SUSTAINED DROP · OTHER LARCENYAPRIL 2026 BRIEFINGCHICAGO · 19.5K residents

Beverly Crime Rate Trends — Chicago

Beverly is a Far South Side neighborhood on the Blue Island Ridge, organized around the Metra Rock Island District line and the 95th Street and Western Avenue commercial corridors. Predominantly single-family homes on tree-lined streets, including the historic Givins Castle and the highest natural elevation in Chicago.

OTHER LARCENY · 24-MO COUNT04 2026 · 13
0377412-mo avg: 20.2
BEVERLYCITYWIDE TREND (RESCALED)-5% 12MO YOY
-13%MoM
-36%12mo YoY
242last 12mo
13this month
01 · TL;DR

Beverly had a narrow April 2026 — exactly one tracked signal across all categories, a sustained structural shift in other larceny. That single sustained-shift signal is the shape of the month: not a noisy one-month move, but a multi-year pattern holding in place.

Other larceny has fallen 35.5% against the prior 12 months — 242 incidents in the current window vs. 375 before — and that divergence is now structural rather than seasonal. Every other tracked category ran within its normal range: robbery is down 25.0% over 12 months, burglary is down 9.1%, and motor vehicle theft is off 2.7%, but none of those crossed the anomaly threshold this month. Aggravated assault (up 35.0%) and sexual assault (up 57.1%) show meaningful 12-month moves, but both categories carry low base counts — 27 and 11 incidents respectively — and neither registered as an anomaly in this briefing.

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-25%
2024-052026-04
Aggravated Assault+35%
2024-052026-04
Sexual Assault+57%
2024-052026-04
Burglary-9%
2024-052026-04
Other Larceny-36%
2024-052026-04
Motor Vehicle Theft-3%
2024-052026-04
Vandalism+7%
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 8.
+11% vs 12-month average (≈2.5)

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

MAY 2026
Most likely 7 next month — likely between 1 and 13.
+13% vs 12-month average (≈6.0)

Other Larceny

MAY 2026
Most likely 25 next month — likely between 10 and 39.
+23% vs 12-month average (≈20.2)

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 10 next month — likely between 3 and 16.
+2% vs 12-month average (≈9.5)
06 · Context & comps

How Beverly 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?

Beverlydoesn'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.

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

simpledomesticretailaggravatedfraudfinancialidentitytelephoneharassmenthandgunconfidencegameunlawfulforciblethreatweapondangerousarmedcardelectroniclandmeansorderbuildingcomputer
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
015831612am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0349697MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0239477JanFebMarAprMayJunJulAugSepOctNovDec
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.