SPIKE · SEXUAL ASSAULTAUGUST 2026 BRIEFINGCHICAGO · 24.5K residents

West Pullman Crime Rate Trends — Chicago

West Pullman is a Far South Side neighborhood west of the historic Pullman district, organized around 119th and Halsted Streets. Predominantly single-family bungalows and ranch homes, bordered by the Calumet rail corridor and the Riverdale community area.

SEXUAL ASSAULT · 24-MO COUNT08 2026 · 2
04812-mo avg: 4.1
WEST PULLMANCITYWIDE TREND (RESCALED)+1% 12MO YOY
-71%MoM
+58%12mo YoY
49last 12mo
2this month
01 · TL;DR

Three categories moved in West Pullman this August briefing, two drops and one spike. The spike is the dominant signal: sexual assault is running well above its recent pace, and it sits against a backdrop of robbery and vandalism both pulling lower than trend.

Sexual assault is at 49 incidents over the current 12 months, up from 31 in the prior 12-month period, a 58.1% increase year-over-year. Robbery has moved the other direction, down 23.2% to 63 incidents from 82 in the prior year. Vandalism is also below its prior-year level, 431 incidents against 504, a 14.5% decline. The rest of the tracked categories fell within normal range for the month.

1 spike2 drops
02 · Notable signals

Notable signals 3

SPIKE · SEXUAL ASSAULT

Sexual Assault

The past 12 months saw 49 incidents — about 77% above the 28 average from prior years.

DROP · ROBBERY

Robbery

The past 12 months saw 63 incidents — about 33% below the 94 average from prior years.

DROP · VANDALISM

Vandalism

The past 12 months saw 431 incidents — about 17% below the 521 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
2024-092026-08
Robbery-23%
2024-092026-08
Aggravated Assault-1%
2024-092026-08
Sexual Assault+58%
2024-092026-08
Burglary+19%
2024-092026-08
Other Larceny-7%
2024-092026-08
Motor Vehicle Theft-7%
2024-092026-08
Vandalism-15%
2024-092026-08
Arson-41%
2024-092026-08
05 · Forecast

What next month likely looks like

Forecasts trained through August 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

SEPTEMBER 2026
Most likely 9 next month — likely between 0 and 21.
29% vs 12-month average (≈13.0)

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

SEPTEMBER 2026
Most likely 38 next month — likely between 15 and 61.
+58% vs 12-month average (≈24.0)

Other Larceny

SEPTEMBER 2026
Most likely 37 next month — likely between 20 and 52.
5% vs 12-month average (≈38.7)

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

SEPTEMBER 2026
Most likely 43 next month — likely between 28 and 58.
+20% vs 12-month average (≈35.9)
06 · Context & comps

How West Pullman 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?

West Pullmandoesn'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.

West Pullman 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 West Pullman's historical spike events for that category, and how often any of its 3 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 West Pullman, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

simpledomesticaggravatedhandgununlawfulforcibletelephoneweaponoffenderdangerouspossessionharassmentregisterthreatpossessfraudfailfinancialidentityorderfeetfistshandsinjuryprotection
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
05691,13712am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
01,2822,564MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
08371,673JanFebMarAprMayJunJulAugSepOctNovDec
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.