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
385 CRASHES IN
OHIO, OH
2021
In 2021, Meigs County recorded 385 traffic crashes, resulting in 5 fatalities and 159 injuries. A notable characteristic of these incidents is the prevalence of single-vehicle crashes, which accounted for 258, or 67%, of all reported collisions. The data indicates that while the majority of crashes did not result in injury, a total of 122 crashes involved at least one reported injury or fatality.
385
Total Crash Events
5
Persons Killed
159
Persons Injured
9.6%
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
37
Hit-and-Run Crashes — 2021
There were 37 hit-and-run crashes reported in 2021, constituting 9.6% of all incidents. This designation is based on the initial determination of the responding law enforcement officer at the crash scene. These incidents involved vehicles where at least one driver left the scene without providing required information.
Vulnerable Road User Casualties
All 5 fatalities and 159 injuries recorded in 2021 involved motorists, including vehicle drivers and occupants. The data reported no fatalities or injuries among pedestrians or cyclists during this period. Of the 164 total persons killed or injured, 5 were fatalities, 25 sustained serious injuries, and 134 had minor or possible injuries.
5
Motorists Killed
159
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 peaked on Saturdays, with 67 incidents recorded, and the most common time for crashes was the 3 p.m. hour, which saw 29 events. A majority of collisions, 227 out of 385, occurred during daylight hours. However, a significant number of crashes, 123, also occurred on unlighted roadways after dark.
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 385 total crashes, 68.3% (263 incidents) resulted in no injuries, involving only property damage. The remaining crashes involved some level of injury, including 20 with serious injuries, 73 with minor injuries, and 24 with possible injuries. There were 5 fatal crashes, which accounted for 1.3% of all collisions and resulted in 5 total 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
The majority of crashes occurred in favorable conditions, with 77.4% (298 crashes) on dry road surfaces and 62.1% (239 crashes) in clear weather. Similarly, 59.0% of incidents (227 crashes) took place in daylight. Adverse conditions were also present in a subset of crashes, with 65 incidents on wet roads, 37 during rain, and 123 on dark, unlighted roadways.
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 680 people involved in crashes, the 16-20 age group was the most represented with 96 individuals, followed by the 35-44 age group with 92 individuals. A total of 521 vehicles were involved in these incidents. The most frequent vehicle makes recorded were Ford (94 vehicles), Chevrolet (93 vehicles), and Dodge (45 vehicles).
Top Vehicle Makes (521 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
30 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (656 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 for 204 crashes, or 53% of the total, occurred on the primary roadway. A significant portion of incidents were run-off-road events, with 133 crashes (34.5%) having their first harmful event on the roadside, shoulder, or median. An additional 42 crashes (10.9%) occurred entirely outside the designated trafficway.
Crash Location (First Harmful Event)
"Other" combines 2 smaller categories (2 records): On Gore (1), Off ramp (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 the 520 vehicle records with traffic control data shows that a vast majority of incidents occurred at locations with no traffic control devices, accounting for 457 instances. Crashes at locations with stop signs were noted in 34 instances, while those at signalized intersections accounted for 23 instances. Only one crash was recorded in a roundabout.
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 contributing to crashes, unsafe speed was the most cited factor, recorded for 94 vehicles. The second most common factor was driving off the road, noted in 74 instances. Following too closely was the third-leading factor, contributing to 53 vehicle collisions.
Driver Contributing Factor
Showing top 9 of 15 reported. 6 additional (25 total) not shown: Improper Passing, Swerving to Avoid, Ran Stop Sign, Load shifting/Falling/Spilling, Operating Defective Equipment, Improper Lane Change.
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 23 of the 385 total incidents, representing 6.0% of all crashes. Of these, 9 involved a semi-tractor trailer, and 14 involved other types of commercial vehicles, such as single-unit trucks or cargo vans. These incidents involved a total of 23 commercial vehicles.
Animal-Involved Crashes
Crashes involving animals were a notable factor, accounting for 63 of the 385 total incidents (16.4%). The vast majority of these, 61 crashes, were collisions with deer. An additional 2 crashes involved other, unspecified types of animals.
Impairment (Alcohol / Drugs)
Impaired driving was a factor in 32 crashes, representing 8.3% of the total for the year. Among these, alcohol was a factor in 16 crashes, drugs were a factor in 13 crashes, and a combination of both alcohol and drugs was noted in 3 crashes. These figures represent a minimum baseline, as impairment may be under-reported.
Driver Condition
Of the 502 drivers involved in crashes, 48 were recorded as being in a non-normal physical or mental state. The most common condition was driving under the influence of alcohol, drugs, or medication, which was noted for 32 drivers. An additional 10 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
Among the 502 drivers involved in crashes, a specific distraction was identified for 26 individuals. The most common cited issues were other distractions inside the vehicle (10 drivers) and other distractions outside the vehicle (6 drivers). Manually operating an electronic communication device, such as texting or dialing, was recorded for 2 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
Roadway geometry played a role in a significant share of crashes. Collisions on curves occurred in 120 instances, making up 31.2% of all crashes. Additionally, crashes on grades (uphill or downhill sections) were recorded in 119 instances, accounting for 30.9% of the total.
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 several key areas. The township of Salisbury recorded the highest number of incidents with 78 crashes, followed by Pomeroy with 58 and Chester with 42. Together, these three areas accounted for 178 crashes, representing 46.2% of the county's total.
Top Cities
Showing top 9 of 16 reported. 7 additional (65 total) not shown: Lebanon, Orange, Letart, Salem, Middleport, Tuppers Plains, Syracuse.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Pre-Crash Driver Action
An analysis of the 521 vehicles involved shows that the most common pre-crash action was driving straight ahead, which was the case for 280 vehicles (53.7%). The second most frequent action was negotiating a curve, reported for 110 vehicles (21.1%). Slowing or stopping in traffic was the third most common action, noted for 41 vehicles.
Pre-Crash Driver Action
Showing top 9 of 14 reported. 5 additional (9 total) not shown: Changing Lanes, Entering Traffic Lane, Making U-Turn, Driverless, Leaving 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 dominant crash type was single-vehicle incidents, categorized as "Not Collision Between Two Vehicles in Transport," which accounted for 258 crashes or 67.0% of the total. Among multi-vehicle crashes, rear-end collisions were the most frequent, with 50 incidents representing 13.0% of all crashes. Angle collisions were the next most common type, with 30 occurrences.
Manner of Collision
"Other" combines 1 smaller categories (7 records): Other/Unknown (7).
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 201 of the 521 vehicles (38.6%). Sport Utility Vehicles (SUVs) were the second most common with 152 vehicles (29.2%), followed by pickup trucks with 101 vehicles (19.4%). Commercial vehicles, including semi-tractors, single-unit trucks, and cargo vans, were involved in 28 instances.
Vehicle Type
"Other" combines 6 smaller categories (18 records): Single Unit Truck (8), Unknown or Hit/Skip (3), All Terrain Vehicle (ATV/UTV) (3), Farm Equipment (2), Bus (16+ Passengers) (1), Other Vehicle (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 680 people were involved in crashes, with drivers being the most common type of person recorded. Of these individuals, 502 (73.8%) were drivers and 178 (26.2%) were vehicle occupants or passengers. The data for this period did not record any involved pedestrians or cyclists.
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 680 people involved in crashes, 164 sustained some level of injury or were killed, representing 24.1% of all individuals. This included 5 fatalities, 25 serious injuries, 99 minor injuries, and 35 possible injuries. The majority of people involved, 508 individuals, 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
Among the 680 occupants involved in crashes, 498 were reported to have used both a shoulder and lap belt. However, 61 individuals, representing 9.0% of all persons, were recorded as not using any form of safety equipment. An additional 7 individuals used a helmet, and 18 were secured in child restraint systems or booster seats.
Occupant Safety Equipment
"Other" combines 2 smaller categories (10 records): Child Restraint System - Rear Facing (5), Child Restraint System - Forward Facing (5).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Person-level records linked to crash events
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: 385
- Total persons involved: 680
- Total vehicles involved: 521
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