ThatCarHitMe.com
An Injuria.ai Company
CRASH INTELLIGENCE REPORT · ENON, 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/enon/2021-annual-report
Yearly Traffic Safety Analysis
18 CRASHES IN
ENON, OH
2021
In 2021, Enon experienced 18 total crashes, resulting in 0 fatalities and 6 injuries. A notable finding is that 4 crashes, representing 22.2% of the total, were reported as hit-and-run incidents.
18
Total Crash Events
0
Persons Killed
6
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
4
Hit-and-Run Crashes — 2021
There were 4 hit-and-run crashes in Enon during 2021, accounting for 22.2% of all crashes. Hit-and-run status is based on the responding officer's initial determination.
Vulnerable Road User Casualties
There were no fatalities among pedestrians, cyclists, or motorists in 2021. Six motorists sustained injuries in crashes. No pedestrians or cyclists were injured during this period.
0
Motorists Killed
6
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 Enon peaked on Fridays, with 5 incidents recorded. The most frequent hour for crashes was 3 PM, with 4 occurrences. The majority of crashes, 15 out of 18, occurred during daylight hours, while 2 occurred in darkness.
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
Five crashes (27.8%) resulted in injury, with 2 categorized as serious injury and 3 as possible injury. The remaining 13 crashes (72.2%) involved no injury. There were no fatal crashes, and no fatalities recorded among persons involved.
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 (14 of 18, 77.8%) occurred in clear weather conditions, 15 (83.3%) on dry road surfaces, and 15 (83.3%) during daylight hours. Conversely, 3 crashes (16.7%) occurred on wet roads and 2 crashes (11.1%) in darkness.
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
Top Vehicle Makes (34 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
2 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (46 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)
Of the 18 crashes, 15 occurred on the roadway. Two crashes (11.1%) took place on the roadside, indicating a run-off-road component. One crash occurred at a toll booth.
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 majority of traffic control instances (22 out of 34) were at locations with no control present. Signalized locations accounted for 9 instances, while stop signs were present in 3 instances. This means 73.5% of instances were at uncontrolled locations (no control or stop sign), compared to 26.5% 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 leading contributing factors were Failure to Yield, accounting for 5 crashes (27.8%), and Following too Close / ACDA, responsible for 4 crashes (22.2%). Drove off Road was a factor in 3 crashes (16.7%).
Driver Contributing Factor
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Driver Condition
Two drivers (6.5% of all drivers) were reported as being 'Under the Influence of Medications / Drugs / Alcohol' at the time of their crash. The remaining drivers were categorized as 'Apparently Normal' or 'Other/Unknown'.
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
One driver was recorded as 'Manually operating an electronic communication device (texting; typing; dialing)'. This represents 3.3% of drivers with a known distraction status. The majority of drivers were reported as 'Not 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
The vast majority of crashes, 17 out of 18, occurred on straight, level road alignments. Only one crash (5.6%) took place on a curve with a grade.
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
Going 'Straight Ahead' was the most frequent pre-crash action, accounting for 16 out of 34 vehicle actions (47.1%). 'Making Right Turn' was the second most common at 5 actions (14.7%), followed by 'Making Left Turn,' 'Parked,' and 'Slowing or Stopped In Traffic' each with 3 actions (8.8%).
Pre-Crash Driver Action
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Manner of Collision
Angle collisions were the most common manner of collision, occurring in 7 crashes (38.9%). Rear-end collisions and incidents classified as 'Not Collision Between Two Vehicles in Transport' each accounted for 4 crashes (22.2%).
Manner of Collision
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 frequently involved vehicle type, accounting for 19 out of 34 vehicles (55.9%). Commercial vehicles, including single unit trucks and cargo vans, made up 2 vehicles (5.9%) of those involved.
Vehicle Type
"Other" combines 1 smaller categories (1 records): Bicycle (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 majority of persons involved in crashes, with 31 out of 47 individuals (66.0%). Occupants represented the remaining 16 persons (34.0%).
Person Type
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Person Injury Severity
Six persons sustained injuries in crashes, with 3 reported as serious and 3 as possible injuries. This means 12.8% of all persons involved sustained an injury. No fatalities were recorded among the 47 persons.
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 (36 out of 47) used 'Shoulder and Lap Belt'. Two persons (4.3%) were recorded as having 'None Used'. Three persons used a 'Helmet'.
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
The majority of crashes (14 out of 18) involved two vehicles. Three crashes (16.7%) were single-vehicle incidents. One crash involved three 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: Enon, OH
- Total crash records analyzed: 18
- Total persons involved: 47
- Total vehicles involved: 34
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). "Enon, 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/enon/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