SUSTAINED DROP · BURGLARYMARCH 2026 BRIEFINGCHICAGO · 85.5K 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).

BURGLARY · 24-MO COUNT03 2026 · 7
0285512-mo avg: 17.1
WEST TOWNCITYWIDE TREND (RESCALED)-20% 12MO YOY
-53%MoM
-47%12mo YoY
205last 12mo
7this month
01 · TL;DR

West Town's March 2026 briefing is defined by structural contraction across violent and property crime — three sustained shifts, all downward, with no spikes or rare-event signals anywhere in the data. This is not a single quiet month; it is a multi-year pattern holding across robbery, burglary, and motor vehicle theft simultaneously.

Burglary is down 47.3% against the prior 12 months — 205 incidents vs. 389 — the most pronounced of the three. Robbery has moved in the same direction at a steeper rate, falling 60.3% to 124 incidents from 312. Motor vehicle theft is down 27.2%, from 997 to 726. Sexual assault is the one category running above prior-year levels at +15.1%, but it did not register as a notable signal this month; every other tracked category was within range or declining.

3 sustained shifts
02 · Notable signals

Notable signals 0

Nothing notable surfaced this month — every category sits within normal range against its baseline.

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
2024-042026-03
Robbery-60%
2024-042026-03
Aggravated Assault-8%
2024-042026-03
Sexual Assault+15%
2024-042026-03
Burglary-47%
2024-042026-03
Other Larceny-0%
2024-042026-03
Motor Vehicle Theft-27%
2024-042026-03
Vandalism+4%
2024-042026-03
Arsonbelow threshold
2024-042026-03
05 · Forecast

What next month likely looks like

Forecasts trained through March 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

APRIL 2026
Most likely 20 next month — likely between 1 and 39.
+18% vs 12-month average (≈17.1)

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

APRIL 2026
Most likely 82 next month — likely between 40 and 122.
+35% vs 12-month average (≈60.5)

Other Larceny

APRIL 2026
Most likely 156 next month — likely between 78 and 235.
29% vs 12-month average (≈219.1)

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

APRIL 2026
Most likely 68 next month — likely between 40 and 97.
3% vs 12-month average (≈70.0)
06 · Context & comps

How West Town compares

Peer neighborhoods picked by closest 12-month burglary 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 burglary levels.”

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.

simpleretailaggravateddomesticfraudbuildingfinancialidentityhandgunconfidencegameunlawfulweaponforciblecardtelephoneharassmentfeetfistshandsinjurylanddangerouscreditcutting
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
01,4962,99212am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
03,3286,656MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
02,0724,145JanFebMarAprMayJunJulAugSepOctNovDec
08 · Methodology

How we built this page

Data → Anomalies → Forecast → Page

Incident data is pulled from SFPD's open dataset, 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.