DROP · THEFT FROM VEHICLEAPRIL 2026 BRIEFINGSEATTLE · 48.5K residents

Northwest Crime Rate Trends — Seattle

Northwest Seattle covers Crown Hill, Greenwood, Bitter Lake, and Broadview north of the Ship Canal and west of Aurora Avenue. Predominantly single-family residential along Greenwood Avenue and 15th Avenue NW; anchored by Carkeek Park on Puget Sound.

THEFT FROM VEHICLE · 24-MO COUNT04 2026 · 26
0397812-mo avg: 35.5
NORTHWESTCITYWIDE TREND (RESCALED)-13% 12MO YOY
+4%MoM
-19%12mo YoY
426last 12mo
26this month
01 · TL;DR

Four categories moved in Northwest's April 2026 briefing — two one-month below-trend signals and two sustained structural shifts. The overall shape is broadly downward across property crime, with no spikes and no rare-event signals in the mix.

Theft from vehicle and vandalism both ran below trend in the single-month window, while motor vehicle theft has shifted structurally lower: down 28.0% against the prior 12 months, 278 incidents vs. 386. Vandalism follows a similar arc, off 29.7% year-over-year (220 vs. 313). Theft from vehicle's 12-month total of 426 sits well below the multi-year baseline of 652.69. Arson is the one counter-current — 8 incidents against a prior-year 5, a 60.0% year-over-year move — though at those absolute counts it represents a small base.

2 drops2 sustained shifts
02 · Notable signals

Notable signals 2

DROP · THEFT FROM VEHICLE

Theft from Vehicle

The past 12 months saw 426 incidents — about 35% below the 653 average from prior years.

DROP · VANDALISM

Vandalism

The past 12 months saw 220 incidents — about 23% below the 284 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
Robbery0%
2024-052026-04
Aggravated Assault-20%
2024-052026-04
Sexual Assaultbelow threshold
2024-052026-04
Burglary-12%
2024-052026-04
Theft from Vehicle-19%
2024-052026-04
Other Larceny+3%
2024-052026-04
Motor Vehicle Theft-28%
2024-052026-04
Vandalism-30%
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 24 next month — likely between 9 and 39.
+5% vs 12-month average (≈23.3)

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 28 next month — likely between 13 and 42.
+20% vs 12-month average (≈23.2)

Other Larceny

MAY 2026
Most likely 32 next month — likely between 16 and 48.
17% vs 12-month average (≈38.3)

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 40 next month — likely between 23 and 59.
+13% vs 12-month average (≈35.5)

Vandalism

MAY 2026
Most likely 27 next month — likely between 17 and 38.
+49% vs 12-month average (≈18.3)
06 · Context & comps

How Northwest 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 Northwest has spiked motor vehicle theft historically (8 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.

Northwest historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Motor vehicle theft8100%
Vandalism1— too few

Each row shows Northwest's historical spike events for that category, and how often any of its 3 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 Northwest, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

breakingenteringnibrsreportabledestructionaccessoriespartssimpleaggravatedshopliftingbuildingfrauddrivinginfluenceweaponautomatedcardcreditmachinetellerdrugidentityintimidationnarcoticconfidence
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
01,1712,34212am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
01,5563,112MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
09861,972JanFebMarAprMayJunJulAugSepOctNovDec
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.