Yearly Traffic Safety Analysis

14,086 CRASHES IN
CINCINNATI, OH
2025

All metrics benchmarked against2024

In 2025, Cincinnati experienced 14086 total crashes, a decrease of 0.66% from the 14180 crashes recorded in 2024. The most significant year-over-year shift was a 30% reduction in total fatalities, falling from 30 in 2024 to 21 in 2025.

14,086

▼ -0.7%was 14,180

Total Crash Events

▼ -30.0%was 30

Persons Killed

4,090

▼ -6.2%was 4,359

Persons Injured

4,082

▼ -0.8%was 4,113

Hit-and-Run Crashes

Note: "Persons Killed" (21) counts individual fatalities across all crash events. "Fatal" in the severity table below (21) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash data for Cincinnati shows a declining trend year-over-year, with total crashes decreasing by 0.66% from 14180 to 14086. Fatalities saw a significant reduction of 30%, dropping from 30 in 2024 to 21 in 2025. Similarly, total injuries decreased by 6.17%, from 4359 to 4090.

4,082

Hit-and-Run Crashes — 2025

▼ -0.8% vs prior (4,113)

The number of hit-and-run crashes decreased by 0.75%, from 4113 in 2024 to 4082 in 2025. The hit-and-run rate remained stable at 29% of all crashes for both periods.

Vulnerable Road User Casualties

Pedestrians Killed

Prior: 6↓-16.7%

Motorists Killed

Prior: 24↓-33.3%

247

Pedestrians Injured

Prior: 295↓-16.3%

3,843

Motorists Injured

Prior: 4,064↓-5.4%

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak day for crashes remained Friday in both periods, though the number of crashes on Fridays decreased by 5.43%, from 2395 in 2024 to 2265 in 2025. The peak hour for crashes also remained 4 p.m., with an increase of 4.5% in crashes during this hour, from 1132 in 2024 to 1183 in 2025. Notably, crashes on Mondays increased by 60 and on Thursdays by 78 year-over-year.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Crash date field aggregated by weekday

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The fatal crash rate decreased from 0.2% in 2024 to 0.15% in 2025, corresponding to a 25% reduction in fatal crashes, from 28 to 21. Serious injury crashes decreased by 16.85%, from 178 to 148, and possible injury crashes saw a 6.26% decrease, from 1213 to 1137. Conversely, crashes resulting in no injury increased by 0.32%, from 11068 to 11103.

Outcome by Severity (Crash Events)

Fatal21fatal crashes0.1%

↓-25.0%prior 28

Serious Injury148serious injury crashes1.1%

↓-16.9%prior 178

Minor Injury1,677minor injury crashes11.9%

↓-0.9%prior 1,693

Possible Injury1,137possible injury crashes8.1%

↓-6.3%prior 1,213

No Injury11,103no injury crashes78.8%

↑0.3%prior 11,068

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Most severe injury per crash record

Road & Environmental Conditions

Crashes occurring in snowy weather conditions increased by 151.4%, from 179 in 2024 to 450 in 2025, and crashes on snow-covered roads increased by 276.67%, from 120 to 452. In contrast, crashes during rainy weather decreased by 13.07%, from 1867 to 1623. Crashes occurring during Dawn/Dusk lighting conditions increased by 13.4%, from 709 to 804.

Weather

Clear9,884 (70.2%)

↓-2.4%prior 10,125

Cloudy1,927 (13.7%)

↑6.5%prior 1,809

Rain1,623 (11.5%)

↓-13.1%prior 1,867

Snow450 (3.2%)

↑151.4%prior 179

Other/Unknown161 (1.1%)

↓-2.4%prior 165

Fog; Smog; Smoke21 (0.1%)

↑10.5%prior 19

Sleet; Hail9 (0.1%)

↑50.0%prior 6

Freezing Rain or Freezing Drizzle7 (0.0%)

Blowing Sand; Soil; Dirt; Snow2 (0.0%)

↓-60.0%prior 5

Severe Crosswinds2 (0.0%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Weather condition at time of crash

Lighting

Daylight9,443 (67.0%)

↑0.4%prior 9,401

Dark - Lighted Roadway3,393 (24.1%)

↓-6.3%prior 3,621

Dawn/Dusk804 (5.7%)

↑13.4%prior 709

Dark - Roadway Not Lighted210 (1.5%)

↓-7.9%prior 228

Other/Unknown144 (1.0%)

↑4.3%prior 138

Dark - Unknown Roadway Lighting92 (0.7%)

↑10.8%prior 83

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Lighting condition field

Road Surface

Dry10,717 (76.1%)

↓-3.5%prior 11,103

Wet2,599 (18.5%)

↓-6.3%prior 2,774

Snow452 (3.2%)

↑276.7%prior 120

Ice159 (1.1%)

↑253.3%prior 45

Other/Unknown125 (0.9%)

↓-0.8%prior 126

Slush25 (0.2%)

Sand; Mud; Dirt; Oil; Gravel5 (0.0%)

↓-16.7%prior 6

Water (Standing; Moving)4 (0.0%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes decreased by 0.49%, from 28241 to 28103. Passenger cars involved in crashes decreased by 474, from 16955 to 16481, while Sport Utility Vehicles increased by 162, from 5574 to 5736. Among top makes, Honda vehicles involved in crashes increased by 173, whereas Chevrolet vehicles decreased by 149.

Top Vehicle Makes (28,103 vehicles)

FORD3,264 (11.6%)

↓-0.2%prior 3,269

HONDA3,106 (11.1%)

↑5.9%prior 2,933

CHEVROLET3,071 (10.9%)

↓-4.6%prior 3,220

TOYOTA2,895 (10.3%)

↓-4.7%prior 3,039

NISSAN1,714 (6.1%)

↓-4.9%prior 1,802

HYUNDAI1,210 (4.3%)

↓-5.3%prior 1,278

KIA1,149 (4.1%)

↓-1.0%prior 1,161

JEEP883 (3.1%)

↑3.4%prior 854

DODGE791 (2.8%)

↓-11.3%prior 892

MAZDA562 (2%)

↓-2.8%prior 578

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Vehicle unit records

3,690 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (25,943 persons with recorded sex)

Male14,717 (56.7%)

↑0.5%prior 14,647

Female11,226 (43.3%)

↓-2.9%prior 11,559

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Person-level records linked to crash events

Data Sources & Methodology

Primary Data Source

All crash data in this report is sourced from Ohio Crash Data (ODOT TIMS), accessed programmatically via the Csv Open Data API (SODA). This dataset contains official police-reported motor vehicle traffic crash records maintained by the reporting jurisdiction's law enforcement agency. Records are published to the open data portal by the municipality and are subject to the portal's terms of use.

Data Retrieval

Access method: Csv Open Data API (SoQL queries)
Data format: Structured JSON via REST API
Record types queried: Crash events, person records, and vehicle unit records
Date filter applied: 2025-01-01 through 2025-12-31
Report generated: July 5, 2026

Data Coverage

Reporting period: 2025-01-01 through 2025-12-31 (365 days)
Geographic scope: Cincinnati, OH
Total crash records analyzed: 14,086
Total persons involved: 28,985
Total vehicles involved: 28,103

Analytical Methodology

Severity classification: Uses the KABCO injury scale (K=Fatal, A=Incapacitating injury, B=Non-incapacitating injury, C=Possible injury, O=No injury/property damage only), the standard classification in U.S. Model Minimum Uniform Crash Criteria (MMUCC). Severity is assigned per crash event based on the most severe injury in that crash. A single fatal crash (K) may involve multiple fatalities; therefore the "Persons Killed" count in the headline KPIs may differ from the "Fatal" crash count in the severity breakdown.
Contributing factors: Reflect the officer-determined primary contributory cause recorded at the time of the crash report. These are preliminary determinations and may not reflect final investigation findings.
Hit-and-run classification: Based on the hit-and-run indicator field in the official crash report, as determined by the responding officer at the scene.
Temporal analysis: Day-of-week and hour-of-day distributions are computed from the crash date/time timestamp in each record.
Demographics: Age and sex distributions are drawn from person-level records linked to each crash event. A single crash may involve multiple persons.
Vehicle data: Make information is drawn from vehicle unit records linked to each crash event.
AI commentary: Narrative sections are generated by Google Gemini (large language model) based on the structured data. Commentary is descriptive, not predictive, and should not be interpreted as expert opinion.

Limitations & Disclaimers

Only crashes reported to and documented by law enforcement are included. Minor incidents, unreported crashes, and near-misses are not captured in this dataset.
Data reflects conditions at the time of the initial police report and may be subject to subsequent corrections, reclassifications, or supplements by the reporting agency.
Open data portal records may experience a publication lag - recently occurring crashes may not yet appear in the dataset at the time of report generation.
AI-generated commentary is produced by a large language model and is intended to highlight patterns in the data. It does not constitute legal, medical, or professional analysis.
Percentages are calculated from reported data and are subject to rounding.

Non-Affiliation Disclosure

This report is produced independently by ThatCarHitMe.com (Injuria.ai). It is not affiliated with, endorsed by, or produced in partnership with any law enforcement agency, municipal government, state department of transportation, or the National Highway Traffic Safety Administration (NHTSA). Data is sourced from publicly available government open data portals.

Data License

The underlying crash data is provided under the municipality's Open Data Terms of Use and is made available to the public for unrestricted use. This analysis and report is © 2026 Injuria.ai and may be cited with attribution using the suggested citation below.

Corrections & Feedback

If you believe any data in this report is inaccurate or have questions about our methodology, please contact: data@injuria.ai. We are committed to accuracy and will issue corrections promptly.

Suggested Citation

ThatCarHitMe.com (Injuria.ai). "Cincinnati, OH Crash Intelligence Report: 2025." Published July 5, 2026. Reporting period: 2025-01-01 to 2025-12-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/cincinnati/2025-annual-report

About the Publisher

ThatCarHitMe.com is a crash data intelligence platform developed by Injuria.ai, a legal technology company specializing in traffic safety analytics. We aggregate and analyze publicly available government crash data to produce structured intelligence reports for communities, researchers, journalists, and legal professionals. Our reports combine programmatic data retrieval from official open data portals with AI-assisted narrative analysis.

Questions about this report's data or methodology: data@injuria.ai

ThatCarHitMe.com · An Injuria.ai Company

14,086 CRASHES INCINCINNATI, OH2025