DROP · OTHER LARCENYAPRIL 2026 BRIEFINGLOS ANGELES · 43.2K residents

Palms Crime Rate Trends — Los Angeles

Palms is a Westside neighborhood between Culver City and Mar Vista, organized around National Boulevard and Motor Avenue. Predominantly mid-century apartment buildings and dingbat-style four-plexes; anchored by the Metro E Line's Palms station.

OTHER LARCENY · 24-MO COUNT04 2026 · 10
0214112-mo avg: 12.5
PALMSCITYWIDE TREND (RESCALED)-29% 12MO YOY
-9%MoM
-39%12mo YoY
150last 12mo
10this month
01 · TL;DR

Ten categories moved in Palms this April — five one-month below-trend signals and five sustained structural shifts, all running in the same direction. The month's shape is broadly and consistently downward across property crime, with no spikes or rare-event signals anywhere in the data.

Other larceny, vandalism, and theft from vehicle each ran below trend, and the 12-month totals confirm the depth of the shift: other larceny sits at 150 incidents against a prior-year count of 244 (down 38.5%), theft from vehicle at 130 against 255 (down 49.0%), and burglary at 20 against 85 (down 76.5%). Every other tracked category outside of robbery was within the same downward pattern; robbery is the one exception, edging 6.5% above its prior-year total at 33 incidents.

5 drops5 sustained shifts
02 · Notable signals

Notable signals 5

DROP · OTHER LARCENY

Other Larceny

The past 12 months saw 150 incidents — about 41% below the 255 average from prior years.

DROP · VANDALISM

Vandalism

The past 12 months saw 73 incidents — about 54% below the 158 average from prior years.

DROP · THEFT FROM VEHICLE

Theft from Vehicle

The past 12 months saw 130 incidents — about 64% below the 362 average from prior years.

DROP · BURGLARY

Burglary

The past 12 months saw 20 incidents — about 86% below the 139 average from prior years.

DROP · MOTOR VEHICLE THEFT

Motor Vehicle Theft

The past 12 months saw 88 incidents — about 65% below the 249 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+7%
2024-052026-04
Aggravated Assault-10%
2024-052026-04
Sexual Assaultbelow threshold
2024-052026-04
Burglary-77%
2024-052026-04
Theft from Vehicle-49%
2024-052026-04
Other Larceny-39%
2024-052026-04
Motor Vehicle Theft-43%
2024-052026-04
Vandalism-49%
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 2 next month — likely between 0 and 11.

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 4 next month — likely between 0 and 13.
52% vs 12-month average (≈7.3)

Other Larceny

MAY 2026
Most likely 14 next month — likely between 4 and 25.
+14% vs 12-month average (≈12.5)

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 9 next month — likely between 0 and 23.
17% vs 12-month average (≈10.8)

Vandalism

MAY 2026
Most likely 13 next month — likely between 4 and 21.
+108% vs 12-month average (≈6.1)
06 · Context & comps

How Palms compares

Peer neighborhoods picked by closest 12-month other larceny 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 other larceny levels.”

SPATIAL SPILLOVER · NEW

Do crime spikes here spill over to adjacent neighborhoods?

When Palms has spiked motor vehicle theft historically (5 events on record), an adjacent neighborhood spiked the same category within 3 months 60% of the time. The strongest-travelling categories sit at the top of the table.

Palms historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Motor vehicle theft560%
Burglary3— too few
Aggravated assault3— too few
Robbery1— too few

Each row shows Palms's historical spike events for that category, and how often any of its 6 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 Palms, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

grandpettysimplebfmvtfmvmorefirearminjurylessweapondeadlyidentityaccessoriespartsresidentialaggravateddegreesecondthreatsalcoholpossessshopliftingintimatepartnerappear
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
027054012am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
05901,179MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0380759JanFebMarAprMayJunJulAugSepOctNovDec
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.