DROP · MOTOR VEHICLE THEFTAPRIL 2026 BRIEFINGDENVER · 14.1K residents

Windsor Crime Rate Trends — Denver

Windsor is a small east Denver neighborhood organized around East 1st Avenue between Yosemite Street and Quebec Street. Predominantly mid-century single-family residential with the namesake Windsor Gardens condominium complex (a large age-55+ community) on its eastern edge.

MOTOR VEHICLE THEFT · 24-MO COUNT04 2026 · 4
0142812-mo avg: 6.7
WINDSORCITYWIDE TREND (RESCALED)-34% 12MO YOY
-43%MoM
-43%12mo YoY
80last 12mo
4this month
01 · TL;DR

Windsor had four signals in April 2026 — three below-trend drops and one sustained structural shift. The movement is concentrated in property crime, and it runs in the same direction across every category that moved.

Motor vehicle theft leads the month: the trailing 12-month total is 80, down 42.9% against the prior year's 140. Theft from vehicle and vandalism also registered below-trend signals, at 67 incidents (down 27.2%) and 71 incidents (down 16.5%) respectively. The one sustained-shift signal suggests at least part of this isn't a single quiet month — it reflects a structural change that predates April.

3 drops1 sustained shift
02 · Notable signals

Notable signals 3

DROP · MOTOR VEHICLE THEFT

Motor Vehicle Theft

The past 12 months saw 80 incidents — about 65% below the 226 average from prior years.

DROP · THEFT FROM VEHICLE

Theft from Vehicle

The past 12 months saw 67 incidents — about 53% below the 143 average from prior years.

DROP · VANDALISM

Vandalism

The past 12 months saw 71 incidents — about 35% below the 109 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+14%
2024-052026-04
Aggravated Assault-13%
2024-052026-04
Burglary-14%
2024-052026-04
Theft from Vehicle-27%
2024-052026-04
Other Larceny-20%
2024-052026-04
Motor Vehicle Theft-43%
2024-052026-04
Vandalism-17%
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 5 next month — likely between 0 and 10.
+17% vs 12-month average (≈4.5)

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 3 next month — likely between 0 and 11.
54% vs 12-month average (≈6.7)

Other Larceny

MAY 2026
Most likely 7 next month — likely between 1 and 13.
9% vs 12-month average (≈7.9)

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 5 next month — likely between 0 and 11.
3% vs 12-month average (≈5.6)

Vandalism

MAY 2026
Most likely 6 next month — likely between 1 and 11.
+5% vs 12-month average (≈5.9)
06 · Context & comps

How Windsor 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.”

SPATIAL SPILLOVER · NEW

Do crime spikes here spill over to adjacent neighborhoods?

When Windsor has spiked other larceny historically (9 events on record), an adjacent neighborhood spiked the same category within 3 months 44.4% of the time. The strongest-travelling categories sit at the top of the table.

Windsor historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Other larceny944.4%

Each row shows Windsor's historical spike events for that category, and how often any of its 2 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 Windsor, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

forcefrauditemspartsbldgresidencesimpleordertelephoneinjurethreatsbusinesstrespassingweaponaggravatedcomputerrestrainingshopliftcourtdrugmenacingweapdischargeunlawfulstreet
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
012024012am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0270539MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0191382JanFebMarAprMayJunJulAugSepOctNovDec
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.