DROP · THEFT FROM VEHICLEAPRIL 2026 BRIEFINGLOS ANGELES · 39.4K residents

Sawtelle Crime Rate Trends — Los Angeles

Sawtelle is a Westside neighborhood organized around Sawtelle Boulevard south of Wilshire. A dense restaurant-and-retail strip in a predominantly small-apartment-and-single-family neighborhood; bordered by the VA medical campus to the north.

THEFT FROM VEHICLE · 24-MO COUNT04 2026 · 19
0183612-mo avg: 18.7
SAWTELLECITYWIDE TREND (RESCALED)-30% 12MO YOY
-10%MoM
-21%12mo YoY
224last 12mo
19this month
01 · TL;DR

Three signals moved in Sawtelle this April — one single-month below-trend reading and two structural shifts that have been building across the trailing 12 months. The structural layer is the more consequential story: both other larceny and burglary have moved far enough from prior-year levels to register as multi-month patterns, not just monthly noise.

Other larceny is down 42.6% year-over-year, 433 incidents in the current 12 months against 754 in the prior period — the largest absolute volume change in the neighborhood. Burglary moved in the opposite direction, up 77.1% on a 12-month basis (85 vs 48), and is the sharpest percentage increase across all tracked categories. Theft from vehicle is also running below its multi-year baseline — 224 incidents against a baseline mean of 368 — and added a single-month below-trend signal this period. Everything else, including robbery, aggravated assault, and vandalism, stayed within normal range.

1 drop2 sustained shifts
02 · Notable signals

Notable signals 1

DROP · THEFT FROM VEHICLE

Theft from Vehicle

The past 12 months saw 224 incidents — about 39% below the 368 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-9%
2024-052026-04
Aggravated Assault+6%
2024-052026-04
Sexual Assault+14%
2024-052026-04
Burglary+77%
2024-052026-04
Theft from Vehicle-21%
2024-052026-04
Other Larceny-43%
2024-052026-04
Motor Vehicle Theft-9%
2024-052026-04
Vandalism+1%
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 0 next month — likely between 0 and 9.
100% vs 12-month average (≈7.1)

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 16 next month — likely between 8 and 24.
+17% vs 12-month average (≈13.9)

Other Larceny

MAY 2026
Most likely 26 next month — likely between 0 and 52.
28% vs 12-month average (≈36.1)

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 12 next month — likely between 3 and 22.
34% vs 12-month average (≈18.7)

Vandalism

MAY 2026
Most likely 14 next month — likely between 4 and 23.
15% vs 12-month average (≈16.1)
06 · Context & comps

How Sawtelle compares

Peer neighborhoods picked by closest 12-month theft from vehicle 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 theft from vehicle levels.”

SPATIAL SPILLOVER · NEW

Do crime spikes here spill over to adjacent neighborhoods?

When Sawtelle has spiked other larceny historically (18 events on record), an adjacent neighborhood spiked the same category within 3 months 66.7% of the time. The strongest-travelling categories sit at the top of the table.

Sawtelle historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Other larceny1866.7%

Each row shows Sawtelle'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 Sawtelle, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

pettygrandsimpleshopliftingmorebfmvtfmvresidentialpossessinjuryfirearmweaponlessidentitysubstancecontrolleddeadlyaggravatedunlawfulaccessoriesparaphernaliapartswarrantthreatsappear
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
042284412am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
09161,832MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
05541,108JanFebMarAprMayJunJulAugSepOctNovDec
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.