Yearly Traffic Safety Analysis

523 CRASHES IN
AMHERST, OH
2021

In 2021, Amherst, OH experienced 523 crashes, resulting in 2 fatalities and 161 injuries. A significant majority of crashes, 80.3%, resulted in no injuries. The highest number of crashes occurred on Fridays, with 89 incidents.

523

Total Crash Events

2

Persons Killed

161

Persons Injured

10.1%

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

53

Hit-and-Run Crashes — 2021

Amherst recorded 53 hit-and-run crashes in 2021, accounting for 10.1% of all crashes. This figure is based on the initial determination made by the responding officer at the scene.

Vulnerable Road User Casualties

In 2021, motorists accounted for all 2 fatalities and 158 injuries. Pedestrians experienced 3 injuries, with no pedestrian fatalities recorded. There were no reported fatalities or injuries among cyclists in this period.

0

Pedestrians Killed

2

Motorists Killed

3

Pedestrians Injured

158

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 the highest number of crashes, 89, occurred on Fridays. The peak hour for crashes was 3 PM, with 48 incidents. A majority of crashes, 66.3%, occurred during daylight hours, while 150 crashes happened during 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

The majority of crashes in Amherst during 2021, 80.3%, resulted in no injuries. Crashes involving any injury (possible, minor, serious) accounted for 19.7% of the total. There were 2 fatal crash events, which resulted in 2 total fatalities.

Outcome by Severity (Crash Events)

Fatal2fatal crashes0.4%
Serious Injury11serious injury crashes2.1%
Minor Injury43minor injury crashes8.2%
Possible Injury47possible injury crashes9%
No Injury420no injury crashes80.3%

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 2021 occurred under favorable conditions, with 64.2% happening in clear weather, 80.3% on dry road surfaces, and 66.3% during daylight. Adverse conditions were present in 45 crashes during rain, 23 during snow, 81 on wet roads, and 20 on snowy roads.

Weather

Clear336 (64.2%)
Cloudy115 (22.0%)
Rain45 (8.6%)
Snow23 (4.4%)
Other/Unknown1 (0.2%)
Freezing Rain or Freezing Drizzle1 (0.2%)
Severe Crosswinds1 (0.2%)
Sleet; Hail1 (0.2%)

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

Lighting

Daylight347 (66.3%)
Dark - Lighted Roadway75 (14.3%)
Dark - Roadway Not Lighted73 (14.0%)
Dawn/Dusk26 (5.0%)
Dark - Unknown Roadway Lighting2 (0.4%)

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

Road Surface

Dry420 (80.3%)
Wet81 (15.5%)
Snow20 (3.8%)
Ice1 (0.2%)
Other/Unknown1 (0.2%)

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

Vehicles & Demographics

Among the persons involved in crashes, individuals aged 35-44 were most represented with 166 individuals, followed closely by those aged 65+ with 162 individuals. Ford vehicles were involved in 202 incidents, making them the most frequently appearing make, followed by Chevrolet with 117 involvements.

Top Vehicle Makes (911 vehicles)

1
FORD202 (22.2%)
2
CHEVROLET117 (12.8%)
3
HONDA60 (6.6%)
4
DODGE53 (5.8%)
5
TOYOTA47 (5.2%)
6
KIA40 (4.4%)
7
JEEP36 (4%)
8
NISSAN35 (3.8%)
9
HYUNDAI33 (3.6%)
10
FREIGHTLINER29 (3.2%)

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

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

Sex Distribution (1,160 persons with recorded sex)

Male649 (55.9%)
Female511 (44.1%)

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, 424, occurred directly on the roadway. Crashes occurring off the travel lanes, including on the roadside (36), on the shoulder (14), and in the median (4), collectively accounted for 54 incidents, representing 10.3% of all crashes.

Crash Location (First Harmful Event)

"Other" combines 1 smaller categories (2 records): Toll Booth (2).

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

Traffic Control Device

The dominant traffic control type associated with crashes was "No Control," accounting for 574 instances. Signalized locations were associated with 275 incidents, while uncontrolled locations (No Control, Stop Sign, Yield Sign, Flasher) collectively accounted for 634 instances.

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 factors were "Following too Close / ACDA" with 119 instances, "Failure to Yield" with 83 instances, and "Drove off Road" with 46 instances. "Improper Lane Change" and "Improper Turn" were also significant, with 42 and 31 instances respectively.

Driver Contributing Factor

1
Following too Close / ACDA119 (25.5%)
2
Failure to Yield83 (17.8%)
3
Drove off Road46 (9.9%)
4
Improper Lane Change42 (9%)
5
Improper Turn31 (6.6%)
6
Improper Backing25 (5.4%)
7
Unsafe Speed24 (5.1%)
8
Other Improper Action23 (4.9%)
9
Not Discernible13 (2.8%)

Showing top 9 of 19 reported. 10 additional (61 total) not shown: Left of Center, Ran Red Light, Swerving to Avoid, Load shifting/Falling/Spilling, Improper Passing, Operating Defective Equipment, Improper Start From a Parked Position, Ran Stop Sign, Vision Obstruction, 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

Commercial vehicles were involved in 64 crashes in 2021, representing 12.2% of all crashes. Of these, 53 involved Semi-Tractor Trailers and 11 involved Other Commercial Vehicles.

Vulnerable Road Users & Motorcycles

Crashes involving vulnerable road users included 3 pedestrians and 1 bicyclist, totaling 4 incidents. These combined pedestrian and bicyclist crashes represent approximately 0.76% of all crashes.

Animal-Involved Crashes

Animal-related crashes accounted for 55 incidents in 2021, representing 10.5% of all crashes. Deer strikes were the predominant type, involved in 53 of these incidents, with 2 involving other animals.

Impairment (Alcohol / Drugs)

Impairment was identified in 23 crashes, accounting for 4.4% of all incidents. Alcohol was a factor in 17 crashes, while drugs alone were a factor in 3 crashes, and both alcohol and drugs were present in 3 crashes.

Driver Condition

Abnormal driver conditions were noted in 27 instances. These included 14 drivers reported as "Under the Influence of Medications / Drugs / Alcohol," 6 with "Physical Impairment," and 5 who "Fell Asleep; Fainted; Fatigued; etc."

Driver Condition

1
Apparently Normal802 (94.2%)
2
Other/Unknown22 (2.6%)
3
Under the Influence of Medications / Drugs / Alcohol14 (1.6%)
4
Physical Impairment6 (0.7%)
5
Fell Asleep; Fainted; Fatigued; etc.5 (0.6%)
6
Illness2 (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 25 instances. The most common identified distraction was "Other distraction inside the vehicle" with 15 instances, followed by "Manually operating an electronic communication device" with 4 instances.

Driver Distraction

1
Not Distracted796 (93.9%)
2
Other/Unknown27 (3.2%)
3
Other distraction inside the vehicle15 (1.8%)
4
Manually operating an electronic communication device (texting; typing; dialing)4 (0.5%)
5
Other distraction outside the vehicle3 (0.4%)
6
Other activity with an electronic device2 (0.2%)
7
Talking on hand-held communication device1 (0.1%)

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 8.6% of crashes occurred on curves (45 incidents), and 7.6% occurred on grades (40 incidents). The majority of crashes 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 frequent pre-crash action reported was "Straight Ahead" with 457 instances, representing 50.55% of identified actions. "Slowing or Stopped In Traffic" was the second most common, with 162 instances. "Making Left Turn" accounted for 82 instances.

Pre-Crash Driver Action

1
Straight Ahead457 (50.2%)
2
Slowing or Stopped In Traffic162 (17.8%)
3
Making Left Turn82 (9%)
4
Changing Lanes42 (4.6%)
5
Making Right Turn39 (4.3%)
6
Parked38 (4.2%)
7
Backing29 (3.2%)
8
Entering Traffic Lane25 (2.7%)
9
Negotiating a Curve19 (2.1%)

Showing top 9 of 17 reported. 8 additional (18 total) not shown: Other/Unknown, Overtaking/Passing, Making U-Turn, Entering or Crossing Specified Location, Other Non-Motorist, Walking; Running; Jogging; Playing, Leaving Traffic Lane, Standing.

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

Manner of Collision

The most common manner of collision was "Not Collision Between Two Vehicles in Transport," accounting for 34% of crashes. Rear-end collisions were the second most frequent at 25%, followed by angle collisions at 22%.

Manner of Collision

"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

Vehicle Type

Passenger cars were the dominant vehicle type involved in crashes, accounting for 387 vehicles or 42.48% of all vehicles. Commercial or heavy vehicles, including Semi-Tractors, Single Unit Trucks, Cargo Vans, and Buses, collectively accounted for 100 vehicles, representing 10.98% of all vehicles.

Vehicle Type

"Other" combines 11 smaller categories (34 records): Single Unit Truck (10), Motorcycle 2 Wheeled (7), Van (9-15 Seats) (4), Other Vehicle (4), Pedestrian/Skater (3), Motorhome (1), Moped or Motorized Bicycle (1), Heavy Equipment (1), Farm 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 870 individuals or 73% of the total. Occupants accounted for 319 individuals (26.7%), while pedestrians represented 3 individuals (0.25%).

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 1192 persons involved, 2 fatalities were recorded, representing 0.17%. A total of 161 persons sustained injuries (serious, minor, or possible), accounting for 13.5% of all 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

Among those for whom safety equipment use was recorded, 1025 individuals used shoulder and lap belts. A total of 54 individuals were recorded as using no safety equipment, representing 4.7% of those with recorded equipment use.

Occupant Safety Equipment

"Other" combines 2 smaller categories (6 records): Lap Belt Only Used (3), Helmet Used (3).

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, 362 incidents, involved two vehicles, accounting for 69.2% of all crashes. Single-vehicle crashes represented 148 incidents, or 28.3% of the total.

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 5, 2026

Data Coverage

  • Reporting period: 2021-01-01 through 2021-12-31 (365 days)
  • Geographic scope: Amherst, OH
  • Total crash records analyzed: 523
  • Total persons involved: 1,192
  • Total vehicles involved: 911

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). "Amherst, 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/amherst/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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Amherst, OH Crash Report — 2021 | ThatCarHitMe.com