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
1,269 CRASHES IN
OHIO, OH
2021
In 2021, Union County recorded 1,269 traffic crashes, resulting in 5 fatalities and 438 injuries. These incidents involved 2,613 individuals and 2,039 vehicles. A significant portion of crashes, 75.9% (963 incidents), resulted in no injuries. The data indicates that crashes peaked on Fridays and during the 5 p.m. evening commute hour.
1,269
Total Crash Events
5
Persons Killed
438
Persons Injured
9.9%
Hit-and-Run Rate
Note: "Persons Killed" (5) counts individual fatalities across all crash events. "Fatal" in the severity table below (5) 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
125
Hit-and-Run Crashes — 2021
Based on initial officer determinations, 125 crashes in Union County during 2021 were classified as hit-and-run incidents. This represents 9.9% of all crashes recorded in the period. These events are part of the total crash count of 1,269 for the year.
Vulnerable Road User Casualties
In 2021, crash data for Union County shows that motorists constituted all of the fatalities and the vast majority of injuries. A total of 5 motorists were killed and 436 were injured. Among vulnerable road users, 2 pedestrians were injured. No fatalities were recorded for pedestrians or cyclists, and no cyclists were reported as injured.
0
Pedestrians Killed
5
Motorists Killed
2
Pedestrians Injured
436
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 analysis by time reveals distinct patterns. The most frequent day for crashes was Friday, with 247 incidents, followed by Tuesday with 200. The evening commute period was the most hazardous time, with the single hour from 5 p.m. to 6 p.m. recording the highest number of crashes (109). Overall, crashes were concentrated in the afternoon and evening, with a peak between 3 p.m. and 7 p.m.
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 1,269 total crashes, the majority (75.9% or 963 incidents) were property-damage-only with no reported injuries. Injury-involved crashes accounted for 23.8% of the total, comprising 32 serious injuries, 146 minor injuries, and 123 possible injuries. There were 5 fatal crashes, which resulted in 5 total fatalities, indicating one fatality per fatal crash event.
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 in 2021 occurred in favorable conditions. Specifically, 76.7% (974 crashes) happened on dry roads, 65.0% (825 crashes) occurred in clear weather, and 59.3% (752 crashes) took place during daylight hours. Crashes in adverse conditions included 107 incidents during rain, 69 in snow, and 200 on wet road surfaces.
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
Analysis of the 2,613 people involved in crashes shows the 26-34 age group was most represented, with 405 individuals, followed closely by the 35-44 age group with 399 individuals. Among the 2,039 vehicles involved, passenger cars were the most common, accounting for 940 units. The top three vehicle makes involved in crashes were Honda (496 vehicles), Ford (243 vehicles), and Chevrolet (228 vehicles).
Top Vehicle Makes (2,039 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
111 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (2,516 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 location of the first harmful event was on the roadway for 1,015 of the 1,269 crashes. A notable portion of incidents were run-off-road events, with 96 crashes occurring on the roadside, 64 on the shoulder, and 5 in the median. Combined, these crashes that occurred off the primary travel lanes but within the right-of-way account for 165 incidents, or 13.0% of the total.
Crash Location (First Harmful Event)
"Other" combines 4 smaller categories (15 records): Driveway/Alley access (5), In Median (5), On Gore (4), Railway grade crossing (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 control at crash locations shows that the majority of vehicle units were involved in crashes where no traffic control was present. Of the 2,039 vehicles in crashes, 1,389 were at locations with no control device. In contrast, 314 vehicle units were involved in crashes at signalized intersections, and 185 were at intersections 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
Driver actions were a significant factor in many crashes. The most commonly cited contributing factor was 'Following too Close / ACDA,' attributed to 248 vehicle operators. The second most frequent factor was 'Drove off Road,' noted for 154 drivers, followed by 'Failure to Yield' for 136 drivers. Together, these three actions account for the primary contributing factor in over a quarter of all vehicle involvements.
Driver Contributing Factor
Showing top 9 of 22 reported. 13 additional (146 total) not shown: Improper Passing, Improper Turn, Swerving to Avoid, Ran Stop Sign, Ran Red Light, Operating Defective Equipment, Load shifting/Falling/Spilling, Vision Obstruction, Improper Crossing, Improper Start From a Parked Position, Wrong Way, Lying in Roadway, Stopped or Parked Illegally.
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 121 vehicle involvements in 2021. Of these, 79 involved a semi-tractor trailer, while the remaining 42 involved other types of commercial vehicles. These incidents represent a specific subset of crashes often associated with higher severity and liability.
Vulnerable Road Users & Motorcycles
A total of 31 crashes involved either a motorcyclist or a vulnerable road user. Motorcyclists were the largest group, involved in 26 crashes. Vulnerable road users, defined as pedestrians and bicyclists, were involved in 5 crashes, with 3 involving pedestrians and 2 involving bicyclists.
Animal-Involved Crashes
Animal-related collisions were a notable crash type, accounting for 240 incidents, or 18.9% of all crashes in 2021. The vast majority of these incidents, 230 crashes, involved a collision with a deer. The remaining 10 crashes involved other, unspecified types of animals.
Impairment (Alcohol / Drugs)
Impairment was a factor in 60 crashes, representing 4.7% of the total for the year. Alcohol was the most common form of impairment, cited in 47 crashes. Drugs were a factor in 9 crashes, and a combination of alcohol and drugs was noted in 4 crashes. These figures are based on officer suspicion or testing at the scene.
Driver Condition
Excluding drivers noted as 'Apparently Normal,' a total of 78 drivers were recorded with a specific adverse physical or emotional condition. The most frequent condition was being 'Under the Influence of Medications / Drugs / Alcohol,' with 44 drivers. An additional 16 drivers were noted as having 'Fell Asleep; Fainted; Fatigued; etc.', and 8 were identified as being 'Emotional'.
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 distraction was identified, a total of 85 were engaged in a distracting activity. The most common were 'Other distraction inside the vehicle' (38 drivers) and 'Other distraction outside the vehicle' (24 drivers). Use of electronic devices was specifically noted for 18 drivers, including 8 who were manually operating a device and 10 engaged in another electronic device activity.
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
Roadway geometry analysis shows that 193 crashes, or 15.2% of the total, occurred on a curve. A larger portion, 415 crashes (32.7%), occurred on a grade, whether straight or curved. The majority of crashes, 737 incidents (58.1%), took place on straight, level sections of roadway.
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 within Union County was uneven. The City of Marysville accounted for the largest share, with 411 crashes, representing 32.4% of the county's total. The Township of Jerome had the second-highest number with 275 crashes (21.7%). Following them were the townships of Paris with 109 crashes and Allen with 108 crashes.
Top Cities
Showing top 9 of 21 reported. 12 additional (179 total) not shown: Liberty, Taylor, Dover, Claibourne, Washington, Richwood, Jackson, Dublin, Milford Center, Plain City, New California, Unionville Center.
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 action of vehicles immediately prior to a crash was proceeding 'Straight Ahead,' which described the movement of 1,148 vehicles. The second most frequent pre-crash action was 'Slowing or Stopped In Traffic,' with 275 vehicles. Turning maneuvers were also common, with 125 vehicles 'Making Left Turn' and 63 'Making Right Turn' before impact.
Pre-Crash Driver Action
Showing top 9 of 17 reported. 8 additional (104 total) not shown: Overtaking/Passing, Other/Unknown, Leaving Traffic Lane, Making U-Turn, Driverless, Entering or Crossing Specified Location, Standing, Walking; Running; Jogging; Playing.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Manner of Collision
Nearly half of all crashes were single-vehicle incidents, with 'Not Collision Between Two Vehicles in Transport' being the classification for 610 crashes, or 48.1% of the total. Among multi-vehicle crashes, the most common type was a 'Rear-end' collision, which accounted for 252 incidents (19.9%). Angle collisions were the next most frequent, with 200 crashes (15.8%).
Manner of Collision
"Other" combines 2 smaller categories (19 records): Sideswipe; opposite direction (15), Rear-to-rear (4).
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, with 940 units recorded. Sport Utility Vehicles (SUVs) were the second most common, with 487 units, followed by Pick-up trucks with 246 units. Commercial vehicles were also present, including 82 semi-tractors and 44 single-unit trucks.
Vehicle Type
"Other" combines 13 smaller categories (110 records): Cargo Van (40), Motorcycle 2 Wheeled (26), Other Vehicle (11), Farm Equipment (8), Van (9-15 Seats) (6), Bus (16+ Passengers) (6), Heavy Equipment (3), Pedestrian/Skater (3), Bicycle (2), Motorcycle 3 Wheeled (2), Moped or Motorized Bicycle (1), Motorhome (1), Autocycle (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 2,613 persons were involved in traffic crashes in 2021. The vast majority of these individuals, 1,961 people, were drivers. An additional 649 people were vehicle occupants or passengers. A small number of non-motorists were involved, including 3 pedestrians.
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 2,613 people involved in crashes, 2,104 (80.5%) sustained no injuries. A total of 438 individuals were injured, categorized as 43 with serious injuries, 194 with minor injuries, and 201 with possible injuries. Five individuals sustained fatal injuries, accounting for 0.2% of all persons involved.
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
Data on safety equipment usage shows that 2,202 occupants were reported as using a shoulder and lap belt. However, 73 individuals were recorded as using no safety restraints at the time of their crash. Among children, 65 were in a forward-facing child restraint, 30 in a rear-facing system, and 28 in a booster seat.
Occupant Safety Equipment
"Other" combines 2 smaller categories (23 records): Shoulder Belt Only Used (17), Lap Belt Only Used (6).
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 involved either one or two vehicles. Two-vehicle crashes were the most common scenario, accounting for 666 incidents (52.5% of total). Single-vehicle crashes were also frequent, with 557 incidents (43.9%). Multi-vehicle crashes involving three or more vehicles were less common, with 46 such incidents recorded.
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: 1,269
- Total persons involved: 2,613
- Total vehicles involved: 2,039
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