Chicago · September 2026 briefing

Chicago Crime Rate Trends

Data sourced from the Chicago Police Department (CPD) Open Data portal and analyzed by Public Analyst.ai: 77 neighborhoods, 9 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
94
tracked signals this month — across spikes, drops, sustained shifts, rare events.
-3.7%
overall city incident volume vs. trailing 12-month avg.
77
neighborhoods covered. Each gets its own page.
9
incident categories tracked, NIBRS-aligned.

Beverly aggravated assault rose 86% against its multi-year baseline, the strongest single signal in Chicago this briefing and the first time this neighborhood has topped the citywide rankings. The move stands out against an otherwise broadly declining month, making it the clearest fresh story in September 2026.

Citywide volume is down 3.7% against the prior 12 months, 128,894 incidents against 133,803. The signal mix leans toward stability: 49 sustained-shift signals and 34 below-trend signals against 10 fresh spikes across 77 neighborhoods. Sexual assault registered fresh spikes in three neighborhoods, Lower West Side, West Pullman, and Douglas, a category-level pattern that sits alongside the Beverly aggravated assault move as the second thread worth tracking.

The Beverly result is new to the top of the rankings, so there is no multi-month run to contextualize it. The sexual assault pattern across three neighborhoods is the more structurally notable element: three separate areas showing the same move in the same month is a signal worth watching in October. Otherwise, the sustained-shift and drop signals continue to outnumber spikes nearly eight to one, and the multi-year decline in citywide volume holds.

WHAT TO READ NEXT
Direct answers

Chicago 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 Chicago down?

Yes. Citywide incident volume is 3.7% lower than the prior 12 months.

Across the trailing 12-month window we tracked 128,894 incidents in NIBRS-aligned categories, compared to 133,803 in the year before, down 4,909 incidents.

Is violent crime in Chicago down?

Yes. Homicide, robbery, aggravated assault, and sexual assault are down 11.5% combined in the trailing 12 months.

That's 20,552 violent incidents in the past year against 23,221 in the prior year. See the by-category section below for the per-bucket breakdown.

Is property crime in Chicago down?

Yes. Burglary, theft from vehicle, larceny, motor vehicle theft, and arson are down 1.7% combined in the trailing 12 months.

That's 82,647 property incidents in the past year against 84,104 in the prior year.

What are the safest neighborhoods to stay in Chicago?

  1. Edison Park — 6.5 incidents per 1,000 residents
  2. Forest Glen — 9.3 incidents per 1,000 residents
  3. Mount Greenwood — 10.7 incidents per 1,000 residents

The three safest neighborhoods in Chicago, 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 Chicago saw the biggest crime drop?

Forest Glen: 25.3% fewer incidents than the prior 12 months.

Forest Glen logged 186 incidents in the trailing 12 months against 249 the year before.

Which neighborhood in Chicago saw the biggest crime increase?

Armour Square: 17.7% more incidents than the prior 12 months.

Armour Square logged 816 incidents in the trailing 12 months against 693 the year before.

City profile

The denominators behind the numbers

SOURCES · US CENSUS ACS 2024 · CHICAGO DATA PORTAL · CPD
Geography
Land area227.7 mi²
Water area6.9 mi²
CoastlineLake Michigan frontage (≈ 26 mi)
Elevation578–672 ft
Police districts22
Community areas77 (analysis units)

Lake-fronting flat city laid out on a strict grid; the 77 community areas were defined by the University of Chicago in the 1920s and remain the city's standard analytical unit. Major arterials (Lake Shore Dr, Western, Western Ave, the I-90/94 expressway) define most community-area boundaries.

Population
2,710,553
Density~11,904 / mi²
Median age38.0
Households~1.16M
Avg HH size2.43

ACS 2024 5-year estimates, county-level (Cook County). Cook County is broader than Chicago city — county-level medians (rent, home value, household income, age) lean slightly different from a Chicago-city-only median. Per-tract counts (population, households, housing units) sum only the ~790 tracts that fall inside the city.

Housing
Units~1.28M
Median rent$1,435
Median home value$324,500
Vacancy9.1%
Tenure
Renter 54%Owner 46%
Stock
SFH 29%2–4 unit 27%5+ unit 43%
Economy & people
Median HH income$83,498
Poverty rate16.8%
Unemployment8.0%
Bachelor's+44.3%
Foreign-born20.9%
Age distribution
<18 19%18–34 29%35–64 38%65+ 14%

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)~8,800
L stations146
Walk score77 (very walkable)

Dense, transit-rich core (Loop, Near North, Lakeview) gives way to mid-density bungalow belts and lower-density South and West Side neighborhoods. The CTA L network shapes most North Side and West Side travel patterns; far South Side is more car-dependent.

Policing context
CPD sworn officers~12,000
Officers / 10K res.~44
911 calls / yr~5.5M
Open data lag≈ 7 days (settled)

CPD started submitting to NIBRS in 2021 but the public Crimes dataset has stayed on the IUCR coding scheme for stability. Our category mapper translates IUCR primary types and descriptions into the same UCR Part 1 buckets used elsewhere on the site, so cross-city comparisons stay apples-to-apples. The dataset documents a 7-day reporting buffer.

Interactive map

Every neighborhood, color-coded

CLICK A NEIGHBORHOOD →
Category
Layer
Window
RAW COUNT · 1Y
753,3816,687
Rankings

Largest moves this month

RANKED BY ANOMALY STRENGTH
#NeighborhoodCategoryMoMYoY 12movs baseline90-day trendSignal
01BeverlyAggravated Assault-75%+74%+86%SPIKE
02Gage ParkOther Larceny-28%+56%+122%SPIKE
03Lower West SideSexual Assault-33%+59%+91%SPIKE
04West PullmanSexual Assault+33%+65%+84%SPIKE
05DouglasSexual Assault0%+36%+83%SPIKE
06Armour SquareOther Larceny+50%+47%+64%SPIKE
07BridgeportOther Larceny-36%+11%+47%SPIKE
08AshburnSexual Assault-40%+17%+85%SPIKE
09West TownSexual Assault+14%+22%+38%SPIKE
10Lincoln SquareSexual Assault+75%+69%+76%SPIKE
11Archer HeightsArson———STREAK BREAK
12EnglewoodRobbery-29%-41%-45%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 ↓
029598811820192020202120222023202420252026monthly12-mo rolling mean
Latest 12mo423
YoY 12mo-12%
5-year change-49%
Window change-28%
Peak (12mo avg)69 · Mar '21
Trough (12mo avg)35 · Sep '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
039,49778,99312am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
094,604189,208MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
062,168124,335JanFebMarAprMayJunJulAugSepOctNovDec
Browse

All 77 Chicago neighborhoods

Crime rate trends and September 2026 briefings for every tracked neighborhood. Alphabetical.

Methodology

How We Calculate Chicago 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 →