SUSTAINED DROP · OTHER LARCENYSEPTEMBER 2026 BRIEFINGDENVER · 4.1K residents

Clayton Crime Rate Trends — Denver

Clayton is a small northeast neighborhood east of Five Points and Whittier, organized around East 32nd Avenue and York Street. Predominantly early-20th-century working-class residential with a mix of bungalows and modest two-story homes.

OTHER LARCENY · 24-MO COUNT09 2026 · 9
0132512-mo avg: 4.2
CLAYTONCITYWIDE TREND (RESCALED)+5% 12MO YOY
+200%MoM
-52%12mo YoY
50last 12mo
9this month
01 · TL;DR

September 2026 produced a single structural signal in Clayton: one sustained shift, nothing else crossing the anomaly threshold. The shape of the month is narrow but consequential, a multi-year downward trend in other larceny rather than a one-month outlier.

Other larceny is down 51.5% against the prior 12 months, 50 incidents in the current window versus 103 in the year before. That kind of sustained halving points to a structural change in the category, not monthly noise. Robbery and burglary are also running well below prior-year levels, down 57.1% and 30.8% respectively, though neither crossed the anomaly threshold this month. Aggravated assault moved in the opposite direction, up 50.0% year over year, 30 incidents against 20, and theft from vehicle edged up 18.2%, categories to watch heading into October.

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+50%
2024-102026-09
Burglary-31%
2024-102026-09
Theft from Vehicle+18%
2024-102026-09
Other Larceny-52%
2024-102026-09
Motor Vehicle Theft-29%
2024-102026-09
Vandalism-10%
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 3 next month — likely between 0 and 6.
+12% 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

OCTOBER 2026
Most likely 0 next month — likely between 0 and 4.
−92% vs 12-month average (≈2.1)

Other Larceny

OCTOBER 2026
Most likely 9 next month — likely between 3 and 15.
+117% vs 12-month average (≈4.2)

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 3 next month — likely between 0 and 7.
+0% vs 12-month average (≈3.3)

Vandalism

OCTOBER 2026
Most likely 4 next month — likely between 0 and 7.
−0% vs 12-month average (≈3.7)
06 · Context & comps

How Clayton compares

Peer neighborhoods picked by closest 12-month other larceny 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 other larceny levels.”

07 · Patterns

Recurring local terms (last 12 months)

Top terms in incident descriptions for Clayton, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

drugtrespassingweaponposssimpleitemsparaphernaliaaggravatedforcedischargeunlawfulpoliceinjurethreatscocainepartssellorderfraudresidenceinterferencemenacingweapdisturbingpeace
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
06012012am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0137274MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
089177JanFebMarAprMayJunJulAugSepOctNovDec
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.