RARE EVENT · HOMICIDESEPTEMBER 2026 BRIEFINGSEATTLE · 55.7K residents

Downtown Crime Rate Trends — Seattle

Downtown Seattle is the central business district fronting Elliott Bay between Belltown and Pioneer Square, anchored by Pike Place Market, the Seattle waterfront, and the central Link light rail tunnel. Includes the retail core along Pine and Pike, the financial district, and the convention-center spine.

HOMICIDE · 24-MO COUNT09 2026 · 1
01112-mo avg: 0.1
DOWNTOWNCITYWIDE TREND (RESCALED)-13% 12MO YOY
—MoM
—12mo YoY
1last 12mo
1this month
01 · TL;DR

September 2026 produced a single notable signal in Downtown Seattle: a rare-event homicide. One category moved, one incident, and everything else tracked within its normal range this month.

Across the tracked categories, the 12-month picture is mixed but leaning downward on violent crime. Sexual assault is down 53.8% against the prior year, 12 incidents vs 26. Vandalism has also pulled back sharply, 1,042 incidents against 1,217 in the prior 12 months, a 14.4% reduction. On the other side, other larceny is up 9.7% year over year and burglary edged 3.0% higher, the two categories running against the otherwise broadly declining trend.

1 rare event
02 · Notable signals

Notable signals 1

RARE EVENT · HOMICIDE

Homicide

1 incident in the past 90 days. No prior occurrence in the analysis window.

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
2024-102026-09
Robbery-4%
2024-102026-09
Aggravated Assault-2%
2024-102026-09
Sexual Assault-54%
2024-102026-09
Burglary+3%
2024-102026-09
Theft from Vehicle-5%
2024-102026-09
Other Larceny+10%
2024-102026-09
Motor Vehicle Theft-6%
2024-102026-09
Vandalism-14%
2024-102026-09
Arson+13%
2024-102026-09
05 · Forecast

What next month likely looks like

Forecasts trained through September 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

OCTOBER 2026
Most likely 3 next month — likely between 0 and 6.
−12% vs 12-month average (≈2.9)

Burglary

OCTOBER 2026
Most likely 117 next month — likely between 60 and 173.
+9% vs 12-month average (≈107.0)

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

OCTOBER 2026
Most likely 63 next month — likely between 47 and 80.
+27% vs 12-month average (≈49.8)

Other Larceny

OCTOBER 2026
Most likely 116 next month — likely between 26 and 209.
−25% vs 12-month average (≈155.3)

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

OCTOBER 2026
Most likely 170 next month — likely between 78 and 262.
+3% vs 12-month average (≈165.5)

Vandalism

OCTOBER 2026
Most likely 94 next month — likely between 62 and 129.
+8% vs 12-month average (≈86.8)
06 · Context & comps

How Downtown 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.”

07 · Patterns

Recurring local terms (last 12 months)

Top terms in incident descriptions for Downtown, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

nibrsreportablebreakingenteringdrugdestructionnarcoticsimpleaggravatedbuildingshopliftingweaponequipmentfraudaccessoriespartsdrivinginfluencemachineautomatedcardcredittellerintimidationpicking
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
03,2736,54512am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
06,24012,481MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
03,6787,356JanFebMarAprMayJunJulAugSepOctNovDec
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.