DROP · THEFT FROM VEHICLEAPRIL 2026 BRIEFINGLOS ANGELES · 14.4K residents

Mount Washington Crime Rate Trends — Los Angeles

Mount Washington is a Northeast LA hillside neighborhood between Highland Park and Cypress Park, organized around the steep ridge between the Los Angeles and Arroyo Seco rivers. Predominantly hillside single-family homes on winding streets; anchored by the historic Mount Washington Hotel (now the Self-Realization Fellowship) and the elementary school at the ridge top.

THEFT FROM VEHICLE · 24-MO COUNT04 2026 · 1
03612-mo avg: 1.3
MOUNT WASHINGTONCITYWIDE TREND (RESCALED)-30% 12MO YOY
0%MoM
-60%12mo YoY
15last 12mo
1this month
01 · TL;DR

Mount Washington logged one tracked signal in April 2026 — a below-trend month for theft from vehicle. The rest of the tracked categories fell within normal ranges, making this one of the quieter briefings for the neighborhood.

The broader 12-month picture is where the structural story sits. Theft from vehicle is down 59.5% against the prior year (15 incidents vs. 37), and that pattern extends across most property categories: burglary is down 75.0%, other larceny down 58.3%, motor vehicle theft down 39.6%, vandalism down 41.7%. Robbery has also contracted, from 12 to 6 incidents over the same stretch. Aggravated assault is the one category moving in the opposite direction — 19 incidents in the current 12 months vs. 16 in the prior year, an 18.8% rise — though volumes remain low.

1 drop
02 · Notable signals

Notable signals 1

DROP · THEFT FROM VEHICLE

Theft from Vehicle

The past 12 months saw 15 incidents — about 76% below the 64 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
Robberybelow threshold
2024-052026-04
Aggravated Assault+19%
2024-052026-04
Sexual Assaultbelow threshold
2024-052026-04
Burglarybelow threshold
2024-052026-04
Theft from Vehicle-60%
2024-052026-04
Other Larceny-58%
2024-052026-04
Motor Vehicle Theft-40%
2024-052026-04
Vandalism-42%
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 2 next month — likely between 0 and 6.
14% vs 12-month average (≈2.4)

Other Larceny

MAY 2026
Most likely 4 next month — likely between 1 and 6.

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 0 next month — likely between 0 and 4.

Vandalism

MAY 2026
Most likely 3 next month — likely between 0 and 6.
+8% vs 12-month average (≈2.3)
06 · Context & comps

How Mount Washington 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 Mount Washington has spiked other larceny historically (11 events on record), an adjacent neighborhood spiked the same category within 3 months 100% of the time. The strongest-travelling categories sit at the top of the table.

Mount Washington historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Other larceny11100%
Vandalism80%
Theft from vehicle6100%

Each row shows Mount Washington's historical spike events for that category, and how often any of its 4 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 Mount Washington, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

simplegrandinjuryappearbenchchargefailurewarrantpettyfirearmpossessweaponaggravatedintimatemorepartnerlessthreatsdeadlytfmvconsentcontrolledsubstanceadultdependent
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
05310612am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0108216MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
080161JanFebMarAprMayJunJulAugSepOctNovDec
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.