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.
Three signals surfaced in Lake View this September, and all three point the same direction. One category, robbery, registered a single-month below-trend reading. The other two are structural: robbery and burglary have each shifted downward across the full trailing 12 months, not just a quiet week or a noisy stretch. The shape of the month is a convergence of a short-term dip and longer-term declines in the same two categories.
Robbery is down 37.5% against the prior 12 months, 100 incidents vs. 160 in the year before. Burglary fell even further over the same window, 139 incidents against 251, a 44.6% reduction. Both sustained-shift readings reflect multi-year structural movement, not a single outlier month. Every other tracked category, aggravated assault, sexual assault, other larceny, motor vehicle theft, and vandalism, came in within normal range for the period.
Notable signals 1
Robbery
The past 12 months saw 100 incidents — about 46% below the 185 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.
- Burglary has reset to a lower baseline.
The trailing 12-month count is 139, down 45% from 251 the year before. If the trend holds another quarter, it will pull the multi-year baseline down.
- Robbery has reset to a lower baseline.
The trailing 12-month count is 100, down 38% from 160 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 September 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 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.”
South Chicago
101 incidents over the past 12 months — 1 above Lake View's 100.
Open page →Belmont Cragin
98 incidents over the past 12 months — 2 below Lake View's 100.
Open page →New City
104 incidents over the past 12 months — 4 above Lake View's 100.
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.