South Shore Crime Rate Trends — Chicago
South Shore is a South Side lakefront neighborhood organized around 71st and 79th Streets, anchored by the South Shore Cultural Center (the former South Shore Country Club) and Rainbow Beach Park. Mixed mid-rise apartments and single-family homes, bordered by Lake Michigan to the east and the Metra Electric line to the west.
April 2026 produced a single notable signal in South Shore: one category moved, one direction, and everything else held within range. The month's shape is narrow — a quiet reading across most tracked categories, with one below-trend move in robbery standing as the sole tracked signal.
Robbery is down 22.8% over the trailing 12 months, 217 incidents against 281 in the prior year. That multi-year compression is the more significant context — the structural decline has been running long enough that this month's drop reading reflects continuation of an established pattern rather than a sudden shift. Homicide and aggravated assault are also lower over the same 12-month window, down 41.7% and 20.1% respectively, while motor vehicle theft is moving in the opposite direction, up 23.3% to 708 incidents, a contrast worth tracking in coming briefings.
Notable signals 1
Robbery
The past 12 months saw 217 incidents — about 28% below the 300 average from prior years.
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 April 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 South Shore compares
Peer neighborhoods picked by closest 12-month robbery 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 robbery levels.”
Loop
217 incidents over the past 12 months — 0 below South Shore's 217.
Open page →Near West Side
199 incidents over the past 12 months — 18 below South Shore's 217.
Open page →Greater Grand Crossing
186 incidents over the past 12 months — 31 below South Shore's 217.
Open page →Recurring local terms (last 12 months)
Top terms in incident descriptions for South Shore, 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.