Union Station Crime Rate Trends — Denver
Union Station is the small downtown neighborhood organized around the historic Union Station train hall and the surrounding mid-rise mixed-use development north of Wewatta Street. New high-density residential, hotels, and office towers built on what was previously the railyard during the past 15 years.
September 2026 produced a single structural signal in Union Station: theft from vehicle is running well below its prior-year pace, and the data classifies this as a sustained shift rather than a one-month dip. Every other tracked category came in within range this month.
Theft from vehicle is down 40.2% against the prior 12 months, 104 incidents versus 174 in the year before, a gap that has persisted long enough to register as a multi-year structural change rather than noise. Burglary moved in the opposite direction, up 38.2% year-over-year (76 incidents vs. 55), though that move did not cross the signal threshold this month. Motor vehicle theft also continued lower, off 31.0% on the trailing 12 months, reinforcing a broadly mixed picture where vehicle-related property crime is falling even as other categories hold flat or edge upward.
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.
- Theft from Vehicle has reset to a lower baseline.
The trailing 12-month count is 104, down 40% from 174 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.
Theft from Vehicle
Vandalism
How Union Station compares
Peer neighborhoods picked by closest 12-month theft from vehicle 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 theft from vehicle levels.”
Westwood
105 incidents over the past 12 months — 1 above Union Station's 104.
Open page →Civic Center
106 incidents over the past 12 months — 2 above Union Station's 104.
Open page →Globeville
101 incidents over the past 12 months — 3 below Union Station's 104.
Open page →Recurring local terms (last 12 months)
Top terms in incident descriptions for Union Station, 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 Denver Open Data — DPD's NIBRS-coded crime offenses on ArcGIS Hub — mapped to 9 NIBRS-aligned categories (sexual assault is excluded because DPD redacts victim-bearing rows from the public feed). The feed publishes a 5-year rolling window so the analysis baseline starts at 2021-01. Aggregated to statistical neighborhood × 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.