Yearly Traffic Safety Analysis

7,629 CRASHES IN
CLEVELAND, OH
2024

All metrics benchmarked against2023

Total crashes in 2024 decreased to 7,629 from 12,155 in 2023, representing a 37.24% reduction year-over-year. Despite this overall decline, total fatalities increased by 31.48%, rising from 54 in 2023 to 71 in 2024. This indicates a notable increase in the severity of crashes, even as their frequency decreased.

7,629

▼ -37.2%was 12,155

Total Crash Events

▲ 31.5%was 54

Persons Killed

4,147

▼ -33.9%was 6,270

Persons Injured

2,219

▼ -46.4%was 4,137

Hit-and-Run Crashes

Note: "Persons Killed" (71) counts individual fatalities across all crash events. "Fatal" in the severity table below (67) 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

Overall, crashes in Cleveland decreased by 37.24% year-over-year, from 12,155 in 2023 to 7,629 in 2024. However, total fatalities increased by 31.48%, rising from 54 to 71. Total injuries also saw a decrease of 33.86%, falling from 6,270 to 4,147.

2,219

Hit-and-Run Crashes — 2024

▼ -46.4% vs prior (4,137)

Hit-and-run crashes decreased by 46.36% year-over-year, falling from 4,137 in 2023 to 2,219 in 2024. The hit-and-run rate also saw a decline, decreasing by 4.9 percentage points from 34.0% of all crashes in 2023 to 29.1% in 2024. This indicates a downward trend in both the count and proportion of hit-and-run incidents.

Vulnerable Road User Casualties

Pedestrians Killed

Prior: 10↑20.0%

Motorists Killed

Prior: 44↑34.1%

192

Pedestrians Injured

Prior: 189↑1.6%

3,955

Motorists Injured

Prior: 6,081↓-35.0%

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 peak day for crashes remained Friday in both periods, though the count decreased from 1,878 in 2023 to 1,222 in 2024. The peak hour for crashes shifted from 4 PM with 1,028 crashes in 2023 to 3 PM with 544 crashes in 2024. All months experienced a reduction in crash counts year-over-year, consistent with the overall decline.

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

The fatal crash rate increased from 0.44% in 2023 to 0.88% in 2024, nearly doubling year-over-year. The proportion of fatal crashes rose from 0.4% to 0.9%, and serious injury crashes increased from 2.5% to 3.5% of total crashes. Conversely, the proportion of possible injury crashes decreased from 19.6% to 17.9% of total crashes.

Severity is per crash event (most severe injury). 67 fatal crash events resulted in 71 persons killed.

Outcome by Severity (Crash Events)

Fatal67fatal crashes0.9%

↑26.4%prior 53

Serious Injury268serious injury crashes3.5%

↓-11.3%prior 302

Minor Injury1,004minor injury crashes13.2%

↓-18.0%prior 1,225

Possible Injury1,362possible injury crashes17.9%

↓-42.9%prior 2,387

No Injury4,928no injury crashes64.6%

↓-39.8%prior 8,188

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 proportion of crashes occurring in clear weather conditions slightly increased from 61.8% in 2023 to 63.3% in 2024. There was a notable increase in the proportion of crashes occurring in snowy conditions, rising from 3.8% in 2023 to 6.2% in 2024. Crashes occurring in dark conditions on lighted roadways also saw an increase in their proportion, from 27.0% to 32.1% of total crashes.

Weather

Clear4,829 (63.3%)

↓-35.7%prior 7,509

Cloudy1,185 (15.5%)

↓-49.5%prior 2,345

Rain937 (12.3%)

↓-28.5%prior 1,310

Snow472 (6.2%)

↑1.1%prior 467

Other/Unknown109 (1.4%)

↓-74.2%prior 423

Freezing Rain or Freezing Drizzle35 (0.5%)

↓-5.4%prior 37

Fog; Smog; Smoke27 (0.4%)

↓-18.2%prior 33

Sleet; Hail23 (0.3%)

↓-4.2%prior 24

Blowing Sand; Soil; Dirt; Snow10 (0.1%)

Severe Crosswinds2 (0.0%)

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

Lighting

Daylight4,554 (59.7%)

↓-41.0%prior 7,721

Dark - Lighted Roadway2,450 (32.1%)

↓-25.3%prior 3,278

Dawn/Dusk385 (5.0%)

↓-41.6%prior 659

Dark - Roadway Not Lighted102 (1.3%)

↓-11.3%prior 115

Other/Unknown90 (1.2%)

↓-65.6%prior 262

Dark - Unknown Roadway Lighting48 (0.6%)

↓-60.0%prior 120

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

Road Surface

Dry5,560 (72.9%)

↓-38.6%prior 9,061

Wet1,427 (18.7%)

↓-36.3%prior 2,240

Snow363 (4.8%)

↓-0.5%prior 365

Ice155 (2.0%)

↑26.0%prior 123

Other/Unknown91 (1.2%)

↓-73.2%prior 340

Slush26 (0.3%)

↑100.0%prior 13

Sand; Mud; Dirt; Oil; Gravel4 (0.1%)

Water (Standing; Moving)3 (0.0%)

↓-76.9%prior 13

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

Vehicles & Demographics

The total number of vehicles involved in crashes decreased from 23,571 in 2023 to 14,513 in 2024. A significant shift was observed in the top vehicle makes involved, with 'OTHER/UNKNOWN' becoming the most frequently listed in 2024 with 3,223 vehicles, up from being 10th in 2023. While all age groups saw a reduction in absolute numbers of persons involved, the proportional representation of persons aged 0-15, 16-20, 26-34, 35-44, and 65+ slightly increased within the total persons involved.

Top Vehicle Makes (14,513 vehicles)

OTHER/UNKNOWN3,223 (22.2%)

↑529.5%prior 512

FORD1,480 (10.2%)

↓-43.9%prior 2,639

CHEVROLET1,449 (10%)

↓-46.1%prior 2,686

TOYOTA976 (6.7%)

↓-41.0%prior 1,654

HONDA885 (6.1%)

↓-45.6%prior 1,626

NISSAN646 (4.5%)

↓-47.8%prior 1,238

JEEP626 (4.3%)

↓-36.7%prior 989

KIA577 (4%)

↓-51.0%prior 1,178

HYUNDAI542 (3.7%)

↓-42.8%prior 948

DODGE427 (2.9%)

↓-53.4%prior 916

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

2,208 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (15,729 persons with recorded sex)

Male8,758 (55.7%)

↓-34.5%prior 13,363

Female6,971 (44.3%)

↓-36.1%prior 10,904

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: Cleveland, OH
Total crash records analyzed: 7,629
Total persons involved: 17,634
Total vehicles involved: 14,513

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). "Cleveland, 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/cleveland/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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7,629 CRASHES INCLEVELAND, OH2024