SPIKE · AGGRAVATED ASSAULTJUNE 2026 BRIEFINGCINCINNATI · 3.4K residents

Millvale Crime Rate Trends — Cincinnati

Millvale is a small West End neighborhood along Beekman Street and the Mill Creek Valley north of South Cumminsville. Predominantly low-density residential with significant public housing and adjacent industrial land.

AGGRAVATED ASSAULT · 24-MO COUNT06 2026 · 2
03612-mo avg: 2.1
MILLVALECITYWIDE TREND (RESCALED)+1% 12MO YOY
+100%MoM
+127%12mo YoY
25last 12mo
2this month
01 · TL;DR

June 2026 produced two spikes in Millvale — aggravated assault and other larceny — against a backdrop where most other tracked categories are running below their prior-year levels. The shape of the month is narrow: two categories pushed above trend while the rest of the portfolio moved in the opposite direction.

Aggravated assault is the more structurally significant of the two. The trailing 12-month total stands at 25 incidents, up 127.3% against the prior 12 months (11 incidents). Burglary, by contrast, has fallen to 14 incidents from 31 — down 54.8% — and robbery is down 33.3% to just 4 incidents. Other larceny climbed 18.5% year-over-year to 32 incidents, which alongside the assault move suggests the current pressure is concentrated in person-level and opportunistic crime rather than property crime broadly.

2 spikes
02 · Notable signals

Notable signals 2

SPIKE · AGGRAVATED ASSAULT

Aggravated Assault

The past 12 months saw 25 incidents — about 156% above the 10 average from prior years.

SPIKE · OTHER LARCENY

Other Larceny

The past 12 months saw 32 incidents — about 99% above the 16 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
2024-072026-06
Robberybelow threshold
2024-072026-06
Aggravated Assault+127%
2024-072026-06
Sexual Assaultbelow threshold
2024-072026-06
Burglary-55%
2024-072026-06
Theft from Vehicle-8%
2024-072026-06
Other Larceny+19%
2024-072026-06
Motor Vehicle Theft-29%
2024-072026-06
05 · Forecast

What next month likely looks like

Forecasts trained through June 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

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

NO FORECAST

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

Other Larceny

JULY 2026
Most likely 2 next month — likely between 0 and 4.
32% vs 12-month average (≈2.7)

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

NO FORECAST

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

06 · Context & comps

How Millvale compares

Peer neighborhoods picked by closest 12-month aggravated assault 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 aggravated assault levels.”

SPATIAL SPILLOVER · NEW

Do crime spikes here spill over to adjacent neighborhoods?

Millvaledoesn'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.

Millvale historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Aggravated assault2— too few
Other larceny2— too few

Each row shows Millvale's historical spike events for that category, and how often any of its 5 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 Millvale, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

partpersonalhomicidestrangulation
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
0316212am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
059118MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
03775JanFebMarAprMayJunJulAugSepOctNovDec
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.