CINCINNATI · 6.4K residents

Downtown Crime Rate Trends — Cincinnati

Downtown is Cincinnati's central business district, bounded by the Ohio River, Central Parkway, and the I-71 trench. Anchored by Fountain Square, the Banks riverfront entertainment district, and the financial-services towers along Fourth and Fifth streets.

OTHER LARCENY · 24-MO COUNT04 2026 · 25
0244812-mo avg: 28.3
DOWNTOWNCITYWIDE TREND (RESCALED)+4% 12MO YOY
-22%MoM
+2%12mo YoY
340last 12mo
25this month
01 · TL;DR

April 2026 was a quiet month for Downtown Cincinnati. No tracked category crossed an anomaly threshold — zero signals of any type across all tracked crime categories.

The 12-month totals provide the more useful read this month. Theft from vehicle is up 16.5% against the prior year (423 incidents vs 363), and sexual assault is up 71.4% over the same window (12 vs 7) — a small base, but a meaningful directional move worth watching. On the other side, motor vehicle theft is down 21.4% (77 vs 98) and robbery is down 14.8% (52 vs 61). Everything else — burglary, other larceny, aggravated assault — is within a few percent of the prior year. No single-month signals fired, but the 12-month drift in theft from vehicle and sexual assault is the underlying pattern to track.

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
Robbery-15%
2024-052026-04
Aggravated Assault+13%
2024-052026-04
Sexual Assault+71%
2024-052026-04
Burglary-4%
2024-052026-04
Theft from Vehicle+17%
2024-052026-04
Other Larceny+2%
2024-052026-04
Motor Vehicle Theft-21%
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

APRIL 2027
Most likely 7 next month — likely between 1 and 13.
+16% vs 12-month average (≈6.2)

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 5 next month — likely between 1 and 10.
20% vs 12-month average (≈6.4)

Other Larceny

APRIL 2027
Most likely 28 next month — likely between 17 and 38.
1% vs 12-month average (≈28.3)

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

APRIL 2027
Most likely 40 next month — likely between 22 and 57.
+12% vs 12-month average (≈35.3)
06 · Context & comps

How Downtown 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?

When Downtown has spiked other larceny historically (14 events on record), an adjacent neighborhood spiked the same category within 3 months 100% of the time. The strongest-travelling categories sit at the top of the table.

Downtown historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Other larceny14100%
Theft from vehicle13100%
Robbery120%
Motor vehicle theft100%
Burglary10100%
Aggravated assault580%

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

partpersonalrapestrangulationhomicide
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
019138212am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0499999MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0250499JanFebMarAprMayJunJulAugSepOctNovDec
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.