SPIKE · OTHER LARCENYSEPTEMBER 2026 BRIEFINGDENVER · 9.3K residents

Hale Crime Rate Trends — Denver

Hale is a small east-central residential neighborhood between Colorado Boulevard and Monaco Parkway, just south of East Colfax. A walkable grid of pre-war and mid-century homes anchored by the historic 9th + Colorado mixed-use redevelopment on its southwest corner.

OTHER LARCENY · 24-MO COUNT09 2026 · 24
0142812-mo avg: 16.3
HALECITYWIDE TREND (RESCALED)+5% 12MO YOY
+4%MoM
+97%12mo YoY
195last 12mo
24this month
01 · TL;DR

Six categories moved in Hale in September 2026, and the mix is split: four of the six signals represent sustained multi-year structural shifts, one is a single-month spike, and one is a single-month drop. The dominant structural story is a broad property crime decline, but other larceny is running sharply against that grain.

Other larceny is the strongest single signal, with 195 incidents in the trailing 12 months against 99 in the prior year, a 97.0% increase. Burglary, by contrast, posted both a single-month below-trend reading and a sustained structural decline, down 44.4% year-over-year to 35 incidents from 63. Theft from vehicle, vandalism, and motor vehicle theft are all well below their prior-year totals as well, down 35.7%, 44.3%, and 34.4% respectively, reinforcing the structural downward trend across property crime categories while other larceny moves in the opposite direction.

1 spike1 drop4 sustained shifts
02 · Notable signals

Notable signals 2

SPIKE · OTHER LARCENY

Other Larceny

The past 12 months saw 195 incidents — about 105% above the 95 average from prior years.

DROP · BURGLARY

Burglary

The past 12 months saw 35 incidents — about 45% below the 63 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+12%
2024-102026-09
Burglary-44%
2024-102026-09
Theft from Vehicle-36%
2024-102026-09
Other Larceny+97%
2024-102026-09
Motor Vehicle Theft-34%
2024-102026-09
Vandalism-44%
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 7 next month — likely between 2 and 11.
+136% 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 4 next month — likely between 0 and 9.
+20% vs 12-month average (≈3.3)

Other Larceny

OCTOBER 2026
Most likely 12 next month — likely between 4 and 19.
−29% vs 12-month average (≈16.3)

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 5 next month — likely between 0 and 12.
−17% vs 12-month average (≈6.0)

Vandalism

OCTOBER 2026
Most likely 7 next month — likely between 0 and 16.
+35% vs 12-month average (≈5.3)
06 · Context & comps

How Hale 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?

Haledoesn'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.

Hale 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 Hale's historical spike events for that category, and how often any of its 6 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 Hale, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

shopliftitemstrespassingsimplebldgforcepartsorderbicyclefraudresidencebusinessdrugtelephoneaggravatedinjurethreatsmenacingweaprestrainingweaponcrimesdisturbingpeacecourt
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
010521012am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0267535MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0172343JanFebMarAprMayJunJulAugSepOctNovDec
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.