Yearly Traffic Safety Analysis

22,370 CRASHES IN
OHIO, OH
2024

All metrics benchmarked against2023

In Cuyahoga County, total traffic crashes decreased by 16.8% from 26,900 in 2023 to 22,370 in 2024. Despite this significant reduction in overall collisions and a 19.0% drop in injuries, the number of fatalities rose from 104 to 118, an increase of 13.5%. The most notable year-over-year shift was this divergence, with the fatal crash rate increasing from 0.37% to 0.50%.

22,370

▼ -16.8%was 26,900

Total Crash Events

118

▲ 13.5%was 104

Persons Killed

9,311

▼ -19.0%was 11,491

Persons Injured

4,174

▼ -32.0%was 6,134

Hit-and-Run Crashes

Note: "Persons Killed" (118) counts individual fatalities across all crash events. "Fatal" in the severity table below (111) 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 · 2024-01-01 to 2024-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend in traffic incidents shows a notable decrease, with 4,530 fewer crashes in 2024 compared to 2023, a 16.8% reduction. This downward trend is also reflected in total injuries, which fell by 19.0% from 11,491 to 9,311. However, this positive trend did not extend to the most severe outcomes, as total fatalities increased by 13.5% year-over-year.

4,174

Hit-and-Run Crashes — 2024

▼ -32.0% vs prior (6,134)

Hit-and-run incidents saw a significant decrease in both volume and rate year-over-year. The total number of hit-and-run crashes fell by 32.0%, from 6,134 in 2023 to 4,174 in 2024. Consequently, the hit-and-run rate, or the percentage of all crashes that were hit-and-runs, dropped from 22.8% in the prior period to 18.7% in the current period.

Vulnerable Road User Casualties

Pedestrians Killed

Prior: 23↓-30.4%

102

Motorists Killed

Prior: 81↑25.9%

369

Pedestrians Injured

Prior: 375↓-1.6%

8,942

Motorists Injured

Prior: 11,116↓-19.6%

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal patterns of crashes remained largely consistent year-over-year. Friday was the peak day for crashes in both 2024 (3,732 crashes) and 2023 (4,365 crashes). The peak hour for collisions shifted slightly earlier, from 4 p.m. in 2023 (2,298 crashes) to 3 p.m. in 2024 (1,799 crashes), though both hours represent the afternoon commute peak.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Crash date field aggregated by weekday

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

While the total number of crashes declined, the severity of crashes worsened in 2024. The number of fatal crashes increased from 100 to 111, and the fatal crash rate rose from 0.4% to 0.5% of all crashes. Crashes resulting in serious injuries also saw a proportional increase, accounting for 2.9% of crashes in 2024 (643 incidents) compared to 2.3% in 2023 (621 incidents). Conversely, crashes resulting in possible injuries decreased from 16.4% to 14.5% of the total.

Severity is per crash event (most severe injury). 111 fatal crash events resulted in 118 persons killed.

Outcome by Severity (Crash Events)

Fatal111fatal crashes0.5%

↑11.0%prior 100

Serious Injury643serious injury crashes2.9%

↑3.5%prior 621

Minor Injury2,527minor injury crashes11.3%

↓-6.8%prior 2,711

Possible Injury3,250possible injury crashes14.5%

↓-26.3%prior 4,409

No Injury15,839no injury crashes70.8%

↓-16.9%prior 19,059

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Most severe injury per crash record

Road & Environmental Conditions

The distribution of crashes across different environmental conditions remained remarkably stable between 2023 and 2024. In both periods, crashes occurred most frequently in clear weather (60.1% in 2024 vs. 59.6% in 2023) and during daylight hours (65.9% vs. 66.4%). Similarly, dry road surfaces were reported in the majority of incidents, accounting for 72.6% of crashes in 2024 and 73.3% in 2023, indicating no significant shift in the role of adverse conditions.

Weather

Clear13,455 (60.1%)

↓-16.0%prior 16,026

Cloudy4,422 (19.8%)

↓-21.8%prior 5,655

Rain2,641 (11.8%)

↓-14.1%prior 3,074

Snow1,437 (6.4%)

↑0.6%prior 1,428

Other/Unknown198 (0.9%)

↓-60.9%prior 507

Fog; Smog; Smoke70 (0.3%)

↓-11.4%prior 79

Freezing Rain or Freezing Drizzle61 (0.3%)

↑32.6%prior 46

Sleet; Hail59 (0.3%)

↓-15.7%prior 70

Blowing Sand; Soil; Dirt; Snow17 (0.1%)

↑240.0%prior 5

Severe Crosswinds10 (0.0%)

→0.0%prior 10

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Weather condition at time of crash

Lighting

Daylight14,750 (65.9%)

↓-17.4%prior 17,861

Dark - Lighted Roadway5,677 (25.4%)

↓-13.4%prior 6,554

Dawn/Dusk1,163 (5.2%)

↓-20.8%prior 1,469

Dark - Roadway Not Lighted520 (2.3%)

↓-0.8%prior 524

Other/Unknown164 (0.7%)

↓-50.3%prior 330

Dark - Unknown Roadway Lighting96 (0.4%)

↓-40.7%prior 162

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Lighting condition field

Road Surface

Dry16,231 (72.6%)

↓-17.7%prior 19,717

Wet4,450 (19.9%)

↓-18.0%prior 5,424

Snow1,054 (4.7%)

↑7.0%prior 985

Ice383 (1.7%)

↑43.4%prior 267

Other/Unknown143 (0.6%)

↓-63.2%prior 389

Slush64 (0.3%)

↑14.3%prior 56

Water (Standing; Moving)38 (0.2%)

↓-34.5%prior 58

Sand; Mud; Dirt; Oil; Gravel7 (0.0%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Road surface condition field

Vehicles & Demographics

While Chevrolet (4,520 vehicles) and Ford (4,495 vehicles) remained the top identified vehicle makes involved in crashes in 2024, the 'Other/Unknown' category rose to the top position with 7,046 vehicles, up from the third position in 2023 (5,163 vehicles). Passenger cars and Sport Utility Vehicles were the top two vehicle types in both years, consistent with general traffic composition. The age distribution of persons involved in crashes also remained proportionally consistent, with the 26-34 age group representing the largest share in both 2024 (17.3%) and 2023 (17.4%).

Top Vehicle Makes (42,731 vehicles)

OTHER/UNKNOWN7,046 (16.5%)

↑36.5%prior 5,163

CHEVROLET4,520 (10.6%)

↓-21.9%prior 5,790

FORD4,495 (10.5%)

↓-21.6%prior 5,734

TOYOTA3,302 (7.7%)

↓-15.5%prior 3,908

HONDA2,933 (6.9%)

↓-17.5%prior 3,554

NISSAN2,164 (5.1%)

↓-21.0%prior 2,738

JEEP2,038 (4.8%)

↓-13.0%prior 2,342

HYUNDAI1,770 (4.1%)

↓-18.4%prior 2,169

KIA1,684 (3.9%)

↓-25.3%prior 2,253

DODGE1,383 (3.2%)

↓-26.2%prior 1,874

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Vehicle unit records

3,617 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (49,910 persons with recorded sex)

Male27,014 (54.1%)

↓-14.1%prior 31,456

Female22,896 (45.9%)

↓-15.3%prior 27,046

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · 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: 2024-01-01 through 2024-12-31
Report generated: July 5, 2026

Data Coverage

Reporting period: 2024-01-01 through 2024-12-31 (366 days)
Geographic scope: ohio, OH
Total crash records analyzed: 22,370
Total persons involved: 52,888
Total vehicles involved: 42,731

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: 2024." Published July 5, 2026. Reporting period: 2024-01-01 to 2024-12-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/2024-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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22,370 CRASHES INOHIO, OH2024