Lake View Crime Rate Trends — Chicago
Lake View is a North Side neighborhood organized around Belmont and Addison Streets, anchored by Wrigley Field, the Music Box Theatre, and the CTA Red Line's Belmont, Addison, and Sheridan stations. Mixed mid-rise apartments and Victorian-era three-flats; bordered by Lake Michigan to the east.
April 2026 produced a single signal in Lake View: a sustained structural shift in motor vehicle theft, down 27.5% against the prior 12 months. Every other tracked category landed within its normal range — no spikes, no rare events, no streak breaks.
The motor vehicle theft move is the kind that reflects a longer pattern rather than a noisy month. At 282 incidents in the trailing 12 months against 389 the year before, that's a reduction of more than 100 incidents on an annualized basis. The broader property and violent crime categories — robbery down 22.2%, burglary down 17.5%, aggravated assault down 18.6% — all continue their multi-year downward trajectory in the 12-month window, though none crossed the anomaly threshold this 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.
- Motor Vehicle Theft has reset to a lower baseline.
The trailing 12-month count is 282, down 28% from 389 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
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 Lake View 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.”
Washington Heights
282 incidents over the past 12 months — 0 below Lake View's 282.
Open page →West Englewood
290 incidents over the past 12 months — 8 above Lake View's 282.
Open page →Logan Square
293 incidents over the past 12 months — 11 above Lake View's 282.
Open page →Recurring local terms (last 12 months)
Top terms in incident descriptions for Lake View, 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.