SUSTAINED DROP · OTHER LARCENYJUNE 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 COUNT06 2026 · 4
0132512-mo avg: 3.9
CLAYTONCITYWIDE TREND (RESCALED)+7% 12MO YOY
-50%MoM
-56%12mo YoY
47last 12mo
4this month
01 · TL;DR

Clayton's June 2026 briefing is defined by a single structural signal: other larceny has shifted downward at the 12-month level, not just a quiet week or two. The rest of the tracked categories — six of seven — generated no signals this month, which makes the overall picture relatively stable with one meaningful exception.

Other larceny is down 56.1% against the prior 12 months, 47 incidents vs. 107 in the year before — the largest proportional move across any category in Clayton's current data. Aggravated assault (up 33.3%, 28 vs. 21) and theft from vehicle (up 14.7%, 39 vs. 34) both rose on a 12-month basis but fell short of anomaly thresholds. Robbery and motor vehicle theft each declined — down 41.7% and 31.6% respectively — but neither crossed into signal territory this period.

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
2024-072026-06
Robberybelow threshold
2024-072026-06
Aggravated Assault+33%
2024-072026-06
Burglary-18%
2024-072026-06
Theft from Vehicle+15%
2024-072026-06
Other Larceny-56%
2024-072026-06
Motor Vehicle Theft-32%
2024-072026-06
Vandalism+9%
2024-072026-06
Arsonbelow threshold
2024-072026-06
05 · Forecast

What next month likely looks like

Forecasts trained through June 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

JULY 2026
Most likely 4 next month — likely between 1 and 8.
+68% vs 12-month average (≈2.6)

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

JULY 2026
Most likely 0 next month — likely between 0 and 4.
84% vs 12-month average (≈2.2)

Other Larceny

JULY 2026
Most likely 6 next month — likely between 0 and 12.
+42% vs 12-month average (≈3.9)

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

JULY 2026
Most likely 3 next month — likely between 0 and 7.
3% vs 12-month average (≈3.3)

Vandalism

JULY 2026
Most likely 5 next month — likely between 1 and 9.
+17% vs 12-month average (≈4.1)
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.

drugweapontrespassingpossitemsparaphernaliaforcesimpleaggravateddischargeunlawfulorderpoliceresidencepartsinjurethreatscourtoffenderpowpoprevbicyclebldgfraudinterference
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
05811712am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0135270MonTueWedThuFriSatSun
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.