SPIKE · OTHER LARCENYJUNE 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 COUNT06 2026 · 47
05110212-mo avg: 66.1
GAGE PARKCITYWIDE TREND (RESCALED)-4% 12MO YOY
-45%MoM
+75%12mo YoY
793last 12mo
47this month
01 · TL;DR

Four signals surfaced in Gage Park this June — one spike and three sustained shifts. The structural story is split: property crime is moving in two directions at once, with robbery, motor vehicle theft, and vandalism all down sharply over the trailing 12 months while other larceny has run well above its prior-year level for long enough to register as a structural shift, not a one-month blip.

Other larceny is the month's most prominent signal: 793 incidents in the current 12-month window against 452 in the year before, a 75.4% increase, with the current total more than double the baseline figure of 360.71. Robbery tells the opposite story — 57 incidents over the past 12 months versus 106 prior, a 46.2% decline, and that sustained-shift classification means the drop has held across multiple months. Arson and sexual assault also rose year-over-year (83.3% and 63.2%, respectively), though both remain low-volume categories; every other tracked category in Gage Park ran below its prior-year total.

1 spike3 sustained shifts
02 · Notable signals

Notable signals 1

SPIKE · OTHER LARCENY

Other Larceny

The past 12 months saw 793 incidents — about 120% above the 361 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
2024-072026-06
Robbery-46%
2024-072026-06
Aggravated Assault-9%
2024-072026-06
Sexual Assault+63%
2024-072026-06
Burglary-17%
2024-072026-06
Other Larceny+75%
2024-072026-06
Motor Vehicle Theft-28%
2024-072026-06
Vandalism-20%
2024-072026-06
Arson+83%
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

JULY 2026
Most likely 4 next month — likely between 0 and 10.
4% 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

JULY 2026
Most likely 15 next month — likely between 6 and 25.
+42% vs 12-month average (≈10.8)

Other Larceny

JULY 2026
Most likely 62 next month — likely between 44 and 81.
5% vs 12-month average (≈66.1)

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 24 next month — likely between 14 and 33.
+40% vs 12-month average (≈16.9)
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.

retailsimpledomesticaggravatedhandgunfraudweapontelephoneunlawfulorderharassmentprotectionviolateforciblecuttinginstrumentknifeconfidencegamepossessionfinancialidentitydangerousarmedsexual
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
031763512am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
07951,590MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0466932JanFebMarAprMayJunJulAugSepOctNovDec
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.