ThatCarHitMe.com
An Injuria.ai Company
CRASH INTELLIGENCE REPORT · FREMONT, 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/fremont/2021-annual-report
Yearly Traffic Safety Analysis
222 CRASHES IN
FREMONT, OH
2021
In 2021, Fremont, Ohio recorded a total of 222 crashes, resulting in 2 fatalities and 84 injuries. A significant majority of these crashes, 72.5%, resulted in no reported injuries. Angle collisions were the most frequent type of crash, accounting for 38.3% of all incidents.
222
Total Crash Events
2
Persons Killed
84
Persons Injured
9.9%
Hit-and-Run Rate
Note: "Persons Killed" (2) counts individual fatalities across all crash events. "Fatal" in the severity table below (2) 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
22
Hit-and-Run Crashes — 2021
There were 22 hit-and-run crashes in Fremont in 2021, representing 9.9% 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 Fremont in 2021, 84 motorists were injured, making them the largest group affected. There was 1 pedestrian killed and 1 motorist killed. No cyclists were reported killed or injured during this period.
1
Pedestrians Killed
1
Motorists Killed
0
Pedestrians Injured
84
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 Fremont occurred most frequently on Wednesdays, with 45 incidents reported. The peak hour for crashes was 4 PM, recording 21 incidents. A majority of crashes, 71.6% (159 crashes), happened during daylight hours, while 28.4% (63 crashes) occurred during dark or dawn/dusk 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 222 crashes in Fremont, 72.5% (161 crashes) resulted in no injuries. Injury crashes, including fatal incidents, accounted for 27.5% (61 crashes) of the total. There were 2 fatal crashes, which resulted in 2 persons killed.
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 Fremont in 2021 occurred under clear weather conditions (154 crashes, 69.4%), on dry road surfaces (171 crashes, 77.0%), and during daylight (159 crashes, 71.6%). Adverse conditions also contributed to crashes, with 29 incidents occurring in rain and 38 on wet 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 65 and older was most represented among persons involved in crashes, with 79 individuals, followed by the 26-34 age group with 75 individuals. Chevrolet vehicles were involved in the most crashes, with 98 instances, followed by Ford with 73 instances, out of a total of 412 vehicles.
Top Vehicle Makes (412 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
10 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (478 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)
A substantial majority of crashes, 88.3% (196 crashes), occurred directly on the roadway. Crashes occurring off the travel lanes, including on the roadside, shoulder, or in the median, totaled 18 incidents, representing 8.1% of all crashes.
Crash Location (First Harmful Event)
"Other" combines 3 smaller categories (3 records): Off ramp (1), Other/Unknown (1), Driveway/Alley access (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, 61.9% (255 vehicles) were at locations with no traffic control. Signalized locations accounted for 24.5% (101 vehicles) of involved vehicles, while uncontrolled locations (no control, stop sign, flasher) collectively represented 75.5% (311 vehicles) of involved vehicles.
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 improper actions contributing to crashes involved Failure to Yield (44 drivers), Following too Close / ACDA (41 drivers), and Other Improper Action (28 drivers). These factors were attributed to 11.9%, 11.1%, and 7.6% of drivers, respectively, out of 370 drivers involved.
Driver Contributing Factor
Showing top 9 of 17 reported. 8 additional (20 total) not shown: Not Discernible, Unsafe Speed, Left of Center, Improper Start From a Parked Position, Improper Passing, Operating Defective Equipment, Load shifting/Falling/Spilling, Swerving to Avoid.
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 13 commercial vehicles were involved in crashes, comprising 3.15% of all 412 vehicles involved. This included 7 Semi-Tractor Trailers and 6 Other Commercial Vehicles.
Impairment (Alcohol / Drugs)
There were 16 impaired-driving crashes reported, accounting for 7.2% of all crashes. Alcohol impairment was cited in 10 crashes, drug impairment in 4 crashes, and both alcohol and drugs in 2 crashes.
Driver Condition
Among drivers involved in crashes, 18 instances of abnormal conditions were reported, representing 4.86% of all 370 drivers. These included 13 drivers under the influence of medications/drugs/alcohol, 2 drivers who fell asleep/fainted/fatigued, 2 with physical impairments, and 1 with an emotional condition.
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
Out of 370 drivers, 18 were identified as distracted, representing 4.86% of drivers. Distractions included 6 instances of other distraction inside the vehicle, 4 of other electronic device activity, and 3 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 2.7% (6 crashes) occurred on curved roadways, while 6.3% (14 crashes) occurred on roadways with a grade. The majority of crashes, 91.9% (204 crashes), 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
Prior to crashes, the most common driver actions were going Straight Ahead (212 instances, 51.7%), Making Left Turn (48 instances, 11.7%), and Slowing or Stopped In Traffic (47 instances, 11.5%) out of 410 recorded actions.
Pre-Crash Driver Action
Showing top 9 of 13 reported. 4 additional (7 total) not shown: Overtaking/Passing, Leaving Traffic Lane, Driverless, Other Non-Motorist.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Manner of Collision
The most dominant manner of collision was Angle, accounting for 85 crashes or 38.3% of all incidents. Collisions not involving two vehicles in transport represented the second most frequent type, with 66 crashes (29.7%).
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 dominant vehicle type involved in crashes, accounting for 197 vehicles or 47.8% of the total 412 vehicles. Commercial vehicles, including semi-tractors, cargo vans, and buses, collectively comprised 15 vehicles, representing 3.6% of all vehicles.
Vehicle Type
"Other" combines 7 smaller categories (10 records): Bicycle (2), Bus (16+ Passengers) (2), Motorcycle 2 Wheeled (2), Pedestrian/Skater (1), Single Unit Truck (1), Motorhome (1), Van (9-15 Seats) (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 dominant role among persons involved in crashes, with 370 individuals, representing 76.4% of all 484 persons. Occupants (passengers) accounted for 113 individuals, or 23.3% of persons involved, while 1 pedestrian was involved.
Person Type
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Person Injury Severity
Among the 484 persons involved in crashes, 0.4% (2 persons) sustained fatal injuries. A total of 17.4% (84 persons) sustained some level of injury (serious, minor, or possible).
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
Shoulder and lap belts were the most commonly used safety equipment, utilized by 375 persons. Notably, 16 persons (3.3% of all persons) were reported to have used no safety equipment.
Occupant Safety Equipment
"Other" combines 2 smaller categories (2 records): Lap Belt Only Used (1), 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, 160 incidents (72.1%), involved two vehicles. Single-vehicle crashes accounted for 49 incidents, representing 22.1% of all crashes. Only one crash involved five 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: Fremont, OH
- Total crash records analyzed: 222
- Total persons involved: 484
- Total vehicles involved: 412
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). "Fremont, 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/fremont/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