Yearly Traffic Safety Analysis

12,266 CRASHES IN
OHIO, OH
2022

All metrics benchmarked against2021

In Lucas County, total traffic crashes decreased by 12.1% from 13,959 in 2021 to 12,266 in 2022. This downward trend was reflected across all major safety metrics, with the most notable shift being a 25.9% reduction in fatalities, from 54 in the prior year to 40 in the current year.

12,266

▼ -12.1%was 13,959

Total Crash Events

▼ -25.9%was 54

Persons Killed

4,635

▼ -15.6%was 5,489

Persons Injured

3,126

▼ -20.8%was 3,945

Hit-and-Run Crashes

Note: "Persons Killed" (40) counts individual fatalities across all crash events. "Fatal" in the severity table below (38) 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

Traffic safety metrics in Lucas County showed a significant positive trend, with crashes, injuries, and fatalities all decreasing year-over-year. Total crashes fell by 1,693 from 2021 to 2022, a 12.1% reduction. Concurrently, total injuries dropped by 15.6% (from 5,489 to 4,635), and fatalities decreased by 25.9% (from 54 to 40).

3,126

Hit-and-Run Crashes — 2022

▼ -20.8% vs prior (3,945)

Hit-and-run incidents decreased in both absolute numbers and as a proportion of total crashes. The number of hit-and-run crashes fell by 20.8%, from 3,945 in 2021 to 3,126 in 2022. The hit-and-run rate also trended downward, accounting for 25.5% of all crashes in 2022, a decrease from the 28.3% rate recorded in the prior year.

Vulnerable Road User Casualties

Pedestrians Killed

Prior: 10↓-70.0%

Motorists Killed

Prior: 44↓-15.9%

101

Pedestrians Injured

Prior: 124↓-18.5%

4,534

Motorists Injured

Prior: 5,365↓-15.5%

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 largely consistent year-over-year. Friday was the peak day for crashes in both 2022 (1,985 crashes) and 2021 (2,262 crashes). The peak hour for collisions shifted slightly later, from the 3 p.m. hour in 2021 (1,187 crashes) to the 4 p.m. hour in 2022 (1,124 crashes), with both times corresponding to the afternoon rush.

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 saw a positive change, with a notable decrease in fatal outcomes. The number of fatal crashes dropped from 53 in 2021 to 38 in 2022, and the fatal crash rate per 100 collisions decreased from 0.38 to 0.31. The proportion of crashes resulting in any type of injury (Serious, Minor, or Possible) saw a slight decrease from 26.0% in 2021 to 25.4% in 2022, while crashes with no reported injury increased from 73.7% to 74.3% of the total.

Severity is per crash event (most severe injury). 38 fatal crash events resulted in 40 persons killed.

Outcome by Severity (Crash Events)

Fatal38fatal crashes0.3%

↓-28.3%prior 53

Serious Injury234serious injury crashes1.9%

↓-11.7%prior 265

Minor Injury1,562minor injury crashes12.7%

↓-11.6%prior 1,767

Possible Injury1,321possible injury crashes10.8%

↓-16.9%prior 1,590

No Injury9,111no injury crashes74.3%

↓-11.4%prior 10,284

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

The distribution of crashes across different environmental conditions remained remarkably stable between 2021 and 2022. Crashes in clear weather accounted for 66.5% of incidents in 2022, nearly identical to the 66.2% in 2021. Similarly, daylight crashes made up 65.6% of the total in 2022 versus 64.9% in 2021. The largest proportional change was a slight decrease in crashes on wet road surfaces, which fell from 19.1% of all crashes in 2021 to 17.2% in 2022.

Weather

Clear8,152 (66.5%)

↓-11.7%prior 9,234

Cloudy2,333 (19.0%)

↓-13.4%prior 2,693

Rain1,100 (9.0%)

↓-21.8%prior 1,407

Snow454 (3.7%)

↑13.5%prior 400

Other/Unknown126 (1.0%)

↓-13.7%prior 146

Fog; Smog; Smoke29 (0.2%)

↓-19.4%prior 36

Freezing Rain or Freezing Drizzle27 (0.2%)

↑50.0%prior 18

Sleet; Hail20 (0.2%)

↑53.8%prior 13

Blowing Sand; Soil; Dirt; Snow15 (0.1%)

↑114.3%prior 7

Severe Crosswinds10 (0.1%)

↑100.0%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

Daylight8,050 (65.6%)

↓-11.1%prior 9,058

Dark - Lighted Roadway2,833 (23.1%)

↓-11.7%prior 3,210

Dawn/Dusk592 (4.8%)

↓-22.3%prior 762

Dark - Roadway Not Lighted534 (4.4%)

↓-15.1%prior 629

Dark - Unknown Roadway Lighting171 (1.4%)

↓-12.8%prior 196

Other/Unknown86 (0.7%)

↓-17.3%prior 104

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

Road Surface

Dry9,355 (76.3%)

↓-12.2%prior 10,651

Wet2,107 (17.2%)

↓-20.9%prior 2,664

Snow486 (4.0%)

↑25.3%prior 388

Ice188 (1.5%)

↑54.1%prior 122

Other/Unknown113 (0.9%)

↑6.6%prior 106

Slush14 (0.1%)

↑55.6%prior 9

Sand; Mud; Dirt; Oil; Gravel3 (0.0%)

↓-76.9%prior 13

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

Vehicles & Demographics

The top vehicle makes involved in crashes were consistent year-over-year, with Chevrolet, Ford, and Dodge ranking as the top three in both 2022 and 2021, although counts for all top makes decreased. Analysis of persons involved shows a minor shift in age demographics; individuals aged 65 and older represented a slightly higher proportion of people involved in crashes in 2022 (9.4%) compared to 2021 (8.4%), while the proportion for the 16-20 age group decreased slightly from 10.6% to 10.1%.

Top Vehicle Makes (23,456 vehicles)

CHEVROLET3,651 (15.6%)

↓-13.7%prior 4,233

FORD3,639 (15.5%)

↓-12.2%prior 4,143

DODGE2,030 (8.7%)

↓-15.5%prior 2,403

JEEP1,526 (6.5%)

↑0.5%prior 1,518

HONDA1,435 (6.1%)

↓-12.3%prior 1,637

TOYOTA1,059 (4.5%)

↓-6.9%prior 1,137

CHRYSLER961 (4.1%)

↓-16.4%prior 1,149

KIA831 (3.5%)

↓-15.5%prior 984

GMC741 (3.2%)

↓-13.5%prior 857

NISSAN730 (3.1%)

↓-11.2%prior 822

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

3,213 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (26,948 persons with recorded sex)

Male14,090 (52.3%)

↓-11.9%prior 15,999

Female12,858 (47.7%)

↓-12.5%prior 14,687

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 6, 2026

Data Coverage

Reporting period: 2022-01-01 through 2022-12-31 (365 days)
Geographic scope: ohio, OH
Total crash records analyzed: 12,266
Total persons involved: 29,146
Total vehicles involved: 23,456

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 6, 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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12,266 CRASHES INOHIO, OH2022