052026-04
Burglary+93%
2024-052026-04
Theft from Vehicle-21%
2024-052026-04
Other Larceny-37%
2024-052026-04
Motor Vehicle Theft-53%
2024-052026-04
Vandalism-9%
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

NO FORECAST

Below the volume threshold for a reliable forecast — too few incidents in recent months to project from.

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 5 next month — likely between 0 and 11.
+110% vs 12-month average (≈2.3)

Other Larceny

MAY 2026
Most likely 8 next month — likely between 2 and 15.
+19% vs 12-month average (≈7.1)

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 6 next month — likely between 0 and 12.
+5% vs 12-month average (≈5.6)

Vandalism

MAY 2026
Most likely 4 next month — likely between 0 and 9.
14% vs 12-month average (≈4.1)
06 · Context & comps

How Pico-Robertson 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?

Pico-Robertsondoesn't have enough spike history in any single category for a stable spillover rate yet (we want at least 5 events). The table below lists what we have.

Pico-Robertson historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Motor vehicle theft3— too few
Aggravated assault3— too few
Theft from vehicle2— too few

Each row shows Pico-Robertson's historical spike events for that category, and how often any of its 3 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 Pico-Robertson, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

grandpettysimplemoretfmvbfmvshopliftingresidentialinjuryidentityaccessoriesfirearmpartsaggravatedpossessintimatepartnerweapondeadlyfalselessthreatspretenseswarrantappear
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
012224312am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0289579MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0166331JanFebMarAprMayJunJulAugSepOctNovDec
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.