SUSTAINED RISE · BURGLARYAPRIL 2026 BRIEFINGSEATTLE · 56.4K residents

North Central Crime Rate Trends — Seattle

North Central covers the Wallingford, Fremont, and Phinney Ridge corridor north of Lake Union and west of I-5. Organized around the 45th Street and Stone Way commercial strips; anchored by Gas Works Park, the Woodland Park Zoo, and the Fremont Bridge.

BURGLARY · 24-MO COUNT04 2026 · 51
0479412-mo avg: 51.9
NORTH CENTRALCITYWIDE TREND (RESCALED)-6% 12MO YOY
+28%MoM
+30%12mo YoY
623last 12mo
51this month
01 · TL;DR

April 2026 produced two signals in North Central, both structural: burglary and vandalism have each shifted at the 12-month level, moving in opposite directions. The shape is not a noisy single-month move — both register as sustained shifts, meaning the divergence has held long enough to separate from baseline.

Burglary is up 29.8% over the prior 12 months, 623 incidents against 480 the year before. Vandalism moved the other way, down 25.9% over the same window — 277 incidents against 374. Every other tracked category, from robbery to motor vehicle theft, ran within its normal range and produced no signals this month.

2 sustained shifts
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-36%
2024-052026-04
Aggravated Assault-5%
2024-052026-04
Sexual Assaultbelow threshold
2024-052026-04
Burglary+30%
2024-052026-04
Theft from Vehicle+4%
2024-052026-04
Other Larceny+19%
2024-052026-04
Motor Vehicle Theft-6%
2024-052026-04
Vandalism-26%
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 45 next month — likely between 19 and 71.
14% vs 12-month average (≈51.9)

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 41 next month — likely between 23 and 57.
+17% vs 12-month average (≈34.8)

Other Larceny

MAY 2026
Most likely 38 next month — likely between 20 and 59.
26% vs 12-month average (≈51.8)

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

MAY 2026
Most likely 63 next month — likely between 21 and 101.
15% vs 12-month average (≈74.3)

Vandalism

MAY 2026
Most likely 30 next month — likely between 17 and 43.
+32% vs 12-month average (≈23.1)
06 · Context & comps

How North Central 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?

When North Central has spiked robbery historically (8 events on record), an adjacent neighborhood spiked the same category within 3 months 100% of the time. The strongest-travelling categories sit at the top of the table.

North Central historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Robbery8100%
Motor vehicle theft5100%

Each row shows North Central's historical spike events for that category, and how often any of its 5 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 North Central, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

breakingenteringdestructionaccessoriespartsnibrsreportableshopliftingbuildingsimpleaggravatedfraudidentitydrivinginfluenceautomatedcardcreditmachinetellerconfidencefalsegamepretensesswindle
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
01,6433,28612am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
02,3064,611MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
01,3772,754JanFebMarAprMayJunJulAugSepOctNovDec
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.