ThatCarHitMe.com
An Injuria.ai Company
CRASH INTELLIGENCE REPORT · OHIO, OH · 2021
Purpose: Machine-readable JSON endpoint for AI agents, LLMs, researchers, and programmatic consumers. Returns all underlying crash data and AI-generated commentary without HTML.
Authentication: None required. Public endpoint.
GET: https://thatcarhitme.com/api/crash-data/reports/data/ohio/statewide/2021-annual-report
Yearly Traffic Safety Analysis
13,959 CRASHES IN
OHIO, OH
2021
In 2021, Lucas County recorded 13,959 total traffic crashes, resulting in 54 fatalities and 5,489 injuries. A notable finding from the data is the high incidence of hit-and-run events, which were identified in 28.3% of all crashes. The majority of crashes (73.7%) did not result in any reported injuries.
13,959
Total Crash Events
54
Persons Killed
5,489
Persons Injured
28.3%
Hit-and-Run Rate
Note: "Persons Killed" (54) 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 · 2021-01-01 to 2021-12-31 · Aggregate counts from crash, person, and vehicle records
3,945
Hit-and-Run Crashes — 2021
Based on the initial determination of responding officers, 3,945 crashes in 2021 were classified as hit-and-runs. This represents 28.3% of all crashes recorded in the county during this period. This classification indicates that a driver involved in the collision left the scene without providing required information.
Vulnerable Road User Casualties
In 2021, 54 people were killed and 5,489 were injured in Lucas County crashes. Motorists comprised the largest group, with 44 fatalities and 5,365 injuries. Vulnerable road users were also significantly impacted, with 10 pedestrians killed and 124 injured. The data reports no cyclist fatalities or injuries for the period.
10
Pedestrians Killed
44
Motorists Killed
124
Pedestrians Injured
5,365
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
Crash frequencies in Lucas County peaked on Fridays, with 2,262 incidents, and during the 3 p.m. hour, which saw 1,187 crashes. The afternoon commuting period from 3 p.m. to 5 p.m. consistently showed the highest crash volumes of the day. Overall, 64.9% of all crashes (9,058) occurred during daylight hours.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The majority of crashes, 73.7% (10,284 incidents), resulted in no injuries and involved only property damage. Injury-resulting crashes accounted for 26.0% of the total, comprising 265 serious injury, 1,767 minor injury, and 1,590 possible injury crashes. There were 53 crashes that resulted in one or more fatalities.
Severity is per crash event (most severe injury). 53 fatal crash events resulted in 54 persons killed.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Most severe injury per crash record
Road & Environmental Conditions
A significant majority of crashes occurred in ideal driving conditions, with 76.3% on dry roads (10,651 crashes), 66.2% in clear weather (9,234 crashes), and 64.9% in daylight (9,058 crashes). Adverse conditions were less frequent, with 2,664 crashes on wet roads and 1,407 occurring during rain. Snow was a factor on the road surface in 388 crashes.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Road surface condition field
Vehicles & Demographics
Among the 33,325 people involved in crashes, the 26-34 age group was the most represented, with 5,499 individuals. Analysis of the 26,866 vehicles involved shows that the most frequent makes were Chevrolet (4,233), Ford (4,143), and Dodge (2,403). These top three makes collectively accounted for a significant portion of vehicles in collisions.
Top Vehicle Makes (26,866 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
4,066 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (30,686 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Person-level records linked to crash events
Crash Location (First Harmful Event)
The vast majority of initial harmful events, 12,558 crashes, occurred directly on the roadway. A total of 793 crashes were classified as run-off-road events, where the first impact occurred off the primary travel lanes. These included 389 crashes on the shoulder, 333 on the roadside, and 71 in the median.
Crash Location (First Harmful Event)
"Other" combines 8 smaller categories (136 records): Off ramp (63), On ramp (46), Railway grade crossing (12), Toll Booth (4), Shared-use paths or trails (4), Crossover (3), On Gore (3), Bike Lane (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Traffic Control Device
Analysis of traffic controls associated with vehicles in crashes shows that 15,869 units were at locations with no traffic controls. At controlled locations, 8,507 units were at intersections with a traffic signal, while 1,552 were at locations with a stop sign. A smaller number of vehicles were involved in crashes at locations with roundabouts (412) or yield signs (213).
Traffic Control Device
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Driver Contributing Factor
Among contributing factors cited for drivers, 'Following too Close / ACDA' was the most common, noted in 3,397 instances. 'Failure to Yield' was the second-leading factor with 2,160 citations, followed by 'Improper Lane Change' with 981 instances. 'Drove off Road' and 'Ran Red Light' were also significant factors, attributed in 717 and 562 cases, respectively.
Driver Contributing Factor
Showing top 9 of 23 reported. 14 additional (1,726 total) not shown: Unsafe Speed, Improper Passing, Left of Center, Ran Stop Sign, Swerving to Avoid, Operating Defective Equipment, Improper Crossing, Improper Start From a Parked Position, Load shifting/Falling/Spilling, Wrong Way, Vision Obstruction, Stopped or Parked Illegally, Opening Door into Roadway, Lying in Roadway.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Commercial / Truck Involvement
A total of 790 commercial vehicles were involved in crashes in 2021. Of these, 533 were identified as semi-tractor-trailers. The remaining 257 were classified as other types of commercial vehicles.
Vulnerable Road Users & Motorcycles
Crashes in 2021 involved 392 vulnerable road users or motorcyclists. Motorcyclists were the largest group with 191 incidents. There were 201 crashes involving vulnerable road users, which included 137 pedestrians and 64 bicyclists.
Animal-Involved Crashes
There were 319 crashes involving animals reported in 2021, accounting for 2.3% of all incidents. The vast majority of these, 290 crashes, specifically involved collisions with deer. The remaining 29 incidents involved other, unspecified types of animals.
Impairment (Alcohol / Drugs)
Impairment was a factor in 491 crashes, representing 3.5% of the total. Alcohol was the most frequently cited substance, involved in 375 crashes. An additional 75 crashes involved drugs, and 41 crashes involved a combination of both alcohol and drugs.
Driver Condition
Beyond normal driving conditions, officers noted specific adverse driver states in 703 instances. The most common was being 'Under the Influence of Medications / Drugs / Alcohol', recorded for 404 drivers. Other noted conditions included 'Fell Asleep; Fainted; Fatigued' (91 drivers), 'Physical Impairment' (82 drivers), and 'Emotional' distress (67 drivers).
Driver Condition
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Person-level records linked to crash events
Driver Distraction
Among drivers for whom a specific distraction was noted, the most common were 'Other distraction inside the vehicle' (259 drivers) and 'Other distraction outside the vehicle' (240 drivers). The use of electronic devices was also a factor, with 83 drivers cited for manually operating a device and 48 for talking on a hand-held device.
Driver Distraction
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Person-level records linked to crash events
Road Alignment
The majority of crashes (12,469) occurred on straight and level sections of roadway. However, road geometry was a factor in a portion of incidents, with 792 crashes occurring on curves and 971 crashes occurring on grades (either straight or curved).
Road Alignment
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Top Cities
The geographic distribution of crashes was heavily concentrated in the city of Toledo, which recorded 10,227 incidents, or 73.3% of the county's total. Sylvania followed with 1,225 crashes (8.8% of the total), and Springfield recorded 634 crashes (4.5% of the total).
Top Cities
Showing top 9 of 19 reported. 10 additional (311 total) not shown: Ottawa Hills, Providence, Whitehouse, Spencer, Richfield, Jerusalem, Washington, Harding, Lucas, Roche De Boeuf.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Pre-Crash Driver Action
The most common pre-crash action for vehicles involved in collisions was 'Straight Ahead,' documented for 13,878 vehicles. The next most frequent action was 'Slowing or Stopped In Traffic,' noted for 4,003 vehicles. 'Making Left Turn' was the third most common pre-crash maneuver, recorded for 2,375 vehicles.
Pre-Crash Driver Action
Showing top 9 of 21 reported. 12 additional (1,174 total) not shown: Entering Traffic Lane, Overtaking/Passing, Leaving Traffic Lane, Walking; Running; Jogging; Playing, Making U-Turn, Driverless, Other Non-Motorist, Entering or Crossing Specified Location, Standing, Approaching or Leaving Vehicle, Standing Outside Disabled Vehicle, Working.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Manner of Collision
The most frequent type of collision was 'Angle' crashes, accounting for 3,930 incidents or 28.2% of the total. This was closely followed by 'Rear-end' collisions, with 3,671 incidents (26.3%). Single-vehicle crashes, classified as 'Not Collision Between Two Vehicles in Transport', made up 23.6% of all incidents (3,297 crashes).
Manner of Collision
"Other" combines 2 smaller categories (346 records): Sideswipe; opposite direction (272), Rear-to-rear (74).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Vehicle Type
Passenger cars were the most common vehicle type involved in crashes, with 13,963 units. Sport Utility Vehicles (6,487 units) and Pick-up trucks (2,741 units) were the next most frequent. Commercial vehicles, including semi-tractors, single-unit trucks, and buses, were involved in 1,302 instances.
Vehicle Type
"Other" combines 19 smaller categories (1,149 records): Single Unit Truck (247), Motorcycle 2 Wheeled (195), Van (9-15 Seats) (157), Pedestrian/Skater (139), Other Vehicle (126), Bus (16+ Passengers) (113), Bicycle (65), Heavy Equipment (42), All Terrain Vehicle (ATV/UTV) (17), Moped or Motorized Bicycle (15), Motorcycle 3 Wheeled (9), Motorhome (8), Wheelchair (Any type) (3), Golf Cart (3), Train (3), Autocycle (3), Farm Equipment (2), Snowmobile (1), Limo (Livery Vehicle) (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Person Type
A total of 33,325 individuals were involved in crashes, with the majority being drivers (25,089 people). The records also included 8,094 vehicle occupants (passengers) and 142 pedestrians. These figures represent every person officially recorded in the crash reports.
Person Type
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Person Injury Severity
Of the 33,325 people involved in traffic crashes, 54 sustained fatal injuries and 5,489 sustained some level of injury, from serious to possible. This means that approximately 16.6% of all individuals involved in a crash were injured. The majority, 25,995 people, were not injured.
Person Injury Severity
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Occupant Safety Equipment
Among vehicle occupants where safety equipment use was known, 24,430 were reported to have used both a shoulder and lap belt. Conversely, 1,485 occupants were documented as having used no safety equipment at all. An additional 1,127 occupants used other forms of restraints like child seats or single belts.
Occupant Safety Equipment
"Other" combines 4 smaller categories (233 records): Lap Belt Only Used (140), Helmet Used (84), Lighting - Pedestrian / Bicycle Only (7), Reflective Clothing (2).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Person-level records linked to crash events
Vehicles Per Crash
The majority of crashes, 77.6% (10,833 incidents), involved two vehicles. Single-vehicle crashes accounted for 15.6% of the total, with 2,179 incidents. Multi-vehicle crashes involving three or more vehicles were less common, with 803 crashes involving three vehicles and 123 involving four.
Vehicles Per Crash
"Other" combines 2 smaller categories (2 records): 9 (1), 12 (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
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: 2021-01-01 through 2021-12-31
- Report generated: July 6, 2026
Data Coverage
- Reporting period: 2021-01-01 through 2021-12-31 (365 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 13,959
- Total persons involved: 33,325
- Total vehicles involved: 26,866
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: 2021." Published July 6, 2026. Reporting period: 2021-01-01 to 2021-12-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/2021-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
ThatCarHitMe.com · An Injuria.ai Company
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Ohio Crash Data (ODOT TIMS) · Csv
Period: 2021-01-01 – 2021-12-31
Generated: July 6, 2026 · All rights reserved