ZERO EVENT · HOMICIDEAPRIL 2026 BRIEFINGSEATTLE · 54.1K residents

Capitol Hill Crime Rate Trends — Seattle

Capitol Hill is a dense neighborhood on the ridge east of downtown, anchored by Broadway, Pike/Pine, and Cal Anderson Park. The center of Seattle's nightlife and arts scene, with Volunteer Park, the Capitol Hill light rail station, and Seattle Central College as anchors.

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

April 2026 was a structurally quiet month for Capitol Hill — zero tracked signals across all categories, with the one notable item being a zero-event reading for Homicide. No category crossed the anomaly threshold in either direction this month.

The 12-month picture carries more movement. Burglary is down 20.9% against the prior year (724 incidents vs. 915), and Other Larceny is down 19.4% (953 vs. 1,183) — both sustained, broad-based property crime declines. On the other side, Robbery is up 8.3% (144 vs. 133) and Aggravated Assault up 7.5% (171 vs. 159) over the same window, though neither crossed the signal threshold this month. Everything else — Motor Vehicle Theft, Vandalism, Theft from Vehicle, Arson — ran 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+8%
2024-052026-04
Aggravated Assault+8%
2024-052026-04
Sexual Assaultbelow threshold
2024-052026-04
Burglary-21%
2024-052026-04
Theft from Vehicle+7%
2024-052026-04
Other Larceny-19%
2024-052026-04
Motor Vehicle Theft-3%
2024-052026-04
Vandalism+1%
2024-052026-04
Arson+9%
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 71 next month — likely between 41 and 97.
+18% vs 12-month average (≈60.3)

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 42 next month — likely between 20 and 63.
+5% vs 12-month average (≈40.1)

Other Larceny

MAY 2026
Most likely 80 next month — likely between 47 and 112.
+0% vs 12-month average (≈79.4)

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 87 next month — likely between 60 and 113.
+8% vs 12-month average (≈81.0)

Vandalism

MAY 2026
Most likely 51 next month — likely between 30 and 73.
+7% vs 12-month average (≈48.0)
06 · Context & comps

How Capitol Hill 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?

Capitol Hilldoesn'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.

Capitol Hill historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Motor vehicle theft4— too few

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

breakingenteringnibrsreportabledestructiondrugnarcoticsimplebuildingaccessoriespartsshopliftingaggravatedfrauddrivinginfluencemachineautomatedcardcredittellerweaponequipmentintimidationconfidence
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
01,7893,57712am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
02,7145,429MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
01,6233,246JanFebMarAprMayJunJulAugSepOctNovDec
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.