Yearly Traffic Safety Analysis

14,850 CRASHES IN
CLEVELAND, OH
2022

All metrics benchmarked against2021

In 2022, Cleveland experienced 14,850 total crashes, a decrease of 2.81% compared to 15,279 crashes in 2021. Total fatalities saw a significant reduction, dropping by 36.23% from 69 in 2021 to 44 in 2022. This marks a notable improvement in fatal crash outcomes year-over-year.

14,850

▼ -2.8%was 15,279

Total Crash Events

▼ -36.2%was 69

Persons Killed

7,065

▼ -8.2%was 7,695

Persons Injured

5,058

▼ -12.0%was 5,745

Hit-and-Run Crashes

Note: "Persons Killed" (44) counts individual fatalities across all crash events. "Fatal" in the severity table below (43) 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

Overall, crash data for Cleveland shows a downward trend year-over-year. Total crashes decreased by 2.81%, while total fatalities declined by 36.23%. Total injuries also fell by 8.19%, indicating a general improvement in traffic safety metrics.

5,058

Hit-and-Run Crashes — 2022

▼ -12.0% vs prior (5,745)

Hit-and-run crashes decreased by 11.96% year-over-year, from 5,745 in 2021 to 5,058 in 2022. The hit-and-run rate also saw a reduction, dropping from 37.6% of total crashes in 2021 to 34.1% in 2022.

Vulnerable Road User Casualties

Pedestrians Killed

Prior: 14↓-28.6%

Motorists Killed

Prior: 55↓-38.2%

209

Pedestrians Injured

Prior: 191↑9.4%

6,856

Motorists Injured

Prior: 7,504↓-8.6%

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 temporal patterns of crashes remained largely consistent between 2021 and 2022. Friday continued to be the peak day for crashes, with 2,526 crashes in 2022 compared to 2,541 in 2021, and the peak hour remained 4 p.m., with 1,282 crashes in 2022 versus 1,271 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

The severity distribution of crashes improved, with fatal crashes decreasing from 65 (0.4% of total crashes) in 2021 to 43 (0.3%) in 2022. Serious injury crashes also saw a reduction, from 411 (2.7%) to 340 (2.3%) year-over-year. Minor injury crashes decreased from 1,517 (9.9%) to 1,397 (9.4%).

Severity is per crash event (most severe injury). 43 fatal crash events resulted in 44 persons killed.

Outcome by Severity (Crash Events)

Fatal43fatal crashes0.3%

↓-33.8%prior 65

Serious Injury340serious injury crashes2.3%

↓-17.3%prior 411

Minor Injury1,397minor injury crashes9.4%

↓-7.9%prior 1,517

Possible Injury2,847possible injury crashes19.2%

↓-1.9%prior 2,901

No Injury10,223no injury crashes68.8%

↓-1.6%prior 10,385

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

Regarding adverse conditions, crashes occurring on snow-covered roads increased significantly, from 466 in 2021 to 961 in 2022. Similarly, crashes during snowy weather conditions rose from 504 to 931. Conversely, crashes on dry roads decreased from 11,754 in 2021 to 10,533 in 2022.

Weather

Clear8,757 (59.0%)

↓-9.0%prior 9,620

Cloudy3,246 (21.9%)

→-0.0%prior 3,247

Rain1,251 (8.4%)

↓-4.6%prior 1,311

Snow931 (6.3%)

↑84.7%prior 504

Other/Unknown492 (3.3%)

↓-9.7%prior 545

Sleet; Hail67 (0.5%)

↑272.2%prior 18

Freezing Rain or Freezing Drizzle53 (0.4%)

↑194.4%prior 18

Fog; Smog; Smoke28 (0.2%)

↑180.0%prior 10

Blowing Sand; Soil; Dirt; Snow16 (0.1%)

Severe Crosswinds9 (0.1%)

↑80.0%prior 5

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

Lighting

Daylight9,322 (62.8%)

↓-0.4%prior 9,360

Dark - Lighted Roadway4,188 (28.2%)

↓-5.6%prior 4,435

Dawn/Dusk774 (5.2%)

↓-10.0%prior 860

Other/Unknown297 (2.0%)

↓-13.7%prior 344

Dark - Unknown Roadway Lighting139 (0.9%)

↑12.1%prior 124

Dark - Roadway Not Lighted130 (0.9%)

↓-16.7%prior 156

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

Road Surface

Dry10,533 (70.9%)

↓-10.4%prior 11,754

Wet2,579 (17.4%)

↑4.5%prior 2,468

Snow961 (6.5%)

↑106.2%prior 466

Other/Unknown373 (2.5%)

↓-15.4%prior 441

Ice330 (2.2%)

↑172.7%prior 121

Slush54 (0.4%)

↑350.0%prior 12

Water (Standing; Moving)15 (0.1%)

↑66.7%prior 9

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

↓-37.5%prior 8

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 35,029 in 2021 to 33,878 in 2022. While most age groups saw a decrease in involvement, persons aged 65 and older saw an increase from 2,123 to 2,321. The number of Sport Utility Vehicles involved in crashes increased from 6,074 to 6,753, while Passenger Cars decreased from 15,469 to 14,758.

Top Vehicle Makes (28,818 vehicles)

CHEVROLET3,399 (11.8%)

↓-8.0%prior 3,696

FORD3,339 (11.6%)

↓-6.2%prior 3,561

TOYOTA2,047 (7.1%)

↑2.8%prior 1,991

HONDA2,026 (7%)

↓-2.0%prior 2,068

KIA1,516 (5.3%)

↑5.6%prior 1,436

NISSAN1,477 (5.1%)

↓-5.2%prior 1,558

HYUNDAI1,239 (4.3%)

↓-3.5%prior 1,284

DODGE1,221 (4.2%)

↑0.7%prior 1,213

JEEP1,219 (4.2%)

↑9.8%prior 1,110

GMC587 (2%)

↓-3.9%prior 611

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

6,322 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (29,127 persons with recorded sex)

Male15,902 (54.6%)

↓-0.7%prior 16,015

Female13,225 (45.4%)

↓-2.8%prior 13,606

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: Cleveland, OH
Total crash records analyzed: 14,850
Total persons involved: 33,878
Total vehicles involved: 28,818

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: 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/cleveland/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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14,850 CRASHES INCLEVELAND, OH2022