Mt. Auburn Crime Rate Trends — Cincinnati
Mt. Auburn is a hillside neighborhood immediately north of downtown, between Over-the-Rhine and Walnut Hills. Mostly historic Italianate and Queen Anne homes on steep streets, with the Christ Hospital medical campus along Auburn Avenue at the south end.
August 2026 was a quiet month for Mt. Auburn. No tracked category crossed an anomaly threshold, and the signal count for the period is zero across all types, no spikes, no drops, no rare events, no structural shifts.
The 12-month picture has more texture. Aggravated assault is up 80.0% against the prior year, 18 incidents vs. 10, the sharpest directional move in the data. Other larceny also rose, 66 incidents vs. 44, up 50.0%. Running the other way: motor vehicle theft is down 30.4% (39 vs. 56), sexual assault down 60.0% (2 vs. 5), and burglary down 17.6% (14 vs. 17). Those year-over-year shifts are structural context for the neighborhood, but none broke through into a signal this month.
Notable signals 0
Nothing notable surfaced this month — every category sits within normal range against its baseline.
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.
What's been quietly true for a year
Spikes get attention. Sustained shifts shape policy. These are multi-quarter patterns where the past 12-month total differs meaningfully from the year before — they often precede the baseline resetting.
No sustained shifts surfaced this month.
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
Too low-volume per neighborhood for a reliable point forecast — see the rare-event and streak-break signals above instead.
Burglary
Below the volume threshold for a reliable forecast — too few incidents in recent months to project from.
Homicide
Too low-volume per neighborhood for a reliable point forecast — see the rare-event and streak-break signals above instead.
Motor Vehicle Theft
Other Larceny
Robbery
Too low-volume per neighborhood for a reliable point forecast — see the rare-event and streak-break signals above instead.
Sexual Assault
Too low-volume per neighborhood for a reliable point forecast — see the rare-event and streak-break signals above instead.
Theft from Vehicle
How Mt. Auburn 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.”
Lower Price Hill_Queensgate
69 incidents over the past 12 months — 3 above Mt. Auburn's 66.
Open page →Madisonville
63 incidents over the past 12 months — 3 below Mt. Auburn's 66.
Open page →Bond Hill
57 incidents over the past 12 months — 9 below Mt. Auburn's 66.
Open page →Recurring local terms (last 12 months)
Top terms in incident descriptions for Mt. Auburn, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.
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.
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.