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CRASH INTELLIGENCE REPORT · BOSTON 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/boston-heights/2021-annual-report
Yearly Traffic Safety Analysis
137 CRASHES IN
BOSTON HEIGHTS, OH
2021
In 2021, Boston Heights recorded a total of 137 crashes, resulting in 0 fatalities and 39 injuries. A notable finding is that 78.1% of these crashes resulted in no injuries, indicating a high proportion of property-damage-only incidents.
137
Total Crash Events
0
Persons Killed
39
Persons Injured
10.2%
Hit-and-Run Rate
Note: "Persons Killed" (0) counts individual fatalities across all crash events. "Fatal" in the severity table below (0) 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
14
Hit-and-Run Crashes — 2021
In 2021, Boston Heights recorded 14 hit-and-run crashes, representing 10.2% of all crashes. This figure is based on the initial determination by the responding officer.
Vulnerable Road User Casualties
There were no fatalities among pedestrians, cyclists, or motorists in 2021. Motorists sustained the highest number of injuries, with 38 individuals injured. One pedestrian was injured, while no cyclists were injured during this period.
0
Pedestrians Killed
0
Motorists Killed
1
Pedestrians Injured
38
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 data for 2021 indicates a peak in incidents on Tuesdays, with 27 crashes recorded. The highest hourly crash frequency occurred at 5 PM, with 14 crashes. The majority of crashes, 93, took place during daylight hours, while 35 crashes occurred in dark conditions (24 on unlighted roadways, 11 on lighted roadways).
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
In 2021, 107 crashes (78.1%) resulted in no injuries, categorized as property-damage-only incidents. Injury crashes accounted for 30 incidents (22%), comprising 2 serious injuries, 16 minor injuries, and 12 possible injuries. There were no fatal crashes or fatalities recorded during this period.
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 favorable conditions, with 75 incidents in clear weather, 95 on dry road surfaces, and 93 during daylight hours. However, adverse conditions were also present in a notable number of crashes. 24 crashes occurred during rain and 7 during snow, while 37 crashes took place on wet roads, 3 on snowy roads, and 2 on slushy roads.
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 groups 26-34 (54 persons) and 35-44 (50 persons) were most frequently represented among persons involved in crashes. Ford vehicles were the most common make involved, with 41 instances, followed by Toyota and Chevrolet, both with 25 instances each.
Top Vehicle Makes (240 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
15 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (293 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, 111, occurred directly on the roadway. A total of 16 crashes (11.7%) occurred off the travel lanes, including 7 on the roadside, 5 on the shoulder, and 4 in the median, indicating a notable proportion of run-off-road incidents.
Crash Location (First Harmful Event)
"Other" combines 1 smaller categories (1 records): Other/Unknown (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Traffic Control Device
Among traffic control instances reported, 177 (73.8%) occurred at locations with no traffic control. Signalized locations accounted for 43 instances (17.9%). Overall, 192 instances (80%) were associated with uncontrolled locations (no control, stop sign, or yield 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 reported contributing factors, 'Following too Close / ACDA' was the most frequent, cited in 42 instances, representing 17.8% of drivers. 'Other Improper Action' and 'Failure to Yield' each contributed to 16 instances (6.8% each). 'Improper Lane Change' was noted in 14 instances (5.9%).
Driver Contributing Factor
Showing top 9 of 17 reported. 8 additional (15 total) not shown: Improper Backing, Improper Passing, Load shifting/Falling/Spilling, Operating Defective Equipment, Ran Red Light, Left of Center, Improper Crossing, 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 vehicles accounted for 20 incidents, representing 14.6% of all crashes. Of these, 16 involved Semi-Tractor Trailers and 4 involved Other Commercial Vehicles.
Animal-Involved Crashes
Animal-strike crashes totaled 12 incidents, accounting for 8.8% of all crashes. The majority of these, 11, involved deer, with one incident involving another type of animal.
Driver Condition
Four drivers were reported with abnormal conditions at the time of their crashes, representing 1.7% of all drivers. These included two instances of illness, one instance of falling asleep/fatigue, and one instance of being under the influence of medications/drugs/alcohol.
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
Ten drivers were identified with specific distractions, accounting for 4.2% of all drivers. The most frequent distraction was 'Other activity with an electronic device' with 4 instances, followed by 'Other distraction inside the vehicle' and 'Talking on hand-held communication device' with 2 instances each.
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 alignment data indicates that 13 crashes (9.5%) occurred on curves, comprising 8 on curve grades and 5 on curve levels. Additionally, 40 crashes (29.2%) took place on roadways with a grade, including both straight and curved sections.
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 reported was 'Straight Ahead,' accounting for 161 instances (68.2%) among drivers. 'Slowing or Stopped In Traffic' was the second most frequent action, noted in 33 instances (14.0%). 'Changing Lanes' was reported in 12 instances (5.1%).
Pre-Crash Driver Action
Showing top 9 of 14 reported. 5 additional (9 total) not shown: Overtaking/Passing, Parked, Driverless, 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
The most frequent manner of collision was 'Not Collision Between Two Vehicles in Transport,' accounting for 49 crashes (35.8%). 'Rear-end' collisions were the second most common, occurring in 39 incidents (28.5%). 'Sideswipe; same direction' collisions also contributed significantly, with 24 incidents (17.5%).
Manner of Collision
"Other" combines 1 smaller categories (1 records): Other/Unknown (1).
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 prevalent vehicle type involved in crashes, accounting for 107 instances (44.6%). Sport Utility Vehicles followed with 72 instances (30%). Commercial vehicles, including Semi-Tractors, Pick ups, Cargo Vans, and Single Unit Trucks, collectively represented 51 instances (21.3%) of vehicles involved.
Vehicle Type
"Other" combines 3 smaller categories (3 records): Pedestrian/Skater (1), Single Unit Truck (1), Motorcycle 2 Wheeled (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Person Type
Drivers constituted the largest group of persons involved in crashes, with 236 individuals (78.4%). Occupants accounted for 64 individuals (21.3%), while one pedestrian was involved, representing 0.3% of all persons.
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 301 persons involved in crashes, 256 sustained no injuries. A total of 39 individuals (13.0%) sustained injuries, including 2 serious injuries, 20 minor injuries, and 17 possible injuries. No fatalities were recorded among persons involved in crashes.
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
The majority of participants, 274, utilized shoulder and lap belts. A small number of individuals, 1, were reported as using no safety equipment. Additionally, child restraint systems were used in 10 instances across various types.
Occupant Safety Equipment
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
Single-vehicle crashes accounted for 46 incidents, representing 33.6% of all crashes. Two-vehicle crashes were the most common, occurring in 83 incidents. A small number of multi-vehicle incidents involved 4 vehicles (2 crashes) and 5 vehicles (1 crash).
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: Boston Heights, OH
- Total crash records analyzed: 137
- Total persons involved: 301
- Total vehicles involved: 240
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). "Boston Heights, 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/boston-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 6, 2026 · All rights reserved