CINCINNATI · 5.2K residents

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.

OTHER LARCENY · 24-MO COUNT04 2026 · 7
051012-mo avg: 5.2
MT. AUBURNCITYWIDE TREND (RESCALED)+4% 12MO YOY
-22%MoM
+38%12mo YoY
62last 12mo
7this month
01 · TL;DR

April 2026 was a quiet month in Mt. Auburn — no tracked category crossed any anomaly threshold, and the flag count was zero across the board. The story this month is structural rather than acute: the 12-month totals show a mixed but shifting picture across crime categories.

Aggravated assault is up 38.5% against the prior 12 months, 18 incidents vs. 13, and other larceny has risen 37.8%, 62 incidents vs. 45. Theft from vehicle also moved higher, 91 incidents vs. 82, a 11.0% increase. On the other side, robbery is down 33.3% over the same window, 6 incidents vs. 9, and sexual assault is down 40.0%, 3 incidents vs. 5. Motor vehicle theft edged lower as well, off 9.4% year over year.

No signals this month
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
2024-052026-04
Robberybelow threshold
2024-052026-04
Aggravated Assault+39%
2024-052026-04
Sexual Assaultbelow threshold
2024-052026-04
Burglary+7%
2024-052026-04
Theft from Vehicle+11%
2024-052026-04
Other Larceny+38%
2024-052026-04
Motor Vehicle Theft-9%
2024-052026-04
05 · Forecast

What next month likely looks like

Forecasts trained through April 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

APRIL 2027
Most likely 3 next month — likely between 0 and 8.
28% vs 12-month average (≈4.0)

Other Larceny

APRIL 2027
Most likely 5 next month — likely between 1 and 9.
3% vs 12-month average (≈5.2)

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

APRIL 2027
Most likely 8 next month — likely between 3 and 14.
+9% vs 12-month average (≈7.6)
06 · Context & comps

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.”

SPATIAL SPILLOVER · NEW

Do crime spikes here spill over to adjacent neighborhoods?

Mt. Auburndoesn'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. Auburn historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Theft from vehicle1— too few

Each row shows Mt. Auburn's historical spike events for that category, and how often any of its 6 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. Auburn, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

partpersonalstrangulationrape
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
010420812am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0143286MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0101201JanFebMarAprMayJunJulAugSepOctNovDec
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.