Yearly Traffic Safety Analysis

27,477 CRASHES IN
OHIO, OH
2023

All metrics benchmarked against2022

In Hamilton County, total traffic crashes decreased by 3.4% from 28,453 in 2022 to 27,477 in 2023. This overall reduction was accompanied by a slight decrease in total injuries, from 8,863 to 8,796. However, total fatalities increased slightly from 78 to 80 over the same period. One of the more notable shifts was an 11.8% increase in pedestrian-involved crashes, rising from 339 to 379 year-over-year.

27,477

▼ -3.4%was 28,453

Total Crash Events

▲ 2.6%was 78

Persons Killed

8,796

▼ -0.8%was 8,863

Persons Injured

6,352

▼ -3.0%was 6,550

Hit-and-Run Crashes

Note: "Persons Killed" (80) counts individual fatalities across all crash events. "Fatal" in the severity table below (72) 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 · 2023-01-01 to 2023-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend in traffic incidents shows a decrease in volume. Total crashes fell by 976 from 2022 to 2023, representing a 3.4% reduction. While total injuries also declined slightly by 0.8%, the number of fatalities rose from 78 to 80.

6,352

Hit-and-Run Crashes — 2023

▼ -3.0% vs prior (6,550)

The total number of hit-and-run crashes decreased from 6,550 in 2022 to 6,352 in 2023. However, as a percentage of all crashes, the hit-and-run rate remained nearly unchanged. The rate was 23.0% in 2022 and 23.1% in 2023, indicating that hit-and-runs are not decreasing in proportion to the overall decline in crashes.

Vulnerable Road User Casualties

Pedestrians Killed

Prior: 15↑20.0%

Motorists Killed

Prior: 63↓-1.6%

352

Pedestrians Injured

Prior: 322↑9.3%

8,444

Motorists Injured

Prior: 8,541↓-1.1%

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

Temporal crash patterns remained consistent between the two periods. Friday was the peak day for crashes in both 2023 (4,616 incidents) and 2022 (4,702 incidents). Similarly, the 4 p.m. hour was the peak time for collisions in both years, accounting for 2,338 crashes in 2023 and 2,450 in 2022.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Crash date field aggregated by weekday

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The severity distribution of crashes showed minor changes year-over-year. The proportion of crashes resulting in a fatality was stable at 0.3% in both 2022 and 2023. However, the share of crashes involving any type of injury (serious, minor, or possible) saw a slight increase from 21.9% in 2022 to 22.7% in 2023, driven by small proportional increases in serious and minor injury crashes.

Severity is per crash event (most severe injury). 72 fatal crash events resulted in 80 persons killed.

Outcome by Severity (Crash Events)

Fatal72fatal crashes0.3%

↓-4.0%prior 75

Serious Injury380serious injury crashes1.4%

↑1.1%prior 376

Minor Injury3,122minor injury crashes11.4%

↑0.6%prior 3,102

Possible Injury2,733possible injury crashes9.9%

↓-1.5%prior 2,774

No Injury21,170no injury crashes77%

↓-4.3%prior 22,126

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Most severe injury per crash record

Road & Environmental Conditions

The distribution of environmental conditions during crashes was largely stable year-over-year. Crashes in daylight accounted for 68.0% of all incidents in both 2023 and 2022. There was a slight shift in road surface conditions, with the proportion of crashes on wet roads increasing from 17.7% in 2022 to 19.6% in 2023. Similarly, crashes during rain represented 12.2% of the total in 2023, up from 10.5% in the prior year.

Weather

Clear18,275 (66.5%)

↓-3.8%prior 18,993

Cloudy5,185 (18.9%)

↓-0.8%prior 5,225

Rain3,356 (12.2%)

↑12.4%prior 2,986

Snow330 (1.2%)

↓-57.5%prior 776

Other/Unknown244 (0.9%)

↓-18.1%prior 298

Fog; Smog; Smoke42 (0.2%)

↓-4.5%prior 44

Sleet; Hail24 (0.1%)

↓-57.1%prior 56

Severe Crosswinds12 (0.0%)

↑20.0%prior 10

Freezing Rain or Freezing Drizzle7 (0.0%)

↓-86.0%prior 50

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

↓-86.7%prior 15

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Weather condition at time of crash

Lighting

Daylight18,672 (68.0%)

↓-3.5%prior 19,358

Dark - Lighted Roadway5,876 (21.4%)

↓-4.8%prior 6,170

Dawn/Dusk1,342 (4.9%)

↑3.5%prior 1,296

Dark - Roadway Not Lighted1,166 (4.2%)

↓-2.0%prior 1,190

Other/Unknown250 (0.9%)

↓-13.2%prior 288

Dark - Unknown Roadway Lighting171 (0.6%)

↑13.2%prior 151

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Lighting condition field

Road Surface

Dry21,633 (78.7%)

↓-2.0%prior 22,078

Wet5,374 (19.6%)

↑6.8%prior 5,031

Snow211 (0.8%)

↓-71.8%prior 749

Other/Unknown174 (0.6%)

↓-4.9%prior 183

Ice63 (0.2%)

↓-82.1%prior 352

Water (Standing; Moving)10 (0.0%)

↓-41.2%prior 17

Slush7 (0.0%)

↓-82.1%prior 39

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

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Road surface condition field

Vehicles & Demographics

The makes of vehicles involved in crashes remained consistent, with Ford, Chevrolet, Toyota, and Honda being the top four in both 2023 and 2022. The number of vehicles from each of these top makes involved in crashes decreased, in line with the overall reduction in incidents. The age distribution of persons involved in crashes also showed stability, with only minor proportional shifts across age groups between the two periods.

Top Vehicle Makes (53,671 vehicles)

FORD6,783 (12.6%)

↓-3.6%prior 7,037

CHEVROLET6,624 (12.3%)

↓-5.1%prior 6,981

TOYOTA5,857 (10.9%)

↓-1.5%prior 5,947

HONDA5,698 (10.6%)

↓-3.2%prior 5,884

NISSAN3,259 (6.1%)

↓-3.8%prior 3,387

HYUNDAI2,312 (4.3%)

↓-6.5%prior 2,472

KIA2,221 (4.1%)

↓-3.6%prior 2,303

DODGE1,867 (3.5%)

↓-7.6%prior 2,020

JEEP1,648 (3.1%)

↑0.1%prior 1,647

MAZDA1,067 (2%)

↓-3.4%prior 1,104

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Vehicle unit records

5,530 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (55,381 persons with recorded sex)

Male30,270 (54.7%)

↓-1.5%prior 30,745

Female25,111 (45.3%)

↓-2.6%prior 25,789

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · 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: 2023-01-01 through 2023-12-31
Report generated: July 6, 2026

Data Coverage

Reporting period: 2023-01-01 through 2023-12-31 (365 days)
Geographic scope: ohio, OH
Total crash records analyzed: 27,477
Total persons involved: 59,904
Total vehicles involved: 53,671

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). "ohio, OH Crash Intelligence Report: 2023." Published July 6, 2026. Reporting period: 2023-01-01 to 2023-12-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/2023-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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27,477 CRASHES INOHIO, OH2023