SPIKE · SEXUAL ASSAULTAUGUST 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 COUNT08 2026 · 4
03712-mo avg: 2.8
ASHBURNCITYWIDE TREND (RESCALED)+1% 12MO YOY
-33%MoM
+7%12mo YoY
33last 12mo
4this month
01 · TL;DR

August 2026 brought two signals in Ashburn, a narrow month but not a routine one. The leading signal is a one-month spike in sexual assault, and burglary has registered as a sustained structural shift downward, a multi-month move rather than a single quiet period. Everything else tracked within normal range.

Burglary is down 43.3% over the trailing 12 months, 38 incidents against 67 in the prior year, and the sustained-shift classification means that gap reflects a durable change in pattern, not a one-month aberration. Sexual assault reached 33 incidents over the current 12-month window, up from 31 in the prior year, with the spike driven by the single-month figure. Aggravated assault and motor vehicle theft both continued running below their prior-year levels, down 24.1% and 16.1% respectively, but neither crossed a signal threshold this month.

1 spike1 sustained shift
02 · Notable signals

Notable signals 1

SPIKE · SEXUAL ASSAULT

Sexual Assault

The past 12 months saw 33 incidents — about 75% 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
2024-092026-08
Robbery+15%
2024-092026-08
Aggravated Assault-24%
2024-092026-08
Sexual Assault+7%
2024-092026-08
Burglary-43%
2024-092026-08
Other Larceny-5%
2024-092026-08
Motor Vehicle Theft-16%
2024-092026-08
Vandalism-2%
2024-092026-08
Arsonbelow threshold
2024-092026-08
05 · Forecast

What next month likely looks like

Forecasts trained through August 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

SEPTEMBER 2026
Most likely 6 next month — likely between 0 and 12.
+95% vs 12-month average (≈3.2)

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

SEPTEMBER 2026
Most likely 28 next month — likely between 11 and 47.
+45% vs 12-month average (≈19.2)

Other Larceny

SEPTEMBER 2026
Most likely 32 next month — likely between 16 and 48.
+13% vs 12-month average (≈28.1)

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

SEPTEMBER 2026
Most likely 19 next month — likely between 8 and 30.
+1% vs 12-month average (≈19.3)
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 assault1— 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.

simpledomesticaggravatedhandguntelephonefinancialharassmentidentityfraudretailthreatconfidencegameunlawfulweaponcuttinginstrumentknifedangerouselectronicmeansorderpossessionforciblearmed
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
033366712am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
07761,552MonTueWedThuFriSatSun
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.