DROP · ROBBERYSEPTEMBER 2026 BRIEFINGDENVER · 32.5K residents

Montbello Crime Rate Trends — Denver

Montbello is a far-northeast residential neighborhood east of Central Park and south of Green Valley Ranch, developed primarily in the 1960s and 1970s. Predominantly single-family suburban residential with Montbello Open Space Park and the namesake Montbello High School at its core.

ROBBERY · 24-MO COUNT09 2026 · 1
03712-mo avg: 1.8
MONTBELLOCITYWIDE TREND (RESCALED)-10% 12MO YOY
—MoM
-21%12mo YoY
22last 12mo
1this month
01 · TL;DR

Six categories moved in Montbello this September, all of them downward. Four ran below trend in a single-month drop pattern; two registered as sustained structural shifts, meaning the change isn't confined to this month but reflects a multi-month repositioning. The overall shape is a broad, coordinated decline across property and violent crime alike.

Robbery is the strongest signal, with 22 incidents in the trailing 12 months against 28 in the year before, down 21.4%. Theft from vehicle has dropped further in percentage terms, 164 incidents vs. 222 prior, a 26.1% reduction over the same window. Vandalism also ran below trend this month, contributing to a pattern where the cleaner, structural declines sit alongside the sharper one-month moves. Aggravated assault and other larceny are the exceptions, both up year-over-year (10.0% and 19.8% respectively), but neither crossed the anomaly threshold this month.

4 drops2 sustained shifts
02 · Notable signals

Notable signals 4

DROP · ROBBERY

Robbery

The past 12 months saw 22 incidents — about 53% below the 47 average from prior years.

DROP · THEFT FROM VEHICLE

Theft from Vehicle

The past 12 months saw 164 incidents — about 42% below the 282 average from prior years.

DROP · VANDALISM

Vandalism

The past 12 months saw 152 incidents — about 32% below the 225 average from prior years.

DROP · MOTOR VEHICLE THEFT

Motor Vehicle Theft

The past 12 months saw 146 incidents — about 66% below the 434 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-21%
2024-102026-09
Aggravated Assault+10%
2024-102026-09
Burglary-4%
2024-102026-09
Theft from Vehicle-26%
2024-102026-09
Other Larceny+20%
2024-102026-09
Motor Vehicle Theft-28%
2024-102026-09
Vandalism-6%
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 8 next month — likely between 1 and 13.
+33% vs 12-month average (≈5.7)

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 11 next month — likely between 0 and 29.
−8% vs 12-month average (≈12.2)

Other Larceny

OCTOBER 2026
Most likely 18 next month — likely between 11 and 24.
+11% vs 12-month average (≈16.2)

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

OCTOBER 2026
Most likely 14 next month — likely between 4 and 23.
+4% vs 12-month average (≈13.7)

Vandalism

OCTOBER 2026
Most likely 12 next month — likely between 4 and 20.
−5% vs 12-month average (≈12.7)
06 · Context & comps

How Montbello compares

Peer neighborhoods picked by closest 12-month robbery 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 robbery levels.”

07 · Patterns

Recurring local terms (last 12 months)

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

simpleweaponitemspartsforceorderdischargeunlawfulshopliftaggravatedresidenceinjurethreatsmenacingweapcourtbldgtrespassingbusinessfraudrestrainingpeacedisturbingdrugharassment
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
026051912am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
06011,201MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0379758JanFebMarAprMayJunJulAugSepOctNovDec
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.