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
742 CRASHES IN
OHIO, OH
2021
In 2021, Mercer County recorded 742 traffic crashes, which resulted in 6 fatalities and 216 injuries. Of the total crashes, 6 were fatal. A significant finding from the data is that collisions with animals, primarily deer, were a factor in 222 incidents, representing nearly 30% of all crashes in the county.
742
Total Crash Events
6
Persons Killed
216
Persons Injured
4.6%
Hit-and-Run Rate
Note: "Persons Killed" (6) counts individual fatalities across all crash events. "Fatal" in the severity table below (6) 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
34
Hit-and-Run Crashes — 2021
In 2021, 34 crashes in Mercer County were classified as hit-and-run incidents, representing 4.6% of all recorded crashes. This classification is based on the initial determination made by the responding law enforcement officer at the scene of the incident.
Vulnerable Road User Casualties
Motor vehicle occupants accounted for the majority of casualties in 2021, with 5 motorists killed and 212 injured. Crashes also impacted vulnerable road users, resulting in 1 pedestrian fatality and 4 pedestrian injuries. No cyclist fatalities or injuries were reported in the dataset for this period.
1
Pedestrians Killed
5
Motorists Killed
4
Pedestrians Injured
212
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 patterns in Mercer County during 2021 show a concentration on Fridays, which was the peak day with 132 crashes, followed by Mondays with 121. The single busiest hour for crashes was the 4 p.m. hour with 57 incidents. Crashes were distributed throughout the day, with 380 incidents occurring in daylight and 351 occurring during dark or dawn/dusk conditions.
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 in 2021, 78.2% (580 incidents), resulted in no injuries and were limited to property damage. Crashes involving a possible, minor, or serious injury accounted for 21% of the total. There were 6 fatal crashes recorded, which resulted in a total of 6 fatalities.
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 majority of crashes in Mercer County occurred in what would be considered ideal driving conditions. Data shows that 79.5% of crashes happened on dry roads and 65.4% occurred in clear weather. Lighting conditions were more varied, with 380 crashes (51.2%) occurring in daylight and 312 crashes (42%) happening in dark conditions.
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 1,495 people involved in crashes shows the 16-20 age group was the most represented with 238 individuals, followed by the 26-34 age group with 228 individuals. Of the 1,144 vehicles involved, the most frequent makes were Chevrolet (217 vehicles), Ford (175 vehicles), and Honda (103 vehicles).
Top Vehicle Makes (1,144 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
33 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (1,477 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 point of impact for most crashes, 639 out of 742, occurred on the primary travel roadway. A notable portion of incidents were run-off-road events, with a combined 83 crashes (11.2%) having their first harmful event on the shoulder, roadside, or in the median.
Crash Location (First Harmful Event)
"Other" combines 2 smaller categories (2 records): In Median (1), Driveway/Alley access (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Traffic Control Device
The majority of vehicles involved in crashes, 823 out of 1,144 (72%), were at locations with no traffic control device present. Crashes at intersections with stop signs involved 166 vehicles (14.5%), while those at signalized intersections involved 138 vehicles (12.1%).
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
The most frequently cited contributing factor for drivers was 'Following too Close / ACDA,' attributed to 115 vehicles. 'Failure to Yield' was the second most common factor, noted for 107 vehicles, followed by 'Drove off Road' for 80 vehicles. Other significant factors included 'Improper Backing' (29 vehicles) and running a stop sign (19 vehicles).
Driver Contributing Factor
Showing top 9 of 20 reported. 11 additional (76 total) not shown: Swerving to Avoid, Ran Red Light, Operating Defective Equipment, Unsafe Speed, Not Discernible, Load shifting/Falling/Spilling, Vision Obstruction, Improper Lane Change, Improper Start From a Parked Position, Improper Crossing, Wrong Way.
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 73 commercial trucks were involved in crashes in Mercer County. Of these, 57 were identified as semi-tractor trailers, while the remaining 16 were classified as other types of commercial vehicles.
Vulnerable Road Users & Motorcycles
In 2021, crashes involved 8 motorcyclists, 5 pedestrians, and 2 bicyclists. Combined, there were 7 crashes involving vulnerable road users (pedestrians and bicyclists), representing just under 1% of all crashes.
Animal-Involved Crashes
Collisions with animals were a major factor in Mercer County crashes, accounting for 222 incidents, or 29.9% of the total for the year. The vast majority of these, 208 crashes, specifically involved deer, while an additional 14 crashes involved other types of animals.
Impairment (Alcohol / Drugs)
Impairment was a suspected factor in 42 crashes, constituting 5.7% of all incidents in 2021. Among these, alcohol was suspected in 31 cases, drugs in 7 cases, and a combination of alcohol and drugs in 4 cases. These figures represent a baseline, as impairment can be under-reported in crash data.
Driver Condition
Among all drivers, 53 were recorded with a specific adverse physical or mental condition at the time of the crash. The most common of these was 'Under the Influence of Medications / Drugs / Alcohol,' recorded for 27 drivers. Other reported conditions included 11 drivers who fell asleep or were fatigued and 10 with a physical impairment.
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 58 out of 1,093 drivers involved in crashes. The most common reported distraction was an unspecified event inside the vehicle, noted for 29 drivers, followed by a distraction outside the vehicle for 14 drivers. Electronic device use was explicitly cited for 12 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, 698 out of 742, occurred on straight and level sections of roadway. Roadway geometry played a role in a smaller number of incidents, with 24 crashes (3.2%) happening on curves and 28 crashes (3.8%) occurring on grades.
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 concentrated in a few key areas, with the City of Celina accounting for 198 incidents, or 26.7% of the county's total. Following Celina, Jefferson Township recorded 99 crashes, Dublin Township had 44, and Marion Township had 40. These top four locations collectively represent 51.3% of all crashes in the county.
Top Cities
Showing top 9 of 19 reported. 10 additional (196 total) not shown: Coldwater, Recovery, Washington, Hopewell, Black Creek, Fort Recovery, Union, Liberty, St. Henry, Rockford.
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 by vehicles prior to a crash was proceeding straight ahead, which was the case for 745 of the 1,144 vehicles involved (65.1%). A significant number of vehicles, 144 (12.6%), were slowing or stopped in traffic at the time of the collision. Turning maneuvers were also a factor, with 71 vehicles making a left turn just before impact.
Pre-Crash Driver Action
Showing top 9 of 16 reported. 7 additional (23 total) not shown: Leaving Traffic Lane, Other/Unknown, Walking; Running; Jogging; Playing, Changing Lanes, Making U-Turn, Entering or Crossing Specified Location, Driverless.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Manner of Collision
Over half of all crashes in Mercer County, 408 incidents (55%), were single-vehicle events not involving a collision with another vehicle in transport, such as striking a fixed object or animal. Among crashes involving multiple vehicles, angle collisions were the most common type, accounting for 148 crashes (19.9%). Rear-end collisions were also frequent, with 114 incidents representing 15.4% of the total.
Manner of Collision
"Other" combines 2 smaller categories (6 records): Rear-to-rear (4), Other/Unknown (2).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Vehicle Type
Passenger vehicles were involved in the vast majority of incidents, with passenger cars (427), sport utility vehicles (262), and pickup trucks (213) collectively accounting for 78.8% of all 1,144 vehicles in crashes. Commercial vehicles also represented a notable share, including 62 semi-tractors and 14 single-unit trucks.
Vehicle Type
"Other" combines 14 smaller categories (53 records): Cargo Van (7), Van (9-15 Seats) (6), Other Vehicle (6), Pedestrian/Skater (5), Farm Equipment (5), Bus (16+ Passengers) (5), All Terrain Vehicle (ATV/UTV) (4), Unknown or Hit/Skip (4), Heavy Equipment (3), Moped or Motorized Bicycle (2), Bicycle (2), Motorhome (2), Golf Cart (1), Animal with Rider or Animal Drawn Vehicle (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Person Type
Of the 1,495 individuals involved in crashes, the majority were drivers, accounting for 1,093 people (73.1%). Passengers (occupants) made up the next largest group with 397 individuals (26.6%). A small number of non-motorists were involved, including 5 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
An analysis of all 1,495 people involved in crashes shows that 1,260 individuals (84.3%) sustained no injuries. A total of 216 people were injured, representing 14.4% of all participants; this includes 24 serious injuries, 126 minor injuries, and 66 possible injuries. Six individuals sustained fatal 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
Among 1,489 motor vehicle occupants with known safety equipment status, the vast majority (1,248) were reported to have used a shoulder and lap belt. However, a notable 115 occupants, representing 7.7% of this group, were reported as using no safety equipment at the time of the crash. Additionally, 63 children were secured in various child restraint systems.
Occupant Safety Equipment
"Other" combines 2 smaller categories (11 records): Shoulder Belt Only Used (9), Helmet Used (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 742 crashes were almost evenly split between single-vehicle and two-vehicle incidents. Single-vehicle crashes accounted for 361 events (48.6%), while two-vehicle crashes accounted for 363 events (48.9%). Multi-vehicle incidents involving three or more vehicles were rare, comprising only 18 crashes (2.4%).
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: 742
- Total persons involved: 1,495
- Total vehicles involved: 1,144
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