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
3,367 CRASHES IN
OHIO, OH
2021
In 2021, Portage County recorded 3,367 traffic crashes, resulting in 17 fatalities and 1,226 injuries. These incidents involved 5,720 vehicles and 7,472 individuals. A notable finding from the data is that nearly three-quarters (74%) of all crashes resulted in no injuries, while single-vehicle incidents accounted for 38.3% of all collisions.
3,367
Total Crash Events
17
Persons Killed
1,226
Persons Injured
8.9%
Hit-and-Run Rate
Note: "Persons Killed" (17) counts individual fatalities across all crash events. "Fatal" in the severity table below (16) 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
299
Hit-and-Run Crashes — 2021
Of the total crashes in 2021, 299 were classified as hit-and-run incidents, representing 8.9% of all collisions. This classification is based on the responding officer's initial determination at the scene. The data indicates that nearly one in eleven crashes involved a driver leaving the scene.
Vulnerable Road User Casualties
Motorists comprised the vast majority of traffic casualties, with 14 individuals killed and 1,211 injured. In incidents involving vulnerable road users, 3 pedestrians were killed and 15 were injured. There were no fatalities or injuries reported for cyclists in 2021.
3
Pedestrians Killed
14
Motorists Killed
15
Pedestrians Injured
1,211
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 clear weekly and daily rhythm. Fridays saw the most crashes with 542 incidents, closely followed by Thursdays with 541. The afternoon commute is the most hazardous time, with the single hour from 3:00 PM to 3:59 PM accounting for 284 crashes. Overall, 65.5% of crashes occurred 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
The majority of crashes were non-injury events, with 2,493 incidents (74%) classified as property-damage-only. Injury crashes accounted for 25.5% of the total, comprising 63 serious injury, 505 minor injury, and 290 possible injury collisions. There were 16 distinct fatal crashes, which resulted in a total of 17 fatalities, indicating one crash involved multiple deaths.
Severity is per crash event (most severe injury). 16 fatal crash events resulted in 17 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 what appeared to be ideal driving conditions. Data shows that 65.5% of incidents happened in daylight, 76% on dry road surfaces, and 51.9% in clear weather. Conversely, 304 crashes occurred during rain and 201 took place in snow, indicating that adverse weather contributed to a smaller but notable portion of 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
Analysis of the 7,472 people involved in crashes shows the 26-34 age group was most represented, with 1,091 individuals, followed closely by the 16-20 age group with 1,075 individuals. Among the 5,720 vehicles involved, Chevrolet was the most frequent make with 937 vehicles, followed by Ford with 861 and Toyota with 448. These figures represent the makes involved, not a determination of fault or market share.
Top Vehicle Makes (5,720 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
249 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (7,287 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 for most crashes occurred directly on the roadway, accounting for 2,660 incidents. However, a notable number of crashes originated off the primary travel lanes. Run-off-road events, including those on the roadside (474), shoulder (103), and median (33), collectively accounted for 610 crashes, or 18.1% of the total.
Crash Location (First Harmful Event)
"Other" combines 5 smaller categories (20 records): Toll Booth (11), Driveway/Alley access (5), Other/Unknown (2), On Gore (1), Railway grade crossing (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Traffic Control Device
Among the 5,720 vehicles involved in crashes, the largest group (3,845 vehicles) was at locations with no traffic control device present. Crashes at signalized intersections involved 1,338 vehicles, while those at locations with stop signs involved 416 vehicles. A small number of vehicles were involved in crashes at locations with roundabouts (16) or yield signs (37).
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
Analysis of driver actions shows that 'Following too Close / ACDA' was the most cited contributing factor, attributed to 927 drivers. 'Failure to Yield' was the second-most common factor, noted for 522 drivers, followed by 'Drove off Road' for 515 drivers. These three factors represent the most common improper actions identified in crash reports.
Driver Contributing Factor
Showing top 9 of 22 reported. 13 additional (364 total) not shown: Improper Turn, Ran Red Light, Improper Passing, Swerving to Avoid, Ran Stop Sign, Operating Defective Equipment, Improper Start From a Parked Position, Load shifting/Falling/Spilling, Improper Crossing, Stopped or Parked Illegally, Wrong Way, Vision Obstruction, Opening Door into Roadway.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Commercial / Truck Involvement
In 2021, a total of 305 commercial trucks were involved in crashes in Portage County. Of these, 189 were classified as semi-tractor-trailers, while the remaining 116 were categorized as other types of commercial vehicles. These incidents represent a key area of focus due to the potential for high severity.
Vulnerable Road Users & Motorcycles
Crashes involving vulnerable road users and motorcyclists totaled 87 incidents. Motorcyclists were the most frequently involved group, with 58 crashes. There were 18 crashes involving pedestrians and 11 involving bicyclists, for a combined total of 29 incidents impacting vulnerable road users.
Animal-Involved Crashes
A total of 350 crashes were attributed to collisions with animals. The vast majority of these incidents, 331 crashes, involved deer. Collisions with other, unspecified animals accounted for the remaining 19 incidents.
Impairment (Alcohol / Drugs)
Impairment was a factor in 190 crashes, representing 5.6% of all incidents in 2021. Alcohol was the most common factor, present in 126 crashes. Drugs were cited in 38 crashes, and a combination of alcohol and drugs was noted in 26 crashes.
Driver Condition
While the majority of the 5,594 drivers were listed as 'Apparently Normal,' a total of 267 drivers were noted to have an adverse condition. The most common condition was 'Under the Influence of Medications / Drugs / Alcohol,' recorded for 168 drivers. Other noted conditions included fatigue or falling asleep (59 drivers), physical impairment (19 drivers), and illness (13 drivers).
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 5,594 drivers involved in crashes, 256 were documented as being distracted. The most common issues were 'Other distraction inside the vehicle' (107 drivers) and 'Other distraction outside the vehicle' (62 drivers). Electronic device use was explicitly cited for 65 drivers, split between 'Other activity with an electronic device' (36), 'Manually operating' a device (29), and talking on a device (9).
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 majority of crashes occurred on straight road segments, with 2,333 on straight, level roads and 787 on straight grades. Roadway geometry with elevated risk, such as curves and grades, was also a factor. Crashes on curves accounted for 245 incidents (7.3% of total), while crashes on grades (both straight and curved) accounted for 912 incidents (27.1% of total).
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 was concentrated in a few key municipalities. The city of Ravenna had the highest number of crashes with 514, followed by Kent with 472 and Streetsboro with 444. Together, these three cities accounted for 1,430 crashes, representing 42.5% of the county's total for the year.
Top Cities
Showing top 9 of 24 reported. 15 additional (834 total) not shown: Suffield, Freedom, Mantua, Randolph, Windham, Palmyra, Atwater, Deerfield, Nelson, Hiram, Charlestown, Paris, Garrettsville, Mogadore, Tallmadge.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Pre-Crash Driver Action
Examining the actions of the 5,720 vehicles prior to collision, the most common maneuver was 'Straight Ahead,' accounting for 3,198 vehicles (55.9%). The second most frequent pre-crash action was 'Slowing or Stopped In Traffic,' recorded for 1,075 vehicles (18.8%). Making a left turn was the third most common action, involving 470 vehicles.
Pre-Crash Driver Action
Showing top 9 of 19 reported. 10 additional (193 total) not shown: Overtaking/Passing, Other/Unknown, Leaving Traffic Lane, Driverless, Making U-Turn, Walking; Running; Jogging; Playing, Entering or Crossing Specified Location, Other Non-Motorist, Standing, Working.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Manner of Collision
The most frequent crash type was a single-vehicle incident, classified as 'Not Collision Between Two Vehicles in Transport,' which accounted for 1,291 crashes (38.3%). Among multi-vehicle crashes, rear-end collisions were the most common type, with 903 incidents representing 26.8% of all crashes. Angle collisions were the next most frequent, with 695 incidents (20.6%).
Manner of Collision
"Other" combines 2 smaller categories (47 records): Other/Unknown (44), Rear-to-rear (3).
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 2,698 of the 5,720 vehicles (47.2%). Sport Utility Vehicles were the second most common, with 1,481 units (25.9%), followed by pickup trucks with 746 units (13.0%). Commercial vehicles, including semi-tractors, single-unit trucks, and buses, were involved in 319 instances.
Vehicle Type
"Other" combines 13 smaller categories (216 records): Motorcycle 2 Wheeled (60), Unknown or Hit/Skip (54), Bus (16+ Passengers) (20), Pedestrian/Skater (17), Other Vehicle (16), Van (9-15 Seats) (16), Bicycle (11), Heavy Equipment (6), Farm Equipment (5), Motorhome (5), All Terrain Vehicle (ATV/UTV) (3), Wheelchair (Any type) (2), Limo (Livery 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 7,472 individuals involved in crashes, the vast majority were drivers, accounting for 5,594 people (74.9%). Vehicle occupants (passengers) were the next largest group, with 1,858 individuals (24.9%). A small but significant number of involved persons were pedestrians, accounting for 20 individuals.
Person Type
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Person Injury Severity
Across all 7,472 people involved in crashes, 1,226 individuals sustained some level of injury, representing 16.4% of all participants. A total of 17 individuals suffered fatal injuries (0.23% of all persons). The largest group, 6,104 people (81.7%), 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 7,451 participants for whom safety equipment use was recorded, the majority (6,468) used a shoulder and lap belt. However, 358 individuals, or 4.8% of the total, were documented as using no safety equipment at all. An additional 94 people were noted as using only a shoulder or lap belt, rather than both.
Occupant Safety Equipment
"Other" combines 3 smaller categories (75 records): Lap Belt Only Used (40), Helmet Used (34), Lighting - Pedestrian / Bicycle Only (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 data shows that two-vehicle collisions were the most common type of incident, accounting for 2,050 crashes (60.9%). Single-vehicle crashes were the next most frequent, with 1,174 incidents, or 34.9% of the total. Multi-vehicle crashes involving three or more units were less common, accounting for 143 incidents (4.2%).
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: 3,367
- Total persons involved: 7,472
- Total vehicles involved: 5,720
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