DROP · VANDALISMJUNE 2026 BRIEFINGDENVER · 8.6K residents

University Park Crime Rate Trends — Denver

University Park is a small south-central neighborhood immediately east of the University of Denver campus, between Evans and Yale Avenues. A walkable grid of pre-war and mid-century homes anchored by the Old South Gaylord shopping district and Observatory Park (containing DU's historic Chamberlin Observatory).

VANDALISM · 24-MO COUNT06 2026 · 1
05912-mo avg: 2.8
UNIVERSITY PARKCITYWIDE TREND (RESCALED)-5% 12MO YOY
-86%MoM
-28%12mo YoY
33last 12mo
1this month
01 · TL;DR

University Park had a quiet June 2026 — one tracked signal across all monitored categories, a below-trend reading in vandalism. The rest of the month was within range.

Vandalism is the standout: 33 incidents over the current 12 months against 46 in the prior year, a 28.3% decline. Theft from vehicle is also running lower, down 19.1% year-over-year (55 vs. 68), and burglary and motor vehicle theft are both modestly down as well. The one counterweight is other larceny, up 16.7% over the same stretch — 105 incidents vs. 90 — though it did not cross the anomaly threshold this month.

1 drop
02 · Notable signals

Notable signals 1

DROP · VANDALISM

Vandalism

The past 12 months saw 33 incidents — about 56% below the 75 average from prior years.

03 · By category

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.

Homicidebelow threshold
2024-072026-06
Robberybelow threshold
2024-072026-06
Aggravated Assaultbelow threshold
2024-072026-06
Burglary-9%
2024-072026-06
Theft from Vehicle-19%
2024-072026-06
Other Larceny+17%
2024-072026-06
Motor Vehicle Theft-10%
2024-072026-06
Vandalism-28%
2024-072026-06
Arsonbelow threshold
2024-072026-06
05 · Forecast

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

NO FORECAST

Too low-volume per neighborhood for a reliable point forecast — see the rare-event and streak-break signals above instead.

Arson

NO FORECAST

Below the volume threshold for a reliable forecast — too few incidents in recent months to project from.

Burglary

JULY 2026
Most likely 2 next month — likely between 0 and 7.
27% vs 12-month average (≈3.3)

Homicide

NO FORECAST

Too low-volume per neighborhood for a reliable point forecast — see the rare-event and streak-break signals above instead.

Motor Vehicle Theft

JULY 2026
Most likely 3 next month — likely between 0 and 8.
+37% vs 12-month average (≈2.3)

Other Larceny

JULY 2026
Most likely 9 next month — likely between 2 and 15.
2% vs 12-month average (≈8.8)

Robbery

NO FORECAST

Too low-volume per neighborhood for a reliable point forecast — see the rare-event and streak-break signals above instead.

Theft from Vehicle

JULY 2026
Most likely 5 next month — likely between 0 and 13.
+4% vs 12-month average (≈4.6)

Vandalism

JULY 2026
Most likely 3 next month — likely between 0 and 8.
+13% vs 12-month average (≈2.8)
06 · Context & comps

How University Park 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.”

07 · Patterns

Recurring local terms (last 12 months)

Top terms in incident descriptions for University Park, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

itemsshopliftbicycleforceresidencebldgpartsfraudinjuresimplethreatstelephonetrespassingbusinessweapondisturbingdrugorderpeacerestrainingexposurefalseindecentinformationmails
When does it happen?

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.

HOUR OF DAY · ALL CATEGORIES
08216412am6am12pm6pm11pm

Hour 0 is mildly inflated by reports without a known time defaulting to midnight — see methodology.

DAY OF WEEK · ALL CATEGORIES
0201402MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0119238JanFebMarAprMayJunJulAugSepOctNovDec
08 · Methodology

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.