DROP · MOTOR VEHICLE THEFTMARCH 2026 BRIEFINGLOS ANGELES · 35.4K residents

Mar Vista Crime Rate Trends — Los Angeles

Mar Vista is a Westside neighborhood between Venice and Culver City, organized around the Venice and Centinela Boulevard corridors. Predominantly mid-century single-family homes and small apartment buildings; the Mar Vista Farmers Market on Grand View Boulevard is a weekly anchor.

MOTOR VEHICLE THEFT · 24-MO COUNT03 2026 · 3
091712-mo avg: 6.1
MAR VISTACITYWIDE TREND (RESCALED)-34% 12MO YOY
0%MoM
-35%12mo YoY
73last 12mo
3this month
01 · TL;DR

Eight categories moved in Mar Vista this March — five ran below trend in the current month, three registered as sustained structural shifts over the trailing 12 months. The overall shape is broadly downward across both property and violent crime, with no spikes or rare events in the mix.

Motor vehicle theft leads the signals: the trailing 12-month total sits at 73 incidents against a multi-year baseline of 130.35, and down 34.8% against the prior year's 112. Burglary is the sharpest 12-month mover, down 57.0% (34 incidents vs. 79 prior year), while robbery dropped 36.4% to just 7 incidents over the same window. Everything else in the tracked categories — theft from vehicle, other larceny, vandalism, aggravated assault, sexual assault — also shifted, with aggravated assault the one category running counter to the trend at 25.9% above the prior year.

5 drops3 sustained shifts
02 · Notable signals

Notable signals 5

DROP · MOTOR VEHICLE THEFTZ = 4.19

Motor Vehicle Theft

The past 12 months saw 73 incidents — about 44% below the 130 average from prior years.

DROP · ROBBERYZ = 3.42

Robbery

The past 12 months saw 7 incidents — about 67% below the 21 average from prior years.

DROP · BURGLARYZ = 3.34

Burglary

The past 12 months saw 34 incidents — about 74% below the 129 average from prior years.

DROP · OTHER LARCENYZ = 2.85

Other Larceny

The past 12 months saw 102 incidents — about 22% below the 131 average from prior years.

DROP · THEFT FROM VEHICLEZ = 2.79

Theft from Vehicle

The past 12 months saw 102 incidents — about 58% below the 241 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
2024-042026-03
Robberybelow threshold
2024-042026-03
Aggravated Assault+26%
2024-042026-03
Sexual Assaultbelow threshold
2024-042026-03
Burglary-57%
2024-042026-03
Theft from Vehicle-35%
2024-042026-03
Other Larceny-22%
2024-042026-03
Motor Vehicle Theft-35%
2024-042026-03
Vandalism-19%
2024-042026-03
Arsonbelow threshold
2024-042026-03
05 · Forecast

What next month likely looks like

Forecasts trained through March 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

APRIL 2026
Most likely 4 next month — likely between 0 and 13.
+55% vs 12-month average (≈2.8)

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

APRIL 2026
Most likely 8 next month — likely between 0 and 17.
+30% vs 12-month average (≈6.1)

Other Larceny

APRIL 2026
Most likely 10 next month — likely between 5 and 16.
+21% vs 12-month average (≈8.5)

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

APRIL 2026
Most likely 10 next month — likely between 0 and 22.
+21% vs 12-month average (≈8.5)

Vandalism

APRIL 2026
Most likely 8 next month — likely between 2 and 13.
+7% vs 12-month average (≈7.1)
06 · Context & comps

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

grandpettymoretfmvsimplefirearmbfmvdeadlyweaponresidentialaccessoriesidentitypartsinjurylessaggravatedthreatsalcoholdegreefalsesecondbuildingpersonalbrandishconsent
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
019639212am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0393787MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0243486JanFebMarAprMayJunJulAugSepOctNovDec
08 · Methodology

How we built this page

Data → Anomalies → Forecast → Page

Incident data is pulled from SFPD's open dataset, 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.