SPIKE · VANDALISMAPRIL 2026 BRIEFINGCHICAGO · 30.6K residents

Hyde Park Crime Rate Trends — Chicago

Hyde Park is a South Side lakefront neighborhood organized around the University of Chicago campus and 53rd Street. Anchored by the Museum of Science and Industry, Promontory Point, the historic Robie House, and the Metra Electric line; bordered by Washington Park to the west and Lake Michigan to the east.

VANDALISM · 24-MO COUNT04 2026 · 19
0438512-mo avg: 30.6
HYDE PARKCITYWIDE TREND (RESCALED)-5% 12MO YOY
-27%MoM
+64%12mo YoY
367last 12mo
19this month
01 · TL;DR

Three categories moved in Hyde Park this April — one single-month spike and two sustained structural shifts pulling in opposite directions. The dominant signal is vandalism, which produced both a spike and a multi-year structural shift upward. Robbery is the counterweight: a sustained shift downward that has reshaped the 12-month picture meaningfully.

Vandalism's 12-month total now stands at 367 incidents, up 63.8% against the prior year's 224 — and well above the multi-year baseline of 192.66. That gap is structural, not noise. Robbery has moved the other direction: 41 incidents over the current 12 months versus 70 in the prior period, a 41.4% decline. Every other tracked category — aggravated assault, sexual assault, burglary, other larceny, motor vehicle theft — registered no anomalies this month.

1 spike2 sustained shifts
02 · Notable signals

Notable signals 1

SPIKE · VANDALISM

Vandalism

The past 12 months saw 367 incidents — about 90% above the 193 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-41%
2024-052026-04
Aggravated Assault0%
2024-052026-04
Sexual Assault-16%
2024-052026-04
Burglary-9%
2024-052026-04
Other Larceny-1%
2024-052026-04
Motor Vehicle Theft+10%
2024-052026-04
Vandalism+64%
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 4 next month — likely between 0 and 10.
27% vs 12-month average (≈5.3)

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 20 next month — likely between 4 and 35.
+10% vs 12-month average (≈17.8)

Other Larceny

MAY 2026
Most likely 86 next month — likely between 62 and 111.
+4% vs 12-month average (≈82.3)

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 25 next month — likely between 7 and 42.
18% vs 12-month average (≈30.6)
06 · Context & comps

How Hyde Park compares

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

SPATIAL SPILLOVER · NEW

Do crime spikes here spill over to adjacent neighborhoods?

When Hyde Park has spiked other larceny historically (14 events on record), an adjacent neighborhood spiked the same category within 3 months 100% of the time. The strongest-travelling categories sit at the top of the table.

Hyde Park historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Other larceny14100%
Sexual assault666.7%
Vandalism1— too few

Each row shows Hyde Park'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 Hyde Park, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

simpleretaildomesticbuildingaggravatedfraudhandgunconfidencegameunlawfultelephoneweaponharassmentfeetfistshandsinjuryforcibledangerousfinancialidentitylandcardthreatpossession
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
040781412am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
09621,924MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
05931,186JanFebMarAprMayJunJulAugSepOctNovDec
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.