SPIKE · SEXUAL ASSAULTJUNE 2026 BRIEFINGCHICAGO · 13.8K residents

Armour Square Crime Rate Trends — Chicago

Armour Square is a Near South Side community area that includes Chinatown's Wentworth Avenue commercial strip and the Guaranteed Rate Field stadium grounds. Named for Philip Armour and the meatpacking industry that once dominated the area; bordered by the Dan Ryan Expressway to the west and the South Branch of the Chicago River to the east.

SEXUAL ASSAULT · 24-MO COUNT06 2026 · 1
02512-mo avg: 1.7
ARMOUR SQUARECITYWIDE TREND (RESCALED)-0% 12MO YOY
0%MoM
+54%12mo YoY
20last 12mo
1this month
01 · TL;DR

Four signals moved in Armour Square in June 2026 — one single-month spike and three sustained structural shifts. The overall pattern is mixed: property crime categories are running structurally higher over the trailing 12 months while violent crime shows a split, with robbery falling sharply and sexual assault registering the month's sharpest single-month signal.

Sexual assault is the most prominent signal: 20 incidents in the current 12-month window against a baseline of roughly 6.05, and up 53.8% against the prior-year period of 13. Robbery has moved in the opposite direction — down 55.8% year-over-year, 46 incidents vs. 104 — a sustained structural decline, not just a quiet month. On the property side, other larceny (369 vs. 267, up 38.2%) and vandalism (149 vs. 106, up 40.6%) are both running well above prior-year levels on a 12-month basis, extending what the sustained-shift signals identify as a structural pattern rather than a one-month blip.

1 spike3 sustained shifts
02 · Notable signals

Notable signals 1

SPIKE · SEXUAL ASSAULT

Sexual Assault

The past 12 months saw 20 incidents — about 231% above the 6 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
2024-072026-06
Robbery-56%
2024-072026-06
Aggravated Assault+10%
2024-072026-06
Sexual Assault+54%
2024-072026-06
Burglary+17%
2024-072026-06
Other Larceny+38%
2024-072026-06
Motor Vehicle Theft+8%
2024-072026-06
Vandalism+41%
2024-072026-06
Arsonbelow threshold
2024-072026-06
05 · Forecast

What next month likely looks like

Forecasts trained through June 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

JULY 2026
Most likely 4 next month — likely between 0 and 8.
+40% vs 12-month average (≈2.8)

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

JULY 2026
Most likely 8 next month — likely between 1 and 14.
2% vs 12-month average (≈7.7)

Other Larceny

JULY 2026
Most likely 29 next month — likely between 15 and 44.
5% vs 12-month average (≈30.8)

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

JULY 2026
Most likely 18 next month — likely between 10 and 26.
+42% vs 12-month average (≈12.4)
06 · Context & comps

How Armour Square compares

Peer neighborhoods picked by closest 12-month sexual assault 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 sexual assault levels.”

SPATIAL SPILLOVER · NEW

Do crime spikes here spill over to adjacent neighborhoods?

Armour Squaredoesn'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.

Armour Square historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Sexual assault2— too few

Each row shows Armour Square's historical spike events for that category, and how often any of its 7 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 Armour Square, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

simpleaggravateddomesticweaponretailfraudhandgundangerousfinancialidentityunlawfullandstrongforciblegamebuildingcardconfidencepossessioncreditcuttingfeetfistshandsinjury
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
020040012am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0476952MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0303606JanFebMarAprMayJunJulAugSepOctNovDec
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.