Yearly Traffic Safety Analysis

1,477 CRASHES IN
ELYRIA, OH
2021

In 2021, Elyria, Ohio experienced a total of 1,477 crashes, resulting in 8 fatalities and 518 injuries. A significant majority, 74.7%, of these crashes were classified as having no injury. There were 6 fatal crashes recorded during this period.

1,477

Total Crash Events

8

Persons Killed

518

Persons Injured

17.0%

Hit-and-Run Rate

Note: "Persons Killed" (8) counts individual fatalities across all crash events. "Fatal" in the severity table below (6) 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

251

Hit-and-Run Crashes — 2021

Hit-and-run incidents accounted for 251 crashes in Elyria in 2021, representing 17% of all crashes. This statistic is based on the initial determination made by the responding officer at the scene of the incident.

Vulnerable Road User Casualties

Motorists were the most impacted group in crashes, with 8 fatalities and 506 injuries reported. Additionally, 12 pedestrians sustained injuries, though no pedestrian fatalities were recorded. There were no reported fatalities or injuries among cyclists in Elyria during this period.

0

Pedestrians Killed

8

Motorists Killed

12

Pedestrians Injured

506

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 frequency in Elyria peaked on Fridays, with 264 incidents reported, and the peak hour for crashes was 4 p.m., recording 134 incidents. The majority of crashes occurred during daylight hours, with 994 incidents, compared to 401 incidents occurring in dark conditions (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 1,477 crashes in Elyria, 74.7% resulted in no injuries, while 24.9% involved some level of injury (serious, minor, or possible). There were 6 crashes classified as fatal, and these crashes collectively resulted in 8 fatalities. It is important to note that the number of fatal crashes may differ from the number of fatalities, as a single crash can involve multiple deaths.

Severity is per crash event (most severe injury). 6 fatal crash events resulted in 8 persons killed.

Outcome by Severity (Crash Events)

Fatal6fatal crashes0.4%
Serious Injury46serious injury crashes3.1%
Minor Injury152minor injury crashes10.3%
Possible Injury170possible injury crashes11.5%
No Injury1,103no injury crashes74.7%

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 Elyria occurred under favorable conditions, with 60.3% happening in clear weather, 77.5% on dry road surfaces, and 67.3% during daylight. Adverse conditions also contributed to a notable number of incidents, including 145 crashes in rain, 64 in snow, 241 on wet roads, and 393 in dark conditions.

Weather

Clear891 (60.3%)
Cloudy365 (24.7%)
Rain145 (9.8%)
Snow64 (4.3%)
Other/Unknown6 (0.4%)
Sleet; Hail3 (0.2%)
Freezing Rain or Freezing Drizzle2 (0.1%)
Fog; Smog; Smoke1 (0.1%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Weather condition at time of crash

Lighting

Daylight994 (67.3%)
Dark - Lighted Roadway306 (20.7%)
Dark - Roadway Not Lighted87 (5.9%)
Dawn/Dusk78 (5.3%)
Dark - Unknown Roadway Lighting8 (0.5%)
Other/Unknown4 (0.3%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Lighting condition field

Road Surface

Dry1,144 (77.5%)
Wet241 (16.3%)
Snow59 (4.0%)
Ice28 (1.9%)
Other/Unknown4 (0.3%)
Water (Standing; Moving)1 (0.1%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Road surface condition field

Vehicles & Demographics

Among the 2,748 vehicles involved in crashes, individuals aged 26-34 were the most represented age group with 563 persons. The most frequently involved vehicle makes were Ford, with 549 vehicles, and Chevrolet, with 418 vehicles. Passenger cars constituted the largest vehicle type involved, accounting for 1,352 incidents.

Top Vehicle Makes (2,748 vehicles)

1
FORD549 (20%)
2
CHEVROLET418 (15.2%)
3
HONDA149 (5.4%)
4
DODGE148 (5.4%)
5
TOYOTA143 (5.2%)
6
KIA136 (4.9%)
7
NISSAN120 (4.4%)
8
JEEP101 (3.7%)
9
HYUNDAI92 (3.3%)
10
GMC80 (2.9%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records

214 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (3,372 persons with recorded sex)

Male1,774 (52.6%)
Female1,598 (47.4%)

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, 1,287, occurred on the roadway itself. However, 135 crashes, representing 9.1% of all incidents, took place off the main travel lanes, specifically on the roadside, shoulder, or in the median. This indicates a notable proportion of run-off-road incidents.

Crash Location (First Harmful Event)

"Other" combines 4 smaller categories (14 records): Toll Booth (8), Driveway/Alley access (3), Bike Lane (2), Crossover (1).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records

Driver Contributing Factor

The most frequent contributing factor among vehicles involved in crashes was 'Following too Close / ACDA,' accounting for 492 instances, or 17.9% of all vehicles. 'Other Improper Action' was noted in 152 instances (5.5% of vehicles), followed closely by 'Failure to Yield' with 148 instances (5.4% of vehicles).

Driver Contributing Factor

1
Following too Close / ACDA492 (35.1%)
2
Other Improper Action152 (10.8%)
3
Failure to Yield148 (10.5%)
4
Drove off Road98 (7%)
5
Improper Lane Change95 (6.8%)
6
Ran Red Light76 (5.4%)
7
Improper Backing76 (5.4%)
8
Unsafe Speed51 (3.6%)
9
Left of Center45 (3.2%)

Showing top 9 of 20 reported. 11 additional (170 total) not shown: Improper Turn, Improper Passing, Ran Stop Sign, Swerving to Avoid, Not Discernible, Operating Defective Equipment, Load shifting/Falling/Spilling, Improper Start From a Parked Position, Wrong Way, Improper Crossing, Stopped or Parked Illegally.

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 86 commercial vehicles were involved in crashes, representing 3.13% of all vehicles. This included 57 semi-tractor trailers and 29 other commercial vehicles.

Vulnerable Road Users & Motorcycles

A total of 18 crashes involved vulnerable road users, specifically pedestrians and bicyclists. This accounts for 1.22% of all crashes in Elyria. There were 12 pedestrian crashes and 6 bicycle crashes.

Animal-Involved Crashes

Animal-related crashes accounted for 40 incidents, representing 2.71% of all crashes. Of these, 38 involved deer, with 2 involving other types of animals.

Impairment (Alcohol / Drugs)

Impairment was a factor in 115 crashes, making up 7.79% of all incidents. Alcohol was cited in 77 instances, drugs in 26, and both alcohol and drugs in 12 crashes.

Driver Condition

Abnormal driver conditions were reported for 121 drivers, accounting for 4.66% of all drivers involved in crashes. This included 85 instances of drivers being under the influence of medications, drugs, or alcohol, and 12 instances of drivers falling asleep, fainting, or being fatigued.

Driver Condition

1
Apparently Normal2,261 (92.7%)
2
Under the Influence of Medications / Drugs / Alcohol85 (3.5%)
3
Other/Unknown57 (2.3%)
4
Fell Asleep; Fainted; Fatigued; etc.12 (0.5%)
5
Physical Impairment11 (0.5%)
6
Illness8 (0.3%)
7
Emotional (E.G.; Depressed; Angry; Disturbed)5 (0.2%)

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 60 instances, representing 2.31% of all drivers involved in crashes. The most common specific distractions included other distractions inside the vehicle (29 instances) and other distractions outside the vehicle (12 instances).

Driver Distraction

1
Not Distracted2,295 (94.1%)
2
Other/Unknown84 (3.4%)
3
Other distraction inside the vehicle29 (1.2%)
4
Other distraction outside the vehicle12 (0.5%)
5
Passenger7 (0.3%)
6
Manually operating an electronic communication device (texting; typing; dialing)6 (0.2%)
7
Other activity with an electronic device5 (0.2%)
8
Talking on hand-held communication device1

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

A total of 126 crashes, or 8.53% of all incidents, occurred on curves in the roadway. Additionally, 127 crashes, or 8.60%, took place on road sections with a grade. These alignments can elevate crash risk.

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 for vehicles was proceeding 'Straight Ahead,' accounting for 1,380 instances, or 50.2% of vehicles. 'Slowing or Stopped In Traffic' was the second most frequent action, with 601 instances (21.9%), followed by 'Making Left Turn' in 187 instances (6.8%).

Pre-Crash Driver Action

1
Straight Ahead1,380 (50.2%)
2
Slowing or Stopped In Traffic601 (21.9%)
3
Making Left Turn187 (6.8%)
4
Parked138 (5%)
5
Making Right Turn93 (3.4%)
6
Backing86 (3.1%)
7
Changing Lanes85 (3.1%)
8
Negotiating a Curve47 (1.7%)
9
Other/Unknown43 (1.6%)

Showing top 9 of 16 reported. 7 additional (88 total) not shown: Entering Traffic Lane, Overtaking/Passing, Leaving Traffic Lane, Walking; Running; Jogging; Playing, Making U-Turn, Standing, 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

Rear-end collisions were the most prevalent manner of collision, making up 34% of all crashes with 502 incidents. Crashes not involving two vehicles in transport, such as single-vehicle incidents, accounted for 30% of the total. Angle collisions represented 19.7% of crashes.

Manner of Collision

"Other" combines 2 smaller categories (5 records): Other/Unknown (3), Rear-to-rear (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 dominant vehicle type involved in crashes, accounting for 1,352 instances. Commercial and heavy vehicles, including semi-tractors, cargo vans, and single unit trucks, collectively represented 161 vehicles, or 5.86% of all vehicles involved.

Vehicle Type

"Other" combines 12 smaller categories (113 records): Single Unit Truck (32), Motorcycle 2 Wheeled (32), Other Vehicle (16), Pedestrian/Skater (12), Bus (16+ Passengers) (7), Bicycle (6), Van (9-15 Seats) (3), Motorhome (1), Moped or Motorized Bicycle (1), Limo (Livery Vehicle) (1), Heavy Equipment (1), All Terrain Vehicle (ATV/UTV) (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, accounting for 2,598 individuals, or 73.2% of all persons. Occupants made up 26.5% with 939 individuals, while pedestrians represented 0.3% with 12 individuals.

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 all persons involved in crashes, 0.23% sustained fatal injuries, totaling 8 individuals. A combined 14.6% of persons, or 518 individuals, sustained some level of injury (serious, minor, or possible). The majority of individuals, 2,862, sustained no 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

Among the 3,537 participants for whom safety equipment use was recorded, 206 individuals, or 5.82%, were noted as using no safety equipment. The most common form of safety equipment used was a shoulder and lap belt, recorded for 2,873 participants.

Occupant Safety Equipment

"Other" combines 3 smaller categories (22 records): Helmet Used (12), Shoulder Belt Only Used (9), Lighting - Pedestrian / Bicycle Only (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 involved two vehicles, totaling 1,118 incidents. Single-vehicle crashes accounted for 289 incidents, representing 19.57% of all crashes. There were also 70 multi-vehicle crashes involving three or more 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: Elyria, OH
  • Total crash records analyzed: 1,477
  • Total persons involved: 3,549
  • Total vehicles involved: 2,748

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). "Elyria, 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/elyria/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

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