SPIKE · OTHER LARCENYJUNE 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 COUNT06 2026 · 2
071412-mo avg: 8.0
MT. AIRYCITYWIDE TREND (RESCALED)+2% 12MO YOY
-75%MoM
+3%12mo YoY
96last 12mo
2this month
01 · TL;DR

June 2026 produced two signals in Mt. Airy — one spike, one sustained structural shift — against a backdrop where most tracked categories held within normal range. The month's shape is narrow but meaningful: a one-month above-trend move in other larceny sits alongside a multi-year downward shift in motor vehicle theft.

Other larceny posted 96 incidents over the trailing 12 months against a multi-year baseline mean of 67.51 — the gap that drove the spike signal. Motor vehicle theft tells the opposite story: 49 incidents in the current 12 months against 86 in the prior year, a 43.0% structural decline that now reads as a sustained shift rather than a single quiet month. Robbery and aggravated assault also ran well below prior-year levels — down 70.8% and 35.3% respectively — though neither crossed the threshold for a formal signal this period.

1 spike1 sustained shift
02 · Notable signals

Notable signals 1

SPIKE · OTHER LARCENY

Other Larceny

The past 12 months saw 96 incidents — about 42% above the 68 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-35%
2024-072026-06
Sexual Assaultbelow threshold
2024-072026-06
Burglary+31%
2024-072026-06
Theft from Vehicle-2%
2024-072026-06
Other Larceny+3%
2024-072026-06
Motor Vehicle Theft-43%
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

JULY 2026
Most likely 5 next month — likely between 2 and 8.
+72% vs 12-month average (≈2.8)

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

JULY 2026
Most likely 11 next month — likely between 3 and 18.
+163% vs 12-month average (≈4.1)

Other Larceny

JULY 2026
Most likely 8 next month — likely between 4 and 12.
0% vs 12-month average (≈8.0)

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

JULY 2026
Most likely 3 next month — likely between 0 and 8.
2% vs 12-month average (≈3.5)
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

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
011122212am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0168337MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0111221JanFebMarAprMayJunJulAugSepOctNovDec
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.