CHICAGO · 19.9K residents

Forest Glen Crime Rate Trends — Chicago

Forest Glen is a Far Northwest Side residential community area along the North Branch of the Chicago River, including the wooded Sauganash subdivision and the LaBagh Woods forest preserve. Predominantly single-family homes on winding streets, with the Edens Expressway as the eastern border.

OTHER LARCENY · 24-MO COUNT04 2026 · 5
0112212-mo avg: 9.2
FOREST GLENCITYWIDE TREND (RESCALED)-5% 12MO YOY
0%MoM
-21%12mo YoY
110last 12mo
5this month
01 · TL;DR

April 2026 was a quiet month in Forest Glen. No tracked category crossed an anomaly threshold — zero signals across all flag types — leaving the month's story in the 12-month structural picture rather than any single fresh move.

That structural picture is broadly downward across every tracked category. Robbery fell 80.0% against the prior 12 months (1 incident vs. 5), motor vehicle theft is down 40.5% (25 vs. 42), and other larceny dropped 21.4% (110 vs. 140). Burglary, vandalism, and aggravated assault are all running below their prior-year levels as well. No category moved against that trend this month.

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
2024-052026-04
Robberybelow threshold
2024-052026-04
Aggravated Assaultbelow threshold
2024-052026-04
Sexual Assaultbelow threshold
2024-052026-04
Burglary-21%
2024-052026-04
Other Larceny-21%
2024-052026-04
Motor Vehicle Theft-41%
2024-052026-04
Vandalism-26%
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 3 next month — likely between 0 and 6.
+22% vs 12-month average (≈2.1)

Other Larceny

MAY 2026
Most likely 12 next month — likely between 3 and 21.
+31% vs 12-month average (≈9.2)

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 4 next month — likely between 0 and 8.
+14% vs 12-month average (≈3.3)
06 · Context & comps

How Forest Glen 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.”

SPATIAL SPILLOVER · NEW

Do crime spikes here spill over to adjacent neighborhoods?

Forest Glendoesn'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.

Forest Glen historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Motor vehicle theft1— too few

Each row shows Forest Glen's historical spike events for that category, and how often any of its 6 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 Forest Glen, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

simpledomesticforciblefinancialfraudidentityconfidencegametelephoneaggravatedharassmentthreatelectronicmeansunlawfulbuildinghandgunpossesscannabiscomputerforgerygramslandresidencesexual
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
08016112am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0184369MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0110220JanFebMarAprMayJunJulAugSepOctNovDec
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.