McKinley Park Crime Rate Trends — Chicago
McKinley Park is a Southwest Side neighborhood organized around McKinley Park itself, named for President William McKinley. Predominantly bungalows and worker cottages, bordered by the Stevenson Expressway and the Bubbly Creek branch of the Chicago River.
June 2026 was a quiet month for McKinley Park — no tracked category crossed the anomaly threshold, and no single-month signals surfaced in either direction. The month's story is instead in the 12-month structural picture across seven categories, where the moves are meaningful even without a fresh trigger.
Robbery stands out in the trailing-year data: 17 incidents over the current 12 months against 37 in the prior period, down 54.1%. Vandalism moved the other way — 105 incidents vs. 87, up 20.7% — and sexual assault edged up 27.3% on a small base (14 vs. 11). Aggravated assault, other larceny, and motor vehicle theft all ran modestly below their prior-year levels, while burglary was up 11.1%. No category generated a signal this month, so the 12-month trends are the whole story.
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 June 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 McKinley 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.”
Dunning
320 incidents over the past 12 months — 15 above McKinley Park's 305.
Open page →Norwood Park
326 incidents over the past 12 months — 21 above McKinley Park's 305.
Open page →North Park
269 incidents over the past 12 months — 36 below McKinley Park's 305.
Open page →Recurring local terms (last 12 months)
Top terms in incident descriptions for McKinley 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.