SPIKE · OTHER LARCENYAPRIL 2026 BRIEFINGCHICAGO · 41.7K residents

Lincoln Square Crime Rate Trends — Chicago

Lincoln Square is a North Side neighborhood organized around Lawrence Avenue and Western Avenue, anchored by the historic Lincoln Square pedestrian plaza and the Old Town School of Folk Music. Predominantly two- and three-flat housing, with the CTA Brown Line's Western station as transit anchor.

OTHER LARCENY · 24-MO COUNT04 2026 · 97
05611212-mo avg: 65.7
LINCOLN SQUARECITYWIDE TREND (RESCALED)-5% 12MO YOY
+54%MoM
+18%12mo YoY
788last 12mo
97this month
01 · TL;DR

Three categories moved in Lincoln Square in April 2026 — one fresh spike and two sustained structural shifts, both running downward. The structural pattern across property crime is broadly negative, with burglary and vandalism each showing multi-month declines rather than single-month noise.

Other larceny is the spike: the current 12-month total of 788 sits well above a baseline mean of 601.12, and up 17.6% against the prior 12 months (670). That upward pressure on larceny contrasts with the rest of the property picture — burglary is down 35.5% over the same period (60 vs. 93), and vandalism is down 28.5% (176 vs. 246). Every other tracked category in Lincoln Square was within range this month.

1 spike2 sustained shifts
02 · Notable signals

Notable signals 1

SPIKE · OTHER LARCENY

Other Larceny

The past 12 months saw 788 incidents — about 31% above the 601 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-18%
2024-052026-04
Sexual Assault+65%
2024-052026-04
Burglary-36%
2024-052026-04
Other Larceny+18%
2024-052026-04
Motor Vehicle Theft-27%
2024-052026-04
Vandalism-29%
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 4 next month — likely between 0 and 12.
22% vs 12-month average (≈5.0)

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 12 next month — likely between 2 and 21.
+35% vs 12-month average (≈8.5)

Other Larceny

MAY 2026
Most likely 63 next month — likely between 45 and 81.
4% vs 12-month average (≈65.7)

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 18 next month — likely between 8 and 30.
+24% vs 12-month average (≈14.7)
06 · Context & comps

How Lincoln Square 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?

When Lincoln Square has spiked other larceny historically (9 events on record), an adjacent neighborhood spiked the same category within 3 months 77.8% of the time. The strongest-travelling categories sit at the top of the table.

Lincoln Square historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Other larceny977.8%

Each row shows Lincoln Square's historical spike events for that category, and how often any of its 8 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 Lincoln Square, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

simpleretailfraudaggravateddomesticfinancialbuildingidentityconfidencegamelandharassmentfeetfistshandsinjurytelephoneunlawfulminorcardorderforcibleemployeeprotectedelectronic
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
033667212am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
08181,637MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
05201,041JanFebMarAprMayJunJulAugSepOctNovDec
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.