SUSTAINED DROP · BURGLARYAPRIL 2026 BRIEFINGCHICAGO · 39.5K residents

Norwood Park Crime Rate Trends — Chicago

Norwood Park is a Far Northwest Side residential neighborhood on the Park Ridge border, organized around Northwest Highway and the Metra Union Pacific-Northwest Line. Predominantly single-family homes, including the historic Norwood Park subdivision dating to the 1870s.

BURGLARY · 24-MO COUNT04 2026 · 1
061212-mo avg: 2.2
NORWOOD PARKCITYWIDE TREND (RESCALED)-19% 12MO YOY
-83%MoM
-52%12mo YoY
26last 12mo
1this month
01 · TL;DR

April 2026 produced a single signal in Norwood Park: a sustained structural shift in burglary, the only category that moved enough to register this month. Every other tracked category landed within its expected range.

Burglary is down 51.9% over the trailing 12 months — 26 incidents against 54 in the prior year — a multi-month structural decline, not a one-month dip. Motor vehicle theft moved in the opposite direction over the same window, up 30.8% (68 vs 52), and other larceny edged 6.2% above the prior year, but neither crossed the anomaly threshold this month. Robbery and aggravated assault both ran below their prior-year levels — down 37.5% and 13.9% respectively — without generating fresh signals of their own.

1 sustained shift
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
2024-052026-04
Robbery-38%
2024-052026-04
Aggravated Assault-14%
2024-052026-04
Sexual Assault0%
2024-052026-04
Burglary-52%
2024-052026-04
Other Larceny+6%
2024-052026-04
Motor Vehicle Theft+31%
2024-052026-04
Vandalism+2%
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 2 next month — likely between 0 and 7.
7% vs 12-month average (≈2.2)

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 5 next month — likely between 0 and 10.
14% vs 12-month average (≈5.7)

Other Larceny

MAY 2026
Most likely 29 next month — likely between 17 and 43.
+3% vs 12-month average (≈28.4)

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 2 and 19.
+3% vs 12-month average (≈9.8)
06 · Context & comps

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

simpledomesticfinancialidentityretailfraudaggravatedharassmentlandtelephonecardorderconfidencegameprotectionviolateelectronicmeansbuildingcreditthreatfeetfistshandsinjury
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
019539112am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0425849MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0267534JanFebMarAprMayJunJulAugSepOctNovDec
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.