DROP · BURGLARYAPRIL 2026 BRIEFINGCHICAGO · 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.

BURGLARY · 24-MO COUNT04 2026 · 1
04812-mo avg: 1.6
JEFFERSON PARKCITYWIDE TREND (RESCALED)-19% 12MO YOY
-50%MoM
-49%12mo YoY
19last 12mo
1this month
01 · TL;DR

Jefferson Park had a minimal April 2026 — one tracked category moved, and it moved downward. Burglary is the sole signal this month, a below-trend drop against the prior-year baseline.

Burglary's 12-month total stands at 19 incidents, down 48.6% against the prior 12 months (37). That is the sharpest year-over-year shift in the neighborhood's tracked categories this period. Everything else — robbery, motor vehicle theft, other larceny, vandalism, aggravated assault, sexual assault — ran within normal range and generated no signals.

1 drop
02 · Notable signals

Notable signals 1

DROP · BURGLARY

Burglary

The past 12 months saw 19 incidents — about 55% below the 42 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-13%
2024-052026-04
Aggravated Assault+16%
2024-052026-04
Sexual Assaultbelow threshold
2024-052026-04
Burglary-49%
2024-052026-04
Other Larceny-5%
2024-052026-04
Motor Vehicle Theft-29%
2024-052026-04
Vandalism+8%
2024-052026-04
Arsonbelow threshold
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 1 next month — likely between 0 and 5.

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 6 next month — likely between 1 and 11.
+55% vs 12-month average (≈3.8)

Other Larceny

MAY 2026
Most likely 15 next month — likely between 4 and 27.
10% vs 12-month average (≈17.0)

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 10 next month — likely between 3 and 16.
+9% vs 12-month average (≈8.8)
06 · Context & comps

How Jefferson Park compares

Peer neighborhoods picked by closest 12-month burglary 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 burglary 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.

simpledomesticaggravatedfraudconfidencegametelephoneharassmentfinancialidentitylandthreatweaponretailelectronicfeetfistshandsinjurymeansbuildingpossessdangerousforcibleminor
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
016633212am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0361723MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0228455JanFebMarAprMayJunJulAugSepOctNovDec
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.