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
978 CRASHES IN
OHIO, OH
2021
In 2021, Jefferson County recorded 978 total traffic crashes, resulting in 5 fatalities and 337 injuries. A majority of these incidents, 51.4%, were single-vehicle crashes not involving a collision with another vehicle in transport. The peak time for crashes was on Mondays during the 4 p.m. hour.
978
Total Crash Events
5
Persons Killed
337
Persons Injured
10.3%
Hit-and-Run Rate
Note: "Persons Killed" (5) counts individual fatalities across all crash events. "Fatal" in the severity table below (4) 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
101
Hit-and-Run Crashes — 2021
Based on initial officer determinations, 101 crashes in Jefferson County were classified as hit-and-run incidents. This represents 10.3% of all crashes recorded during the period.
Vulnerable Road User Casualties
In 2021, all 5 fatalities and 332 of the 337 total injuries involved motorists. There were no pedestrians or cyclists killed in crashes. However, 5 pedestrians sustained injuries in collisions during this period.
0
Pedestrians Killed
5
Motorists Killed
5
Pedestrians Injured
332
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
Crashes occurred most frequently on Mondays, with 169 incidents reported, while the single busiest hour for crashes was the 4 p.m. hour with 72 events. Overall, a majority of collisions, 575 crashes or 58.8%, happened during daylight hours.
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 978 total crashes, 74.4% (728 incidents) resulted in no injuries, with the remainder involving a possible, minor, or serious injury. There were 4 fatal crashes recorded for the year. These 4 incidents resulted in a total of 5 fatalities.
Severity is per crash event (most severe injury). 4 fatal crash events resulted in 5 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
The majority of crashes occurred in favorable conditions, with 61.9% happening in clear weather and 75% on dry road surfaces. Daylight conditions were present for 58.8% of all incidents. Crashes in adverse weather included 100 in rain and 37 in snow.
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 all persons involved in crashes, the 26-34 age group was the most represented, with 330 individuals. The vehicle makes most frequently involved in collisions were Ford with 238 vehicles, Chevrolet with 235, and Honda with 140.
Top Vehicle Makes (1,519 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
70 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (1,883 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 first harmful event in most crashes, 641 incidents, occurred on the roadway itself. However, a significant portion, 314 crashes (32.1%), were run-off-road events, with the first impact happening on the roadside, shoulder, median, or outside the trafficway.
Crash Location (First Harmful Event)
"Other" combines 4 smaller categories (12 records): On ramp (5), Other/Unknown (3), On Gore (3), Shared-use paths or trails (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 controls at crash locations shows that a majority of involved vehicles (1,129 of 1,519) were in areas with no traffic control device present. Vehicles involved in crashes at signalized intersections accounted for 242 units, while 103 were at locations with 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
The most frequently cited contributing factors for drivers involved in crashes were driving off the road (214 units), following too closely (128 units), and failure to yield (113 units). Unsafe speed was also a significant factor, attributed to 109 vehicle operators.
Driver Contributing Factor
Showing top 9 of 22 reported. 13 additional (108 total) not shown: Improper Backing, Operating Defective Equipment, Ran Stop Sign, Improper Passing, Swerving to Avoid, Improper Turn, Load shifting/Falling/Spilling, Stopped or Parked Illegally, Improper Start From a Parked Position, Wrong Way, Vision Obstruction, Opening Door into Roadway, Improper Crossing.
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 97 commercial trucks were involved in crashes during this period. Of these, 66 were identified as semi-tractor trailers, while the remaining 31 were classified as other types of commercial vehicles.
Vulnerable Road Users & Motorcycles
Crashes involved 29 individuals classified as vulnerable road users or motorcyclists. This included 23 motorcyclists, 5 pedestrians, and 1 bicyclist. Combined, there were 6 crashes involving pedestrians or bicyclists.
Animal-Involved Crashes
There were 74 crashes involving animals, accounting for approximately 7.6% of all incidents in the county. The vast majority of these, 69 crashes, were collisions with deer, while an additional 5 crashes involved other types of animals.
Impairment (Alcohol / Drugs)
Impairment was a factor in 114 crashes, representing 11.7% of the total for the year. Among these, alcohol was cited in 65 incidents, drugs in 37, and a combination of both in 12. These figures represent a minimum baseline, as impairment can be under-reported.
Driver Condition
Beyond 'Apparently Normal,' several adverse driver conditions were noted for the 1,438 drivers involved in crashes. The most common was being under the influence of medications, drugs, or alcohol, which was recorded for 103 drivers. An additional 18 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
Among 1,438 drivers, 59 were identified as being distracted at the time of their crash. The most cited issues were other distractions inside the vehicle (25 drivers) and outside the vehicle (17 drivers). Electronic devices were a factor for 17 drivers, including 6 who were manually operating a 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 substantial number of crashes. Nearly half of all incidents (48.3%) occurred on a grade, while 32.6% of crashes happened on a curve. Crashes on sections that were both curved and graded accounted for 214 of the total 978 incidents.
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. The city of Steubenville accounted for the largest share with 322 crashes (33.0% of the total). Island Creek followed with 173 crashes (17.7%), and Wintersville recorded 84 crashes (8.6%).
Top Cities
Showing top 9 of 29 reported. 20 additional (164 total) not shown: Cross Creek, Smithfield, Mingo Junction, Mount Pleasant, Richmond, Saline, Brush Creek, Adena, Dillonvale, Rayland, Tiltonsville, Ross, Amsterdam, Yorkville, New Alexandria, Stratton, Bloomingdale, Bergholz, Brilliant, Toronto.
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 pre-crash action for vehicles was driving straight ahead, which accounted for 739 of 1,519 vehicles involved. The next most frequent actions were negotiating a curve (224 vehicles) and slowing or stopping in traffic (140 vehicles).
Pre-Crash Driver Action
Showing top 9 of 16 reported. 7 additional (45 total) not shown: Other/Unknown, Overtaking/Passing, Leaving Traffic Lane, Driverless, Walking; Running; Jogging; Playing, Making U-Turn, Entering or Crossing Specified Location.
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 pattern was single-vehicle incidents, classified as 'Not Collision Between Two Vehicles in Transport,' which comprised 51.4% of all crashes (503 incidents). Among multi-vehicle collisions, angle crashes were the most frequent type, accounting for 184 incidents or 18.8% of the total.
Manner of Collision
"Other" combines 1 smaller categories (11 records): Other/Unknown (11).
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 663 of the 1,519 total vehicles (43.7%). Sport Utility Vehicles (389) and Pick up trucks (234) were the next most frequent. Commercial vehicles, including semi-tractors and single-unit trucks, accounted for 101 of the vehicles involved.
Vehicle Type
"Other" combines 11 smaller categories (67 records): Cargo Van (18), Unknown or Hit/Skip (17), Other Vehicle (9), Bus (16+ Passengers) (8), Pedestrian/Skater (5), Van (9-15 Seats) (2), Farm Equipment (2), Heavy Equipment (2), All Terrain Vehicle (ATV/UTV) (2), Bicycle (1), Motorhome (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Person Type
Of the 1,933 people involved in crashes, the vast majority were drivers (1,438 individuals, or 74.4%). Vehicle occupants, or passengers, accounted for another 490 people (25.3%). A small fraction, 5 individuals, were 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
Among the 1,933 individuals involved in collisions, 1,547 (80.0%) sustained no injuries. A total of 337 people were injured, representing 17.4% of all persons involved. Fatal injuries were recorded for 5 individuals, accounting for 0.26% of the total.
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 was documented for occupants involved in crashes. While 1,547 individuals were recorded as using a shoulder and lap belt, 122 people were recorded as using no restraint system at all. This group accounts for 6.3% of all persons involved in crashes.
Occupant Safety Equipment
"Other" combines 3 smaller categories (28 records): Lap Belt Only Used (15), Helmet Used (12), Protective Pads Used (Elbow; knees; etc.) (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
The crashes were almost evenly split between single-vehicle and two-vehicle incidents. Single-vehicle crashes accounted for 473 events (48.4% of the total), while two-vehicle collisions numbered 474. An additional 31 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 5, 2026
Data Coverage
- Reporting period: 2021-01-01 through 2021-12-31 (365 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 978
- Total persons involved: 1,933
- Total vehicles involved: 1,519
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