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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.
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GET: https://thatcarhitme.com/api/crash-data/reports/data/ohio/statewide/2021-annual-report
Yearly Traffic Safety Analysis
166 CRASHES IN
OHIO, OH
2021
In 2021, Morgan County recorded 166 traffic crashes, resulting in 3 fatalities and 89 injuries. These incidents involved 227 vehicles and 270 individuals. A notable characteristic of these crashes is that a significant majority, nearly 70%, did not involve a collision between two vehicles in transport, indicating a high prevalence of single-vehicle events such as run-off-road crashes.
166
Total Crash Events
3
Persons Killed
89
Persons Injured
7.2%
Hit-and-Run Rate
Note: "Persons Killed" (3) counts individual fatalities across all crash events. "Fatal" in the severity table below (3) 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
12
Hit-and-Run Crashes — 2021
In 2021, 12 crashes in Morgan County were classified as hit-and-run incidents, accounting for 7.2% of all crashes during this period. This classification is based on the initial determination made by the responding law enforcement officer at the scene of the collision.
Vulnerable Road User Casualties
In 2021, all 3 fatalities and 89 injuries recorded in Morgan County crashes involved motor vehicle occupants. There were no pedestrians or cyclists killed or injured in traffic collisions during this period. The data indicates that motorists were the sole group to suffer fatal or non-fatal injuries in crashes.
3
Motorists Killed
89
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 frequency in Morgan County peaked on Fridays, which saw 31 incidents, making it the most common day for collisions. The afternoon commute hours were a key period for crashes, with the single busiest hour being from 1 p.m. to 2 p.m., when 15 crashes occurred. While a majority of crashes (99) happened during daylight, a substantial number also occurred in dark conditions, with 47 on unlighted roadways and 6 on lighted roadways.
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 166 crashes in Morgan County, 59% (98 crashes) resulted in no injuries, being classified as property-damage-only events. The remaining 41% of crashes involved some level of injury or a fatality. Three crashes were fatal, while an additional 17 resulted in serious injuries and 31 in minor injuries.
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 Morgan County occurred in ideal driving conditions. Approximately 79% of crashes (131) happened on dry roads, and 65% (107) occurred during clear weather. Similarly, nearly 60% of all incidents (99 crashes) took place in daylight. Crashes in adverse conditions included 15 incidents during rain, 26 on wet road surfaces, and 53 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
Among the 270 people involved in crashes, the 16-20, 26-34, and 35-44 age groups were the most represented, each with 42 individuals. An analysis of the 227 vehicles involved shows that Ford was the most frequent make with 41 vehicles, followed by Chevrolet with 35. Other common makes included Dodge and Toyota, each involved in 16 crashes, and Honda with 15.
Top Vehicle Makes (227 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
8 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (264 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 where crashes initiated shows that a significant portion occurred off the primary travel lanes. While 82 crashes (49%) began on the roadway, a combined 81 crashes (49%) were initiated on the roadside (61), shoulder (13), or outside the trafficway (7). This indicates that nearly half of all crash events were some form of run-off-road incident.
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 vehicle-involved incidents occurred at locations without traffic controls. Of the 227 vehicles in crashes, 214 (94%) were at a location with no control device. In contrast, only 9 vehicles were involved in crashes at stop signs and 2 at traffic signals.
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 common contributing factor cited for drivers was 'Drove off Road,' which was noted for 41 vehicles. 'Unsafe Speed' was the second-most frequent factor, attributed to 36 vehicles. 'Failure to Yield' and 'Left of Center' were also significant factors, each cited for 13 vehicles involved in crashes.
Driver Contributing Factor
Showing top 9 of 16 reported. 7 additional (14 total) not shown: Other Improper Action, Not Discernible, Improper Backing, Ran Stop Sign, Vision Obstruction, Improper Start From a Parked Position, Load shifting/Falling/Spilling.
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 11 of the 166 total incidents, representing 6.6% of all crashes. Of these, 6 involved a semi-tractor trailer, and 5 involved other types of commercial vehicles. These events represent a specific category of crash with potentially higher severity.
Animal-Involved Crashes
Animal-related collisions were a notable factor, accounting for 16 of the 166 total crashes (9.6%). The majority of these incidents, 12 crashes, specifically involved deer. An additional 4 crashes were attributed to collisions with other, unspecified animals.
Impairment (Alcohol / Drugs)
Impaired driving was a factor in 22 crashes, representing 13.3% of all collisions in Morgan County. Among these, alcohol was suspected in 16 incidents, drugs were suspected in 4, and a combination of alcohol and drugs was suspected in 2. These figures are based on officer suspicion at the scene.
Driver Condition
Among the 211 drivers involved in crashes, 27 were noted as being in a non-normal condition. The most cited condition was being under the influence of medications, drugs, or alcohol, with 16 drivers. Additionally, 6 drivers were reported as having fallen asleep or being fatigued, and 3 had 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
Among 211 drivers, 13 were identified as being distracted at the time of their crash. The most common specified issues were other distractions inside the vehicle (8 drivers) and outside the vehicle (3 drivers). One driver was manually operating an electronic communication device, and another was engaged in other activity with an electronic 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
Road geometry played a role in a significant number of crashes. A total of 80 crashes (48%) occurred on a grade, either straight or curved. Furthermore, 70 crashes (42%) happened while a vehicle was on a curve, highlighting the increased risk associated with non-straight and non-level roadways.
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 shows a concentration in a few key areas. The township of Windsor had the highest number of incidents with 26 crashes, representing 15.7% of the county total. Malta followed with 22 crashes (13.3%), while Mcconnelsville and Union township each recorded 14 crashes (8.4% each).
Top Cities
Showing top 9 of 16 reported. 7 additional (39 total) not shown: Bristol, York, Center, Manchester, Penn, Deerfield, Chesterhill.
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 just before a crash was driving straight ahead, which accounted for 97 of the 227 vehicles involved (42.7%). The second most frequent pre-crash action was negotiating a curve, with 67 vehicles (29.5%). Making a left turn was the third most common action, involving 23 vehicles.
Pre-Crash Driver Action
Showing top 9 of 10 reported. 1 additional (1 total) not shown: Entering Traffic Lane.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Manner of Collision
The predominant crash type was single-vehicle incidents, categorized as 'Not Collision Between Two Vehicles in Transport,' which accounted for 116 of the 166 total crashes (69.9%). The most common type of multi-vehicle collision was an angle crash, with 22 incidents, representing 13.3% of the total.
Manner of Collision
"Other" combines 1 smaller categories (2 records): Sideswipe; same direction (2).
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, accounting for 89 of the 227 vehicles. Pick-up trucks (48 vehicles) and Sport Utility Vehicles (38 vehicles) were the next most frequent. Motorcycles were also notably present, with 19 involved in crashes.
Vehicle Type
"Other" combines 7 smaller categories (14 records): Unknown or Hit/Skip (3), Single Unit Truck (3), All Terrain Vehicle (ATV/UTV) (3), Other Vehicle (2), Farm Equipment (1), Bus (16+ Passengers) (1), Heavy Equipment (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Person Type
Of the 270 individuals involved in crashes, the vast majority were either drivers or their occupants. Drivers constituted the largest group with 211 people (78.1%), while 59 people (21.9%) were vehicle occupants. No pedestrians or cyclists were involved in any of the reported crashes.
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 270 people involved in crashes, 3 suffered fatal injuries (1.1%). A total of 89 individuals sustained some level of injury, representing 33% of all persons involved. The majority of people, 173 individuals or 64.1%, 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
Safety equipment usage varied among the 270 crash participants. While 198 individuals were recorded as using a shoulder and lap belt, 30 people, or 11.1% of all participants, were documented as using no safety equipment at all. An additional 15 individuals used a helmet.
Occupant Safety Equipment
"Other" combines 2 smaller categories (3 records): Child Restraint System - Rear Facing (2), Lap Belt Only Used (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
A significant majority of crashes involved only a single vehicle. Of the 166 total crashes, 112 (67.5%) were single-vehicle incidents. Two-vehicle collisions were the next most common, with 50 incidents (30.1%), while only 4 crashes involved three or more 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 6, 2026
Data Coverage
- Reporting period: 2021-01-01 through 2021-12-31 (365 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 166
- Total persons involved: 270
- Total vehicles involved: 227
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