Yearly Traffic Safety Analysis

14,542 CRASHES IN
CINCINNATI, OH
2022

All metrics benchmarked against2021

In 2022, Cincinnati recorded 14,542 total crashes, a decrease from 15,647 crashes in 2021, representing a 7.06% reduction. Total fatalities decreased from 47 in 2021 to 40 in 2022, marking a 14.89% decline. This decrease in fatalities is the most notable year-over-year shift.

14,542

▼ -7.1%was 15,647

Total Crash Events

▼ -14.9%was 47

Persons Killed

4,652

▼ -8.4%was 5,081

Persons Injured

4,200

▼ -11.2%was 4,732

Hit-and-Run Crashes

Note: "Persons Killed" (40) counts individual fatalities across all crash events. "Fatal" in the severity table below (37) 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 · 2022-01-01 to 2022-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend indicates a decrease in crash incidents, fatalities, and injuries year-over-year. Total crashes decreased by 7.06%, from 15,647 in 2021 to 14,542 in 2022. Fatalities decreased by 14.89%, and total injuries decreased by 8.44% over the same period.

4,200

Hit-and-Run Crashes — 2022

▼ -11.2% vs prior (4,732)

Hit-and-run crashes decreased from 4,732 in 2021 to 4,200 in 2022. The hit-and-run rate also decreased from 30.2% of total crashes in 2021 to 28.9% in 2022. This indicates a downward trend in both the number and proportion of hit-and-run incidents.

Vulnerable Road User Casualties

Pedestrians Killed

Prior: 8↑12.5%

Motorists Killed

Prior: 39↓-20.5%

217

Pedestrians Injured

Prior: 256↓-15.2%

4,435

Motorists Injured

Prior: 4,825↓-8.1%

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · 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 for both periods, although the count decreased from 2,641 in 2021 to 2,386 in 2022. Similarly, the peak hour remained 4 PM, with crashes decreasing from 1,209 to 1,169. While crashes generally declined, January, February, and March 2022 saw increases in crash counts compared to the same months in 2021.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Crash date field aggregated by weekday

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes decreased from 41 in 2021 to 37 in 2022, with the fatal crash rate slightly decreasing from 0.26% to 0.25%. Serious injury crashes accounted for 1.4% of all crashes in 2022, a slight increase from 1.2% in 2021. Minor injury crashes also saw a small proportional increase from 11.5% to 11.7%, while possible injury crashes decreased from 10.1% to 9.4%.

Severity is per crash event (most severe injury). 37 fatal crash events resulted in 40 persons killed.

Outcome by Severity (Crash Events)

Fatal37fatal crashes0.3%

↓-9.8%prior 41

Serious Injury199serious injury crashes1.4%

↑2.1%prior 195

Minor Injury1,695minor injury crashes11.7%

↓-5.5%prior 1,794

Possible Injury1,369possible injury crashes9.4%

↓-13.4%prior 1,580

No Injury11,242no injury crashes77.3%

↓-6.6%prior 12,037

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Most severe injury per crash record

Road & Environmental Conditions

Crashes occurring in clear weather decreased from 10,546 in 2021 to 10,245 in 2022, and those on dry road surfaces decreased from 11,748 to 11,283. Conversely, crashes during snowy conditions increased from 381 to 424, and on snowy road surfaces from 340 to 418. Crashes during daylight hours decreased from 10,172 to 9,577, while crashes during dawn/dusk increased from 618 to 630.

Weather

Clear10,245 (70.5%)

↓-2.9%prior 10,546

Cloudy2,055 (14.1%)

↓-14.5%prior 2,404

Rain1,597 (11.0%)

↓-23.9%prior 2,099

Snow424 (2.9%)

↑11.3%prior 381

Other/Unknown169 (1.2%)

↑1.2%prior 167

Fog; Smog; Smoke15 (0.1%)

↑25.0%prior 12

Sleet; Hail14 (0.1%)

↓-48.1%prior 27

Freezing Rain or Freezing Drizzle12 (0.1%)

↑33.3%prior 9

Blowing Sand; Soil; Dirt; Snow7 (0.0%)

Severe Crosswinds4 (0.0%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Weather condition at time of crash

Lighting

Daylight9,577 (65.9%)

↓-5.8%prior 10,172

Dark - Lighted Roadway3,862 (26.6%)

↓-10.4%prior 4,309

Dawn/Dusk630 (4.3%)

↑1.9%prior 618

Dark - Roadway Not Lighted242 (1.7%)

↓-19.1%prior 299

Other/Unknown150 (1.0%)

↑0.7%prior 149

Dark - Unknown Roadway Lighting81 (0.6%)

↓-19.0%prior 100

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Lighting condition field

Road Surface

Dry11,283 (77.6%)

↓-4.0%prior 11,748

Wet2,527 (17.4%)

↓-21.7%prior 3,229

Snow418 (2.9%)

↑22.9%prior 340

Ice159 (1.1%)

↑2.6%prior 155

Other/Unknown121 (0.8%)

↓-10.4%prior 135

Slush21 (0.1%)

↓-34.4%prior 32

Water (Standing; Moving)9 (0.1%)

↑50.0%prior 6

Sand; Mud; Dirt; Oil; Gravel4 (0.0%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Road surface condition field

Vehicles & Demographics

The total number of persons involved in crashes decreased from 30,725 in 2021 to 29,444 in 2022. There was an increase in the number of persons aged 0-15 involved in crashes, rising from 888 to 1,144, and in those aged 65+, from 1,793 to 1,895. The top vehicle makes, including Ford, Chevrolet, Toyota, and Honda, all experienced decreases in their crash involvement counts.

Top Vehicle Makes (28,687 vehicles)

FORD3,472 (12.1%)

↓-7.0%prior 3,735

CHEVROLET3,395 (11.8%)

↓-6.6%prior 3,636

TOYOTA2,942 (10.3%)

↓-4.1%prior 3,067

HONDA2,937 (10.2%)

↓-6.7%prior 3,148

NISSAN1,841 (6.4%)

↓-5.6%prior 1,950

HYUNDAI1,255 (4.4%)

↓-11.3%prior 1,415

KIA1,162 (4.1%)

↓-4.1%prior 1,212

DODGE1,056 (3.7%)

↓-6.8%prior 1,133

JEEP797 (2.8%)

↑5.6%prior 755

MAZDA586 (2%)

↓-8.3%prior 639

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Vehicle unit records

3,807 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (26,218 persons with recorded sex)

Male14,432 (55.0%)

↓-1.9%prior 14,719

Female11,786 (45.0%)

↓-3.2%prior 12,170

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · 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: 2022-01-01 through 2022-12-31
Report generated: July 5, 2026

Data Coverage

Reporting period: 2022-01-01 through 2022-12-31 (365 days)
Geographic scope: Cincinnati, OH
Total crash records analyzed: 14,542
Total persons involved: 29,444
Total vehicles involved: 28,687

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: 2022." Published July 5, 2026. Reporting period: 2022-01-01 to 2022-12-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/cincinnati/2022-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

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14,542 CRASHES INCINCINNATI, OH2022