SPIKE · OTHER LARCENYAUGUST 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 COUNT08 2026 · 75
05110112-mo avg: 66.9
GAGE PARKCITYWIDE TREND (RESCALED)-4% 12MO YOY
+23%MoM
+60%12mo YoY
803last 12mo
75this month
01 · TL;DR

Four categories moved in Gage Park in August 2026: one one-month spike and three structural sustained shifts. The dominant story is other larceny, which is both the single-month spike and a multi-month structural rise, meaning the volume increase is not noise. Three sustained shifts in one briefing points to a neighborhood mid-transition, not a random noisy month.

Other larceny is the clearest mover: 803 incidents in the current 12 months against 502 in the prior year, a 60.0% rise. Robbery is pulling in the opposite direction, down 41.1% over the same 12-month window, 56 incidents against 95. Arson is the quieter concern, 11 incidents against 5 in the prior year, a 120.0% increase on low absolute counts, and aggravated assault is down 22.2%, 105 incidents against 135. Everything else, burglary, motor vehicle theft, vandalism, and homicide, also ran below their prior-year levels, making the other larceny rise the clear outlier in an otherwise broadly downward neighborhood.

1 spike3 sustained shifts
02 · Notable signals

Notable signals 1

SPIKE · OTHER LARCENY

Other Larceny

The past 12 months saw 803 incidents — about 121% above the 364 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
2024-092026-08
Robbery-41%
2024-092026-08
Aggravated Assault-22%
2024-092026-08
Sexual Assault+26%
2024-092026-08
Burglary-5%
2024-092026-08
Other Larceny+60%
2024-092026-08
Motor Vehicle Theft-28%
2024-092026-08
Vandalism-19%
2024-092026-08
Arson+120%
2024-092026-08
05 · Forecast

What next month likely looks like

Forecasts trained through August 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

SEPTEMBER 2026
Most likely 5 next month — likely between 0 and 11.
+1% vs 12-month average (≈4.5)

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

SEPTEMBER 2026
Most likely 14 next month — likely between 3 and 24.
+33% vs 12-month average (≈10.3)

Other Larceny

SEPTEMBER 2026
Most likely 59 next month — likely between 41 and 79.
11% vs 12-month average (≈66.9)

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

SEPTEMBER 2026
Most likely 21 next month — likely between 11 and 32.
+26% vs 12-month average (≈17.0)
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 larceny1— 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.

retailsimpledomesticaggravatedhandgunfraudweaponunlawfulharassmenttelephoneconfidenceforciblegameorderprotectionviolatedangerousarmedcuttinginstrumentknifepossessionfinancialidentityabuse
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
032564912am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
08171,634MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
05201,040JanFebMarAprMayJunJulAugSepOctNovDec
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.