SUSTAINED DROP · BURGLARYAPRIL 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.

BURGLARY · 24-MO COUNT04 2026 · 3
061312-mo avg: 3.1
ASHBURNCITYWIDE TREND (RESCALED)-19% 12MO YOY
-25%MoM
-58%12mo YoY
37last 12mo
3this month
01 · TL;DR

Two sustained structural shifts define April 2026 in Ashburn — burglary and motor vehicle theft, both running well below where they stood a year ago. No spikes, no rare events, no streak breaks; the month's signal is entirely a downward one across two of the neighborhood's higher-volume property categories.

Burglary is down 57.5% over the trailing 12 months — 37 incidents against 87 in the prior year — making it the sharper of the two moves. Motor vehicle theft is down 34.0%, 229 incidents against 347. Both are classified as sustained shifts, meaning the change is structural across multiple months, not a single quiet period. The rest of the tracked categories, including aggravated assault (down 16.5%) and other larceny (down 13.8%), moved in the same direction but fell below the threshold for a formal signal.

2 sustained shifts
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
2024-052026-04
Robbery-26%
2024-052026-04
Aggravated Assault-17%
2024-052026-04
Sexual Assault+4%
2024-052026-04
Burglary-58%
2024-052026-04
Other Larceny-14%
2024-052026-04
Motor Vehicle Theft-34%
2024-052026-04
Vandalism-16%
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 11.
+20% vs 12-month average (≈3.1)

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 30 next month — likely between 12 and 47.
+57% vs 12-month average (≈19.1)

Other Larceny

MAY 2026
Most likely 29 next month — likely between 12 and 45.
+6% vs 12-month average (≈27.5)

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

MAY 2026
Most likely 18 next month — likely between 7 and 31.
+1% vs 12-month average (≈18.3)
06 · Context & comps

How Ashburn compares

Peer neighborhoods picked by closest 12-month burglary 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 burglary 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 assault4— too few
Motor vehicle theft1— 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.

simpledomesticaggravatedhandguntelephoneharassmentfinancialidentityfraudthreatunlawfulelectronicmeansretailweaponpossessionfeetfistshandsinjurydangerousrecoverycardcuttinginstrument
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
032064012am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
07481,496MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0484968JanFebMarAprMayJunJulAugSepOctNovDec
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.