CHICAGO · 6.7K residents

Pullman Crime Rate Trends — Chicago

Pullman is a Far South Side neighborhood developed in 1880 by George Pullman as a planned company town for his Pullman Palace Car Company workers. The historic core is now the Pullman National Historical Park, with rowhouses and the original Hotel Florence; bordered by the Bishop Ford Expressway and the Calumet rail corridor.

OTHER LARCENY · 24-MO COUNT09 2026 · 18
0214112-mo avg: 21.3
PULLMANCITYWIDE TREND (RESCALED)-3% 12MO YOY
-36%MoM
-8%12mo YoY
255last 12mo
18this month
01 · TL;DR

September 2026 was a quiet month in Pullman. No tracked category registered a notable signal this period, and the mix across all seven tracked categories stayed within normal range.

The 12-month picture shows some movement worth noting. Robbery is up 50.0% against the prior year, 12 incidents vs 8, and burglary rose 45.0%, 29 incidents vs 20. Both are small counts, so the percentages carry less weight than they would at higher volumes. On the other side, motor vehicle theft is down 17.9%, 69 incidents vs 84, and other larceny fell 7.6%, 255 vs 276. Aggravated assault, vandalism, and sexual assault were all close to flat year-over-year.

No signals this month
02 · Notable signals

Notable signals 0

Nothing notable surfaced this month — every category sits within normal range against its baseline.

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+50%
2024-102026-09
Aggravated Assault+11%
2024-102026-09
Sexual Assault0%
2024-102026-09
Burglary+45%
2024-102026-09
Other Larceny-8%
2024-102026-09
Motor Vehicle Theft-18%
2024-102026-09
Vandalism-5%
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 1 next month — likely between 0 and 4.
−74% vs 12-month average (≈2.4)

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 11 next month — likely between 5 and 17.
+93% vs 12-month average (≈5.8)

Other Larceny

OCTOBER 2026
Most likely 20 next month — likely between 6 and 32.
−7% vs 12-month average (≈21.3)

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

OCTOBER 2026
Most likely 12 next month — likely between 7 and 18.
+40% vs 12-month average (≈8.8)
06 · Context & comps

How Pullman compares

Peer neighborhoods picked by closest 12-month other larceny 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 other larceny levels.”

07 · Patterns

Recurring local terms (last 12 months)

Top terms in incident descriptions for Pullman, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

simpleretaildomesticaggravatedhandguntelephonethreatunlawfulfeetfistshandsinjuryweaponharassmentpossessiondangerousforciblefraudlandminororderfinancialoffendercardidentity
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
014629212am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0372745MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0232464JanFebMarAprMayJunJulAugSepOctNovDec
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.