Seattle · September 2026 briefing

Seattle Crime Rate Trends

Data sourced from the Seattle Police Department (SPD) Open Data portal and analyzed by Public Analyst.ai: 20 neighborhoods, 10 incident categories, twelve months of trailing comparison. Browse the rankings, scan the multi-year trends, or open a neighborhood-level breakdown.

Read methodology→UPDATED · AS OF 2026-09
43
tracked signals this month — across spikes, drops, sustained shifts, rare events.
-7.8%
overall city incident volume vs. trailing 12-month avg.
20
neighborhoods covered. Each gets its own page.
10
incident categories tracked, NIBRS-aligned.

Delridge other larceny rose 29% against its multi-year baseline, the sharpest single-category move in Seattle this month and the first time this combination has topped the citywide rankings. No prior-month lead was carrying over: this is a fresh signal with no established run behind it.

Citywide volume is down 7.8% against the prior 12 months, 46,439 incidents against 50,351. The mix leans heavily toward sustained declines and below-trend readings: 18 sustained-shift signals and 12 below-trend signals across 20 neighborhoods, against just one fresh spike. Downtown homicide was a rare-event signal, low absolute counts but outside the expected range. Northwest recorded drops in both theft from vehicle and vandalism, two distinct categories in the same neighborhood moving the same direction.

The structural direction in Seattle remains downward, and the 43 total signals this month are dominated by categories holding below their prior-year levels. Delridge other larceny is the exception to watch: a single month above baseline is not a trend, but if it persists into October it moves from a one-month signal to something more durable.

WHAT TO READ NEXT
Direct answers

Seattle Crime Frequently Asked Questions

Trailing 12 months vs the prior 12 months, computed from the same NIBRS-aligned categories used everywhere else on the page. Updated each September 2026 briefing.

Is crime in Seattle down?

Yes. Citywide incident volume is 7.8% lower than the prior 12 months.

Across the trailing 12-month window we tracked 46,439 incidents in NIBRS-aligned categories, compared to 50,351 in the year before, down 3,912 incidents.

Is violent crime in Seattle down?

Yes. Homicide, robbery, aggravated assault, and sexual assault are down 2.5% combined in the trailing 12 months.

That's 5,318 violent incidents in the past year against 5,453 in the prior year. See the by-category section below for the per-bucket breakdown.

Is property crime in Seattle down?

Yes. Burglary, theft from vehicle, larceny, motor vehicle theft, and arson are down 7.7% combined in the trailing 12 months.

That's 35,279 property incidents in the past year against 38,233 in the prior year.

What are the safest neighborhoods to stay in Seattle?

  1. Seward Park — 13.5 incidents per 1,000 residents
  2. West Seattle — 28.7 incidents per 1,000 residents
  3. Lake City — 31.6 incidents per 1,000 residents

The three safest neighborhoods in Seattle, ranked by trailing-12-month incidents per 1,000 residents.

Computed as NIBRS-aligned trailing-12-month incident totals divided by the latest ACS 5-year residential population, expressed per 1,000 residents. Restricted to neighborhoods with at least 1,000 residents so park-only and industrial geographies, where visitor populations are not reflected in the residential denominator, are excluded.

Which neighborhood in Seattle saw the biggest crime drop?

Delridge: 20.0% fewer incidents than the prior 12 months.

Delridge logged 1,918 incidents in the trailing 12 months against 2,397 the year before.

Which neighborhood in Seattle saw the biggest crime increase?

Interbay: 7.7% more incidents than the prior 12 months.

Interbay logged 320 incidents in the trailing 12 months against 297 the year before.

City profile

The denominators behind the numbers

SOURCES · US CENSUS ACS 2024 · SEATTLE OPEN DATA · SPD
Geography
Land area83.9 mi²
Water area~58 mi²
CoastlineElliott Bay + L. Washington
Elevation0–520 ft
SPD precincts5
Neighborhoods20 (analysis units)

Seattle is a hilly, water-bounded city on an isthmus between Puget Sound and Lake Washington, with the Lake Washington Ship Canal cutting east-west through the middle. The L_HOOD level of the City Clerk's Neighborhood Map Atlas is the standard analytical neighborhood unit; smaller S_HOOD names roll up into them.

Population
739,523
Density~8,814 / mi²
Median age37.4
Households~357K
Avg HH size2.39

ACS 2024 5-year estimates, county-level (King County). King County is broader than Seattle city — county-level medians (rent, home value, household income, age) lean slightly different from a Seattle-city-only median. Per-tract counts (population, households, housing units) sum only the tracts that fall inside the city.

Housing
Units~387K
Median rent$2,092
Median home value$859,900
Vacancy7.8%
Tenure
Renter 57%Owner 43%
Stock
SFH 42%2–4 unit 5%5+ unit 52%
Economy & people
Median HH income$124,746
Poverty rate9.9%
Unemployment4.6%
Bachelor's+68.4%
Foreign-born20.2%
Age distribution
<18 14%18–34 35%35–64 38%65+ 13%

City-level only. We deliberately do not juxtapose these with neighborhood-level crime data — see the methodology for why.

Built environment
Street miles~4,000
Parks (acres)~6,400
Link light rail stations23 (1 Line + 2 Line within city)
Walk score74 (very walkable)

Dense, transit-served core (Downtown, Capitol Hill, U District, South Lake Union) tied together by the 1 Line spine; the rest of the city is mostly mid-density single-family with arterial commercial strips. The Ship Canal and Lake Washington split travel patterns east-west; I-5 runs the full north-south length.

Policing context
SPD sworn officers~1,300
Officers / 10K res.~17
911 calls / yr~900K
Open data lag≈ 7 days (settled)

SPD reports through NIBRS and publishes its full incident-level feed on Seattle Open Data with a ~7-day reporting buffer. Our category mapper translates SPD's NIBRS Group A offense codes into the same UCR Part 1 buckets used elsewhere on the site, so cross-city comparisons stay apples-to-apples.

Interactive map

Every neighborhood, color-coded

CLICK A NEIGHBORHOOD →
Category
Layer
Window
RAW COUNT · 1Y
2173,9677,716
Rankings

Largest moves this month

RANKED BY ANOMALY STRENGTH
#NeighborhoodCategoryMoMYoY 12movs baseline90-day trendSignal
01DelridgeOther Larceny-11%-4%+29%SPIKE
02DowntownHomicide———RARE EVENT
03Greater DuwamishVandalism-20%-26%-41%DROP
04NorthwestTheft from Vehicle-25%-21%-41%DROP
05NorthwestVandalism+33%-23%-25%DROP
06Lake CityRobbery0%-50%-49%DROP
07Greater DuwamishBurglary-11%-16%-29%DROP
08Beacon HillBurglary-52%-12%-25%DROP
09DelridgeTheft from Vehicle-42%-28%-47%DROP
10Lake CityTheft from Vehicle-6%-32%-36%DROP
11Greater DuwamishMotor Vehicle Theft-16%-30%-44%DROP
12West SeattleBurglary-33%+0%-26%DROP
Showing top 12 of 20 (neighborhood × category) cells with tracked signals.
Multi-year trends

The long arc — eight years of monthly counts

SELECT A CATEGORY ↓
03691320192020202120222023202420252026monthly12-mo rolling mean
Latest 12mo34
YoY 12mo-13%
5-year change-29%
Window change-8%
Peak (12mo avg)6 · Nov '23
Trough (12mo avg)3 · Jun '26
ALL CATEGORIES · 8-YEAR ARC · 12-MO ROLLING MEAN
2018 ─────────────────── 2026
When does it happen?

Hour-of-day, day-of-week, and seasonality

Distribution of bucketed incidents citywide 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
025,07850,15612am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
038,32976,658MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
023,22346,445JanFebMarAprMayJunJulAugSepOctNovDec
Methodology

How We Calculate Seattle Crime Trends

Open about how we define spikes, what we exclude as noise, where the data comes from, and how often the model is wrong.

# anomaly rule — spike
flag = (z >= 2.5) AND (current_12mo >= 20) AND (current_6mo above sustained band)
where z = (current_12mo − μ_baseline) / σ_baseline
# exclusions (excerpt)
· simple assault (varies by reporting practice)
· drug offenses (reflect policing policy)
· admin records, weapons-possession, fraud
# 2025 backtest (citywide)
7 of 10 categories ≥ 90% coverage. see table →