ZERO EVENT · HOMICIDEAPRIL 2026 BRIEFINGSEATTLE · 45.7K residents

Ballard Crime Rate Trends — Seattle

Ballard is a Northwest Seattle neighborhood organized around Market Street and the Ballard Locks where Salmon Bay meets Shilshole Bay. Historically a Scandinavian fishing and milling town that the city annexed in 1907; today anchored by the Ballard Avenue commercial strip, the Sunday farmers market, and the working waterfront along Salmon Bay.

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

April 2026 was a quiet month in Ballard. Across eight tracked categories, no single-month spikes, drops, or sustained-shift signals triggered — the one signal recorded was a zero-event for Homicide, meaning the category produced no incidents in the current window. The structural picture across the neighborhood is broadly one of gradual decline in property crime, with no acute moves this period.

Motor vehicle theft is down 19.5% over the trailing 12 months (351 vs. 436 the year prior), and vandalism is down 14.8% (328 vs. 385). Burglary is the one category running against that grain — up 8.7% year-over-year at 539 incidents vs. 496 — but it did not generate a single-month signal this period. Everything else, including theft from vehicle at 714 incidents and other larceny at 675, landed within normal range.

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
Robbery-5%
2024-052026-04
Aggravated Assault-6%
2024-052026-04
Sexual Assaultbelow threshold
2024-052026-04
Burglary+9%
2024-052026-04
Theft from Vehicle-7%
2024-052026-04
Other Larceny-3%
2024-052026-04
Motor Vehicle Theft-20%
2024-052026-04
Vandalism-15%
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 40 next month — likely between 20 and 58.
12% vs 12-month average (≈44.9)

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 35 next month — likely between 17 and 54.
+20% vs 12-month average (≈29.3)

Other Larceny

MAY 2026
Most likely 52 next month — likely between 32 and 72.
7% vs 12-month average (≈56.3)

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 62 next month — likely between 39 and 86.
+4% vs 12-month average (≈59.5)

Vandalism

MAY 2026
Most likely 27 next month — likely between 13 and 41.
+0% vs 12-month average (≈27.3)
06 · Context & comps

How Ballard 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 Ballard has spiked motor vehicle theft historically (12 events on record), an adjacent neighborhood spiked the same category within 3 months 75% of the time. The strongest-travelling categories sit at the top of the table.

Ballard historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Motor vehicle theft1275%
Vandalism1— too few

Each row shows Ballard'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 Ballard, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

breakingenteringdestructionnibrsreportableshopliftingaccessoriespartssimplefraudaggravatedbuildingautomatedcardcreditmachinetelleridentityrealtrespassdrivinginfluenceconfidencefalsegame
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
01,2942,58712am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
01,9613,923MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
01,1592,318JanFebMarAprMayJunJulAugSepOctNovDec
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.