ZERO EVENT · HOMICIDEAPRIL 2026 BRIEFINGSEATTLE · 16.1K residents

Seward Park Crime Rate Trends — Seattle

Seward Park is a Lake Washington shoreline neighborhood centered on the Bailey Peninsula and the 300-acre Seward Park itself. Predominantly single-family homes on tree-lined streets, with the park's old-growth forest and waterfront loop as the dominant geographic feature.

HOMICIDE · 24-MO COUNT04 2026 · 0
01112-mo avg: 0.0
SEWARD PARKCITYWIDE TREND (RESCALED)-46% 12MO YOY
MoM
12mo YoY
0last 12mo
0this month
01 · TL;DR

April 2026 was a structurally quiet month in Seward Park. No tracked category generated a notable signal this period — the one zero-event observation for Homicide reflects an absence of activity rather than an anomaly worth separating from the baseline. The month's story is less about any single move and more about a broad, sustained decline across every major property crime category.

Theft from Vehicle is down 30.1% over the trailing 12 months (86 incidents vs. 123 the prior year), Burglary is down 39.5% (23 vs. 38), and Motor Vehicle Theft is down 40.5% (25 vs. 42). Aggravated Assault dropped 40.0% year-over-year on small absolute counts — 3 incidents against a prior-year total of 5. Every category in the tracked set is running below its prior-12-month level, with Vandalism the smallest mover at -7.1%.

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
2024-052026-04
Robberybelow threshold
2024-052026-04
Aggravated Assaultbelow threshold
2024-052026-04
Sexual Assaultbelow threshold
2024-052026-04
Burglary-40%
2024-052026-04
Theft from Vehicle-30%
2024-052026-04
Other Larceny-17%
2024-052026-04
Motor Vehicle Theft-41%
2024-052026-04
Vandalism-7%
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 4 next month — likely between 0 and 8.

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 4 next month — likely between 0 and 9.
+93% vs 12-month average (≈2.1)

Other Larceny

NO FORECAST

Below the volume threshold for a reliable forecast — too few incidents in recent months to project from.

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 12 next month — likely between 4 and 19.
+67% vs 12-month average (≈7.2)

Vandalism

MAY 2026
Most likely 2 next month — likely between 0 and 9.
+13% vs 12-month average (≈2.2)
06 · Context & comps

How Seward Park 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.”

SPATIAL SPILLOVER · NEW

Do crime spikes here spill over to adjacent neighborhoods?

When Seward Park has spiked motor vehicle theft historically (7 events on record), an adjacent neighborhood spiked the same category within 3 months 57.1% of the time. The strongest-travelling categories sit at the top of the table.

Seward Park historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Motor vehicle theft757.1%
Vandalism4— too few
Burglary2— too few

Each row shows Seward Park's historical spike events for that category, and how often any of its 1 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 Seward Park, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

nibrsreportabledestructionbreakingenteringaccessoriespartsfraudautomatedcardcreditdrivinginfluencemachinesimpletellerweaponaggravatedidentitycomputerconductconfidencedisorderlydrugfalse
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
011322712am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0185371MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0116231JanFebMarAprMayJunJulAugSepOctNovDec
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.