SUSTAINED DROP · MOTOR VEHICLE THEFTAPRIL 2026 BRIEFINGCHICAGO · 20.9K residents

Morgan Park Crime Rate Trends — Chicago

Morgan Park is a Far South Side neighborhood on the Blue Island Ridge, organized around the Metra Rock Island District's Morgan Park stations and the 111th Street commercial strip. Predominantly single-family homes, including the historic Beverly Unitarian Church (Givins Castle) on the western edge.

MOTOR VEHICLE THEFT · 24-MO COUNT04 2026 · 13
0132512-mo avg: 9.4
MORGAN PARKCITYWIDE TREND (RESCALED)-10% 12MO YOY
0%MoM
-33%12mo YoY
113last 12mo
13this month
01 · TL;DR

April 2026 produced a single tracked signal in Morgan Park — one sustained shift, not a burst of activity across the board. Motor vehicle theft is the one category with a structural move, and the rest of the tracked buckets are running close to prior-year levels.

Motor vehicle theft is down 33.1% over the trailing 12 months — 113 incidents against 169 in the prior year — a multi-month structural decline, not a one-month anomaly. Vandalism is also lower on a 12-month basis, down 18.3%, though it didn't cross the threshold for a formal signal. Burglary and sexual assault moved in the opposite direction year-over-year, up 17.9% and 27.8% respectively, but neither generated a signal this month — volumes remain relatively small in absolute terms.

1 sustained shift
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
2024-052026-04
Robbery-8%
2024-052026-04
Aggravated Assault+2%
2024-052026-04
Sexual Assault+28%
2024-052026-04
Burglary+18%
2024-052026-04
Other Larceny-2%
2024-052026-04
Motor Vehicle Theft-33%
2024-052026-04
Vandalism-18%
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 3 next month — likely between 0 and 7.
26% 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 15 next month — likely between 4 and 28.
+64% vs 12-month average (≈9.4)

Other Larceny

MAY 2026
Most likely 32 next month — likely between 17 and 47.
6% vs 12-month average (≈34.3)

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 20 next month — likely between 11 and 29.
+15% vs 12-month average (≈17.1)
06 · Context & comps

How Morgan Park 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?

Morgan 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.

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

Each row shows Morgan Park's historical spike events for that category, and how often any of its 5 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 Morgan Park, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

simpledomesticretailaggravatedhandguntelephonefinancialharassmentunlawfulidentityfraudpossessionweaponforcibleorderprotectionviolatethreatcardelectronicmeansdangerousfeetfistshands
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
028256312am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
06741,349MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0402803JanFebMarAprMayJunJulAugSepOctNovDec
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.