SPIKE · SEXUAL ASSAULTAPRIL 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 COUNT04 2026 · 6
03712-mo avg: 3.8
WEST PULLMANCITYWIDE TREND (RESCALED)-0% 12MO YOY
+200%MoM
+61%12mo YoY
45last 12mo
6this month
01 · TL;DR

Three categories moved in West Pullman this April — one spike, one below-trend signal, and one sustained structural shift. The mix is uneven: two are moving in opposite directions, and the sustained burglary increase cuts against an otherwise mixed picture.

Sexual assault is the sharpest signal, with 45 incidents over the current 12 months against a baseline mean of 27.58 — a 60.7% increase year-over-year. Vandalism ran below trend this month, part of a broader pullback: 433 incidents in the current 12-month window vs. 546 in the prior year, down 20.7%. Burglary is the structural concern — 158 incidents in the current 12 months against 104 in the prior year, up 51.9%, a shift that has persisted long enough to register as a sustained move rather than a single noisy month.

1 spike1 drop1 sustained shift
02 · Notable signals

Notable signals 2

SPIKE · SEXUAL ASSAULT

Sexual Assault

The past 12 months saw 45 incidents — about 63% above the 28 average from prior years.

DROP · VANDALISM

Vandalism

The past 12 months saw 433 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
2024-052026-04
Robbery-21%
2024-052026-04
Aggravated Assault-23%
2024-052026-04
Sexual Assault+61%
2024-052026-04
Burglary+52%
2024-052026-04
Other Larceny-11%
2024-052026-04
Motor Vehicle Theft-8%
2024-052026-04
Vandalism-21%
2024-052026-04
Arson-52%
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 8 next month — likely between 0 and 20.
39% vs 12-month average (≈13.2)

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 32 next month — likely between 9 and 54.
+29% vs 12-month average (≈24.5)

Other Larceny

MAY 2026
Most likely 44 next month — likely between 28 and 60.
+11% vs 12-month average (≈39.3)

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 44 next month — likely between 30 and 59.
+23% vs 12-month average (≈36.1)
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
Arson1— 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.

simpledomesticaggravatedhandgunforcibleunlawfultelephoneweaponthreatpossessiondangerousharassmentoffenderpossessorderfraudfinancialidentityfeetfistshandsinjuryarmedprotectionviolate
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
05491,09912am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
01,2382,476MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
07501,499JanFebMarAprMayJunJulAugSepOctNovDec
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.