SUSTAINED DROP · ROBBERYAPRIL 2026 BRIEFINGCHICAGO · 18.4K residents

Kenwood Crime Rate Trends — Chicago

Kenwood is a South Side lakefront neighborhood between Hyde Park and Bronzeville, organized around 47th and 51st Streets. Includes the historic Kenwood Mansion district, the Obama family residence, and predominantly mid-century apartment buildings near the Metra Electric line.

ROBBERY · 24-MO COUNT04 2026 · 3
071512-mo avg: 2.4
KENWOODCITYWIDE TREND (RESCALED)-34% 12MO YOY
+200%MoM
-47%12mo YoY
29last 12mo
3this month
01 · TL;DR

Kenwood's April 2026 briefing is defined by a single structural signal against an otherwise stable backdrop. One category moved — robbery — and it moved in a sustained, multi-year way, not as a one-month fluctuation.

Robbery is down 47.3% over the trailing 12 months, 29 incidents against 55 in the prior year. That is a sustained shift, meaning the reduction has held across multiple months, not just one quiet period. All other tracked categories — aggravated assault, sexual assault, burglary, motor vehicle theft, vandalism, and other larceny — remained within their expected ranges, with no spikes, drops, rare events, or streak breaks logged this period.

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-47%
2024-052026-04
Aggravated Assault-12%
2024-052026-04
Sexual Assault-41%
2024-052026-04
Burglary-24%
2024-052026-04
Other Larceny+5%
2024-052026-04
Motor Vehicle Theft-19%
2024-052026-04
Vandalism+9%
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.
+4% vs 12-month average (≈3.3)

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 22 next month — likely between 8 and 36.
+32% vs 12-month average (≈16.8)

Other Larceny

MAY 2026
Most likely 47 next month — likely between 33 and 62.
+4% vs 12-month average (≈45.8)

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 26 next month — likely between 12 and 40.
4% vs 12-month average (≈26.9)
06 · Context & comps

How Kenwood compares

Peer neighborhoods picked by closest 12-month robbery 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 robbery levels.”

SPATIAL SPILLOVER · NEW

Do crime spikes here spill over to adjacent neighborhoods?

When Kenwood has spiked aggravated assault historically (9 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.

Kenwood historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Aggravated assault90%
Sexual assault4— too few
Other larceny4— too few
Vandalism1— too few

Each row shows Kenwood's historical spike events for that category, and how often any of its 4 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 Kenwood, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

simpledomesticaggravatedhandguntelephoneretailbuildingunlawfulharassmentfinancialidentitythreatfraudweaponcuttingfeetfistshandsinjuryinstrumentknifedangerouscardorderpossession
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
029759412am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
07021,405MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0458916JanFebMarAprMayJunJulAugSepOctNovDec
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.