CHICAGO · 22.6K residents

Hermosa Crime Rate Trends — Chicago

Hermosa is a Northwest Side neighborhood organized around Pulaski Road and the Bloomingdale Trail's western terminus. Predominantly two- and three-flat housing on a tight grid, with the Logan Square neighborhood to the east and Belmont Cragin to the west.

OTHER LARCENY · 24-MO COUNT09 2026 · 8
0214312-mo avg: 17.8
HERMOSACITYWIDE TREND (RESCALED)-3% 12MO YOY
-47%MoM
+24%12mo YoY
214last 12mo
8this month
01 · TL;DR

September 2026 produced no tracked signals in Hermosa. No category crossed the threshold for a spike, drop, sustained shift, rare event, or streak break this month. The neighborhood was statistically quiet across all eight tracked categories.

The 12-month totals show the clearest contrasts in the underlying data. Motor vehicle theft is up 28.4% year-over-year (95 incidents vs. 74), vandalism is up 28.2% (150 vs. 117), and other larceny is up 24.4% (214 vs. 172), all rising against the prior year but not sharply enough in any single month to register as anomalies. On the other side, sexual assault is down 44.4% over 12 months (10 vs. 18) and arson is down 50.0% (3 vs. 6). Everything else, robbery and aggravated assault, sat within 4% of the prior year. No category broke out of its expected range in September.

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-3%
2024-102026-09
Aggravated Assault-3%
2024-102026-09
Sexual Assault-44%
2024-102026-09
Burglary+15%
2024-102026-09
Other Larceny+24%
2024-102026-09
Motor Vehicle Theft+28%
2024-102026-09
Vandalism+28%
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 5.
−42% vs 12-month average (≈2.5)

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

OCTOBER 2026
Most likely 12 next month — likely between 2 and 22.
+54% vs 12-month average (≈7.9)

Other Larceny

OCTOBER 2026
Most likely 21 next month — likely between 11 and 31.
+18% vs 12-month average (≈17.8)

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 6 and 19.
−0% vs 12-month average (≈12.5)
06 · Context & comps

How Hermosa 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?

Hermosadoesn'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.

Hermosa historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Other larceny1— too few

Each row shows Hermosa's historical spike events for that category, and how often any of its 7 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 Hermosa, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

simpledomesticaggravatedhandgunharassmentfraudtelephoneweaponunlawfulfinancialidentityconfidencegamedangerouselectronicforciblemeansthreatfirearmorderpossesspossessionrecklessarmedprotection
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
021543012am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0442883MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0259518JanFebMarAprMayJunJulAugSepOctNovDec
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.