ZERO EVENT · HOMICIDEJUNE 2026 BRIEFINGCINCINNATI · 3.5K residents

Mt. Lookout Crime Rate Trends — Cincinnati

Mt. Lookout is an east-side hillside neighborhood organized around Mt. Lookout Square at the intersection of Linwood and Delta avenues. Predominantly single-family residential, with Ault Park and the Lookout overlook on the eastern edge above the Little Miami valley.

HOMICIDE · 24-MO COUNT06 2026 · 0
01112-mo avg: 0.0
MT. LOOKOUTCITYWIDE TREND (RESCALED)-27% 12MO YOY
MoM
12mo YoY
0last 12mo
0this month
01 · TL;DR

June 2026 was a quiet month in Mt. Lookout. The one signal across all tracked categories was a zero-event result for Homicide — a category that surfaced no incidents in the current window. No spikes, drops, or sustained shifts registered anywhere else.

Property crime continued its longer downward trend in the background. Burglary is down 75.0% over the trailing 12 months — 2 incidents against 8 in the prior year. Theft from Vehicle fell 28.6% over the same period (15 vs. 21). Other Larceny moved the other direction, up 40.0% year-over-year on small absolute counts (7 vs. 5), and Motor Vehicle Theft was roughly flat at 7.1% above the prior year.

1 zero-event
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
2024-072026-06
Robberybelow threshold
2024-072026-06
Aggravated Assaultbelow threshold
2024-072026-06
Sexual Assaultbelow threshold
2024-072026-06
Burglarybelow threshold
2024-072026-06
Theft from Vehicle-29%
2024-072026-06
Other Larcenybelow threshold
2024-072026-06
Motor Vehicle Theft+7%
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

NO FORECAST

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

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 Mt. Lookout compares

Peer neighborhoods picked by closest 12-month homicide 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 homicide levels.”

07 · Patterns

Recurring local terms (last 12 months)

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

partpersonalrape
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
0234512am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
02345MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
01530JanFebMarAprMayJunJulAugSepOctNovDec
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.