Near South Side Crime Rate Trends — Chicago
Near South Side is a downtown neighborhood including the Prairie Avenue Historic District, McCormick Place, and the South Loop. Anchored by Soldier Field, the Field Museum and the broader Museum Campus peninsula, and the Metra Electric line.
Near South Side registered one signal in June 2026 — a sustained structural shift in vandalism, down 41.2% against the prior 12-month period. That single move defines the month: the category count is narrow, and everything else tracked within normal range.
Vandalism is the sharpest mover in the broader 12-month picture, dropping from 289 incidents to 170. Across violent and property categories, the directional story is consistently downward — burglary off 37.7%, sexual assault off 33.3%, robbery off 23.5% — but none of those crossed the anomaly threshold this month. The vandalism sustained shift is the one category where the multi-year pattern is structurally distinct, not just a single quiet month.
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.
- Vandalism has reset to a lower baseline.
The trailing 12-month count is 170, down 41% from 289 the year before. If the trend holds another quarter, it will pull the multi-year baseline down.
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 Near South Side compares
Peer neighborhoods picked by closest 12-month vandalism 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 vandalism levels.”
Lincoln Square
171 incidents over the past 12 months — 1 above Near South Side's 170.
Open page →North Center
169 incidents over the past 12 months — 1 below Near South Side's 170.
Open page →Edgewater
172 incidents over the past 12 months — 2 above Near South Side's 170.
Open page →Recurring local terms (last 12 months)
Top terms in incident descriptions for Near South Side, 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.