SUSTAINED DROP · MOTOR VEHICLE THEFTJUNE 2026 BRIEFINGSEATTLE · 46.0K residents

Northeast Crime Rate Trends — Seattle

Northeast Seattle covers the area east of I-5 and north of the Ship Canal, including Ravenna, Bryant, View Ridge, Wedgwood, Sand Point, and Laurelhurst. Predominantly single-family residential anchored by University Village shopping center, Magnuson Park on Lake Washington, and the Burke-Gilman Trail.

MOTOR VEHICLE THEFT · 24-MO COUNT06 2026 · 15
0326312-mo avg: 22.8
NORTHEASTCITYWIDE TREND (RESCALED)-18% 12MO YOY
-35%MoM
-27%12mo YoY
273last 12mo
15this month
01 · TL;DR

Northeast Seattle had a structurally quiet June 2026 — two sustained shifts and a zero-event signal, all pointing downward. No spikes registered this month. The pattern is not a single-month dip but a multi-year compression in robbery and motor vehicle theft, both of which have been running below their prior-year baselines for long enough to register as structural changes rather than noise.

Robbery is down 63.6% against the prior 12 months, 28 incidents vs. 77 the year before — the steeper of the two sustained shifts. Motor vehicle theft is down 26.6%, 273 vs. 372 over the same window. Every other tracked category also ran below its prior-year level, with other larceny off 18.6%, theft from vehicle off 15.2%, and vandalism off 23.4%. Arson is the one exception — 8 incidents against 5 the prior year, a 60.0% increase — though at those volumes the move carries limited weight.

2 sustained shifts1 zero-event
02 · Notable signals

Notable signals 0

Nothing notable surfaced this month — every category sits within normal range against its baseline.

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
2024-072026-06
Robbery-64%
2024-072026-06
Aggravated Assault-17%
2024-072026-06
Sexual Assaultbelow threshold
2024-072026-06
Burglary-6%
2024-072026-06
Theft from Vehicle-15%
2024-072026-06
Other Larceny-19%
2024-072026-06
Motor Vehicle Theft-27%
2024-072026-06
Vandalism-23%
2024-072026-06
Arsonbelow threshold
2024-072026-06
05 · Forecast

What next month likely looks like

Forecasts trained through June 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

JULY 2026
Most likely 23 next month — likely between 9 and 38.
17% vs 12-month average (≈28.1)

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

JULY 2026
Most likely 28 next month — likely between 9 and 46.
+23% vs 12-month average (≈22.8)

Other Larceny

JULY 2026
Most likely 64 next month — likely between 38 and 90.
+14% vs 12-month average (≈55.8)

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

JULY 2026
Most likely 54 next month — likely between 27 and 80.
+1% vs 12-month average (≈54.1)

Vandalism

JULY 2026
Most likely 26 next month — likely between 16 and 37.
+40% vs 12-month average (≈18.8)
06 · Context & comps

How Northeast compares

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

07 · Patterns

Recurring local terms (last 12 months)

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

breakingenteringshopliftingdestructionaccessoriespartsnibrsreportablesimplebuildingfraudaggravatedautomatedcardcreditmachinetellerconfidencefalsegamepretensesswindleidentitydrivinginfluence
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
01,1562,31212am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
01,7763,552MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
01,0732,146JanFebMarAprMayJunJulAugSepOctNovDec
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.