ThatCarHitMe.com
An Injuria.ai Company
CRASH INTELLIGENCE REPORT · BROADVIEW HEIGHTS, 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/broadview-heights/2021-annual-report
Yearly Traffic Safety Analysis
279 CRASHES IN
BROADVIEW HEIGHTS, OH
2021
In Broadview Heights during 2021, there were a total of 279 crashes, resulting in 3 fatalities and 59 injuries. The most notable statistical finding is that rear-end collisions were the most frequent type, accounting for 116 crashes, or 41.6% of all incidents.
279
Total Crash Events
3
Persons Killed
59
Persons Injured
8.2%
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
23
Hit-and-Run Crashes — 2021
There were 23 hit-and-run crashes reported in 2021, representing 8.2% of all crashes. This classification is based on the initial determination made by the responding officer at the scene of the incident.
Vulnerable Road User Casualties
In 2021, 3 motorists were killed and 58 motorists were injured in crashes. Additionally, 1 pedestrian sustained injuries, while no pedestrians or cyclists were killed.
0
Pedestrians Killed
3
Motorists Killed
1
Pedestrians Injured
58
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 Thursdays, with 61 incidents recorded, and the peak hour for crashes was 5 PM, with 25 occurrences. The majority of crashes, 190 (68.1%), took place during daylight hours, while 89 crashes (31.9%) occurred in dark or low-light conditions.
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
Out of 279 crashes, 3 were fatal incidents, resulting in 3 total fatalities. A total of 59 crashes (21.1%) involved injuries, comprising 25 minor injuries and 31 possible injuries. The largest proportion, 220 crashes (78.9%), resulted in no 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 occurred under clear weather conditions (160 crashes, 57.3%) and on dry road surfaces (213 crashes, 76.3%), primarily during daylight (190 crashes, 68.1%). Adverse conditions included 32 crashes in rain, 12 in snow, 53 on wet roads, 9 on snow-covered roads, and 70 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
The age group 26-34 was most represented among persons involved in crashes, with 118 individuals. Among vehicle makes, Ford was most frequent with 59 vehicles, followed by Chevrolet with 47 vehicles, and Toyota with 40 vehicles.
Top Vehicle Makes (512 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
16 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (599 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, 210 (75.3%), occurred on the roadway. A total of 34 crashes (12.2%) occurred off the travel lanes, specifically on the roadside, shoulder, or in the median.
Crash Location (First Harmful Event)
"Other" combines 2 smaller categories (4 records): On ramp (2), Driveway/Alley access (2).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Traffic Control Device
Among vehicles involved in crashes with known traffic control, 311 were at locations with no control, while 188 were at signalized locations. This indicates that 60.9% of vehicles were at uncontrolled locations, compared to 36.8% at signalized locations.
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 frequent contributing factor was 'Following too Close / ACDA', cited for 109 drivers, representing 22.4% of all drivers. Other notable factors included 'Drove off Road' (23 drivers, 4.7%) and 'Other Improper Action' (22 drivers, 4.5%).
Driver Contributing Factor
Showing top 9 of 19 reported. 10 additional (36 total) not shown: Ran Red Light, Not Discernible, Left of Center, Improper Passing, Stopped or Parked Illegally, Improper Start From a Parked Position, Operating Defective Equipment, Ran Stop Sign, 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
Impairment (Alcohol / Drugs)
There were 19 impaired-driving crashes recorded, accounting for 6.8% of all crashes. Of these, 16 involved alcohol impairment and 3 involved drug impairment.
Driver Condition
Twenty-seven drivers were reported with abnormal conditions at the time of the crash. This included 11 drivers under the influence of medications/drugs/alcohol, 9 drivers who fell asleep/fainted/were fatigued, 4 drivers with emotional conditions, and 3 drivers with physical impairments.
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
Twenty-four drivers were reported as distracted in crashes. The most common distractions were 'Other distraction inside the vehicle' (11 drivers) and 'Other distraction outside the vehicle' (5 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
A total of 21 crashes (7.5%) occurred on curves, while 81 crashes (29.0%) took place on grades. The majority of crashes, 186, occurred on straight, level roads.
Road Alignment
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 was 'Straight Ahead,' accounting for 251 instances, or 49.6% of all known actions. 'Slowing or Stopped In Traffic' was the second most frequent action, with 117 instances, representing 23.1% of known actions.
Pre-Crash Driver Action
Showing top 9 of 14 reported. 5 additional (16 total) not shown: Other/Unknown, Overtaking/Passing, Entering Traffic Lane, Making U-Turn, Walking; Running; Jogging; Playing.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Manner of Collision
Rear-end collisions were the predominant manner of collision, accounting for 116 crashes, or 41.6% of all incidents. Additionally, 72 crashes (25.8%) were classified as 'Not Collision Between Two Vehicles in Transport,' typically indicating single-vehicle incidents.
Manner of Collision
"Other" combines 1 smaller categories (3 records): Head-on (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 235 vehicles, or 45.9% of all vehicles. Commercial vehicles, including semi-tractors, cargo vans, single unit trucks, buses, and larger vans, collectively represented 66 vehicles, or 12.9% of all vehicles.
Vehicle Type
"Other" combines 7 smaller categories (18 records): Unknown or Hit/Skip (6), Bus (16+ Passengers) (4), Other Vehicle (3), Bicycle (2), Van (9-15 Seats) (1), Motorcycle 2 Wheeled (1), Pedestrian/Skater (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Person Type
Drivers represented the largest group of persons involved in crashes, with 486 individuals, comprising 79.7% of all persons. Occupants accounted for 123 persons (20.2%), while 1 pedestrian was involved.
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 610 persons involved in crashes, 3 individuals (0.49%) sustained fatal injuries. A total of 59 persons (9.67%) sustained either minor or possible injuries.
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
A high proportion of persons, 529 (90.4%), were reported using shoulder and lap belts. However, 29 persons (5.0%) were reported as using no safety equipment.
Occupant Safety Equipment
"Other" combines 2 smaller categories (3 records): Lap Belt Only Used (2), Helmet 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
Two-vehicle crashes were the most common, accounting for 197 incidents, or 70.6% of all crashes. Single-vehicle crashes represented 64 incidents, making up 22.9% of the total crashes.
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: Broadview Heights, OH
- Total crash records analyzed: 279
- Total persons involved: 610
- Total vehicles involved: 512
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). "Broadview Heights, 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/broadview-heights/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