SPIKE · OTHER LARCENYSEPTEMBER 2026 BRIEFINGDENVER · 10.2K residents

East Colfax Crime Rate Trends — Denver

East Colfax is a far-east residential neighborhood organized along the East Colfax Avenue commercial corridor, between Monaco Parkway and Yosemite Street at the Aurora city line. The Colfax strip carries motels, small restaurants, and a long-running mix of independent retail; the surrounding side streets are mid-century single-family residential.

OTHER LARCENY · 24-MO COUNT09 2026 · 27
0163112-mo avg: 15.4
EAST COLFAXCITYWIDE TREND (RESCALED)+5% 12MO YOY
+17%MoM
+30%12mo YoY
185last 12mo
27this month
01 · TL;DR

Three categories moved in East Colfax this September, one spike, one single-month drop, and one sustained structural shift, and they pull in opposite directions. Other larceny jumped well above its recent trend in a one-month spike, while motor vehicle theft registered both a below-trend single-month signal and a multi-year sustained shift downward, pointing to a structural change, not just a quiet month.

Other larceny is running at 185 incidents over the trailing 12 months against 142 in the prior year, a 30.3% rise that makes the spike reading plausible. Motor vehicle theft, by contrast, has fallen from 132 to 89 over the same window, down 32.6%, a move large enough to show up as a sustained shift rather than noise. Robbery and burglary also declined year-over-year, down 22.9% and 29.8% respectively, though neither crossed the signal threshold this month.

1 spike1 drop1 sustained shift
02 · Notable signals

Notable signals 2

SPIKE · OTHER LARCENY

Other Larceny

The past 12 months saw 185 incidents — about 68% above the 110 average from prior years.

DROP · MOTOR VEHICLE THEFT

Motor Vehicle Theft

The past 12 months saw 89 incidents — about 62% below the 232 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
Robbery-23%
2024-102026-09
Aggravated Assault-8%
2024-102026-09
Burglary-30%
2024-102026-09
Theft from Vehicle+4%
2024-102026-09
Other Larceny+30%
2024-102026-09
Motor Vehicle Theft-33%
2024-102026-09
Vandalism+4%
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 6 next month — likely between 1 and 11.
−15% vs 12-month average (≈7.1)

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

OCTOBER 2026
Most likely 8 next month — likely between 0 and 17.
+2% vs 12-month average (≈7.4)

Other Larceny

OCTOBER 2026
Most likely 13 next month — likely between 6 and 20.
−17% vs 12-month average (≈15.4)

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 9.
−56% vs 12-month average (≈6.5)

Vandalism

OCTOBER 2026
Most likely 8 next month — likely between 1 and 15.
−19% vs 12-month average (≈10.2)
06 · Context & comps

How East Colfax 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?

East Colfaxdoesn'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.

East Colfax 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 East Colfax's historical spike events for that category, and how often any of its 5 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 East Colfax, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

drugengagingprostitutionpossweaponorderparaphernaliaforcepoliceresidencesimpletrespassingcourtpeaceshopliftitemsaggravatedsellinjureinterferencethreatsunlawfuldischargemenacingweap
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
017334512am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0403806MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0265529JanFebMarAprMayJunJulAugSepOctNovDec
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.