SPIKE · SEXUAL ASSAULTSEPTEMBER 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 COUNT09 2026 · 4
04812-mo avg: 4.3
WEST PULLMANCITYWIDE TREND (RESCALED)+5% 12MO YOY
+33%MoM
+65%12mo YoY
51last 12mo
4this month
01 · TL;DR

Two categories moved in West Pullman this September, one up and one down, against a broader 12-month backdrop that is mostly flat to declining. The shape of the month is narrow: a single spike and a single below-trend signal, with everything else within range.

Sexual assault is the stronger of the two signals, with 51 incidents over the trailing 12 months against 31 in the prior year, a 64.5% increase. Robbery ran the other direction, down 24.7% year-over-year, 61 incidents against 81 the prior 12 months. Outside those two categories, vandalism is down 10.0%, arson down 52.9%, and aggravated assault off 4.9%, all multi-month trends rather than fresh monthly moves.

1 spike1 drop
02 · Notable signals

Notable signals 2

SPIKE · SEXUAL ASSAULT

Sexual Assault

The past 12 months saw 51 incidents — about 84% above the 28 average from prior years.

DROP · ROBBERY

Robbery

The past 12 months saw 61 incidents — about 35% below the 94 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
2024-102026-09
Robbery-25%
2024-102026-09
Aggravated Assault-5%
2024-102026-09
Sexual Assault+65%
2024-102026-09
Burglary+18%
2024-102026-09
Other Larceny-6%
2024-102026-09
Motor Vehicle Theft+0%
2024-102026-09
Vandalism-10%
2024-102026-09
Arsonbelow threshold
2024-102026-09
05 · Forecast

What next month likely looks like

Forecasts trained through September 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

OCTOBER 2026
Most likely 10 next month — likely between 0 and 23.
−22% vs 12-month average (≈12.8)

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

OCTOBER 2026
Most likely 38 next month — likely between 15 and 62.
+57% vs 12-month average (≈24.2)

Other Larceny

OCTOBER 2026
Most likely 42 next month — likely between 26 and 58.
+8% vs 12-month average (≈38.8)

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

OCTOBER 2026
Most likely 46 next month — likely between 31 and 60.
+27% 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 assault2— 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.

simpledomesticaggravatedhandgununlawfulforcibletelephoneweaponoffenderdangerouspossessionpossessharassmentfraudthreatregisterfailorderfinancialidentityfeetfistshandsinjuryprotection
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
05731,14612am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
01,2962,592MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
08381,675JanFebMarAprMayJunJulAugSepOctNovDec
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.