SUSTAINED RISE · BURGLARYAPRIL 2026 BRIEFINGSEATTLE · 42.5K residents

Queen Anne Crime Rate Trends — Seattle

Queen Anne is a hillside neighborhood immediately north of downtown, anchored by Queen Anne Avenue along the top of the hill and Lower Queen Anne at the base near Seattle Center. Includes Kerry Park's iconic skyline view and runs from Mercer Street up to the crown of the hill.

BURGLARY · 24-MO COUNT04 2026 · 49
0448712-mo avg: 45.3
QUEEN ANNECITYWIDE TREND (RESCALED)-6% 12MO YOY
+20%MoM
+27%12mo YoY
543last 12mo
49this month
01 · TL;DR

April 2026 was a narrow month for Queen Anne — only one category crossed the anomaly threshold, and it was a sustained structural shift rather than a single-month swing. Burglary has climbed 26.9% over the trailing 12 months against the prior year, a multi-month pattern, not a one-off.

Burglary accounts for 543 incidents in the current 12-month window versus 428 in the year before — the clearest move in an otherwise stable picture. Robbery ran in the opposite direction, down 28.6% over the same period (40 incidents vs. 56). Vandalism also fell, off 14.7% year-over-year. Theft from vehicle and aggravated assault were essentially flat. Everything outside burglary sat within normal range.

1 sustained shift1 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-29%
2024-052026-04
Aggravated Assault+4%
2024-052026-04
Sexual Assaultbelow threshold
2024-052026-04
Burglary+27%
2024-052026-04
Theft from Vehicle-1%
2024-052026-04
Other Larceny+21%
2024-052026-04
Motor Vehicle Theft+8%
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 43 next month — likely between 22 and 63.
5% vs 12-month average (≈45.3)

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 29 next month — likely between 17 and 40.
+3% vs 12-month average (≈28.1)

Other Larceny

MAY 2026
Most likely 40 next month — likely between 19 and 62.
13% vs 12-month average (≈46.3)

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 82 next month — likely between 53 and 110.
4% vs 12-month average (≈84.8)

Vandalism

MAY 2026
Most likely 33 next month — likely between 22 and 44.
+33% vs 12-month average (≈25.2)
06 · Context & comps

How Queen Anne compares

Peer neighborhoods picked by closest 12-month burglary 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 burglary levels.”

SPATIAL SPILLOVER · NEW

Do crime spikes here spill over to adjacent neighborhoods?

Queen Annedoesn't have enough spike history in any single category for a stable spillover rate yet (we want at least 5 events). The table below lists what we have.

Queen Anne historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Vandalism2— too few

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

breakingenteringdestructionnibrsreportableaccessoriespartsshopliftingbuildingsimpleaggravatedfraudautomatedcardcreditmachinetelleridentityconfidencefalsegamepretensesswindledrivinginfluence
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
01,2462,49312am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
01,9993,999MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
01,1412,283JanFebMarAprMayJunJulAugSepOctNovDec
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.