DROP · THEFT FROM VEHICLEAPRIL 2026 BRIEFINGDENVER · 3.8K residents

City Park Crime Rate Trends — Denver

City Park is the neighborhood inside Denver's signature 320-acre urban park, which contains the Denver Zoo and Denver Museum of Nature & Science. The neighborhood designation includes the park itself and the immediately adjacent residential blocks; resident population is concentrated in the apartment buildings along East 17th Avenue and Colorado Boulevard.

THEFT FROM VEHICLE · 24-MO COUNT04 2026 · 4
091812-mo avg: 4.0
CITY PARKCITYWIDE TREND (RESCALED)-10% 12MO YOY
0%MoM
-41%12mo YoY
48last 12mo
4this month
01 · TL;DR

April 2026 produced two signals in City Park, both centered on theft from vehicle: a single-month below-trend drop and a sustained structural shift pointing the same direction. The rest of the tracked categories — robbery, aggravated assault, burglary, other larceny, vandalism, and motor vehicle theft — were within range.

Theft from vehicle is the clearest story in the data. The trailing 12-month total stands at 48 incidents against 81 in the prior year, down 40.7% — and against a baseline 12-month mean of 86.78, that represents a substantial structural gap, not just a single quiet month. Motor vehicle theft shows a parallel move, down 46.2% over the same window (21 vs. 39). Aggravated assault is the one counter-trend: 16 incidents in the current 12 months against 11 prior, up 45.5%, though raw counts remain low.

1 drop1 sustained shift
02 · Notable signals

Notable signals 1

DROP · THEFT FROM VEHICLE

Theft from Vehicle

The past 12 months saw 48 incidents — about 45% below the 87 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
Robberybelow threshold
2024-052026-04
Aggravated Assault+46%
2024-052026-04
Burglary0%
2024-052026-04
Theft from Vehicle-41%
2024-052026-04
Other Larceny-13%
2024-052026-04
Motor Vehicle Theft-46%
2024-052026-04
Vandalism-20%
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 4 next month — likely between 1 and 7.
+23% vs 12-month average (≈2.9)

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 1 next month — likely between 0 and 4.

Other Larceny

MAY 2026
Most likely 6 next month — likely between 1 and 11.
3% vs 12-month average (≈6.6)

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 3 next month — likely between 0 and 8.
20% vs 12-month average (≈4.0)

Vandalism

MAY 2026
Most likely 7 next month — likely between 2 and 11.
+25% vs 12-month average (≈5.3)
06 · Context & comps

How City Park 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.”

SPATIAL SPILLOVER · NEW

Do crime spikes here spill over to adjacent neighborhoods?

City Parkdoesn't have enough spike history in any single category for a stable spillover rate yet (we want at least 5 events). The table below lists what we have.

City Park historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Other larceny3— too few

Each row shows City Park's historical spike events for that category, and how often any of its 8 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 City Park, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

itemsbicycleforcebusinesssimplebldgresidencepartstrespassingaggravateddrugmenacingweaporderpolicedisturbingfalsepeacerestrainingshopliftarsonfightingfraudinjureinterference
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
06112212am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0138276MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
096193JanFebMarAprMayJunJulAugSepOctNovDec
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.