Washington Park Crime Rate Trends — Chicago
Washington Park is a South Side neighborhood organized around Washington Park itself (designed by Frederick Law Olmsted) and the Garfield Boulevard commercial corridor. Anchored by the DuSable Black History Museum, the Green Line's Garfield station, and the historic Aldine Square.
September 2026 produced no tracked signals in Washington Park. Every category stayed within its expected range for the month, and no single-month spikes, drops, rare events, or structural shifts registered across any of the eight tracked crime types.
The 12-month picture offers more texture. Robbery is up 25.6% year-over-year, 49 incidents against 39, and burglary is up 24.3%, 46 against 37. On the other side, homicide fell from 10 to 4 over the same window, down 60.0%, and motor vehicle theft is down 15.3%, 222 against 262. Vandalism and aggravated assault are also lower than the prior 12 months. The trailing-year trends are mixed across violent and property categories, but no single month within that window, including September, triggered a notable shift in either direction.
Notable signals 0
Nothing notable surfaced this month — every category sits within normal range against its baseline.
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.
What's been quietly true for a year
Spikes get attention. Sustained shifts shape policy. These are multi-quarter patterns where the past 12-month total differs meaningfully from the year before — they often precede the baseline resetting.
No sustained shifts surfaced this month.
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
Too low-volume per neighborhood for a reliable point forecast — see the rare-event and streak-break signals above instead.
Arson
Below the volume threshold for a reliable forecast — too few incidents in recent months to project from.
Burglary
Homicide
Too low-volume per neighborhood for a reliable point forecast — see the rare-event and streak-break signals above instead.
Motor Vehicle Theft
Other Larceny
Robbery
Too low-volume per neighborhood for a reliable point forecast — see the rare-event and streak-break signals above instead.
Sexual Assault
Too low-volume per neighborhood for a reliable point forecast — see the rare-event and streak-break signals above instead.
Vandalism
How Washington Park compares
Peer neighborhoods picked by closest 12-month other larceny 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 other larceny levels.”
South Deering
358 incidents over the past 12 months — 2 below Washington Park's 360.
Open page →Garfield Ridge
346 incidents over the past 12 months — 14 below Washington Park's 360.
Open page →Dunning
341 incidents over the past 12 months — 19 below Washington Park's 360.
Open page →Recurring local terms (last 12 months)
Top terms in incident descriptions for Washington Park, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.
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.
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.