SPIKE · SEXUAL ASSAULTSEPTEMBER 2026 BRIEFINGCHICAGO · 87.0K residents

West Town Crime Rate Trends — Chicago

West Town is a West Side neighborhood that includes Wicker Park, Bucktown, the Ukrainian Village, and Noble Square, organized around Milwaukee, Damen, and North Avenues. Anchored by the historic Flatiron Building at the Milwaukee-Damen-North six-corners and the Bloomingdale Trail (the 606).

SEXUAL ASSAULT · 24-MO COUNT09 2026 · 8
061312-mo avg: 7.5
WEST TOWNCITYWIDE TREND (RESCALED)+5% 12MO YOY
+14%MoM
+22%12mo YoY
90last 12mo
8this month
01 · TL;DR

Four categories moved in West Town this September, a mix of one single-month drop, one single-month spike, and two sustained structural shifts. The overall shape is uneven: robbery is pulling sharply lower on both short and long timelines, while sexual assault is moving in the opposite direction.

Robbery is the clearest structural story, down 60.7% over the trailing 12 months, 94 incidents against 239 in the prior year, and the sustained-shift signal confirms this is not a one-month fluctuation. Sexual assault is the counter-signal: 90 incidents in the current 12 months against 74 in the prior year, a 21.6% rise, and the single-month spike indicates the recent pace is running above even that elevated trend. Everything else, burglary, aggravated assault, motor vehicle theft, vandalism, and other larceny, landed within its normal range for the month.

1 spike1 drop2 sustained shifts
02 · Notable signals

Notable signals 2

SPIKE · SEXUAL ASSAULT

Sexual Assault

The past 12 months saw 90 incidents — about 38% above the 65 average from prior years.

DROP · ROBBERY

Robbery

The past 12 months saw 94 incidents — about 72% below the 336 average from prior years.

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-61%
2024-102026-09
Aggravated Assault-15%
2024-102026-09
Sexual Assault+22%
2024-102026-09
Burglary-37%
2024-102026-09
Other Larceny+7%
2024-102026-09
Motor Vehicle Theft+11%
2024-102026-09
Vandalism+4%
2024-102026-09
Arsonbelow threshold
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

NO FORECAST

Below the volume threshold for a reliable forecast — too few incidents in recent months to project from.

Burglary

OCTOBER 2026
Most likely 21 next month — likely between 3 and 39.
+40% vs 12-month average (≈15.3)

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

OCTOBER 2026
Most likely 98 next month — likely between 55 and 140.
+41% vs 12-month average (≈69.4)

Other Larceny

OCTOBER 2026
Most likely 276 next month — likely between 203 and 342.
+20% vs 12-month average (≈229.3)

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.

Vandalism

OCTOBER 2026
Most likely 86 next month — likely between 55 and 115.
+19% vs 12-month average (≈72.3)
06 · Context & comps

How West Town compares

Peer neighborhoods picked by closest 12-month sexual assault 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 sexual assault levels.”

SPATIAL SPILLOVER · NEW

Do crime spikes here spill over to adjacent neighborhoods?

West Towndoesn'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.

West Town historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Sexual assault1— too few

Each row shows West Town's historical spike events for that category, and how often any of its 6 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 Chicago); 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 West Town, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

simpleretailaggravateddomesticfraudbuildingconfidencegamefinancialidentityhandgununlawfulharassmentforcibleweapontelephonelandcardfeetfistshandsinjuryrecoveryminorcredit
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
01,5713,14312am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
03,5247,048MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
02,2464,491JanFebMarAprMayJunJulAugSepOctNovDec
08 · Methodology

How we built this page

Data → Anomalies → Forecast → Page

Incident data is pulled from CPD's open dataset on the City of Chicago Open Data portal — IUCR-coded and mapped to 9 UCR-aligned categories (theft from vehicle isn't reliably separable in the public feed and rolls into other larceny). Aggregated to community area × 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.