DROP · MOTOR VEHICLE THEFTAPRIL 2026 BRIEFINGDENVER · 2.7K residents

Rosedale Crime Rate Trends — Denver

Rosedale is a small south-central Denver neighborhood between Broadway and Downing Street, just south of Evans Avenue. Predominantly mid-century single-family residential, bordered by the University of Denver campus immediately to the south.

MOTOR VEHICLE THEFT · 24-MO COUNT04 2026 · 0
02512-mo avg: 0.6
ROSEDALECITYWIDE TREND (RESCALED)-34% 12MO YOY
-100%MoM
-65%12mo YoY
7last 12mo
0this month
01 · TL;DR

April 2026 produced a single tracked signal in Rosedale — a below-trend drop in motor vehicle theft. The rest of the tracked categories either held steady or shifted across the 12-month window without crossing the anomaly threshold.

Motor vehicle theft is down 65.0% against the prior 12 months, 7 incidents vs. 20 in the year before. Burglary moved the other direction over that same window — up 92.3%, from 13 to 25 incidents — though it did not register as a one-month anomaly this period. Other larceny is also up 21.1% year-over-year, while theft from vehicle and vandalism are essentially flat.

1 drop
02 · Notable signals

Notable signals 1

DROP · MOTOR VEHICLE THEFT

Motor Vehicle Theft

The past 12 months saw 7 incidents — about 81% below the 37 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 Assaultbelow threshold
2024-052026-04
Burglary+92%
2024-052026-04
Theft from Vehicle-7%
2024-052026-04
Other Larceny+21%
2024-052026-04
Motor Vehicle Theftbelow threshold
2024-052026-04
Vandalism0%
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

NO FORECAST

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

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

NO FORECAST

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

Other Larceny

NO FORECAST

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

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 1 next month — likely between 0 and 4.
64% vs 12-month average (≈2.2)

Vandalism

NO FORECAST

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

06 · Context & comps

How Rosedale 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 Rosedale, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

forceitemssimplepartsresidenceaggravatedtrespassingbusinessbicyclebldginjureorderthreatsdisturbingdrugpeacefraudpolicesellcomputercrimesharassmentliquorrestrainingweapon
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
0275412am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
063127MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
04488JanFebMarAprMayJunJulAugSepOctNovDec
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.