DROP · THEFT FROM VEHICLEAPRIL 2026 BRIEFINGSEATTLE · 58.0K residents

West Seattle Crime Rate Trends — Seattle

West Seattle is the peninsula across the Duwamish River from downtown, including Alki, Admiral, the Junction, Fairmount, Gatewood, and Fauntleroy. Anchored by the West Seattle Junction commercial strip at California and Alaska, the Alki Beach waterfront, and the West Seattle Bridge that links it to the rest of the city.

THEFT FROM VEHICLE · 24-MO COUNT04 2026 · 43
05110112-mo avg: 36.5
WEST SEATTLECITYWIDE TREND (RESCALED)-13% 12MO YOY
-2%MoM
-32%12mo YoY
438last 12mo
43this month
01 · TL;DR

Four signals surfaced in West Seattle this April — two one-month below-trend readings and two sustained structural shifts, with one zero-event category rounding out the mix. The dominant shape is downward, particularly across vehicle-related property crime, where both single-month and multi-year patterns point in the same direction.

Theft from vehicle is the clearest mover: the trailing 12-month total sits at 438 incidents, down 32.2% against the prior year's 646, and well below the multi-year baseline of 711.55. Burglary also ran below trend this month, though at a smaller scale — 276 incidents over the current 12 months versus 268 in the prior period, a 3.0% uptick that puts it slightly above last year while still registering a single-month drop. Robbery and motor vehicle theft show the steepest year-over-year declines in the bucket summary — down 27.8% and 37.8%, respectively — but neither crossed the signal threshold this month, meaning everything outside the four tracked signals held within normal range.

2 drops2 sustained shifts1 zero-event
02 · Notable signals

Notable signals 2

DROP · THEFT FROM VEHICLE

Theft from Vehicle

The past 12 months saw 438 incidents — about 38% below the 712 average from prior years.

DROP · BURGLARY

Burglary

The past 12 months saw 276 incidents — about 21% below the 347 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-28%
2024-052026-04
Aggravated Assault-13%
2024-052026-04
Sexual Assaultbelow threshold
2024-052026-04
Burglary+3%
2024-052026-04
Theft from Vehicle-32%
2024-052026-04
Other Larceny-8%
2024-052026-04
Motor Vehicle Theft-38%
2024-052026-04
Vandalism-11%
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 22 next month — likely between 7 and 36.
6% vs 12-month average (≈23.0)

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 39 next month — likely between 13 and 65.
+84% vs 12-month average (≈21.4)

Other Larceny

MAY 2026
Most likely 32 next month — likely between 15 and 47.
+1% vs 12-month average (≈31.4)

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 43 next month — likely between 16 and 67.
+18% vs 12-month average (≈36.5)

Vandalism

MAY 2026
Most likely 26 next month — likely between 15 and 36.
+36% vs 12-month average (≈19.0)
06 · Context & comps

How West Seattle 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 West Seattle has spiked motor vehicle theft historically (6 events on record), an adjacent neighborhood spiked the same category within 3 months 33.3% of the time. The strongest-travelling categories sit at the top of the table.

West Seattle historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Robbery80%
Motor vehicle theft633.3%
Vandalism3— too few

Each row shows West Seattle's historical spike events for that category, and how often any of its 2 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 Seattle); 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 West Seattle, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

breakingenteringdestructionnibrsreportableaccessoriespartssimpleshopliftingaggravateddrivinginfluencebuildingfrauddrugautomatedcardcreditmachinetelleridentitynarcoticconfidencefalsegame
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
01,0382,07712am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
01,5003,001MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
09411,881JanFebMarAprMayJunJulAugSepOctNovDec
08 · Methodology

How we built this page

Data → Anomalies → Forecast → Page

Incident data is pulled from SPD's Crime Data feed on Seattle Open Data, 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.