Riverdale Crime Rate Trends — Chicago
Riverdale is a Far South Side neighborhood between the Calumet River and the Bishop Ford Expressway, including the Altgeld Gardens public housing development. Predominantly low-rise housing, bordered by the Beaubien Woods forest preserve.
April 2026 brought two structural signals in Riverdale — both sustained shifts, both pointing downward. This is not a single-month dip; the data reflects multi-year compression across two of the neighborhood's higher-volume property categories.
Motor vehicle theft is down 45.1% against the prior 12 months (62 incidents vs. 113), the larger of the two sustained moves. Other larceny follows the same pattern, down 27.8% over the same window (114 vs. 158). Every other tracked category fell within its normal range this month, including burglary, which is up 31.2% on a 12-month basis but did not cross the signal threshold.
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.
- Motor Vehicle Theft has reset to a lower baseline.
The trailing 12-month count is 62, down 45% from 113 the year before. If the trend holds another quarter, it will pull the multi-year baseline down.
- Other Larceny has reset to a lower baseline.
The trailing 12-month count is 114, down 28% from 158 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 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
Below the volume threshold for a reliable forecast — too few incidents in recent months to project from.
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 Riverdale compares
Peer neighborhoods picked by closest 12-month motor vehicle theft 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 motor vehicle theft levels.”
North Park
61 incidents over the past 12 months — 1 below Riverdale's 62.
Open page →Hermosa
65 incidents over the past 12 months — 3 above Riverdale's 62.
Open page →McKinley Park
65 incidents over the past 12 months — 3 above Riverdale's 62.
Open page →Recurring local terms (last 12 months)
Top terms in incident descriptions for Riverdale, 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.