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
542 CRASHES IN
OHIO, OH
2021
In 2021, Adams County recorded 542 traffic crashes, resulting in 7 fatalities and 199 injuries. These incidents involved 967 people and 720 vehicles. A notable characteristic of these crashes is the high proportion of single-vehicle incidents; nearly three-quarters (72.3%) did not involve a collision with another vehicle in transport, often indicating a run-off-road event or a collision with a fixed object.
542
Total Crash Events
7
Persons Killed
199
Persons Injured
10.1%
Hit-and-Run Rate
Note: "Persons Killed" (7) 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
55
Hit-and-Run Crashes — 2021
In this period, 55 crashes were classified as hit-and-runs, accounting for 10.1% of all reported incidents. This classification is based on the responding officer's initial determination at the crash scene. These crashes represent incidents where a driver involved left the scene without providing required information.
Vulnerable Road User Casualties
Of the 7 total fatalities, 6 were motorists and 1 was a pedestrian. All 199 non-fatal injuries recorded were sustained by motorists. No cyclists were killed or injured in crashes during this period. The data highlights that motorists constitute the vast majority of those killed or injured in Adams County crashes, though a pedestrian fatality underscores the risk to vulnerable road users.
1
Pedestrians Killed
6
Motorists Killed
0
Pedestrians Injured
199
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 show a distinct peak on Thursdays, which saw 99 incidents, more than any other day of the week. The single busiest hour for crashes was 6 a.m., with 39 recorded events. Overall, more crashes occurred during daylight hours (318 incidents) than during all periods of darkness and low light combined (224 incidents).
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, 71.2% (386 incidents), resulted in no injuries. However, 27.7% of crashes led to at least one person being injured, with 24 crashes causing serious injuries and 86 causing minor injuries. There were 6 separate fatal crashes, which resulted in a total of 7 fatalities, indicating at least one crash involved multiple deaths.
Severity is per crash event (most severe injury). 6 fatal crash events resulted in 7 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 favorable conditions. Over 70% of incidents (381 crashes) happened on dry roads, and 57.4% (311 crashes) took place in clear weather. Similarly, 58.7% of all crashes (318 incidents) occurred in daylight. The most common adverse condition was a wet road surface, present in 130 crashes, followed by crashes in darkness on unlighted roadways, which accounted for 181 incidents.
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 967 people involved in crashes, the most represented age groups were 16-20 year-olds (145 people) and 35-44 year-olds (144 people). An analysis of the 720 vehicles involved shows that Chevrolet was the most frequent make, with 198 vehicles, followed by Ford with 138 and Dodge with 55. Passenger cars were the most common vehicle type involved (334 units), followed by pickups (167 units) and Sport Utility Vehicles (129 units).
Top Vehicle Makes (720 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
43 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (938 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)
Analysis of the initial point of impact shows that a significant portion of crashes were run-off-road events. While 276 crashes (50.9%) occurred on the roadway itself, 266 crashes (49.1%) had their first harmful event occur off the primary travel lanes, including 256 on the roadside and 9 on the shoulder.
Crash Location (First Harmful Event)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Traffic Control Device
The vast majority of vehicles involved in crashes were at locations with no traffic controls present, accounting for 627 of the 720 vehicles. Vehicles at locations with stop signs were involved in 50 crashes, while those at signalized intersections were involved in 38. This indicates that most incidents occurred on open road segments rather than at controlled junctions.
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 driver-related actions cited as contributing to crashes, unsafe speed was the most common, attributed to 144 drivers. The second most frequent factor was driving off the road, noted for 85 drivers. Other primary contributing factors included failure to yield (51 drivers), following too closely (45 drivers), and driving left of center (28 drivers).
Driver Contributing Factor
Showing top 9 of 17 reported. 8 additional (36 total) not shown: Improper Passing, Other Improper Action, Load shifting/Falling/Spilling, Ran Red Light, Ran Stop Sign, Improper Turn, Improper Lane Change, 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 involved a total of 28 commercial vehicles. Of these, 17 were semi-tractor-trailers and 11 were classified as other types of commercial vehicles. These incidents represent a specialized category of crashes often associated with higher severity and unique causal factors.
Vulnerable Road Users & Motorcycles
A total of 10 crashes involved either a motorcyclist or a vulnerable road user. These included 9 incidents with motorcyclists and one incident involving a pedestrian. No crashes involving bicyclists were recorded in this period.
Animal-Involved Crashes
Animal strikes were a significant factor, accounting for 101 total crashes, or 18.6% of all incidents in the county. The vast majority of these, 88 crashes, involved deer. An additional 13 crashes were attributed to collisions with other, unspecified types of animals.
Impairment (Alcohol / Drugs)
Impaired driving was a factor in 49 crashes, representing 9.0% of all incidents. Among these, alcohol was the sole factor for 25 drivers, drugs were the sole factor for 17 drivers, and a combination of alcohol and drugs was suspected for 7 drivers. These figures represent a minimum baseline, as impairment can be under-reported.
Driver Condition
Beyond normal driving conditions, a specific physical or mental condition was noted for 58 of the 711 drivers. The most common condition was being under the influence of medications, drugs, or alcohol, reported for 48 drivers. An additional 8 drivers were noted as having 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 38 of the 711 drivers involved in crashes. The most common cited distractions were non-specific, with 17 drivers distracted by something inside the vehicle and 8 by something outside. Manually operating an electronic device like a phone was a factor for 3 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
Road geometry played a role in a majority of crashes. Over half of all incidents (287 crashes, or 53.0%) occurred on a grade, whether straight or curved. Additionally, 200 crashes, representing 36.9% of the total, took place while a vehicle was on a curve.
Road Alignment
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Top Cities
Crash distribution across the county was led by the townships of Tiffin and Meigs, each with 60 incidents. They were followed by Liberty (55 crashes), Sprigg (53 crashes), and Franklin (45 crashes). Combined, these five areas accounted for 273 crashes, representing 50.4% of the county's total for the year.
Top Cities
Showing top 9 of 20 reported. 11 additional (137 total) not shown: Bratton, Oliver, Manchester, Jefferson, Green, Monroe, Brush Creek, Seaman, Peebles, Bentonville, Cherry Fork.
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 drivers were taking immediately before a crash was driving straight ahead, which accounted for 407 vehicles (56.5%). The second most frequent pre-crash action was negotiating a curve, involving 176 vehicles (24.4%). Making a left turn was the third most common action, noted for 44 vehicles.
Pre-Crash Driver Action
Showing top 9 of 13 reported. 4 additional (6 total) not shown: Entering Traffic Lane, Changing Lanes, Driverless, 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
The dominant crash type was single-vehicle incidents, classified as 'Not Collision Between Two Vehicles in Transport,' which accounted for 392 crashes, or 72.3% of the total. Among multi-vehicle crashes, angle collisions were the most frequent type, with 57 incidents, followed by rear-end collisions, with 38 incidents.
Manner of Collision
"Other" combines 1 smaller categories (1 records): Other/Unknown (1).
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 type of vehicle in crashes, with 334 units involved. Pick-up trucks (167 units) and Sport Utility Vehicles (129 units) were the next most frequent. In total, trucks of various sizes, including pickups, semi-tractors, and single-unit trucks, were involved in 190 of the 720 vehicle counts.
Vehicle Type
"Other" combines 9 smaller categories (24 records): Single Unit Truck (6), Van (9-15 Seats) (5), Cargo Van (4), Other Vehicle (2), Heavy Equipment (2), All Terrain Vehicle (ATV/UTV) (2), Pedestrian/Skater (1), Bus (16+ Passengers) (1), Unknown or Hit/Skip (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Person Type
Of the 967 individuals involved in crashes, the majority were drivers (711 people, or 73.5%). Passengers, classified as occupants, made up the next largest group, with 254 individuals (26.3%). A small fraction of those involved were pedestrians, accounting for 2 people.
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 951 people whose injury status was recorded, 7 individuals (0.7%) sustained fatal injuries. An additional 199 people (20.9%) suffered non-fatal injuries, including 30 with serious injuries, 112 with minor injuries, and 57 with possible injuries. The vast majority, 745 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
Shoulder and lap belts were reportedly used by 789 vehicle occupants. However, 82 individuals, representing 8.5% of those with known safety equipment usage, were recorded as using no restraints at all. An additional 36 occupants were secured in various child restraint systems.
Occupant Safety Equipment
"Other" combines 2 smaller categories (7 records): Shoulder Belt Only Used (4), Helmet Used (3).
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
Single-vehicle crashes were the most common scenario, accounting for 370 of the 542 total incidents (68.3%). Crashes involving two vehicles were the next most frequent, with 166 occurrences. A small number of incidents, 6 crashes, involved three 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 7, 2026
Data Coverage
- Reporting period: 2021-01-01 through 2021-12-31 (365 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 542
- Total persons involved: 967
- Total vehicles involved: 720
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 7, 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 7, 2026 · All rights reserved