SPIKE · OTHER LARCENYJUNE 2026 BRIEFINGCHICAGO · 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 COUNT06 2026 · 11
0214312-mo avg: 18.5
HERMOSACITYWIDE TREND (RESCALED)-4% 12MO YOY
-61%MoM
+35%12mo YoY
222last 12mo
11this month
01 · TL;DR

June 2026 in Hermosa was shaped almost entirely by a single category moving in two distinct ways. Other larceny generated both signals this month — one a spike within the current window, one a sustained shift — making this a case where breadth of signal count understates the structural weight of a single bucket.

Other larceny sits at 222 incidents over the trailing 12 months, up 35.4% against the prior 12 months' 164. The sustained-shift signal confirms this isn't a one-month artifact; the category has been running above its multi-year baseline of 167.53 for long enough to register as a structural change. Everything else — robbery down 34.2%, aggravated assault down 8.2%, burglary down 9.4% — held within or below trend, leaving other larceny as the sole category pulling against an otherwise broadly declining picture.

1 spike1 sustained shift
02 · Notable signals

Notable signals 1

SPIKE · OTHER LARCENY

Other Larceny

The past 12 months saw 222 incidents — about 33% above the 168 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
2024-072026-06
Robbery-34%
2024-072026-06
Aggravated Assault-8%
2024-072026-06
Sexual Assault-21%
2024-072026-06
Burglary-9%
2024-072026-06
Other Larceny+35%
2024-072026-06
Motor Vehicle Theft0%
2024-072026-06
Vandalism+11%
2024-072026-06
Arsonbelow threshold
2024-072026-06
05 · Forecast

What next month likely looks like

Forecasts trained through June 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

JULY 2026
Most likely 1 next month — likely between 0 and 5.
46% vs 12-month average (≈2.4)

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

JULY 2026
Most likely 10 next month — likely between 0 and 20.
+45% vs 12-month average (≈6.9)

Other Larceny

JULY 2026
Most likely 18 next month — likely between 8 and 27.
5% vs 12-month average (≈18.5)

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

JULY 2026
Most likely 12 next month — likely between 6 and 18.
+3% vs 12-month average (≈11.5)
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 larceny2— 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.

simpledomesticaggravatedhandguntelephoneunlawfulharassmentfraudweaponpossessionfinancialidentitythreatforcibleordercuttinginstrumentknifeconfidenceelectronicgamemeansprotectionviolatebuilding
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
020440712am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0424848MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0255509JanFebMarAprMayJunJulAugSepOctNovDec
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.