Seattle · June 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 methodologyUPDATED · AS OF 2026-06
49
tracked signals this month — across spikes, drops, sustained shifts, rare events.
-9.3%
overall city incident volume vs. trailing 12-month avg.
20
neighborhoods covered. Each gets its own page.
10
incident categories tracked, NIBRS-aligned.

Greater Duwamish vandalism fell sharply this month — the most prominent fresh signal in Seattle's June 2026 briefing. Delridge other-larceny has been the backdrop category heading into this month, but vandalism is the new mover, with Greater Duwamish leading and Northwest also registering a below-trend reading in the same category.

Citywide volume is down 9.3% against the prior 12 months — 47,348 incidents against 52,224 in the year before. The signal mix is weighted heavily toward declines: 25 sustained-shift signals and 11 below-trend signals across 20 neighborhoods, against just one fresh spike. Theft from vehicle fell in both Northwest and West Seattle, reinforcing the downward tilt in property crime this period.

This is the first month Greater Duwamish vandalism has topped the rankings, so it's too early to read it as a structural shift. Delridge other-larceny — which had been the lead category — has not reversed; it produced the month's lone spike. With 12 zero-event signals and the citywide total running well below last year, the broader pattern remains one of declining volume across Seattle.

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 June 2026 briefing.

Is crime in Seattle down?

Yes — citywide incident volume is 9.3% lower than the prior 12 months.

Across the trailing 12-month window we tracked 47,348 incidents in NIBRS-aligned categories, compared to 52,224 in the year before — down 4,876 incidents.

Is violent crime in Seattle down?

Yes — homicide, robbery, aggravated assault, and sexual assault are down 2.7% combined in the trailing 12 months.

That's 5,342 violent incidents in the past year against 5,491 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 9.9% combined in the trailing 12 months.

That's 35,931 property incidents in the past year against 39,890 in the prior year.

What are the safest neighborhoods to stay in Seattle?

  1. Seward Park11.5 incidents per 1,000 residents
  2. West Seattle28.5 incidents per 1,000 residents
  3. Lake City32.0 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?

Lake City — 27.3% fewer incidents than the prior 12 months.

Lake City logged 981 incidents in the trailing 12 months against 1,350 the year before.

Which neighborhood in Seattle saw the biggest crime increase?

Interbay — 19.4% more incidents than the prior 12 months.

Interbay logged 357 incidents in the trailing 12 months against 299 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
1863,9237,659
Rankings

Largest moves this month

RANKED BY ANOMALY STRENGTH
#NeighborhoodCategoryMoMYoY 12movs baseline90-day trendSignal
01DelridgeOther Larceny+3%-3%+26%SPIKE
02Greater DuwamishVandalism-41%-26%-38%DROP
03NorthwestTheft from Vehicle-49%-15%-35%DROP
04West SeattleTheft from Vehicle-49%-29%-38%DROP
05NorthwestVandalism-26%-25%-21%DROP
06West SeattleBurglary+13%+4%-23%DROP
07Greater DuwamishMotor Vehicle Theft+33%-32%-45%DROP
08DelridgeBurglary+50%-21%-22%DROP
09Lake CityTheft from Vehicle-53%-38%-35%DROP
10DelridgeTheft from Vehicle+43%-30%-43%DROP
11Beacon HillBurglary+17%-15%-22%DROP
12Rainier ValleyRobbery+30%-15%-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 12mo30
YoY 12mo-38%
5-year change-45%
Window change-9%
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
024,37548,75012am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
037,33774,675MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
021,66743,333JanFebMarAprMayJunJulAugSepOctNovDec
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 →