DROP · MOTOR VEHICLE THEFTJUNE 2026 BRIEFINGDENVER · 9.0K residents

Cheesman Park Crime Rate Trends — Denver

Cheesman Park is the dense residential neighborhood surrounding the eponymous park, just east of Capitol Hill. Pre-war high-rise apartment buildings line the park's edges; the side streets are a mix of Victorians, bungalows, and four-story walk-ups.

MOTOR VEHICLE THEFT · 24-MO COUNT06 2026 · 5
091712-mo avg: 4.6
CHEESMAN PARKCITYWIDE TREND (RESCALED)-32% 12MO YOY
+67%MoM
-34%12mo YoY
55last 12mo
5this month
01 · TL;DR

June 2026 produced a single tracked signal in Cheesman Park — motor vehicle theft running below its multi-year trend. One category moved; the rest of the portfolio stayed within range.

Motor vehicle theft is the standout: 55 incidents over the current 12 months against 83 in the prior year, a 33.7% decline. Other larceny is also down substantially — 126 vs. 166, off 24.1% — though that category did not cross the anomaly threshold this month. Aggravated assault (22 vs. 25, −12.0%) and vandalism (101 vs. 113, −10.6%) continue a quieter downward drift, while robbery and burglary are both flat at 12 and 75 incidents respectively.

1 drop
02 · Notable signals

Notable signals 1

DROP · MOTOR VEHICLE THEFT

Motor Vehicle Theft

The past 12 months saw 55 incidents — about 53% below the 118 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
Robbery0%
2024-072026-06
Aggravated Assault-12%
2024-072026-06
Burglary0%
2024-072026-06
Theft from Vehicle-6%
2024-072026-06
Other Larceny-24%
2024-072026-06
Motor Vehicle Theft-34%
2024-072026-06
Vandalism-11%
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 6 next month — likely between 2 and 11.
+2% vs 12-month average (≈6.3)

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 5 next month — likely between 0 and 10.
1% vs 12-month average (≈4.6)

Other Larceny

JULY 2026
Most likely 13 next month — likely between 8 and 19.
+25% vs 12-month average (≈10.5)

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 11 next month — likely between 5 and 17.
+0% vs 12-month average (≈11.3)

Vandalism

JULY 2026
Most likely 9 next month — likely between 1 and 16.
+3% vs 12-month average (≈8.4)
06 · Context & comps

How Cheesman Park 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.”

07 · Patterns

Recurring local terms (last 12 months)

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

itemsforcedrugresidencepartssimpleorderbldgbicycleinjurethreatstrespassingposscrimesdisturbingpeaceaggravatedcourtfraudweaponparaphernaliabusinessshoplifttelephonepolice
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
011823512am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0272545MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0166332JanFebMarAprMayJunJulAugSepOctNovDec
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.