DROP · MOTOR VEHICLE THEFTAPRIL 2026 BRIEFINGDENVER · 6.4K residents

Montclair Crime Rate Trends — Denver

Montclair is an east-central residential neighborhood between Colorado Boulevard and Quebec Street, organized around East 6th Avenue and the historic Molkery building. A walkable grid of bungalows, pre-war four-square homes, and mid-century ranches under mature tree canopy.

MOTOR VEHICLE THEFT · 24-MO COUNT04 2026 · 1
03712-mo avg: 1.7
MONTCLAIRCITYWIDE TREND (RESCALED)-34% 12MO YOY
0%MoM
-44%12mo YoY
20last 12mo
1this month
01 · TL;DR

Three categories moved in Montclair this April — one single-month below-trend signal and two structural, multi-month shifts. The overall shape is a broad, sustained reduction in property crime across the neighborhood, with the longer-term changes carrying more weight than any single-month reading.

Motor vehicle theft is the month's sharpest one-month move, running well below its baseline with a current 12-month total of 20 against a multi-year baseline mean of 62.76. Behind that, burglary and other larceny are both registered sustained shifts downward — burglary at 24 incidents over the past 12 months against 67 in the prior year (down 64.2%), and other larceny at 123 vs. 257 (down 52.1%). Everything else in Montclair this month fell within normal range.

1 drop2 sustained shifts
02 · Notable signals

Notable signals 1

DROP · MOTOR VEHICLE THEFT

Motor Vehicle Theft

The past 12 months saw 20 incidents — about 68% 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
2024-052026-04
Robbery-50%
2024-052026-04
Aggravated Assault-33%
2024-052026-04
Burglary-64%
2024-052026-04
Theft from Vehicle-20%
2024-052026-04
Other Larceny-52%
2024-052026-04
Motor Vehicle Theft-44%
2024-052026-04
Vandalism-14%
2024-052026-04
Arsonbelow threshold
2024-052026-04
05 · Forecast

What next month likely looks like

Forecasts trained through April 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

MAY 2026
Most likely 4 next month — likely between 0 and 7.
+98% vs 12-month average (≈2.0)

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

MAY 2026
Most likely 0 next month — likely between 0 and 3.

Other Larceny

MAY 2026
Most likely 20 next month — likely between 7 and 35.
+99% vs 12-month average (≈10.3)

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

MAY 2026
Most likely 2 next month — likely between 0 and 5.
52% vs 12-month average (≈3.3)

Vandalism

MAY 2026
Most likely 6 next month — likely between 2 and 10.
+62% vs 12-month average (≈3.7)
06 · Context & comps

How Montclair compares

Peer neighborhoods picked by closest 12-month motor vehicle theft 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 motor vehicle theft levels.”

SPATIAL SPILLOVER · NEW

Do crime spikes here spill over to adjacent neighborhoods?

When Montclair has spiked other larceny historically (8 events on record), an adjacent neighborhood spiked the same category within 3 months 100% of the time. The strongest-travelling categories sit at the top of the table.

Montclair historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Other larceny8100%
Burglary3— too few
Robbery1— too few

Each row shows Montclair'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 Montclair, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

shopliftforceitemsbusinesssimplepartsorderdrugweaponresidencetrespassingcourtaggravatedpossbicycleinjurepolicestreetthreatsbldgdischargefraudharassmentillegalmenacing
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
07314612am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0192384MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0118235JanFebMarAprMayJunJulAugSepOctNovDec
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.