SPIKE · OTHER LARCENYAUGUST 2026 BRIEFINGCINCINNATI · 12.4K residents

Oakley Crime Rate Trends — Cincinnati

Oakley is an east-side neighborhood organized around Oakley Square at Madison Road and Markbreit Avenue, between Hyde Park and Pleasant Ridge. A mix of historic single-family homes and former industrial sites redeveloped as the Oakley Station mixed-use district.

OTHER LARCENY · 24-MO COUNT08 2026 · 23
0397812-mo avg: 45.1
OAKLEYCITYWIDE TREND (RESCALED)+1% 12MO YOY
-4%MoM
+32%12mo YoY
541last 12mo
23this month
01 · TL;DR

August 2026 produced two signals in Oakley, both centered on a single category. Other larceny registered as both a one-month spike and a sustained structural shift, meaning the category is running above its multi-year baseline and has been doing so across several months, not just this period.

Over the trailing 12 months, other larceny reached 541 incidents, up 32.3% from 409 the year before. Elsewhere, the picture is mixed: robbery doubled year-over-year, 10 incidents against 5, though at those volumes the move is fragile. Motor vehicle theft fell 38.7% and aggravated assault dropped 62.5%, each against a prior 12 months that were themselves modest. Every other tracked category stayed within a normal range this month.

1 spike1 sustained shift
02 · Notable signals

Notable signals 1

SPIKE · OTHER LARCENY

Other Larceny

The past 12 months saw 541 incidents — about 69% above the 320 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+100%
2024-092026-08
Aggravated Assaultbelow threshold
2024-092026-08
Sexual Assaultbelow threshold
2024-092026-08
Burglary-25%
2024-092026-08
Theft from Vehicle+24%
2024-092026-08
Other Larceny+32%
2024-092026-08
Motor Vehicle Theft-39%
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.

Burglary

SEPTEMBER 2026
Most likely 3 next month — likely between 0 and 7.
1% vs 12-month average (≈2.8)

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 5 next month — likely between 1 and 9.
+62% vs 12-month average (≈3.2)

Other Larceny

SEPTEMBER 2026
Most likely 44 next month — likely between 25 and 63.
3% vs 12-month average (≈45.1)

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.

Theft from Vehicle

SEPTEMBER 2026
Most likely 6 next month — likely between 0 and 12.
13% vs 12-month average (≈6.8)
06 · Context & comps

How Oakley 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?

Oakleydoesn'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.

Oakley historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Other larceny1— too few

Each row shows Oakley'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 Cincinnati); 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 Oakley, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

personalparthomiciderapestrangulation
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
016132212am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0318637MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0202405JanFebMarAprMayJunJulAugSepOctNovDec
08 · Methodology

How we built this page

Data → Anomalies → Forecast → Page

Incident data is pulled from Cincinnati Open Data — STARS Category Offenses post-2024-06-03 plus PDI Crime Incidents back to 2020 — mapped to 8 UCR-aligned categories (vandalism and arson aren't recoverable across the STARS migration boundary). Aggregated to Statistical Neighborhood Approximation × 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.