SPIKE · OTHER LARCENYAUGUST 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 COUNT08 2026 · 4
051012-mo avg: 3.2
CHAFFEE PARKCITYWIDE TREND (RESCALED)+5% 12MO YOY
0%MoM
+15%12mo YoY
38last 12mo
4this month
01 · TL;DR

Three categories moved in Chaffee Park this August, a narrow month by recent standards. Two ran below trend, vandalism and motor vehicle theft, while other larceny registered a one-month spike, pulling the overall signal mix in opposite directions.

Vandalism is down 60.0% over the trailing 12 months, 8 incidents against 20 in the prior year, and motor vehicle theft has followed a similar arc, falling 45.7% to 25 from 46. Against those sustained declines, other larceny is the month's sharpest signal: 38 incidents over the current 12-month window, up from 33 in the year before, and running above its multi-year pace. Theft from vehicle and the remaining categories were within their usual ranges.

1 spike2 drops
02 · Notable signals

Notable signals 3

SPIKE · OTHER LARCENY

Other Larceny

The past 12 months saw 38 incidents — about 37% above the 28 average from prior years.

DROP · VANDALISM

Vandalism

The past 12 months saw 8 incidents — about 76% below the 33 average from prior years.

DROP · MOTOR VEHICLE THEFT

Motor Vehicle Theft

The past 12 months saw 25 incidents — about 57% 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
2024-092026-08
Robberybelow threshold
2024-092026-08
Aggravated Assault-13%
2024-092026-08
Burglary-46%
2024-092026-08
Theft from Vehicle+5%
2024-092026-08
Other Larceny+15%
2024-092026-08
Motor Vehicle Theft-46%
2024-092026-08
Vandalismbelow threshold
2024-092026-08
Arsonbelow threshold
2024-092026-08
05 · Forecast

What next month likely looks like

Forecasts trained through August 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

SEPTEMBER 2026
Most likely 3 next month — likely between 0 and 6.
+32% vs 12-month average (≈2.1)

Other Larceny

SEPTEMBER 2026
Most likely 3 next month — likely between 1 and 6.
+1% 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

SEPTEMBER 2026
Most likely 3 next month — likely between 0 and 7.
22% vs 12-month average (≈3.5)

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 larceny1— 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.

itemsdrugweaponpartsforcesimpleorderresidencecourtbldgpossessaggravatedbicyclemethampetamineparaphernaliaposstrespassingcarryingfirefraudmenacingoffenderpowpoprevweap
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
0428512am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0102205MonTueWedThuFriSatSun
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.