ThatCarHitMe.com
An Injuria.ai Company
CRASH INTELLIGENCE REPORT · HEATH, 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/heath/2021-annual-report
Yearly Traffic Safety Analysis
380 CRASHES IN
HEATH, OH
2021
In 2021, Heath experienced a total of 380 crashes, resulting in 0 fatalities and 150 injuries. A significant portion of these incidents involved a rear-end collision, accounting for 36.1% of all crashes, making it the most frequent manner of collision.
380
Total Crash Events
0
Persons Killed
150
Persons Injured
10.3%
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
39
Hit-and-Run Crashes — 2021
There were 39 hit-and-run crashes in Heath during 2021, representing 10.3% of all reported incidents. It is important to note that hit-and-run status is based on the initial determination by the responding officer.
Vulnerable Road User Casualties
In 2021, there were 0 fatalities among pedestrians, cyclists, and motorists in Heath. Two pedestrians and 148 motorists sustained injuries. There were no injuries reported for cyclists.
0
Pedestrians Killed
0
Motorists Killed
2
Pedestrians Injured
148
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 in Heath peaked on Thursdays, with 72 incidents recorded, and the most frequent hour for crashes was 5 PM, with 40 occurrences. A substantial majority of crashes, 303 incidents, took place during daylight hours, compared to 65 incidents occurring in dark 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
Of the 380 crashes in 2021, 288 (75.8%) resulted in no injuries, while 92 crashes (24.2%) involved some level of injury. There were no fatal crashes recorded in this period. It is important to distinguish that while 0 fatal crashes occurred, the number of fatalities (persons killed) could differ if a single crash involved multiple deaths.
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 in 2021 occurred under clear weather (226 crashes), on dry road surfaces (294 crashes), and during daylight hours (303 crashes). Adverse conditions such as rain (48 crashes), wet roads (75 crashes), or dark conditions (65 crashes) were associated with a smaller proportion 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
The age groups most represented among persons involved in crashes were 35-44 (140 persons), 26-34 (130 persons), and 65+ (130 persons). The most frequently involved vehicle makes were FORD (109 vehicles), CHEVROLET (106 vehicles), and HONDA (104 vehicles).
Top Vehicle Makes (749 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
38 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (930 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, 350, occurred on the roadway. A total of 27 crashes, representing 7.1% of all incidents, occurred off the travel lanes, specifically on the roadside (18), on the shoulder (8), or in the median (1).
Crash Location (First Harmful Event)
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, 'No Control' was the most frequent traffic control condition, accounting for 407 vehicles. Approximately 39.8% of vehicles involved in crashes were at signalized locations, while 54.3% were at uncontrolled 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 common contributing factors among drivers were 'Following too Close / ACDA' (139 drivers, 19.0% of all drivers) and 'Failure to Yield' (85 drivers, 11.6% of all drivers). 'Other Improper Action' was noted for 26 drivers, representing 3.5% of all drivers.
Driver Contributing Factor
Showing top 9 of 17 reported. 8 additional (30 total) not shown: Ran Stop Sign, Improper Turn, Unsafe Speed, Improper Crossing, Swerving to Avoid, Vision Obstruction, Operating Defective Equipment, Improper Passing.
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 18 commercial vehicles were involved in crashes, comprising 10 semi-tractor trailers and 8 other commercial vehicles. These commercial vehicles represented 2.4% of all vehicles involved in crashes.
Driver Condition
Ten drivers were reported with abnormal conditions at the time of their crashes, representing 1.4% of all drivers. These conditions included being 'Under the Influence of Medications / Drugs / Alcohol' (6 drivers), 'Illness' (3 drivers), or having 'Fell Asleep; Fainted; Fatigued; etc.' (1 driver).
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
Specific driver distractions included 'Other distraction outside the vehicle' (46 drivers), 'Other distraction inside the vehicle' (12 drivers), and 'Manually operating an electronic communication device' (11 drivers). Overall, 73 drivers, or 10.0% of all drivers, were reported as distracted.
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
Approximately 9.2% of crashes (35 incidents) occurred on curves, including 25 on curve level sections and 10 on curve grade sections. Additionally, 24 crashes, or 6.3% of the total, occurred on grades, encompassing both straight grade and curve grade alignments.
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 frequent pre-crash actions reported for vehicles were 'Straight Ahead' (370 vehicles, 49.4%), 'Slowing or Stopped In Traffic' (153 vehicles, 20.4%), and 'Making Left Turn' (100 vehicles, 13.3%). These actions represent a significant portion of all reported vehicle movements prior to a crash.
Pre-Crash Driver Action
Showing top 9 of 15 reported. 6 additional (18 total) not shown: Entering Traffic Lane, Leaving Traffic Lane, Driverless, Walking; Running; Jogging; Playing, Making U-Turn, Standing.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Manner of Collision
The dominant manner of collision was 'Rear-end,' accounting for 137 crashes or 36.1% of the total. 'Angle' collisions were the next most frequent, contributing to 125 crashes or 32.9% of all incidents.
Manner of Collision
"Other" combines 2 smaller categories (12 records): Head-on (6), Rear-to-rear (6).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Vehicle Type
The most common vehicle type involved in crashes was the 'Passenger Car,' with 435 units. Trucks, buses, and commercial vehicles collectively accounted for 20 vehicles, representing 2.7% of all vehicles involved.
Vehicle Type
"Other" combines 8 smaller categories (18 records): Other Vehicle (4), Motorcycle 2 Wheeled (3), Single Unit Truck (3), Bus (16+ Passengers) (2), Heavy Equipment (2), Pedestrian/Skater (2), Bicycle (1), All Terrain Vehicle (ATV/UTV) (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 732 individuals, representing 76.0% of all persons. Occupants (passengers) accounted for 229 individuals (23.8%), and pedestrians for 2 individuals (0.2%).
Person Type
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Person Injury Severity
Out of 963 persons involved in crashes, 150 individuals (15.6%) sustained some form of injury, with 12 of these being serious injuries. There were no fatalities reported among persons, and 807 persons (83.8%) sustained no 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 participants, 820 individuals, were reported as using both shoulder and lap belts. However, 25 individuals were recorded as using no safety equipment, representing 2.8% of those with reported equipment status.
Occupant Safety Equipment
"Other" combines 2 smaller categories (5 records): Lap Belt Only Used (4), 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
The majority of crashes, 310 incidents (81.6%), involved two vehicles. Single-vehicle crashes accounted for 41 incidents (10.8%), while multi-vehicle crashes involving three or more vehicles totaled 29 incidents (7.6%).
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: Heath, OH
- Total crash records analyzed: 380
- Total persons involved: 963
- Total vehicles involved: 749
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). "Heath, 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/heath/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