Roseland Crime Rate Trends — Chicago
Roseland is a Far South Side neighborhood organized around the Michigan Avenue commercial corridor and the Metra Electric line's 103rd and 111th stations. Predominantly bungalows and brick two-flats, named for the rose gardens that early Dutch settlers planted in the area.
Four categories ran below trend in Roseland this June — all four drops, no spikes, no rare events. The shape is consistently downward across both violent and property crime, with vandalism, homicide, and aggravated assault all registering as below-trend signals alongside a fourth category in the same direction.
Vandalism is the strongest single signal: 643 incidents over the current 12 months against a baseline of 851.85, and down 13.0% against the prior 12-month period of 739. Homicide is down 41.7% year-over-year — 14 incidents vs. 24 in the prior 12 months — and aggravated assault is down 9.9%, from 352 to 317. The rest of the tracked categories either held within range or, in the case of burglary and robbery, moved modestly above their prior-year levels without crossing the signal threshold.
Notable signals 4
Vandalism
The past 12 months saw 643 incidents — about 25% below the 852 average from prior years.
Homicide
The past 12 months saw 14 incidents — about 44% below the 25 average from prior years.
Aggravated Assault
The past 12 months saw 317 incidents — about 24% below the 415 average from prior years.
Robbery
The past 12 months saw 155 incidents — about 26% below the 209 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 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 Roseland 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.”
Near North Side
650 incidents over the past 12 months — 7 above Roseland's 643.
Open page →North Lawndale
636 incidents over the past 12 months — 7 below Roseland's 643.
Open page →Greater Grand Crossing
688 incidents over the past 12 months — 45 above Roseland's 643.
Open page →Recurring local terms (last 12 months)
Top terms in incident descriptions for Roseland, 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.