DROP · THEFT FROM VEHICLEMARCH 2026 BRIEFINGLOS ANGELES · 49.6K residents

Encino Crime Rate Trends — Los Angeles

Encino is a southern San Fernando Valley neighborhood between the Santa Monica Mountains and the 101 freeway, organized around Ventura Boulevard. Anchored by the Encino Reservoir, the Sepulveda Basin recreation area, and Los Encinos State Historic Park.

THEFT FROM VEHICLE · 24-MO COUNT03 2026 · 14
0224512-mo avg: 15.4
ENCINOCITYWIDE TREND (RESCALED)-30% 12MO YOY
-22%MoM
-38%12mo YoY
185last 12mo
14this month
01 · TL;DR

Six categories moved in Encino this March — four as sustained structural shifts and two as single-month below-trend signals. The dominant story is a broad property crime retreat: burglary, theft from vehicle, vandalism, and motor vehicle theft are all running well below their prior-year levels, a pattern that holds across both the recent one-month signals and the multi-year sustained shifts.

Theft from vehicle is the sharpest mover: 185 incidents over the current 12 months against a baseline mean of 359.94 — a sustained reduction that now accounts for a 37.5% year-over-year decline. Motor vehicle theft is also running below trend, down 14.2% year-over-year to 97 incidents. Burglary shows the largest structural gap of any category, down 40.8% against the prior 12 months (151 vs. 255). Other larceny is the one counter-move — up 27.0% year-over-year to 414 incidents — and is the category to watch against this otherwise broad downward trend in property crime.

2 drops4 sustained shifts
02 · Notable signals

Notable signals 2

DROP · THEFT FROM VEHICLEZ = 6.35

Theft from Vehicle

The past 12 months saw 185 incidents — about 49% below the 360 average from prior years.

DROP · MOTOR VEHICLE THEFTZ = 5.02

Motor Vehicle Theft

The past 12 months saw 97 incidents — about 37% below the 153 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
Robbery+9%
2024-042026-03
Aggravated Assault-12%
2024-042026-03
Sexual Assault+18%
2024-042026-03
Burglary-41%
2024-042026-03
Theft from Vehicle-38%
2024-042026-03
Other Larceny+27%
2024-042026-03
Motor Vehicle Theft-14%
2024-042026-03
Vandalism-33%
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 13 next month — likely between 0 and 26.
+4% vs 12-month average (≈12.6)

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 10 next month — likely between 3 and 16.
+18% vs 12-month average (≈8.1)

Other Larceny

APRIL 2026
Most likely 28 next month — likely between 13 and 43.
18% vs 12-month average (≈34.5)

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 14 next month — likely between 0 and 28.
9% vs 12-month average (≈15.4)

Vandalism

APRIL 2026
Most likely 27 next month — likely between 13 and 40.
+37% vs 12-month average (≈19.5)
06 · Context & comps

How Encino 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.”

07 · Patterns

Recurring local terms (last 12 months)

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

pettyshopliftinggrandmoresimpleresidentialbfmvtfmvidentitythreatsinjuryfirearmintimatepartnerlessaggravatedalcoholaccessoriesfalsepartsdeadlyweaponpretenseswarrantappear
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
034268312am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
07951,590MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0421842JanFebMarAprMayJunJulAugSepOctNovDec
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.