Yearly Traffic Safety Analysis

8,412 CRASHES IN
CLEVELAND, OH
2025

All metrics benchmarked against2024

Total crashes in Cleveland for 2025 were 8412, an increase of 10.26% from 7629 crashes in 2024. Total fatalities, however, decreased by 18.31% from 71 in 2024 to 58 in 2025. The most notable shift was the increase in total crashes coupled with a significant decrease in total fatalities.

8,412

▲ 10.3%was 7,629

Total Crash Events

▼ -18.3%was 71

Persons Killed

4,235

▲ 2.1%was 4,147

Persons Injured

2,424

▲ 9.2%was 2,219

Hit-and-Run Crashes

Note: "Persons Killed" (58) counts individual fatalities across all crash events. "Fatal" in the severity table below (53) 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 activity in Cleveland shows an increasing trend, with total crashes rising by 10.26% from 7629 in 2024 to 8412 in 2025. Despite this increase in total crashes, total fatalities decreased by 18.31%, from 71 in 2024 to 58 in 2025. Total injuries also saw an increase of 2.12%, rising from 4147 in 2024 to 4235 in 2025.

2,424

Hit-and-Run Crashes — 2025

▲ 9.2% vs prior (2,219)

The total number of hit-and-run crashes increased by 9.24%, rising from 2219 in 2024 to 2424 in 2025. Despite this increase in count, the hit-and-run rate relative to total crashes slightly decreased from 29.1% in 2024 to 28.8% in 2025. This indicates that while hit-and-run incidents are more numerous, they represent a slightly smaller proportion of the overall increased crash volume.

Vulnerable Road User Casualties

Pedestrians Killed

Prior: 12↓-8.3%

Motorists Killed

Prior: 59↓-20.3%

177

Pedestrians Injured

Prior: 192↓-7.8%

4,058

Motorists Injured

Prior: 3,955↑2.6%

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 shifted from Friday in 2024 (1222 crashes) to Thursday in 2025 (1310 crashes). The peak hour for crashes remained 3 PM in both periods, with 544 crashes in 2024 and 580 crashes in 2025. The number of crashes on Thursdays increased by 12.45% from 1165 in 2024 to 1310 in 2025, making it the new peak.

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 0.88% in 2024 to 0.63% in 2025, representing a drop of 0.25 percentage points. While total injuries increased by 2.12% (from 4147 to 4235), the proportion of crashes resulting in any injury (A, B, or C severity) decreased from 54.36% in 2024 to 50.34% in 2025. Crashes with no reported injury increased from 64.6% in 2024 to 67.5% in 2025.

Severity is per crash event (most severe injury). 53 fatal crash events resulted in 58 persons killed.

Outcome by Severity (Crash Events)

Fatal53fatal crashes0.6%

↓-20.9%prior 67

Serious Injury281serious injury crashes3.3%

↑4.9%prior 268

Minor Injury1,005minor injury crashes11.9%

↑0.1%prior 1,004

Possible Injury1,393possible injury crashes16.6%

↑2.3%prior 1,362

No Injury5,680no injury crashes67.5%

↑15.3%prior 4,928

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 81.36%, from 472 in 2024 to 856 in 2025. Correspondingly, crashes on snowy road surfaces increased by 117.36%, from 363 in 2024 to 789 in 2025. Conversely, crashes in rainy weather decreased by 10.35%, from 937 in 2024 to 840 in 2025.

Weather

Clear5,082 (60.4%)

↑5.2%prior 4,829

Cloudy1,371 (16.3%)

↑15.7%prior 1,185

Snow856 (10.2%)

↑81.4%prior 472

Rain840 (10.0%)

↓-10.4%prior 937

Other/Unknown199 (2.4%)

↑82.6%prior 109

Freezing Rain or Freezing Drizzle23 (0.3%)

↓-34.3%prior 35

Sleet; Hail18 (0.2%)

↓-21.7%prior 23

Fog; Smog; Smoke13 (0.2%)

↓-51.9%prior 27

Blowing Sand; Soil; Dirt; Snow6 (0.1%)

↓-40.0%prior 10

Severe Crosswinds4 (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

Daylight4,890 (58.1%)

↑7.4%prior 4,554

Dark - Lighted Roadway2,677 (31.8%)

↑9.3%prior 2,450

Dawn/Dusk504 (6.0%)

↑30.9%prior 385

Other/Unknown158 (1.9%)

↑75.6%prior 90

Dark - Roadway Not Lighted107 (1.3%)

↑4.9%prior 102

Dark - Unknown Roadway Lighting76 (0.9%)

↑58.3%prior 48

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

Road Surface

Dry5,699 (67.7%)

↑2.5%prior 5,560

Wet1,538 (18.3%)

↑7.8%prior 1,427

Snow789 (9.4%)

↑117.4%prior 363

Ice184 (2.2%)

↑18.7%prior 155

Other/Unknown157 (1.9%)

↑72.5%prior 91

Slush38 (0.5%)

↑46.2%prior 26

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

Water (Standing; Moving)3 (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 increased by 10.66%, from 14513 in 2024 to 16060 in 2025. Chevrolet surpassed Ford to become the second most frequently involved make, with 1659 vehicles in 2025 compared to Ford's 1648, while in 2024 Ford had 1480 and Chevrolet had 1449. All age groups of persons involved in crashes showed an increase, with the 35-44 age group experiencing the largest numerical increase of 418 persons, rising from 2610 in 2024 to 3028 in 2025.

Top Vehicle Makes (16,060 vehicles)

OTHER/UNKNOWN3,105 (19.3%)

↓-3.7%prior 3,223

CHEVROLET1,659 (10.3%)

↑14.5%prior 1,449

FORD1,648 (10.3%)

↑11.4%prior 1,480

TOYOTA1,145 (7.1%)

↑17.3%prior 976

HONDA1,060 (6.6%)

↑19.8%prior 885

KIA732 (4.6%)

↑26.9%prior 577

JEEP702 (4.4%)

↑12.1%prior 626

HYUNDAI632 (3.9%)

↑16.6%prior 542

NISSAN627 (3.9%)

↓-2.9%prior 646

DODGE431 (2.7%)

↑0.9%prior 427

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

2,553 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (17,003 persons with recorded sex)

Male9,674 (56.9%)

↑10.5%prior 8,758

Female7,329 (43.1%)

↑5.1%prior 6,971

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: Cleveland, OH
Total crash records analyzed: 8,412
Total persons involved: 19,350
Total vehicles involved: 16,060

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: 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/cleveland/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

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8,412 CRASHES INCLEVELAND, OH2025