ThatCarHitMe.com
An Injuria.ai Company
CRASH INTELLIGENCE REPORT · ENGLEWOOD, 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/englewood/2021-annual-report
Yearly Traffic Safety Analysis
331 CRASHES IN
ENGLEWOOD, OH
2021
In 2021, Englewood experienced a total of 331 crashes, resulting in 0 fatalities and 121 injuries. A notable finding is that 73.4% of these crashes resulted in no injuries, indicating a high proportion of property-damage-only incidents. The absence of fatalities highlights a positive aspect of traffic safety during this period.
331
Total Crash Events
0
Persons Killed
121
Persons Injured
10.0%
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
33
Hit-and-Run Crashes — 2021
There were 33 hit-and-run crashes in Englewood in 2021, accounting for 10% of all reported incidents. This rate indicates that one in ten crashes involved a driver leaving the scene. Hit-and-run status is determined by the responding officer's initial assessment at the crash scene.
Vulnerable Road User Casualties
In 2021, there were 0 fatalities among pedestrians, cyclists, and motorists in Englewood. However, 120 motorists sustained injuries, making them the highest-impact group. Additionally, one pedestrian was injured, while no cyclists were reported injured.
0
Pedestrians Killed
0
Motorists Killed
1
Pedestrians Injured
120
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 Englewood peaked on Thursdays, with 62 incidents recorded, and the most frequent hour for crashes was 4 PM, with 36 occurrences. A majority of crashes, 219 out of 331, occurred during daylight hours. Conversely, 92 crashes took place in dark conditions, either on lighted or unlighted 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
Of the 331 crashes in 2021, 73.4% (243 crashes) resulted in no injuries, categorized as property-damage-only incidents. Injury-involved crashes, including serious, minor, and possible injuries, accounted for 88 incidents, or 26.6% of the total. There were no fatal crashes reported in Englewood 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 in Englewood occurred under favorable environmental conditions, with 58.3% (193 crashes) happening in clear weather, 71.0% (235 crashes) on dry road surfaces, and 66.2% (219 crashes) during daylight. However, adverse conditions also contributed to crashes, with 55 incidents occurring in rain and 84 on wet 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
Among all persons involved in crashes, the 26-34 age group was most represented, with 131 individuals. Passenger cars were the most common vehicle type involved, accounting for 281 vehicles. Chevrolet was the most frequently appearing vehicle make, with 103 vehicles involved in crashes.
Top Vehicle Makes (624 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
36 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (781 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, 288 out of 331, occurred on the roadway itself. A total of 34 crashes, representing 10.3% of all incidents, occurred off the main travel lanes, specifically on the shoulder (14), in the median (11), or on the roadside (9). These indicate instances where the first harmful event happened outside the immediate traffic flow.
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 vehicles involved in crashes, 60.1% (375 vehicles) were at locations with no traffic control present. Conversely, 35.9% (224 vehicles) were at signalized intersections. Stop signs, yield signs, and flashers accounted for a smaller proportion of traffic control devices at crash 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 factor identified was 'Following too Close / ACDA,' accounting for 104 instances, or 31.3% of factors reported. 'Failure to Yield' was the second most common factor, with 63 instances, representing 19.0%. 'Ran Red Light' was also a significant factor, contributing to 29 incidents, or 8.7%.
Driver Contributing Factor
Showing top 9 of 17 reported. 8 additional (27 total) not shown: Improper Backing, Swerving to Avoid, Improper Passing, Ran Stop Sign, Operating Defective Equipment, Not Discernible, Stopped or Parked Illegally, Improper Start From a Parked Position.
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 39 incidents, representing 11.8% of all crashes in 2021. Of these, 35 involved semi-tractor trailers, while 4 involved other types of commercial vehicles. This highlights the presence of heavy vehicles in a notable portion of crashes.
Impairment (Alcohol / Drugs)
A total of 10 crashes, or 3.0% of all incidents, were identified as impairment-related. Alcohol was a factor in 6 crashes, while both alcohol and drugs were involved in 2 crashes. Drugs alone contributed to 2 crashes, indicating various forms of impairment.
Driver Condition
While most drivers were apparently normal, 23 drivers, representing 3.8% of all drivers with reported conditions, exhibited abnormal states. This included 10 drivers under the influence of medications, drugs, or alcohol, and 6 drivers who fell asleep, fainted, or were fatigued. Emotional states, illness, and physical impairment were also noted in a smaller number of drivers.
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
Among drivers with reported distraction status, 20 drivers, representing 3.3% of the total, were identified as distracted. The most common distractions were other distractions inside the vehicle (10 instances) and other distractions outside the vehicle (5 instances). Manual operation of electronic communication devices accounted for 3 instances of distraction.
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 majority of crashes, 265 out of 331, occurred on straight, level road alignments. Crashes on curved sections of roadway, including curve grade and curve level, accounted for 15 incidents, or 4.5% of the total. Crashes on graded sections of roadway, both straight and curved, totaled 63 incidents, representing 19.0%.
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 action for drivers was 'Straight Ahead,' accounting for 331 instances, or 54.0% of reported actions. 'Slowing or Stopped In Traffic' was the second most common, with 109 instances, or 17.8%. 'Making Left Turn' was also a significant action, occurring 74 times, representing 12.1% of pre-crash actions.
Pre-Crash Driver Action
Showing top 9 of 14 reported. 5 additional (12 total) not shown: Negotiating a Curve, Overtaking/Passing, Leaving Traffic Lane, Entering or Crossing Specified Location, Driverless.
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 'Angle,' accounting for 103 crashes, or 31.1% of the total. 'Rear-end' collisions were nearly as frequent, with 99 incidents, making up 29.9% of crashes. 'Not Collision Between Two Vehicles in Transport' represented 76 crashes, or 23.0% of the total.
Manner of Collision
"Other" combines 2 smaller categories (3 records): Backing (2), Rear-to-rear (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 common vehicle type involved in crashes, accounting for 281 vehicles. Sport utility vehicles followed with 178 vehicles, and pickup trucks with 69 vehicles. Commercial vehicles, including semi-tractors, single unit trucks, cargo vans, and buses, collectively comprised 130 vehicles, or 20.8% of all vehicles involved.
Vehicle Type
"Other" combines 8 smaller categories (18 records): Cargo Van (7), Van (9-15 Seats) (4), Motorcycle 2 Wheeled (2), Pedestrian/Skater (1), Other Vehicle (1), Heavy Equipment (1), Bus (16+ Passengers) (1), 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 largest group of persons involved in crashes, with 605 individuals, representing 74.9% of all persons. Occupants (passengers) accounted for 201 individuals, or 24.9% of the total. One pedestrian was also involved in a crash.
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 807 persons involved in crashes, 121 individuals sustained injuries, comprising 15.0% of the total. The majority, 678 persons, or 84.0%, sustained no injuries. There were no fatalities 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 most common safety equipment used was 'Shoulder and Lap Belt Used,' reported by 699 individuals, representing 86.7% of those with known safety equipment status. A small proportion, 11 individuals, or 1.4%, were reported as using 'None Used.' Child restraint systems were used by 48 individuals across various types.
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
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: Englewood, OH
- Total crash records analyzed: 331
- Total persons involved: 807
- Total vehicles involved: 624
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). "Englewood, 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/englewood/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