ZERO EVENT · HOMICIDESEPTEMBER 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.

HOMICIDE · 24-MO COUNT09 2026 · 0
01112-mo avg: 0.0
NORTHEASTCITYWIDE TREND (RESCALED)-13% 12MO YOY
—MoM
—12mo YoY
0last 12mo
0this month
01 · TL;DR

September 2026 was a structurally calm month for Northeast Seattle. No category produced a tracked signal this month, and the one notable pattern, a zero-event result in Homicide, reflects a 12-month absence rather than a single-month move.

The broader 12-month picture is strongly downward across violent crime: Robbery sits at 17 incidents against 68 in the prior year, down 75.0%, and Aggravated Assault fell from 61 to 42, a 31.1% reduction. Property categories followed the same direction, with Theft from Vehicle down 16.3% (609 vs. 728), Motor Vehicle Theft down 19.7%, and Vandalism down 19.9%. Burglary is the one category running flat, 325 incidents against 321 in the prior 12 months, essentially unchanged.

1 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
2024-102026-09
Robbery-75%
2024-102026-09
Aggravated Assault-31%
2024-102026-09
Sexual Assaultbelow threshold
2024-102026-09
Burglary+1%
2024-102026-09
Theft from Vehicle-16%
2024-102026-09
Other Larceny-10%
2024-102026-09
Motor Vehicle Theft-20%
2024-102026-09
Vandalism-20%
2024-102026-09
Arsonbelow threshold
2024-102026-09
05 · Forecast

What next month likely looks like

Forecasts trained through September 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

OCTOBER 2026
Most likely 31 next month — likely between 18 and 45.
+15% vs 12-month average (≈27.1)

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

OCTOBER 2026
Most likely 28 next month — likely between 10 and 45.
+32% vs 12-month average (≈21.1)

Other Larceny

OCTOBER 2026
Most likely 66 next month — likely between 36 and 94.
+19% 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

OCTOBER 2026
Most likely 62 next month — likely between 35 and 89.
+22% vs 12-month average (≈50.8)

Vandalism

OCTOBER 2026
Most likely 24 next month — likely between 12 and 35.
+33% vs 12-month average (≈17.8)
06 · Context & comps

How Northeast compares

Peer neighborhoods picked by closest 12-month homicide 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 homicide 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.

breakingenteringshopliftingdestructionnibrsreportableaccessoriespartssimplebuildingfraudautomatedcardcreditmachinetelleraggravatedconfidencefalsegamepretensesswindleidentitydrivinginfluence
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
01,1822,36412am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
01,8083,617MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
01,0962,191JanFebMarAprMayJunJulAugSepOctNovDec
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.