DROP · BURGLARYAPRIL 2026 BRIEFINGDENVER · 14.1K residents

Virginia Village Crime Rate Trends — Denver

Virginia Village is a southeast Denver neighborhood between East Mississippi Avenue and East Florida Avenue, west of Interstate 25. Predominantly mid-century single-family residential with apartment-building corridors along South Holly and South Monaco.

BURGLARY · 24-MO COUNT04 2026 · 1
04812-mo avg: 2.3
VIRGINIA VILLAGECITYWIDE TREND (RESCALED)-18% 12MO YOY
-50%MoM
-53%12mo YoY
28last 12mo
1this month
01 · TL;DR

Four categories moved in Virginia Village this April — two one-month below-trend signals and two sustained structural shifts. The overall shape is downward, concentrated in property crime: burglary and motor vehicle theft are the clearest movers, with burglary showing up in both the drop and sustained-shift columns.

Burglary is the most consequential signal. The trailing 12-month total stands at 28 incidents against a prior-year count of 60 — down 53.3% — well below its multi-year baseline. Motor vehicle theft shows a parallel move: 55 incidents in the current 12 months against 118 the year before, a 53.4% reduction. Vandalism and other larceny are also running lower year-over-year (down 23.7% and 17.6%, respectively), while robbery and theft from vehicle were within a few percentage points of prior-year levels and did not register signals this month.

2 drops2 sustained shifts
02 · Notable signals

Notable signals 2

DROP · BURGLARY

Burglary

The past 12 months saw 28 incidents — about 65% below the 80 average from prior years.

DROP · MOTOR VEHICLE THEFT

Motor Vehicle Theft

The past 12 months saw 55 incidents — about 70% below the 184 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+6%
2024-052026-04
Burglary-53%
2024-052026-04
Theft from Vehicle+6%
2024-052026-04
Other Larceny-18%
2024-052026-04
Motor Vehicle Theft-53%
2024-052026-04
Vandalism-24%
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 2 next month — likely between 0 and 6.
+4% vs 12-month average (≈2.3)

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 2 next month — likely between 0 and 8.
52% vs 12-month average (≈4.6)

Other Larceny

MAY 2026
Most likely 11 next month — likely between 3 and 18.
23% vs 12-month average (≈14.1)

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 7 next month — likely between 0 and 16.
25% vs 12-month average (≈9.1)

Vandalism

MAY 2026
Most likely 4 next month — likely between 0 and 10.
30% vs 12-month average (≈5.9)
06 · Context & comps

How Virginia Village compares

Peer neighborhoods picked by closest 12-month burglary 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 burglary levels.”

SPATIAL SPILLOVER · NEW

Do crime spikes here spill over to adjacent neighborhoods?

Virginia Villagedoesn'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.

Virginia Village 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 Virginia Village's historical spike events for that category, and how often any of its 6 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 Virginia Village, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

shopliftitemspartsordersimpleforcebldgdrugbusinessfraudcourtweaponresidencerestrainingtelephoneinjuremenacingthreatsweaptrespassingaggravatedharassmentpeacedischargedisturbing
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
012725312am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0312625MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0195391JanFebMarAprMayJunJulAugSepOctNovDec
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.