CHICAGO · 6.9K residents

Oakland Crime Rate Trends — Chicago

Oakland is a small South Side lakefront neighborhood between Bronzeville and Kenwood, organized around the Metra Electric line. Predominantly mid-century apartment buildings; bordered by Lake Michigan to the east and Mandrake Park along the lakefront.

OTHER LARCENY · 24-MO COUNT03 2026 · 18
0142812-mo avg: 13.8
OAKLANDCITYWIDE TREND (RESCALED)-4% 12MO YOY
+29%MoM
+4%12mo YoY
166last 12mo
18this month
01 · TL;DR

March 2026 was a quiet month for Oakland. No tracked category crossed the anomaly threshold — zero signals across the full crime mix, with every category landing within its expected range for the period.

The 12-month picture is more varied. Robbery is down 47.8% against the prior year — 12 incidents vs. 23 — the sharpest directional move in the data. Motor Vehicle Theft and Vandalism both ran above prior-year levels, up 22.9% and 20.2% respectively, while Burglary edged up 30.0% on a small base (13 vs. 10). Aggravated Assault is down 9.3% over the same window. None of these produced a single-month signal this period, which means the year-over-year shifts are gradual structural moves rather than acute changes.

No signals this month
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
2024-042026-03
Robbery-48%
2024-042026-03
Aggravated Assault-9%
2024-042026-03
Sexual Assaultbelow threshold
2024-042026-03
Burglary+30%
2024-042026-03
Other Larceny+4%
2024-042026-03
Motor Vehicle Theft+23%
2024-042026-03
Vandalism+20%
2024-042026-03
Arsonbelow threshold
2024-042026-03
05 · Forecast

What next month likely looks like

Forecasts trained through March 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

NO FORECAST

Below the volume threshold for a reliable forecast — too few incidents in recent months to project from.

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

APRIL 2026
Most likely 16 next month — likely between 7 and 24.
+39% vs 12-month average (≈11.2)

Other Larceny

APRIL 2026
Most likely 8 next month — likely between 3 and 14.
39% vs 12-month average (≈13.8)

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

APRIL 2026
Most likely 10 next month — likely between 4 and 16.
7% vs 12-month average (≈10.9)
06 · Context & comps

How Oakland 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.”

07 · Patterns

Recurring local terms (last 12 months)

Top terms in incident descriptions for Oakland, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

simpledomestichandgunaggravatedunlawfulbuildingfinancialidentitypossessionharassmenttelephonerecoveryweapondangerousfraudorderelectronicmeansprotectionthreatviolatecardrecklessdischargefeet
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
013326512am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0281562MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0176352JanFebMarAprMayJunJulAugSepOctNovDec
08 · Methodology

How we built this page

Data → Anomalies → Forecast → Page

Incident data is pulled from SFPD's open dataset, mapped to 10 NIBRS-aligned categories, and aggregated to neighborhood × 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.