SPIKE · OTHER LARCENYSEPTEMBER 2026 BRIEFINGDENVER · 3.8K residents

Chaffee Park Crime Rate Trends — Denver

Chaffee Park is a small northwest neighborhood between Federal Boulevard and Pecos Street, just south of Interstate 70. Predominantly mid-century residential with the Regis University campus immediately to the west across Federal.

OTHER LARCENY · 24-MO COUNT09 2026 · 2
051012-mo avg: 3.2
CHAFFEE PARKCITYWIDE TREND (RESCALED)+5% 12MO YOY
-50%MoM
+12%12mo YoY
38last 12mo
2this month
01 · TL;DR

Four categories moved in Chaffee Park this September, a mix of two below-trend drops, one spike, and one sustained structural shift. The overall lean is downward across property crime, with motor vehicle theft and vandalism both running below their recent pace, but other larceny cuts against that pattern with an above-trend signal.

Vandalism is down 56.2% over the trailing 12 months, 7 incidents against 16 in the prior year. Motor vehicle theft tells a similar story, falling 54.0% year-over-year, 23 incidents against 50. Other larceny is the outlier: 38 incidents in the current 12 months against 34 in the prior year, an 11.8% rise, and the strongest single signal this briefing.

1 spike2 drops1 sustained shift
02 · Notable signals

Notable signals 3

SPIKE · OTHER LARCENY

Other Larceny

The past 12 months saw 38 incidents — about 36% above the 28 average from prior years.

DROP · VANDALISM

Vandalism

The past 12 months saw 7 incidents — about 78% below the 32 average from prior years.

DROP · MOTOR VEHICLE THEFT

Motor Vehicle Theft

The past 12 months saw 23 incidents — about 60% below the 58 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
2024-102026-09
Robberybelow threshold
2024-102026-09
Aggravated Assault-7%
2024-102026-09
Burglary-19%
2024-102026-09
Theft from Vehicle-10%
2024-102026-09
Other Larceny+12%
2024-102026-09
Motor Vehicle Theft-54%
2024-102026-09
Vandalismbelow threshold
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

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

OCTOBER 2026
Most likely 3 next month — likely between 0 and 6.

Other Larceny

OCTOBER 2026
Most likely 3 next month — likely between 0 and 5.
−17% vs 12-month average (≈3.2)

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.
−12% vs 12-month average (≈3.2)

Vandalism

NO FORECAST

Below the volume threshold for a reliable forecast — too few incidents in recent months to project from.

06 · Context & comps

How Chaffee Park 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.”

SPATIAL SPILLOVER · NEW

Do crime spikes here spill over to adjacent neighborhoods?

Chaffee Parkdoesn'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.

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

Each row shows Chaffee Park's historical spike events for that category, and how often any of its 4 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 Chaffee Park, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

drugitemsweaponforcepartsordersimpleresidencecourtaggravatedbldgposspossesscarryingmethampetamineoffenderparaphernaliapowpoprevbicyclebusinessconcealedmenacingtrespassingweap
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
0438612am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0104208MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
070140JanFebMarAprMayJunJulAugSepOctNovDec
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.