DROP · MOTOR VEHICLE THEFTAPRIL 2026 BRIEFINGDENVER · 14.3K residents

Washington Virginia Vale Crime Rate Trends — Denver

Washington Virginia Vale is a southeast Denver neighborhood between East Alameda and East Mississippi Avenue, organized around Cherry Creek (the natural creek, not the shopping district) and the bike trail. Predominantly mid-century single-family residential with apartment buildings along Leetsdale Drive.

MOTOR VEHICLE THEFT · 24-MO COUNT04 2026 · 5
0122312-mo avg: 5.7
WASHINGTON VIRGINIA VALECITYWIDE TREND (RESCALED)-34% 12MO YOY
-58%MoM
-54%12mo YoY
68last 12mo
5this month
01 · TL;DR

Three signals moved in Washington Virginia Vale this April — two one-month below-trend readings and one sustained structural shift. The shape is narrowly concentrated: motor vehicle theft and burglary account for all three, with motor vehicle theft appearing in both the single-month drop and the longer-term sustained shift.

Motor vehicle theft is the dominant story. The trailing 12-month total stands at 68 incidents against a multi-year baseline of 248.59 — a 54.1% reduction year-over-year from 148 to 68. Burglary is also running well below its prior pace, down 28.7% over the same window (72 incidents vs. 101). Other categories — theft from vehicle, vandalism, and aggravated assault — were within range this month.

2 drops1 sustained shift
02 · Notable signals

Notable signals 2

DROP · MOTOR VEHICLE THEFT

Motor Vehicle Theft

The past 12 months saw 68 incidents — about 73% below the 249 average from prior years.

DROP · BURGLARY

Burglary

The past 12 months saw 72 incidents — about 21% below the 91 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-29%
2024-052026-04
Aggravated Assault-14%
2024-052026-04
Burglary-29%
2024-052026-04
Theft from Vehicle+1%
2024-052026-04
Other Larceny+15%
2024-052026-04
Motor Vehicle Theft-54%
2024-052026-04
Vandalism+2%
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 9 next month — likely between 5 and 14.
+54% vs 12-month average (≈6.0)

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 7 next month — likely between 0 and 18.
+24% vs 12-month average (≈5.7)

Other Larceny

MAY 2026
Most likely 10 next month — likely between 5 and 16.
16% vs 12-month average (≈12.4)

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 8 next month — likely between 1 and 14.
9% vs 12-month average (≈8.8)

Vandalism

MAY 2026
Most likely 10 next month — likely between 3 and 17.
+8% vs 12-month average (≈9.2)
06 · Context & comps

How Washington Virginia Vale 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?

Washington Virginia Valedoesn'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.

Washington Virginia Vale historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Other larceny2— too few

Each row shows Washington Virginia Vale'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 Washington Virginia Vale, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

itemsforcesimpledrugpartsorderbusinessresidencefraudbldgmenacingweapweaponshopliftcourttrespassinginjurethreatsaggravatedpossrestrainingtelephonebicycledisturbingpeace
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
015029912am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0383767MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0223446JanFebMarAprMayJunJulAugSepOctNovDec
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.