SUSTAINED DROP · MOTOR VEHICLE THEFTSEPTEMBER 2026 BRIEFINGDENVER · 12.9K residents

Speer Crime Rate Trends — Denver

Speer is the long, narrow neighborhood organized around Speer Boulevard between Cherry Creek and West 7th Avenue. A mix of pre-war apartment buildings, post-war high-rise condos, and the Cherry Creek Trail running through Cherry Creek itself; one of Denver's densest residential neighborhoods by population.

MOTOR VEHICLE THEFT · 24-MO COUNT09 2026 · 2
091712-mo avg: 5.4
SPEERCITYWIDE TREND (RESCALED)-30% 12MO YOY
-50%MoM
-35%12mo YoY
65last 12mo
2this month
01 · TL;DR

September 2026 produced a single notable signal in Speer: a sustained structural shift in motor vehicle theft, not a one-month dip but a multi-month pattern now embedded in the trailing 12-month totals. Everything else across the seven tracked categories stayed within normal range.

Motor vehicle theft is down 35.0% against the prior 12 months, 65 incidents vs 100 in the year before, the clearest directional move in the neighborhood this period. Other larceny also fell meaningfully over the same window, down 16.4% (209 vs 250), and aggravated assault is 11.1% below its prior-year count. Theft from vehicle is the one category moving the other direction, up 9.3% year-over-year, though no single-month anomaly triggered there this briefing.

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
Robberybelow threshold
2024-102026-09
Aggravated Assault-11%
2024-102026-09
Burglary+1%
2024-102026-09
Theft from Vehicle+9%
2024-102026-09
Other Larceny-16%
2024-102026-09
Motor Vehicle Theft-35%
2024-102026-09
Vandalism-8%
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 10 next month — likely between 4 and 16.
+44% vs 12-month average (≈7.1)

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 9 next month — likely between 1 and 17.
+75% vs 12-month average (≈5.4)

Other Larceny

OCTOBER 2026
Most likely 25 next month — likely between 16 and 35.
+46% vs 12-month average (≈17.4)

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

OCTOBER 2026
Most likely 18 next month — likely between 8 and 28.
+4% vs 12-month average (≈17.7)

Vandalism

OCTOBER 2026
Most likely 11 next month — likely between 4 and 19.
−5% vs 12-month average (≈11.9)
06 · Context & comps

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

itemsdrugbicyclepartsforcepossparaphernaliabldgordertrespassingsimpleshopliftbusinessresidencecrimesinjurethreatsfraudpeacedisturbinggraffitiweaponaggravatedharassmentpolice
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
018236412am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0448897MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0311622JanFebMarAprMayJunJulAugSepOctNovDec
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.