Yearly Traffic Safety Analysis

265,908 CRASHES IN
OHIO, OH
2022

All metrics benchmarked against2021

In 2022, Ohio recorded 265,908 total traffic crashes, a 1.5% decrease from the 270,021 crashes reported in 2021. This overall reduction was accompanied by a 5.3% drop in both fatalities and injuries year-over-year. One of the most significant shifts was a 13.9% decrease in crashes involving driving under the influence (DUI), which fell from 13,783 incidents in 2021 to 11,864 in 2022.

265,908

▼ -1.5%was 270,021

Total Crash Events

1,295

▼ -5.3%was 1,367

Persons Killed

95,078

▼ -5.3%was 100,429

Persons Injured

46,235

▼ -7.3%was 49,853

Hit-and-Run Crashes

Note: "Persons Killed" (1,295) counts individual fatalities across all crash events. "Fatal" in the severity table below (1,198) 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

The overall trend in traffic incidents shows a decline from 2021 to 2022. Total crashes decreased by 1.5%, from 270,021 to 265,908. This was matched by a positive trend in outcomes, as total fatalities fell by 5.3% (from 1,367 to 1,295) and total injuries also dropped by 5.3% (from 100,429 to 95,078).

46,235

Hit-and-Run Crashes — 2022

▼ -7.3% vs prior (49,853)

Hit-and-run incidents decreased in both absolute numbers and as a percentage of total crashes. The count of hit-and-run crashes fell from 49,853 in 2021 to 46,235 in 2022. This corresponds to a drop in the hit-and-run rate from 18.5% of all crashes in the prior year to 17.4% in the current year, indicating a downward trend for this type of incident.

Vulnerable Road User Casualties

173

Pedestrians Killed

Prior: 182↓-4.9%

1,122

Motorists Killed

Prior: 1,185↓-5.3%

2,212

Pedestrians Injured

Prior: 2,199↑0.6%

92,866

Motorists Injured

Prior: 98,230↓-5.5%

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 highly consistent year-over-year. In both 2022 and 2021, Friday was the peak day for crashes, with counts of 44,675 and 44,730 respectively. Similarly, the 4 p.m. hour was the peak time for crashes in both periods, accounting for 21,242 crashes in 2022 and 21,577 in 2021, indicating no significant shift in daily or weekly patterns.

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 of crashes showed a slight improvement in 2022 compared to the prior year. The proportion of fatal crashes held steady at 0.5% of all crashes in both periods, though the absolute number of fatal crashes fell from 1,255 to 1,198. The combined proportion of crashes resulting in any level of injury (Serious, Minor, or Possible) decreased from 25.9% in 2021 to 24.8% in 2022, with a corresponding increase in the share of no-injury crashes from 73.7% to 74.7%.

Severity is per crash event (most severe injury). 1,198 fatal crash events resulted in 1,295 persons killed.

Outcome by Severity (Crash Events)

Fatal1,198fatal crashes0.5%

↓-4.5%prior 1,255

Serious Injury6,175serious injury crashes2.3%

↓-3.6%prior 6,407

Minor Injury33,483minor injury crashes12.6%

↓-4.9%prior 35,201

Possible Injury26,346possible injury crashes9.9%

↓-6.6%prior 28,220

No Injury198,706no injury crashes74.7%

↓-0.1%prior 198,938

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

While the distribution of crashes by lighting conditions remained stable, there was a shift in weather-related incidents. The proportion of crashes occurring in clear weather was unchanged at 60.9% for both years. However, crashes in snow increased from 3.6% of the total in 2021 to 5.0% in 2022, and crashes on icy roads rose from 1.2% to 1.9%. Conversely, crashes in rain decreased from 10.5% to 9.1% of the total.

Weather

Clear161,880 (60.9%)

↓-1.6%prior 164,552

Cloudy60,295 (22.7%)

↓-3.2%prior 62,319

Rain24,311 (9.1%)

↓-13.9%prior 28,221

Snow13,217 (5.0%)

↑35.1%prior 9,782

Other/Unknown2,583 (1.0%)

↓-3.3%prior 2,670

Fog; Smog; Smoke1,350 (0.5%)

↑14.3%prior 1,181

Sleet; Hail758 (0.3%)

↑56.3%prior 485

Freezing Rain or Freezing Drizzle703 (0.3%)

↑25.3%prior 561

Blowing Sand; Soil; Dirt; Snow549 (0.2%)

↑594.9%prior 79

Severe Crosswinds262 (0.1%)

↑53.2%prior 171

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

Lighting

Daylight170,884 (64.3%)

↓-0.8%prior 172,291

Dark - Lighted Roadway43,154 (16.2%)

↓-4.9%prior 45,391

Dark - Roadway Not Lighted33,991 (12.8%)

↓-1.6%prior 34,542

Dawn/Dusk14,363 (5.4%)

↑1.4%prior 14,158

Other/Unknown2,167 (0.8%)

↓-3.4%prior 2,243

Dark - Unknown Roadway Lighting1,349 (0.5%)

↓-3.4%prior 1,396

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

Road Surface

Dry200,041 (75.2%)

↓-3.1%prior 206,347

Wet45,229 (17.0%)

↓-8.5%prior 49,434

Snow12,482 (4.7%)

↑56.2%prior 7,989

Ice5,085 (1.9%)

↑50.8%prior 3,372

Other/Unknown1,909 (0.7%)

↑1.4%prior 1,883

Slush807 (0.3%)

↑43.6%prior 562

Water (Standing; Moving)213 (0.1%)

↓-15.8%prior 253

Sand; Mud; Dirt; Oil; Gravel142 (0.1%)

↓-21.5%prior 181

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

Vehicles & Demographics

The makes of vehicles most frequently involved in crashes remained consistent, with Chevrolet, Ford, Honda, Toyota, and Dodge being the top five in both 2021 and 2022. Regarding the age of persons involved, the distribution was also largely stable. However, the proportion of individuals aged 65 and older saw a slight increase from 9.7% of all persons in 2021 to 10.3% in 2022, while the 16-20 age group's representation decreased slightly from 11.9% to 11.4%.

Top Vehicle Makes (475,669 vehicles)

CHEVROLET69,389 (14.6%)

↓-4.9%prior 72,963

FORD66,405 (14%)

↓-3.9%prior 69,129

HONDA41,681 (8.8%)

↑0.5%prior 41,486

TOYOTA36,564 (7.7%)

↑2.4%prior 35,715

DODGE23,690 (5%)

↓-7.3%prior 25,552

NISSAN21,822 (4.6%)

↑0.5%prior 21,705

JEEP19,448 (4.1%)

↑3.4%prior 18,816

KIA18,653 (3.9%)

↑6.1%prior 17,584

HYUNDAI18,416 (3.9%)

↑0.7%prior 18,281

GMC12,699 (2.7%)

↓-1.2%prior 12,856

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

43,838 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (563,579 persons with recorded sex)

Male308,948 (54.8%)

↓-0.5%prior 310,446

Female254,631 (45.2%)

↓-1.1%prior 257,420

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: ohio, OH
Total crash records analyzed: 265,908
Total persons involved: 597,336
Total vehicles involved: 475,669

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: 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/statewide/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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265,908 CRASHES INOHIO, OH2022