SPIKE · OTHER LARCENYSEPTEMBER 2026 BRIEFINGCHICAGO · 36.1K residents

Gage Park Crime Rate Trends — Chicago

Gage Park is a Southwest Side neighborhood organized around Western Avenue and 55th Street, anchored by Gage Park itself. Predominantly bungalows and worker cottages, bordered by the BNSF and CSX rail corridors.

OTHER LARCENY · 24-MO COUNT09 2026 · 57
05110112-mo avg: 67.7
GAGE PARKCITYWIDE TREND (RESCALED)-3% 12MO YOY
-28%MoM
+56%12mo YoY
812last 12mo
57this month
01 · TL;DR

Five signals defined Gage Park's September 2026 briefing: one spike and four sustained shifts. The sustained shifts are the structural story, four categories running persistently below their multi-year levels, a pattern that reflects months of accumulated change rather than a single quiet month. The spike in other larceny sits against that otherwise downward backdrop as the sharpest single-month move.

Other larceny reached 812 incidents over the trailing 12 months, up 55.6% against the prior year's 522, the largest category-level swing in either direction this briefing. Behind that, robbery and aggravated assault are both in sustained-shift territory: robbery is at 54 incidents over the current 12 months versus 92 in the year prior, down 41.3%, while aggravated assault dropped 32.6%, from 135 to 91. Everything else, burglary, motor vehicle theft, vandalism, ran within a narrower range, with vandalism down 26.0% on a 12-month basis.

1 spike4 sustained shifts
02 · Notable signals

Notable signals 1

SPIKE · OTHER LARCENY

Other Larceny

The past 12 months saw 812 incidents — about 122% above the 366 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-41%
2024-102026-09
Aggravated Assault-33%
2024-102026-09
Sexual Assault+48%
2024-102026-09
Burglary-5%
2024-102026-09
Other Larceny+56%
2024-102026-09
Motor Vehicle Theft-17%
2024-102026-09
Vandalism-26%
2024-102026-09
Arson+200%
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 3 next month — likely between 0 and 9.
−42% vs 12-month average (≈4.4)

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 21 next month — likely between 12 and 31.
+89% vs 12-month average (≈11.2)

Other Larceny

OCTOBER 2026
Most likely 63 next month — likely between 45 and 82.
−7% vs 12-month average (≈67.7)

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

OCTOBER 2026
Most likely 18 next month — likely between 8 and 28.
+14% vs 12-month average (≈15.7)
06 · Context & comps

How Gage Park 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?

Gage Parkdoesn'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.

Gage Park 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 Gage Park'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 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 Gage Park, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

retailsimpledomesticaggravatedhandgunfraudweaponordertelephoneforcibleharassmentprotectionunlawfulviolateconfidencegamearmeddangerouspossessioncuttinginstrumentknifefinancialidentityland
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
032865612am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
08231,647MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
05201,041JanFebMarAprMayJunJulAugSepOctNovDec
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.