SPIKE · OTHER LARCENYAPRIL 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 COUNT04 2026 · 74
05110212-mo avg: 62.2
GAGE PARKCITYWIDE TREND (RESCALED)-5% 12MO YOY
-17%MoM
+69%12mo YoY
746last 12mo
74this month
01 · TL;DR

Four signals surfaced in Gage Park this April — one spike and three sustained shifts. The dominant story is structural: robbery, motor vehicle theft, and at least one other category have shifted materially downward over the trailing 12 months, while other larceny has moved in the opposite direction and now accounts for the month's sharpest single-month signal.

Other larceny's 12-month total reached 746 incidents, up 68.8% against the prior year's 442 — and well above its multi-year baseline of 358.3. Robbery tells the inverse story: 55 incidents over the current 12 months against 112 in the prior period, a sustained shift of -50.9%. Homicide is also down sharply on the 12-month view, 3 vs. 12, though counts at that level are small enough that the percentage moves cautiously. Everything else — aggravated assault, vandalism, burglary, motor vehicle theft — ran below prior-year levels without generating fresh single-month signals.

1 spike3 sustained shifts
02 · Notable signals

Notable signals 1

SPIKE · OTHER LARCENY

Other Larceny

The past 12 months saw 746 incidents — about 108% above the 358 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-51%
2024-052026-04
Aggravated Assault-11%
2024-052026-04
Sexual Assault+45%
2024-052026-04
Burglary-27%
2024-052026-04
Other Larceny+69%
2024-052026-04
Motor Vehicle Theft-32%
2024-052026-04
Vandalism-12%
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 2 next month — likely between 0 and 8.
45% vs 12-month average (≈3.8)

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 16 next month — likely between 5 and 26.
+45% vs 12-month average (≈10.8)

Other Larceny

MAY 2026
Most likely 56 next month — likely between 37 and 73.
10% vs 12-month average (≈62.2)

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

MAY 2026
Most likely 18 next month — likely between 8 and 29.
+2% vs 12-month average (≈17.9)
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?

When Gage Park has spiked other larceny historically (7 events on record), an adjacent neighborhood spiked the same category within 3 months 0% of the time. The strongest-travelling categories sit at the top of the table.

Gage Park historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Other larceny70%
Robbery2— 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.

retailsimpledomesticaggravatedhandgunweaponfraudtelephoneharassmentunlawfulcuttinginstrumentknifeorderdangerousprotectionviolateconfidencegameforciblefinancialidentitypossessionstrongabuse
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
030761512am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
07771,553MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0460920JanFebMarAprMayJunJulAugSepOctNovDec
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.