SPIKE · SEXUAL ASSAULTSEPTEMBER 2026 BRIEFINGCHICAGO · 42.0K residents

Ashburn Crime Rate Trends — Chicago

Ashburn is a Southwest Side residential neighborhood between Western Avenue and Cicero Avenue, anchored by the 79th Street commercial corridor. Predominantly mid-century single-family bungalows and ranch homes, with Bogan High School and Wrightwood Park as community anchors.

SEXUAL ASSAULT · 24-MO COUNT09 2026 · 3
03712-mo avg: 2.9
ASHBURNCITYWIDE TREND (RESCALED)+5% 12MO YOY
-40%MoM
+17%12mo YoY
35last 12mo
3this month
01 · TL;DR

September 2026 produced a single notable signal in Ashburn: a spike in sexual assault. Every other tracked category either held within its normal range or continued a longer downward trend. The month's overall shape is calm, with one category pulling against an otherwise broadly declining backdrop.

Sexual assault reached 35 incidents over the trailing 12 months, up from 30 in the prior year, a 16.7% increase and the one category that registered above trend. Aggravated assault and burglary both continued moving in the other direction, down 23.7% and 17.5% respectively against prior-year totals, and homicide fell from 5 to 1 over the same window. The rest of the tracked categories, robbery, other larceny, motor vehicle theft, and vandalism, each shifted less than 12% year over year and generated no anomalous signals this month.

1 spike
02 · Notable signals

Notable signals 1

SPIKE · SEXUAL ASSAULT

Sexual Assault

The past 12 months saw 35 incidents — about 85% above the 19 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
2024-102026-09
Robbery+11%
2024-102026-09
Aggravated Assault-24%
2024-102026-09
Sexual Assault+17%
2024-102026-09
Burglary-18%
2024-102026-09
Other Larceny-6%
2024-102026-09
Motor Vehicle Theft-6%
2024-102026-09
Vandalism-5%
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 2 next month — likely between 0 and 9.
−44% vs 12-month average (≈3.9)

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 34 next month — likely between 14 and 51.
+72% vs 12-month average (≈19.6)

Other Larceny

OCTOBER 2026
Most likely 31 next month — likely between 15 and 47.
+13% vs 12-month average (≈27.4)

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

OCTOBER 2026
Most likely 24 next month — likely between 13 and 36.
+29% vs 12-month average (≈18.8)
06 · Context & comps

How Ashburn compares

Peer neighborhoods picked by closest 12-month sexual assault 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 sexual assault levels.”

SPATIAL SPILLOVER · NEW

Do crime spikes here spill over to adjacent neighborhoods?

Ashburndoesn'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.

Ashburn historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Sexual assault2— too few

Each row shows Ashburn's historical spike events for that category, and how often any of its 4 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 Ashburn, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

simpledomesticaggravatedhandguntelephonefinancialharassmentidentityfraudthreatunlawfulretailconfidencegameweaponforciblepossessionelectronicmeanscuttinginstrumentknifeorderdangerousrecovery
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
033967912am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
07841,568MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
05091,018JanFebMarAprMayJunJulAugSepOctNovDec
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.