DROP · MOTOR VEHICLE THEFTAPRIL 2026 BRIEFINGDENVER · 1.0K residents

Sun Valley Crime Rate Trends — Denver

Sun Valley is a small west-Denver neighborhood between Interstate 25 and Federal Boulevard, just south of Mile High Stadium (Empower Field). Predominantly working-class residential with a long history of public housing and now several large redevelopment projects, plus the stadium and the Decatur-Federal RTD station.

MOTOR VEHICLE THEFT · 24-MO COUNT04 2026 · 3
04812-mo avg: 2.3
SUN VALLEYCITYWIDE TREND (RESCALED)-34% 12MO YOY
+200%MoM
-48%12mo YoY
28last 12mo
3this month
01 · TL;DR

Three signals moved in Sun Valley this April — one single-month below-trend reading and two sustained structural shifts. The structural pattern points consistently downward: motor vehicle theft and other larceny are both running materially below their multi-year baselines, and the single-month drop in motor vehicle theft reinforces that the longer trend is real, not noise.

Motor vehicle theft is down 48.1% against the prior 12 months, 28 incidents versus 54 — well below the multi-year baseline of 54.37. Other larceny tells a similar story: 46 incidents in the current 12 months against 87 in the prior year, a 47.1% decrease, and classified as a sustained shift rather than a one-month dip. Aggravated assault has also pulled back sharply — down 46.2% year-over-year, 21 incidents versus 39 — though it sits outside the top three signals this month. Everything else, including robbery and theft from vehicle, was within its normal range.

1 drop2 sustained shifts
02 · Notable signals

Notable signals 1

DROP · MOTOR VEHICLE THEFT

Motor Vehicle Theft

The past 12 months saw 28 incidents — about 49% below the 54 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
Robbery0%
2024-052026-04
Aggravated Assault-46%
2024-052026-04
Burglary+19%
2024-052026-04
Theft from Vehicle+5%
2024-052026-04
Other Larceny-47%
2024-052026-04
Motor Vehicle Theft-48%
2024-052026-04
Vandalism-13%
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

MAY 2026
Most likely 2 next month — likely between 0 and 6.
+3% vs 12-month average (≈2.3)

Other Larceny

MAY 2026
Most likely 6 next month — likely between 1 and 10.
+48% vs 12-month average (≈3.8)

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 2 next month — likely between 0 and 5.
55% vs 12-month average (≈3.4)

Vandalism

MAY 2026
Most likely 4 next month — likely between 0 and 7.
17% vs 12-month average (≈4.6)
06 · Context & comps

How Sun Valley 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?

Sun Valleydoesn'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.

Sun Valley historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Other larceny2— too few
Vandalism2— too few
Robbery1— too few

Each row shows Sun Valley's historical spike events for that category, and how often any of its 9 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 Sun Valley, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

drugsimpletrespassingitemsorderweaponforcebldgbusinesspartsposssellstreetcrimesaggravatedparaphernaliainjurethreatscourtharassmentpeacepolicedischargedisturbingoffender
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
0489612am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0124248MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
079158JanFebMarAprMayJunJulAugSepOctNovDec
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.