ThatCarHitMe.com
An Injuria.ai Company
CRASH INTELLIGENCE REPORT · BELLBROOK, 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/bellbrook/2021-annual-report
Yearly Traffic Safety Analysis
36 CRASHES IN
BELLBROOK, OH
2021
In 2021, Bellbrook experienced 36 traffic crashes, resulting in 0 fatalities and 10 injuries. A notable finding is that 8 of these crashes, or 22.2%, involved a hit-and-run incident.
36
Total Crash Events
0
Persons Killed
10
Persons Injured
22.2%
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
8
Hit-and-Run Crashes — 2021
There were 8 hit-and-run crashes in Bellbrook in 2021, accounting for 22.2% of all crashes. It is important to note that hit-and-run status is based on the responding officer's initial determination.
Vulnerable Road User Casualties
In 2021, there were no pedestrians or cyclists killed or injured in Bellbrook crashes. All 10 injuries reported were sustained by motorists, with no motorist fatalities.
0
Motorists Killed
10
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 Bellbrook peaked on Wednesdays with 7 incidents, and the peak hour for crashes was 1 PM, with 4 occurrences. A majority of crashes, 18 out of 36, occurred during daylight hours, while 12 occurred during 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 36 crashes in Bellbrook, 28 (77.8%) resulted in no injuries, categorized as property-damage-only incidents. The remaining 8 crashes (22.2%) involved injuries, with 2 serious injuries, 2 minor injuries, and 4 possible injuries. There were no fatal crashes recorded in 2021.
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
Most crashes in Bellbrook occurred under clear weather conditions (15 incidents) and on dry road surfaces (22 incidents). Daylight was the prevailing lighting condition for 18 crashes, representing 50% of the total. Adverse conditions such as rain, snow, freezing rain, or sleet/hail were present in 8 crashes, and wet or snowy road surfaces were reported in 14 crashes.
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 16-20 was most represented among persons involved in crashes, with 16 individuals. The most frequent vehicle makes involved in crashes were Chevrolet (9 vehicles) and Toyota (8 vehicles).
Top Vehicle Makes (61 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
3 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (80 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 vast majority of crashes, 35 out of 36, occurred on the roadway itself. Only 1 crash occurred on the shoulder, indicating a small proportion of run-off-road incidents.
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
The most frequent traffic control type associated with crashes was 'No Control,' with 35 instances. Signalized locations were associated with 20 instances, while stop signs were associated with 6 instances.
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, 'Following too Close / ACDA' was the most common, cited in 10 incidents. 'Drove off Road' and 'Improper Turn' each contributed to 4 incidents. These three factors were the most frequent real contributing factors identified.
Driver Contributing Factor
Showing top 9 of 13 reported. 4 additional (4 total) not shown: Improper Backing, Ran Stop Sign, Swerving to Avoid, Left of Center.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Driver Condition
Abnormal driver conditions were identified in 7 instances. 'Under the Influence of Medications / Drugs / Alcohol' was noted in 5 incidents, while 'Emotional' and 'Illness' each accounted for 1 incident.
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 were reported in 12 instances. 'Other distraction outside the vehicle' was the most common, noted in 4 incidents, followed by 'Other distraction inside the vehicle' and 'Other activity with an electronic device,' each in 3 incidents.
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 11.1% of crashes (4 out of 36) occurred on curves, and 41.7% of crashes (15 out of 36) occurred on grades. The majority of crashes, 20 out of 36, took place on straight, level road 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 common pre-crash action was 'Straight Ahead,' accounting for 24 instances. 'Slowing or Stopped In Traffic' was the next most frequent, with 11 instances, followed by 'Making Left Turn' in 6 instances.
Pre-Crash Driver Action
Showing top 9 of 10 reported. 1 additional (1 total) not shown: Backing.
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 'Not Collision Between Two Vehicles in Transport,' accounting for 13 crashes or 36.1% of the total. Rear-end collisions were the second most frequent, with 10 crashes (27.8%), followed by angle collisions at 9 crashes (25%).
Manner of Collision
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 28 vehicles. Additionally, trucks and commercial vehicles, including pick-ups, cargo vans, and semi-tractors, accounted for 11 of the 61 vehicles involved.
Vehicle Type
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Person Type
Drivers constituted the majority of persons involved in crashes, with 57 individuals. Occupants accounted for 24 individuals, representing 29.6% of all persons recorded.
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 81 persons involved in crashes, 70 sustained no injuries. A total of 10 persons were injured, comprising 2 serious injuries, 3 minor injuries, and 5 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
Safety equipment use was high, with 71 individuals reported as using 'Shoulder and Lap Belt Used.' Only 1 individual was reported as using 'None Used,' representing 1.2% of persons with reported safety equipment use.
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 11 incidents, representing 30.6% of all crashes. The remaining 25 crashes (69.4%) involved two vehicles, with no crashes involving more than two 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 5, 2026
Data Coverage
- Reporting period: 2021-01-01 through 2021-12-31 (365 days)
- Geographic scope: Bellbrook, OH
- Total crash records analyzed: 36
- Total persons involved: 81
- Total vehicles involved: 61
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). "Bellbrook, 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/bellbrook/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