DROP · AGGRAVATED ASSAULTJUNE 2026 BRIEFINGDENVER · 5.9K residents

Goldsmith Crime Rate Trends — Denver

Goldsmith is a southeast Denver neighborhood between Hampden Avenue and Yale Avenue, west of Interstate 25. Predominantly mid-century single-family residential, with the Denver Tech Center office cluster immediately to the south.

AGGRAVATED ASSAULT · 24-MO COUNT06 2026 · 4
03712-mo avg: 1.6
GOLDSMITHCITYWIDE TREND (RESCALED)-5% 12MO YOY
+100%MoM
-39%12mo YoY
19last 12mo
4this month
01 · TL;DR

June 2026 produced a single signal in Goldsmith: one category moved, and it moved downward. Aggravated assault is the lone tracked signal this month, with everything else — robbery, burglary, theft from vehicle, other larceny, motor vehicle theft, vandalism — within range and generating no anomalies.

Aggravated assault's 12-month total stands at 19 incidents, down from 31 in the prior 12 months, a 38.7% decline against a baseline that had been running closer to 28 incidents annually. The drop is the dominant story because it's the only story; the remaining categories are quiet, though several of them — vandalism up 35.1%, other larceny up 33.3%, robbery up 44.4% over their prior 12-month totals — bear watching in coming briefings even without crossing an anomaly threshold this month.

1 drop
02 · Notable signals

Notable signals 1

DROP · AGGRAVATED ASSAULT

Aggravated Assault

The past 12 months saw 19 incidents — about 33% below the 28 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
2024-072026-06
Robbery+44%
2024-072026-06
Aggravated Assault-39%
2024-072026-06
Burglary-10%
2024-072026-06
Theft from Vehicle+16%
2024-072026-06
Other Larceny+33%
2024-072026-06
Motor Vehicle Theft-11%
2024-072026-06
Vandalism+35%
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 2 next month — likely between 0 and 5.
50% vs 12-month average (≈3.1)

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

JULY 2026
Most likely 0 next month — likely between 0 and 6.
100% vs 12-month average (≈4.0)

Other Larceny

JULY 2026
Most likely 6 next month — likely between 2 and 9.
1% vs 12-month average (≈5.7)

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 2 next month — likely between 0 and 8.
65% vs 12-month average (≈5.4)

Vandalism

JULY 2026
Most likely 6 next month — likely between 1 and 10.
13% vs 12-month average (≈6.4)
06 · Context & comps

How Goldsmith compares

Peer neighborhoods picked by closest 12-month aggravated assault 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 aggravated assault levels.”

07 · Patterns

Recurring local terms (last 12 months)

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

itemssimplepartsforcebldginjureorderresidencethreatsdrugpeacetrespassingbusinesscourtdisturbingfraudmenacingweapharassmentweaponshopliftstreetunauthdischargetelephone
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
09519012am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0215429MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0139277JanFebMarAprMayJunJulAugSepOctNovDec
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.