CINCINNATI · 6.3K residents

Walnut Hills Crime Rate Trends — Cincinnati

Walnut Hills is a hillside neighborhood east of Over-the-Rhine, organized around Peebles' Corner at McMillan Street and Gilbert Avenue. Anchored by the historic May Festival Choral Hall and the East McMillan and Gilbert Avenue commercial corridors, with hillside residential blocks of Victorian and early-20th-century homes.

OTHER LARCENY · 24-MO COUNT04 2026 · 7
0122312-mo avg: 10.5
WALNUT HILLSCITYWIDE TREND (RESCALED)+4% 12MO YOY
-30%MoM
-7%12mo YoY
126last 12mo
7this month
01 · TL;DR

April 2026 was a quiet month for Walnut Hills. No tracked category crossed an anomaly threshold — zero signals across all flag types — making this one of the calmer briefing periods in recent data.

The 12-month picture behind that quiet month is broadly downward across violent and property crime. Robbery is down 40.7% against the prior 12 months (16 incidents vs. 27), aggravated assault is down 19.4% (25 vs. 31), and motor vehicle theft is down 23.6% (81 vs. 106). Burglary follows the same direction at -22.9%. Theft from vehicle is the one flat line — 128 incidents against 127 in the prior year, essentially unchanged — while everything else in the tracked set is running below prior-year levels.

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
2024-052026-04
Robbery-41%
2024-052026-04
Aggravated Assault-19%
2024-052026-04
Sexual Assaultbelow threshold
2024-052026-04
Burglary-23%
2024-052026-04
Theft from Vehicle+1%
2024-052026-04
Other Larceny-7%
2024-052026-04
Motor Vehicle Theft-24%
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 3 next month — likely between 0 and 9.
42% vs 12-month average (≈5.3)

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 0 and 12.
23% vs 12-month average (≈6.8)

Other Larceny

APRIL 2027
Most likely 10 next month — likely between 3 and 16.
9% vs 12-month average (≈10.5)

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 10 next month — likely between 0 and 19.
8% vs 12-month average (≈10.7)
06 · Context & comps

How Walnut Hills 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 Walnut Hills has spiked other larceny historically (5 events on record), an adjacent neighborhood spiked the same category within 3 months 100% of the time. The strongest-travelling categories sit at the top of the table.

Walnut Hills historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Other larceny5100%

Each row shows Walnut Hills's historical spike events for that category, and how often any of its 8 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 Walnut Hills, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

partpersonalrapehomicidestrangulation
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
016332712am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0276552MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0182364JanFebMarAprMayJunJulAugSepOctNovDec
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.