SPIKE · OTHER LARCENYAPRIL 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 COUNT04 2026 · 30
0397712-mo avg: 45.5
OAKLEYCITYWIDE TREND (RESCALED)+4% 12MO YOY
-25%MoM
+49%12mo YoY
546last 12mo
30this month
01 · TL;DR

April 2026 produced two signals in Oakley, both concentrated in a single category: other larceny registered both a one-month spike and a structural sustained shift — meaning the elevated count isn't just a noisy month but part of a longer-running pattern.

Other larceny's 12-month total reached 546 incidents, up 48.8% against the prior year's 367 and well above the multi-year baseline. Every other tracked category was within its normal range — motor vehicle theft is down 21.3% over 12 months, aggravated assault is down 80.0% (though off a small base of 10 prior-year incidents), and burglary and theft from vehicle both ran modestly below their prior-year levels. Robbery is the one counterpoint, up 66.7% year-over-year, though the raw counts remain low at 10 current vs. 6 prior.

1 spike1 sustained shift
02 · Notable signals

Notable signals 1

SPIKE · OTHER LARCENY

Other Larceny

The past 12 months saw 546 incidents — about 73% above the 315 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
2024-052026-04
Robbery+67%
2024-052026-04
Aggravated Assaultbelow threshold
2024-052026-04
Sexual Assaultbelow threshold
2024-052026-04
Burglary-9%
2024-052026-04
Theft from Vehicle-5%
2024-052026-04
Other Larceny+49%
2024-052026-04
Motor Vehicle Theft-21%
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.

Burglary

APRIL 2027
Most likely 2 next month — likely between 0 and 6.
53% vs 12-month average (≈3.3)

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 2027
Most likely 5 next month — likely between 2 and 9.
+29% vs 12-month average (≈4.0)

Other Larceny

APRIL 2027
Most likely 43 next month — likely between 26 and 59.
6% vs 12-month average (≈45.5)

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.

Theft from Vehicle

APRIL 2027
Most likely 4 next month — likely between 0 and 9.
36% vs 12-month average (≈6.2)
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?

When Oakley has spiked motor vehicle theft historically (5 events on record), an adjacent neighborhood spiked the same category within 3 months 80% of the time. The strongest-travelling categories sit at the top of the table.

Oakley historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Motor vehicle theft580%
Other larceny50%

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
015230512am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0302604MonTueWedThuFriSatSun
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.