SPIKE · OTHER LARCENYSEPTEMBER 2026 BRIEFINGCINCINNATI · 8.1K residents

Mt. Airy Crime Rate Trends — Cincinnati

Mt. Airy is a far west neighborhood organized around the 1,400-acre Mt. Airy Forest, the largest park in Cincinnati. Predominantly single-family residential with the forest dominating its western edge along North Bend and Colerain Avenue.

OTHER LARCENY · 24-MO COUNT09 2026 · 10
071412-mo avg: 8.3
MT. AIRYCITYWIDE TREND (RESCALED)-1% 12MO YOY
+11%MoM
0%12mo YoY
99last 12mo
10this month
01 · TL;DR

Two categories moved in Mt. Airy this September, both above trend. The shape of the month is narrow but pointed: a pair of spikes in other larceny and aggravated assault, with the remaining tracked categories either flat or within their normal year-over-year range.

Other larceny is the stronger of the two signals, with a trailing 12-month total of 99 incidents against 99 in the prior year, a flat annual rate that makes the single-month spike stand out against the historical pattern. Aggravated assault has also risen over the longer window, 34 incidents in the current 12 months versus 30 in the year before, a 13.3% increase. Burglary and theft from vehicle are both up year-over-year, 44.0% and 22.0% respectively, though neither crossed the anomaly threshold this month. Robbery is the outlier in the other direction, down 60.0% over 12 months, 8 incidents against 20 in the prior period.

2 spikes
02 · Notable signals

Notable signals 2

SPIKE · OTHER LARCENY

Other Larceny

The past 12 months saw 99 incidents — about 46% above the 68 average from prior years.

SPIKE · AGGRAVATED ASSAULT

Aggravated Assault

The past 12 months saw 34 incidents — about 112% 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
2024-102026-09
Robberybelow threshold
2024-102026-09
Aggravated Assault+13%
2024-102026-09
Sexual Assault+150%
2024-102026-09
Burglary+44%
2024-102026-09
Theft from Vehicle+22%
2024-102026-09
Other Larceny0%
2024-102026-09
Motor Vehicle Theft+12%
2024-102026-09
05 · Forecast

What next month likely looks like

Forecasts trained through September 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

OCTOBER 2026
Most likely 1 next month — likely between 0 and 4.
−61% vs 12-month average (≈3.0)

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

OCTOBER 2026
Most likely 7 next month — likely between 0 and 15.
+56% vs 12-month average (≈4.8)

Other Larceny

OCTOBER 2026
Most likely 8 next month — likely between 4 and 12.
−1% vs 12-month average (≈8.3)

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

OCTOBER 2026
Most likely 6 next month — likely between 2 and 10.
+37% vs 12-month average (≈4.2)
06 · Context & comps

How Mt. Airy 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?

Mt. Airydoesn'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.

Mt. Airy historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Other larceny2— too few
Aggravated assault1— too few

Each row shows Mt. Airy'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 Mt. Airy, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

partpersonalstrangulationrapehomicide
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
011923912am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0176352MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0123245JanFebMarAprMayJunJulAugSepOctNovDec
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.