CHICAGO · 26.6K residents

Jefferson Park Crime Rate Trends — Chicago

Jefferson Park is a Far Northwest Side neighborhood, a major transit hub anchored by the CTA Blue Line's Jefferson Park station and the Metra Union Pacific-Northwest Line. Predominantly single-family homes and brick bungalows, organized around Milwaukee Avenue and Lawrence Avenue.

OTHER LARCENY · 24-MO COUNT09 2026 · 17
0173512-mo avg: 17.3
JEFFERSON PARKCITYWIDE TREND (RESCALED)-3% 12MO YOY
+6%MoM
+8%12mo YoY
207last 12mo
17this month
01 · TL;DR

September 2026 was a quiet month in Jefferson Park. No tracked category produced a notable signal, and the month closed without any above-trend, below-trend, or rare-event moves registering across the neighborhood.

The 12-month picture shows more movement than the single month does. Aggravated assault is up 35.7% against the prior year, 38 incidents vs. 28, the sharpest directional move in the neighborhood's recent data. Vandalism moved the other way, down 18.4% to 93 incidents from 114. Robbery also fell, 12 incidents against 15 the year before, a 20.0% decline. Motor vehicle theft, other larceny, and burglary were all within a narrow range of their prior-year totals, and sexual assault held flat at 8 incidents in both periods.

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-20%
2024-102026-09
Aggravated Assault+36%
2024-102026-09
Sexual Assaultbelow threshold
2024-102026-09
Burglary+15%
2024-102026-09
Other Larceny+8%
2024-102026-09
Motor Vehicle Theft-7%
2024-102026-09
Vandalism-18%
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

NO FORECAST

Below the volume threshold for a reliable forecast — too few incidents in recent months to project from.

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 4 next month — likely between 0 and 10.
+3% vs 12-month average (≈4.2)

Other Larceny

OCTOBER 2026
Most likely 21 next month — likely between 10 and 34.
+23% vs 12-month average (≈17.3)

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 8 next month — likely between 3 and 15.
+8% vs 12-month average (≈7.8)
06 · Context & comps

How Jefferson Park 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 Jefferson Park, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

simpledomesticaggravatedfraudtelephoneconfidencefinancialgameretailharassmentidentitylandthreatweaponpossessfeetfistshandsinjuryunlawfulbuildingminordangerouselectronicmeans
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
017334712am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0376752MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0238475JanFebMarAprMayJunJulAugSepOctNovDec
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.