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
3,917 CRASHES IN
OHIO, OH
2021
In 2021, Clark County recorded 3,917 traffic crashes, resulting in 23 fatalities and 1,537 injuries. These incidents involved 8,532 people and 6,865 vehicles. A notable finding from the data is that over a quarter of all crashes, 27.6% or 1,082 incidents, were classified as hit-and-runs.
3,917
Total Crash Events
23
Persons Killed
1,537
Persons Injured
27.6%
Hit-and-Run Rate
Note: "Persons Killed" (23) counts individual fatalities across all crash events. "Fatal" in the severity table below (22) 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
1,082
Hit-and-Run Crashes — 2021
There were 1,082 hit-and-run crashes in Clark County, accounting for 27.6% of all incidents in 2021. This classification is based on the initial determination made by the responding law enforcement officer at the scene of the crash.
Vulnerable Road User Casualties
Motorists comprised the vast majority of those killed or injured, with 21 fatalities and 1,505 injuries recorded. Crashes also resulted in 2 pedestrian fatalities and 32 pedestrian injuries. There were no cyclist fatalities or injuries reported in the 2021 data.
2
Pedestrians Killed
21
Motorists Killed
32
Pedestrians Injured
1,505
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 Clark County peaked on Fridays, with 627 incidents, and during the 4 p.m. hour, which saw 325 crashes. The data shows a clear daytime pattern, with crashes steadily increasing from 6 a.m. to a peak in the late afternoon. Crashes during daylight hours (2,349) were nearly double those occurring in dark conditions (1,280).
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
Of the 3,917 total crashes, 72.4% (2,834) resulted in no injuries, while the remaining 27.6% involved a possible, minor, serious, or fatal injury. There were 22 distinct fatal crashes, which led to a total of 23 fatalities, indicating that most fatal incidents resulted in a single death.
Severity is per crash event (most severe injury). 22 fatal crash events resulted in 23 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
The majority of crashes occurred in favorable conditions. Incidents in clear weather accounted for 2,127 crashes, while 2,841 happened on dry road surfaces. Daylight conditions were present for 2,349 crashes, representing 59.9% of the total. Adverse conditions were less frequent, with 500 crashes occurring during rain and 829 on wet roads.
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 8,532 people involved in crashes, the 26-34 age group was the most represented, with 1,251 individuals. The top three vehicle makes involved in incidents were Chevrolet (1,184 vehicles), Ford (828 vehicles), and Honda (704 vehicles). Passenger cars were the most common vehicle type, involved in 3,107 instances.
Top Vehicle Makes (6,865 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
1,028 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (7,579 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 initial harmful event in most crashes, 3,147 incidents or 80.3%, occurred on the primary roadway. A significant portion, totaling 593 crashes (15.1%), were classified as run-off-road events, with the first harmful event happening on the roadside (430), shoulder (142), or in the median (21).
Crash Location (First Harmful Event)
"Other" combines 6 smaller categories (34 records): Off ramp (15), On ramp (12), Railway grade crossing (3), Shared-use paths or trails (2), Toll Booth (1), Crossover (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Traffic Control Device
The most common traffic control environment where crashes occurred was 'No Control,' which was documented in 4,799 vehicle instances. Crashes at signalized intersections were noted in 1,458 instances. An additional 560 instances occurred at locations controlled by a stop sign.
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
Analysis of driver actions shows that 'Following too Close / ACDA' was the leading contributing factor, cited in 599 instances. This was followed by 'Other Improper Action' with 596 instances, 'Failure to Yield' with 467 instances, and 'Drove off Road' with 408 instances.
Driver Contributing Factor
Showing top 9 of 23 reported. 14 additional (576 total) not shown: Left of Center, Improper Backing, Improper Turn, Swerving to Avoid, Improper Passing, Operating Defective Equipment, Load shifting/Falling/Spilling, Improper Start From a Parked Position, Vision Obstruction, Wrong Way, Improper Crossing, Opening Door into Roadway, Stopped or Parked Illegally, 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
Crashes involving commercial trucks accounted for 335 incidents, or 8.5% of all crashes in Clark County. Of these, 206 involved a semi-tractor trailer, while the remaining 129 involved other types of commercial vehicles.
Vulnerable Road Users & Motorcycles
There were 121 crashes involving motorcyclists, pedestrians, or bicyclists. Vulnerable road users (pedestrians and bicyclists) were involved in a combined 53 crashes, representing 1.4% of all incidents. Motorcyclists were involved in an additional 68 crashes.
Animal-Involved Crashes
A total of 250 crashes, or 6.4% of all incidents, were attributed to collisions with animals. Deer were the most common animal involved, accounting for 232 of these crashes, or 92.8% of all animal-related incidents.
Impairment (Alcohol / Drugs)
Impairment was a factor in 270 crashes, representing 6.9% of the total. Alcohol was the most cited substance, involved in 153 crashes, while drugs were a factor in 76 crashes. An additional 41 crashes involved a combination of both alcohol and drugs.
Driver Condition
Among the 5,996 drivers involved in crashes, 320 were noted as having a condition other than 'Apparently Normal'. The most cited condition was 'Under the Influence of Medications / Drugs / Alcohol,' recorded for 235 drivers. An additional 44 drivers were reported to have fallen asleep, fainted, or been fatigued.
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
A specific distraction was identified for 220 of the 5,996 drivers involved in crashes. The most common issues were 'Other distraction inside the vehicle' (80 drivers) and 'Other distraction outside the vehicle' (67 drivers). Manually operating an electronic device like a phone was cited for 28 drivers.
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 vast majority of crashes (3,017) occurred on straight and level sections of road. However, 709 crashes (18.1%) happened on a grade, and 316 crashes (8.1%) occurred on a curve. Crashes on sections with both a curve and a grade totaled 132.
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 Springfield, which accounted for 2,710 incidents, or 69.2% of the county's total. The townships of Mad River and Bethel followed, with 306 (7.8%) and 241 (6.1%) crashes, respectively.
Top Cities
Showing top 9 of 18 reported. 9 additional (98 total) not shown: Madison, Pleasant, Enon, South Vienna, Park Layne, Tremont City, South Charleston, North Hampton, Catawba.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Pre-Crash Driver Action
Among the 6,865 vehicles involved, the most common pre-crash action was driving 'Straight Ahead,' reported for 3,656 vehicles (53.2%). The next most frequent actions were 'Slowing or Stopped In Traffic' (683 vehicles) and being 'Parked' (609 vehicles).
Pre-Crash Driver Action
Showing top 9 of 20 reported. 11 additional (259 total) not shown: Entering Traffic Lane, Overtaking/Passing, Driverless, Leaving Traffic Lane, Walking; Running; Jogging; Playing, Making U-Turn, Standing, Other Non-Motorist, Entering or Crossing Specified Location, Standing Outside Disabled Vehicle, Approaching or Leaving Vehicle.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Manner of Collision
Single-vehicle crashes, categorized as 'Not Collision Between Two Vehicles in Transport,' were the most common type of incident, accounting for 1,652 crashes (42.2%). Among multi-vehicle crashes, angle collisions were the most frequent, with 993 incidents (25.4%), followed by rear-end collisions with 650 incidents (16.6%).
Manner of Collision
"Other" combines 2 smaller categories (61 records): Head-on (56), Rear-to-rear (5).
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 prevalent vehicle type involved in crashes, accounting for 3,107 of the 6,865 vehicles (45.3%). Sport Utility Vehicles (1,449) and Pick-up trucks (848) were the next most common. Commercial vehicles, including semi-tractors, single-unit trucks, and buses, were involved in 419 instances.
Vehicle Type
"Other" combines 16 smaller categories (310 records): Single Unit Truck (79), Motorcycle 2 Wheeled (68), Pedestrian/Skater (38), Other Vehicle (30), Van (9-15 Seats) (25), Bus (16+ Passengers) (16), Bicycle (16), All Terrain Vehicle (ATV/UTV) (9), Heavy Equipment (8), Farm Equipment (5), Motorhome (5), Moped or Motorized Bicycle (4), Autocycle (3), Motorcycle 3 Wheeled (2), Train (1), Golf Cart (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Person Type
Of the 8,532 individuals involved in crashes, the majority were drivers (5,996 people, or 70.3%). Passengers, referred to as occupants, accounted for another 2,496 individuals (29.3%). A small fraction were pedestrians, who made up 40 of the total persons involved.
Person Type
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Person Injury Severity
Among the 8,532 people involved in crashes, 1,537 sustained some level of injury, representing 18.0% of all participants. A total of 23 individuals suffered fatal injuries. The largest group, 6,502 people, were recorded as having no injuries.
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
Based on records for 8,532 participants, 6,341 individuals were noted as using a shoulder and lap belt. However, 517 people, or 6.1% of all participants, were recorded as using no safety equipment at the time of the crash. Child restraints were used for 300 occupants.
Occupant Safety Equipment
"Other" combines 3 smaller categories (73 records): Lap Belt Only Used (40), Helmet Used (32), Lighting - Pedestrian / Bicycle Only (1).
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 (2,501 incidents, or 63.8%) involved two vehicles. Single-vehicle crashes were also common, accounting for 1,207 incidents (30.8%). Crashes involving three or more vehicles were less frequent, totaling 209 incidents, with one crash involving as many as seven vehicles.
Vehicles Per Crash
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 5, 2026
Data Coverage
- Reporting period: 2021-01-01 through 2021-12-31 (365 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 3,917
- Total persons involved: 8,532
- Total vehicles involved: 6,865
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 5, 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 5, 2026 · All rights reserved