DENVER · 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.

OTHER LARCENY · 24-MO COUNT09 2026 · 6
061212-mo avg: 6.0
GOLDSMITHCITYWIDE TREND (RESCALED)+5% 12MO YOY
+20%MoM
+53%12mo YoY
72last 12mo
6this month
01 · TL;DR

September 2026 was a quiet month for Goldsmith. No tracked category crossed an anomaly threshold, and the month produced no spikes, drops, sustained shifts, or rare-event signals worth separating from background noise.

The 12-month picture is more varied. Other larceny is up 53.2% against the prior year, 72 incidents vs 47, and vandalism is up 39.2%, 71 vs 51. Aggravated assault moved in the opposite direction, down 41.4% over the same window, 17 incidents vs 29. Theft from vehicle is also down 15.6%, 54 vs 64. Robbery ticked up to 11 from 8, a 37.5% rise on small absolute counts. Burglary and motor vehicle theft were each within a few percent of prior-year levels. None of those year-over-year shifts triggered a signal this month, meaning the moves are gradual rather than acute.

No signals this month
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
Robbery+38%
2024-102026-09
Aggravated Assault-41%
2024-102026-09
Burglary-8%
2024-102026-09
Theft from Vehicle-16%
2024-102026-09
Other Larceny+53%
2024-102026-09
Motor Vehicle Theft-4%
2024-102026-09
Vandalism+39%
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 4 next month — likely between 1 and 7.
+32% vs 12-month average (≈2.9)

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 7.
−96% vs 12-month average (≈4.2)

Other Larceny

OCTOBER 2026
Most likely 5 next month — likely between 1 and 8.
−18% vs 12-month average (≈6.0)

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 2 next month — likely between 0 and 9.
−49% vs 12-month average (≈4.5)

Vandalism

OCTOBER 2026
Most likely 4 next month — likely between 0 and 8.
−37% vs 12-month average (≈5.9)
06 · Context & comps

How Goldsmith 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 Goldsmith, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

simpleitemsdrugforcepartsinjureorderthreatsbldgdisturbingpeaceresidencetrespassingweaponbusinesscourtfraudmenacingweapdischargeharassmentstreetunlawfulrestrainingaggravated
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
09719412am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0221442MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0138276JanFebMarAprMayJunJulAugSepOctNovDec
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.