SUSTAINED DROP · MOTOR VEHICLE THEFTSEPTEMBER 2026 BRIEFINGDENVER · 17.7K residents

Hampden South Crime Rate Trends — Denver

Hampden South sits immediately south of Hampden, between Hampden Avenue and Belleview Avenue. A mix of mid-rise apartments, condominium complexes, and single-family residential, transitioning toward the Denver Tech Center as you move east.

MOTOR VEHICLE THEFT · 24-MO COUNT09 2026 · 4
0122312-mo avg: 4.0
HAMPDEN SOUTHCITYWIDE TREND (RESCALED)-30% 12MO YOY
+33%MoM
-52%12mo YoY
48last 12mo
4this month
01 · TL;DR

September 2026 produced a single notable signal in Hampden South: a sustained structural shift in motor vehicle theft, not a one-month dip but a multi-month pattern that has reshaped the trailing 12 months against the year before. Every other tracked category fell within its normal range.

Motor vehicle theft is down 51.5% across the trailing 12 months, 48 incidents against 99 in the prior year, the clearest multi-year move in the neighborhood's current data. Aggravated assault also runs well below recent norms, off 42.9% year-over-year (16 vs. 28), though that did not register as a sustained shift this period. Vandalism moved the other direction, up 44.9% over the same window (113 vs. 78), but likewise stayed outside the anomaly threshold this month.

1 sustained shift
02 · Notable signals

Notable signals 0

Nothing notable surfaced this month — every category sits within normal range against its baseline.

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
2024-102026-09
Robbery+89%
2024-102026-09
Aggravated Assault-43%
2024-102026-09
Burglary-8%
2024-102026-09
Theft from Vehicle+8%
2024-102026-09
Other Larceny-12%
2024-102026-09
Motor Vehicle Theft-52%
2024-102026-09
Vandalism+45%
2024-102026-09
Arsonbelow threshold
2024-102026-09
05 · Forecast

What next month likely looks like

Forecasts trained through September 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

OCTOBER 2026
Most likely 4 next month — likely between 0 and 7.
−4% vs 12-month average (≈3.9)

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

OCTOBER 2026
Most likely 0 next month — likely between 0 and 8.
−100% vs 12-month average (≈4.0)

Other Larceny

OCTOBER 2026
Most likely 16 next month — likely between 9 and 23.
+28% vs 12-month average (≈12.7)

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

OCTOBER 2026
Most likely 11 next month — likely between 1 and 21.
−11% vs 12-month average (≈12.4)

Vandalism

OCTOBER 2026
Most likely 5 next month — likely between 0 and 13.
−43% vs 12-month average (≈9.4)
06 · Context & comps

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

itemspartssimpledrugforceshopliftpeaceresidencedisturbingfraudorderbldginjurethreatstrespassingtelephonebicyclebusinesscourtsellweaponharassmentstreetaggravatedmenacing
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
016533012am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0420840MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0259518JanFebMarAprMayJunJulAugSepOctNovDec
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.