DROP · VANDALISMAPRIL 2026 BRIEFINGDENVER · 31.6K residents

Central Park Crime Rate Trends — Denver

Central Park is a master-planned mixed-use neighborhood in northeast Denver, built on the footprint of the former Stapleton airport (the airport closed in 1995 and the neighborhood was originally named Stapleton; the name was changed to Central Park in 2020). Today it's a New Urbanist development of single-family homes, townhouses, and walkable town-center retail along East 29th Avenue.

VANDALISM · 24-MO COUNT04 2026 · 21
0204012-mo avg: 23.5
CENTRAL PARKCITYWIDE TREND (RESCALED)-4% 12MO YOY
+31%MoM
-6%12mo YoY
282last 12mo
21this month
01 · TL;DR

Four categories moved in Central Park this April — three one-month below-trend signals and one sustained structural shift. The direction is broadly downward across property and violent crime, with motor vehicle theft, burglary, and robbery all running below recent baselines and no fresh spikes in the mix.

Vandalism leads the below-trend signals: the current 12-month total is 282 incidents against a baseline of 421.68, a gap that reflects a material departure from recent norms. Robbery is down 19.3% year-over-year (46 incidents vs. 57), and motor vehicle theft is down 38.2% (225 vs. 364). Aggravated assault is the one counter-move — up 14.5% over the prior 12 months — but it did not cross the signal threshold this period.

3 drops1 sustained shift
02 · Notable signals

Notable signals 3

DROP · VANDALISM

Vandalism

The past 12 months saw 282 incidents — about 33% below the 422 average from prior years.

DROP · ROBBERY

Robbery

The past 12 months saw 46 incidents — about 31% below the 67 average from prior years.

DROP · MOTOR VEHICLE THEFT

Motor Vehicle Theft

The past 12 months saw 225 incidents — about 69% below the 724 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
2024-052026-04
Robbery-19%
2024-052026-04
Aggravated Assault+15%
2024-052026-04
Burglary-21%
2024-052026-04
Theft from Vehicle-4%
2024-052026-04
Other Larceny+5%
2024-052026-04
Motor Vehicle Theft-38%
2024-052026-04
Vandalism-6%
2024-052026-04
Arsonbelow threshold
2024-052026-04
05 · Forecast

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

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

MAY 2026
Most likely 17 next month — likely between 8 and 27.
+5% vs 12-month average (≈16.5)

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

MAY 2026
Most likely 16 next month — likely between 0 and 46.
13% vs 12-month average (≈18.8)

Other Larceny

MAY 2026
Most likely 121 next month — likely between 94 and 145.
+1% vs 12-month average (≈118.9)

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

MAY 2026
Most likely 20 next month — likely between 0 and 39.
24% vs 12-month average (≈26.7)

Vandalism

MAY 2026
Most likely 25 next month — likely between 9 and 40.
+7% vs 12-month average (≈23.5)
06 · Context & comps

How Central 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.”

SPATIAL SPILLOVER · NEW

Do crime spikes here spill over to adjacent neighborhoods?

When Central Park has spiked other larceny historically (14 events on record), an adjacent neighborhood spiked the same category within 3 months 92.9% of the time. The strongest-travelling categories sit at the top of the table.

Central Park historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Other larceny1492.9%

Each row shows Central Park's historical spike events for that category, and how often any of its 5 adjacent neighborhoods spiked the same category within the next 3 months. A high same-category rate suggests a shock that travels (e.g. theft crews moving across Denver); a low rate means spikes here tend to be local to the neighborhood. Categories with fewer than 5 historical spike events are listed but their rates are suppressed.

07 · Patterns

Recurring local terms (last 12 months)

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

shopliftdrugitemsforcetrespassingpartssimplebusinessbicyclebldgresidenceorderweaponpolicepossaggravatedfraudinjureparaphernaliathreatsdisturbingpeacemenacingweapservices
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
06281,25512am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
01,3662,732MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
08121,625JanFebMarAprMayJunJulAugSepOctNovDec
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.