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
5,604 CRASHES IN
OHIO, OH
2021
In 2021, Mahoning County recorded 5,604 traffic crashes, resulting in 21 fatalities and 2,127 injuries. A significant portion of these incidents were angle collisions (25.9%) and rear-end collisions (25.6%). These two crash types accounted for more than half of all collisions involving multiple vehicles.
5,604
Total Crash Events
21
Persons Killed
2,127
Persons Injured
14.3%
Hit-and-Run Rate
Note: "Persons Killed" (21) counts individual fatalities across all crash events. "Fatal" in the severity table below (21) 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
804
Hit-and-Run Crashes — 2021
Based on initial officer determinations, 804 crashes in Mahoning County during 2021 were classified as hit-and-run incidents. This represents 14.3% of all reported crashes for the year. This classification is based on the circumstances at the scene as determined by the responding law enforcement officer.
Vulnerable Road User Casualties
In 2021, motorists comprised the largest group of casualties, with 18 fatalities and 2,104 injuries. Vulnerable road users also suffered significant harm; 3 pedestrians were killed and 23 were injured in crashes. The data reported no cyclist fatalities or injuries during this period.
3
Pedestrians Killed
18
Motorists Killed
23
Pedestrians Injured
2,104
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 in Mahoning County show a clear weekly and daily rhythm. Fridays were the most frequent day for crashes, with 867 incidents recorded. The single busiest hour was between 4 p.m. and 5 p.m., which saw 495 crashes. Overall, crashes were more prevalent during daylight hours, which accounted for 3,670 of the total 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 in Mahoning County, 74.2% (4,158 incidents), resulted in no injuries. Injury-sustaining crashes, including serious, minor, and possible injuries, accounted for 25.4% of the total. There were 21 fatal crashes, representing 0.4% of all incidents, which resulted in a total of 21 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 vast majority of crashes occurred in seemingly ideal conditions. Crashes in clear weather accounted for 3,189 incidents, while 4,363 crashes happened on dry road surfaces. Furthermore, 3,670 crashes, representing 65.5% of the total, took place during daylight hours. Adverse weather conditions like rain and snow were noted in 464 and 212 crashes, respectively.
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 persons involved in crashes shows the 26-34 age group was the most represented, with 2,021 individuals. Regarding vehicle makes, Chevrolet was the most frequent, with 2,147 vehicles involved in crashes. Ford followed with 1,350 vehicles, and Dodge and Toyota were also prominent with 548 and 538 vehicles respectively.
Top Vehicle Makes (9,969 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
776 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (12,632 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 majority of crashes, 4,612 incidents, had their first harmful event occur on the roadway itself. However, a notable number of crashes involved vehicles leaving the travel lanes. A combined 795 crashes originated on the roadside, shoulder, median, or outside the trafficway, indicating a significant run-off-road crash pattern.
Crash Location (First Harmful Event)
"Other" combines 8 smaller categories (81 records): Toll Booth (29), On ramp (21), Other/Unknown (18), Shared-use paths or trails (5), On Gore (3), Crossover (2), Railway grade crossing (2), Bike Lane (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 indicates that the largest number of vehicles, 6,562, were involved in crashes where no traffic control device was present. Crashes at locations with traffic signals involved 2,333 vehicles. An additional 893 vehicles were involved in crashes at intersections controlled by 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
Among contributing factors cited for drivers, 'Following too Close / ACDA' was the most common, attributed to 1,287 vehicles. 'Failure to Yield' was the second-most frequent factor, noted for 996 vehicles. Other significant factors included driving off the road (600 vehicles) and improper lane changes (276 vehicles).
Driver Contributing Factor
Showing top 9 of 21 reported. 12 additional (847 total) not shown: Ran Stop Sign, Improper Start From a Parked Position, Left of Center, Swerving to Avoid, Improper Turn, Improper Passing, Operating Defective Equipment, Load shifting/Falling/Spilling, Improper Crossing, Stopped or Parked Illegally, Wrong Way, Vision Obstruction.
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 were a notable subset of incidents in Mahoning County. A total of 426 crashes involved a commercial vehicle, accounting for approximately 7.6% of all crashes. Of these, 285 involved a semi-tractor trailer, while 141 involved other types of commercial vehicles.
Vulnerable Road Users & Motorcycles
The data identifies several types of vulnerable road users involved in crashes. There were 79 crashes involving motorcyclists. Additionally, there were 36 crashes involving pedestrians (26) and bicyclists (10), highlighting the risks faced by these unprotected users on the road.
Animal-Involved Crashes
Collisions with animals accounted for 333 crashes, representing nearly 6% of the total incidents in Mahoning County. The vast majority of these, 309 crashes, specifically involved deer. An additional 24 crashes were attributed to collisions with other, unspecified animals.
Impairment (Alcohol / Drugs)
Impairment was a documented factor for 205 drivers involved in crashes, which corresponds to 3.7% of all crashes. Among these, alcohol was the sole impairing substance in 153 instances. An additional 52 cases involved drugs, either alone (26) or in combination with alcohol (26).
Driver Condition
Beyond impairment from alcohol or drugs, other driver conditions were noted in the crash data. A total of 175 drivers were recorded as being under the influence of medications, drugs, or alcohol. Additionally, 54 drivers were noted as having fallen asleep or being fatigued, while 38 were documented as being in an emotional state.
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
Driver distraction was identified as a factor for a portion of drivers. The most cited issues were general distractions inside the vehicle (169 drivers) and outside the vehicle (118 drivers). Specific electronic device use was also noted, with 34 drivers manually operating a device and 19 talking on a hand-held 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
The majority of crashes (4,085) occurred on straight, level sections of roadway. However, road geometry played a role in a subset of incidents. Crashes on curves accounted for 360 incidents, while crashes on graded (sloped) sections of road accounted for 1,310 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 distribution of crashes across Mahoning County's municipalities shows significant concentration in a few areas. The city of Youngstown accounted for the largest number of crashes with 1,708, representing 30.5% of the county total. Boardman followed with 1,253 crashes (22.4%), and Austintown recorded 764 crashes (13.6%).
Top Cities
Showing top 9 of 25 reported. 16 additional (564 total) not shown: Smith, Green, Milton, Goshen, Campbell, Ellsworth, Berlin, Sebring, Coitsville, Columbiana, Lowellville, New Middletown, Beloit, Craig Beach, Lake Milton, Mahoning.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Pre-Crash Driver Action
Prior to impact, the most common action for vehicles involved was proceeding straight ahead, which was the case for 5,524 vehicles (55.4% of all units). A significant number of vehicles, 1,680 (16.9%), were either slowing or stopped in traffic at the time of the crash. Making a left turn was the pre-crash action for 805 vehicles.
Pre-Crash Driver Action
Showing top 9 of 18 reported. 9 additional (387 total) not shown: Negotiating a Curve, Overtaking/Passing, Leaving Traffic Lane, Walking; Running; Jogging; Playing, Driverless, Making U-Turn, Other Non-Motorist, Standing, 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 most frequent crash type was single-vehicle incidents, classified as 'Not Collision Between Two Vehicles in Transport,' which accounted for 1,731 crashes (30.9%). Among multi-vehicle crashes, angle collisions were the most common, with 1,452 incidents (25.9%). Rear-end collisions were nearly as frequent, with 1,436 incidents representing 25.6% of the total.
Manner of Collision
"Other" combines 2 smaller categories (92 records): Sideswipe; opposite direction (72), Rear-to-rear (20).
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 4,878 of the 9,969 vehicles recorded. Sport Utility Vehicles (SUVs) were the second most common with 2,754 units, followed by pickup trucks with 1,040 units. Commercial vehicles, including semi-tractors and single-unit trucks, were involved in 447 instances.
Vehicle Type
"Other" combines 17 smaller categories (400 records): Single Unit Truck (126), Motorcycle 2 Wheeled (79), Other Vehicle (40), Bus (16+ Passengers) (36), Van (9-15 Seats) (35), Pedestrian/Skater (26), Bicycle (11), Motorhome (8), Moped or Motorized Bicycle (8), Golf Cart (7), All Terrain Vehicle (ATV/UTV) (6), Heavy Equipment (6), Farm Equipment (5), Motorcycle 3 Wheeled (3), Limo (Livery Vehicle) (2), Train (1), Wheelchair (Any type) (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Person Type
Of the 13,116 individuals involved in crashes, the vast majority were vehicle drivers, accounting for 9,621 people (73.3%). Passengers (occupants) made up the next largest group with 3,466 individuals (26.4%). A smaller but notable group consisted of 29 pedestrians involved in these incidents.
Person Type
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Person Injury Severity
Examining the outcomes for all 13,116 people involved in crashes, 21 individuals sustained fatal injuries. A total of 2,127 people suffered some level of injury, ranging from possible (956) and minor (1,002) to serious (169). The remaining 10,702 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
Safety equipment usage was documented for most individuals involved in crashes, with 10,666 people reported as using a shoulder and lap belt. A total of 536 individuals were recorded as using no safety equipment at all. Proper restraints for younger passengers were also noted, with 389 using child restraint systems and 104 using booster seats.
Occupant Safety Equipment
"Other" combines 3 smaller categories (95 records): Lap Belt Only Used (52), Helmet Used (41), Lighting - Pedestrian / Bicycle Only (2).
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 majority of crashes in Mahoning County involved two vehicles, with 3,795 such incidents making up 67.7% of the total. Single-vehicle crashes were the next most common category, with 1,544 incidents (27.5%). Crashes involving three or more vehicles were less frequent, accounting for 265 incidents, including one crash that involved eight 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: 5,604
- Total persons involved: 13,116
- Total vehicles involved: 9,969
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