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CRASH INTELLIGENCE REPORT · CONNEAUT, 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/conneaut/2021-annual-report
Yearly Traffic Safety Analysis
162 CRASHES IN
CONNEAUT, OH
2021
In 2021, Conneaut experienced 162 crashes, resulting in 0 fatalities and 53 injuries. The most notable finding is that 77.8% of crashes reported no injuries, indicating a high proportion of property-damage-only incidents.
162
Total Crash Events
0
Persons Killed
53
Persons Injured
13.0%
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
21
Hit-and-Run Crashes — 2021
Conneaut recorded 21 hit-and-run crashes in 2021, accounting for 13% of all incidents. It is important to note that hit-and-run status is based on the responding officer's initial determination at the crash scene.
Vulnerable Road User Casualties
In 2021, there were no fatalities reported among pedestrians, cyclists, or motorists in Conneaut. However, 53 motorists sustained injuries. No pedestrians or cyclists were reported injured during this period.
0
Motorists Killed
53
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 that Friday was the peak day for crashes with 34 incidents, while 3:00 PM was the peak hour with 20 crashes. The majority of crashes, 70.2%, occurred during daylight hours, compared to 27.3% 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 162 crashes in 2021, 77.8% (126 crashes) resulted in no injuries, while 22.2% (36 crashes) involved some level of injury. There were no fatal crashes recorded in this period. It is important to note that the number of persons killed may differ from the number of fatal crashes, as a single crash can involve multiple fatalities.
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
A significant portion of crashes in 2021 occurred under clear weather conditions (83 crashes) and on dry road surfaces (108 crashes). Furthermore, 113 crashes took place during daylight hours. Conversely, 32 crashes occurred during adverse weather such as rain or snow, and 52 crashes happened on wet, snowy, or icy road surfaces.
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 26-34 was most represented among persons involved in crashes with 66 individuals, followed by those 65 and older with 48 individuals. Chevrolet vehicles were most frequently involved in crashes, accounting for 47 vehicles, with Ford (39 vehicles) and Honda (20 vehicles) also being prominent.
Top Vehicle Makes (275 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
19 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (333 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, 135 incidents, occurred on the roadway itself. However, 17 crashes, representing 10.5% of the total, occurred off the travel lanes, specifically on the shoulder, roadside, or in the median.
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 units involved in crashes, 183 were at locations with no traffic control present, making it the dominant condition. Approximately 15.7% of units were involved in crashes at signalized locations, while 83.6% were at uncontrolled locations (including no control, stop signs, flashers, and yield signs).
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 frequently cited contributing factor among drivers was 'Failure to Yield' with 33 instances, accounting for 24.3% of reported factors. 'Other Improper Action' was noted in 19 instances (14.0%), and 'Following too Close / ACDA' in 18 instances (13.2%). These factors represent the primary improper actions contributing to crashes.
Driver Contributing Factor
Showing top 9 of 16 reported. 7 additional (15 total) not shown: Ran Red Light, Improper Lane Change, Improper Start From a Parked Position, Swerving to Avoid, Left of Center, Stopped or Parked Illegally, Operating Defective Equipment.
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 16 commercial vehicles were involved in crashes in 2021, representing 5.8% of all vehicles involved. Of these, 13 were Semi-Tractor Trailers and 3 were other commercial vehicles.
Driver Condition
Abnormal driver conditions were reported in 12 instances. These included 4 drivers under the influence of medications/drugs/alcohol, 4 drivers experiencing emotional distress, 3 drivers with an illness, and 1 driver who fell asleep, fainted, or was fatigued.
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
Driver distraction was identified in 17 instances. This included 7 cases of other distraction inside the vehicle, 7 cases of other distraction outside the vehicle, 2 cases involving other activity with an electronic device, and 1 case of manually operating an electronic communication device.
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 7.4% of crashes (12 incidents) occurred on curved roadways, and 15.4% of crashes (25 incidents) took place on graded sections of road. The majority of crashes, 134 incidents, occurred 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 reported was 'Straight Ahead' in 146 instances, accounting for 55.1% of all actions. 'Slowing or Stopped In Traffic' was the second most frequent at 30 instances (11.3%), followed by 'Parked' at 20 instances (7.5%).
Pre-Crash Driver Action
Showing top 9 of 12 reported. 3 additional (7 total) not shown: Overtaking/Passing, Leaving Traffic Lane, Changing Lanes.
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 41.4% (67 crashes) of incidents. 'Angle' collisions were also significant, representing 29% (47 crashes), while 'Rear-end' collisions made up 15.4% (25 crashes).
Manner of Collision
"Other" combines 1 smaller categories (2 records): Sideswipe; opposite direction (2).
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, with 151 vehicles recorded. Light trucks and commercial vehicles, including pick-ups, SUVs, semi-tractors, and various vans/buses, collectively accounted for 95 vehicles, or 34.5% of all vehicles involved.
Vehicle Type
"Other" combines 7 smaller categories (11 records): Motorcycle 2 Wheeled (3), Heavy Equipment (2), Single Unit Truck (2), Van (9-15 Seats) (1), Moped or Motorized Bicycle (1), Other Vehicle (1), Bus (16+ Passengers) (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 255 individuals, representing 71.4% of all persons. Occupants accounted for the remaining 102 individuals, or 28.6% of 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
Out of 357 persons involved in crashes, 53 sustained injuries of varying severity. This indicates that 14.8% of individuals involved experienced an injury. No fatalities were recorded among persons 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
Among persons for whom safety equipment use was recorded, 288 individuals were using shoulder and lap belts. A total of 15 individuals, representing 4.6% of those with recorded data, were reported as using no safety equipment.
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 54 incidents, representing 33.3% of all crashes. The majority of crashes, 103 incidents (63.6%), involved two vehicles. Additionally, 5 crashes (3.1%) 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: Conneaut, OH
- Total crash records analyzed: 162
- Total persons involved: 357
- Total vehicles involved: 275
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). "Conneaut, 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/conneaut/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