SUSTAINED RISE · MOTOR VEHICLE THEFTJUNE 2026 BRIEFINGCHICAGO · 14.3K residents

Montclare Crime Rate Trends — Chicago

Montclare is a Northwest Side residential neighborhood on the Elmwood Park border, organized around Grand Avenue and the Metra Milwaukee District-West Line. Predominantly single-family bungalows on a quiet grid, named for an early-20th-century real-estate development.

MOTOR VEHICLE THEFT · 24-MO COUNT06 2026 · 2
091712-mo avg: 6.1
MONTCLARECITYWIDE TREND (RESCALED)-4% 12MO YOY
-60%MoM
+87%12mo YoY
73last 12mo
2this month
01 · TL;DR

June 2026 in Montclare is defined by two structural shifts, both running upward. This isn't a single noisy month — both signals are sustained, meaning the trailing 12-month period looks materially different from the 12 before it. The overall flag mix is narrow but pointed: two categories, two sustained increases, no drops or spikes to offset them.

Motor vehicle theft is the larger move, up 87.2% against the prior 12 months — 73 incidents vs. 39. Other larceny has also shifted structurally, 180 incidents over the current 12 months against 131 prior, a 37.4% increase. The remaining tracked categories — burglary down 45.8%, vandalism down 12.8%, aggravated assault up 19.0%, robbery flat — fell within range and did not cross the sustained-shift threshold this period.

2 sustained shifts
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
2024-072026-06
Robberybelow threshold
2024-072026-06
Aggravated Assault+19%
2024-072026-06
Sexual Assault+450%
2024-072026-06
Burglary-46%
2024-072026-06
Other Larceny+37%
2024-072026-06
Motor Vehicle Theft+87%
2024-072026-06
Vandalism-13%
2024-072026-06
Arsonbelow threshold
2024-072026-06
05 · Forecast

What next month likely looks like

Forecasts trained through June 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

NO FORECAST

Below the volume threshold for a reliable forecast — too few incidents in recent months to project from.

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

JULY 2026
Most likely 8 next month — likely between 1 and 14.
+23% vs 12-month average (≈6.1)

Other Larceny

JULY 2026
Most likely 16 next month — likely between 7 and 26.
+9% vs 12-month average (≈15.0)

Robbery

NO FORECAST

Too low-volume per neighborhood for a reliable point forecast — see the rare-event and streak-break signals above instead.

Sexual Assault

NO FORECAST

Too low-volume per neighborhood for a reliable point forecast — see the rare-event and streak-break signals above instead.

Vandalism

JULY 2026
Most likely 9 next month — likely between 4 and 15.
+66% vs 12-month average (≈5.7)
06 · Context & comps

How Montclare 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?

Montclaredoesn'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.

Montclare historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Aggravated assault1— too few

Each row shows Montclare's historical spike events for that category, and how often any of its 3 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 Chicago); 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 Montclare, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

simpledomesticaggravatedharassmenttelephonehandgunfraudretailbuildingorderelectronicmeansprotectionunlawfulviolateweaponfinancialforgeryidentitythreatcardconfidencedangerousgamesexual
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
010020012am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0228457MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0146292JanFebMarAprMayJunJulAugSepOctNovDec
08 · Methodology

How we built this page

Data → Anomalies → Forecast → Page

Incident data is pulled from CPD's open dataset on the City of Chicago Open Data portal — IUCR-coded and mapped to 9 UCR-aligned categories (theft from vehicle isn't reliably separable in the public feed and rolls into other larceny). Aggregated to community area × 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.