Yearly Traffic Safety Analysis

656 CRASHES IN
DOVER, OH
2021

In 2021, Dover experienced 656 crashes, resulting in 5 fatalities and 186 injuries. A notable finding is that 78.5% of crashes resulted in no injury, while 21.0% involved some level of injury.

656

Total Crash Events

5

Persons Killed

186

Persons Injured

11.9%

Hit-and-Run Rate

Note: "Persons Killed" (5) counts individual fatalities across all crash events. "Fatal" in the severity table below (3) 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

78

Hit-and-Run Crashes — 2021

In 2021, Dover recorded 78 hit-and-run crashes, representing 11.9% of all crashes. The determination of a crash as a hit-and-run is based on the initial assessment by the responding officer.

Vulnerable Road User Casualties

In 2021, motorists accounted for all 5 fatalities and 185 injuries in crashes. One pedestrian was injured, while no pedestrians or cyclists were killed. There were no reported injuries to cyclists.

0

Pedestrians Killed

5

Motorists Killed

1

Pedestrians Injured

185

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 a peak in incidents on Tuesdays, with 110 crashes, and during the 2 PM hour, with 53 crashes. The majority of crashes, 388, occurred during daylight hours, while 231 crashes occurred during dark conditions (157 on unlighted roadways and 74 on lighted 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

In 2021, 78.5% of crashes in Dover resulted in no injuries, totaling 515 incidents. Injury-involved crashes, encompassing serious, minor, and possible injuries, accounted for 21.0% of the total. There were 3 fatal crash events, which resulted in 5 individual fatalities.

Severity is per crash event (most severe injury). 3 fatal crash events resulted in 5 persons killed.

Outcome by Severity (Crash Events)

Fatal3fatal crashes0.5%
Serious Injury14serious injury crashes2.1%
Minor Injury84minor injury crashes12.8%
Possible Injury40possible injury crashes6.1%
No Injury515no injury crashes78.5%

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 2021 occurred under optimal conditions: 61.1% (401 crashes) in clear weather, 81.5% (535 crashes) on dry road surfaces, and 59.1% (388 crashes) during daylight hours. Conversely, 69 crashes occurred during adverse weather conditions such as rain, snow, fog, or sleet, and 116 crashes occurred on wet, snowy, or icy road surfaces.

Weather

Clear401 (61.1%)
Cloudy182 (27.7%)
Rain45 (6.9%)
Snow19 (2.9%)
Other/Unknown4 (0.6%)
Fog; Smog; Smoke3 (0.5%)
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

Daylight388 (59.1%)
Dark - Roadway Not Lighted157 (23.9%)
Dark - Lighted Roadway74 (11.3%)
Dawn/Dusk32 (4.9%)
Other/Unknown3 (0.5%)
Dark - Unknown Roadway Lighting2 (0.3%)

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

Road Surface

Dry535 (81.6%)
Wet88 (13.4%)
Snow19 (2.9%)
Ice9 (1.4%)
Other/Unknown5 (0.8%)

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

Vehicles & Demographics

Analysis of vehicle makes involved in crashes shows Ford (188), Chevrolet (164), and Honda (122) as the most frequent. Among persons involved, the 26-34 age group had the highest representation with 199 individuals, followed by the 65+ age group with 187 individuals.

Top Vehicle Makes (1,036 vehicles)

1
FORD188 (18.1%)
2
CHEVROLET164 (15.8%)
3
HONDA122 (11.8%)
4
TOYOTA73 (7%)
5
DODGE59 (5.7%)
6
NISSAN43 (4.2%)
7
GMC42 (4.1%)
8
JEEP40 (3.9%)
9
KIA23 (2.2%)
10
CHRYSLER22 (2.1%)

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

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

Sex Distribution (1,298 persons with recorded sex)

Male730 (56.2%)
Female568 (43.8%)

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, 490 incidents, occurred on the roadway itself. However, a significant portion, 154 crashes (23.5%), occurred off the primary travel lanes, including on the roadside (123), on the shoulder (19), in the median (4), and outside the trafficway (8).

Crash Location (First Harmful Event)

"Other" combines 1 smaller categories (1 records): 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

The most frequent traffic control condition at crash locations was 'No Control', accounting for 756 incidents. Crashes at signalized intersections (Signal) totaled 199, while those at stop signs numbered 67. Overall, 73.4% of recorded traffic control instances were at uncontrolled locations, compared to 19.3% at signalized 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 most frequently cited contributing factors in crashes were 'Following too Close / ACDA' with 133 instances, 'Unsafe Speed' with 89 instances, and 'Drove off Road' with 54 instances. These factors represent 26.1%, 17.5%, and 10.6% respectively of explicitly identified contributing factors.

Driver Contributing Factor

1
Following too Close / ACDA133 (24.3%)
2
Unsafe Speed89 (16.2%)
3
Drove off Road54 (9.9%)
4
Failure to Yield53 (9.7%)
5
Other Improper Action38 (6.9%)
6
Improper Lane Change34 (6.2%)
7
Improper Backing29 (5.3%)
8
Improper Passing19 (3.5%)
9
Not Discernible17 (3.1%)

Showing top 9 of 19 reported. 10 additional (82 total) not shown: Improper Turn, Swerving to Avoid, Left of Center, Ran Red Light, Operating Defective Equipment, Ran Stop Sign, Load shifting/Falling/Spilling, Improper Crossing, Opening Door into Roadway, 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 totaled 58 incidents, representing 8.8% of all crashes. Of these, 32 involved Semi-Tractor Trailers and 26 involved other types of commercial vehicles.

Vulnerable Road Users & Motorcycles

Crashes involving vulnerable road users or motorcycles totaled 15 incidents, representing 2.3% of all crashes. This includes 12 motorcyclist-involved crashes and 3 pedestrian-involved crashes. There were no reported crashes involving bicyclists.

Animal-Involved Crashes

Animal-strike crashes accounted for 115 incidents, representing 17.5% of all crashes. The vast majority of these, 109 incidents, involved deer, with 6 incidents involving other types of animals.

Impairment (Alcohol / Drugs)

Impairment was a factor in 52 crashes, representing 7.9% of all incidents. Alcohol was cited in 36 of these crashes, while drugs were a factor in 7, and a combination of alcohol and drugs in 9.

Driver Condition

Among drivers involved in crashes, 65 instances of abnormal conditions were reported. This included 42 drivers under the influence of medications, drugs, or alcohol, 16 drivers who fell asleep, fainted, or were fatigued, and 4 drivers with physical impairments. These abnormal conditions collectively represent 6.6% of all recorded driver conditions.

Driver Condition

1
Apparently Normal853 (87.9%)
2
Other/Unknown52 (5.4%)
3
Under the Influence of Medications / Drugs / Alcohol42 (4.3%)
4
Fell Asleep; Fainted; Fatigued; etc.16 (1.6%)
5
Physical Impairment4 (0.4%)
6
Illness2 (0.2%)
7
Emotional (E.G.; Depressed; Angry; Disturbed)1 (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

Driver Distraction

Driver distraction was identified in 54 instances. The most common specific distractions included 'Other distraction inside the vehicle' (21), 'Other distraction outside the vehicle' (12), and 'Other activity with an electronic device' (9). These identified distractions account for 5.5% of all recorded driver conditions.

Driver Distraction

1
Not Distracted868 (90.6%)
2
Other/Unknown36 (3.8%)
3
Other distraction inside the vehicle21 (2.2%)
4
Other distraction outside the vehicle12 (1.3%)
5
Other activity with an electronic device9 (0.9%)
6
Manually operating an electronic communication device (texting; typing; dialing)6 (0.6%)
7
Passenger4 (0.4%)
8
Talking on hand-held communication device1 (0.1%)
9
Talking on hands-free 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

The majority of crashes, 486, occurred on straight level roadways. However, 12.0% (79 crashes) occurred on curves (42 on curve level, 37 on curve grade), and 19.5% (128 crashes) occurred on grades (91 on straight grade, 37 on curve grade), indicating elevated risk in these 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 crashing, the most common driver actions were proceeding 'Straight Ahead' (567 instances), 'Slowing or Stopped In Traffic' (144 instances), and 'Making Left Turn' (69 instances). These actions represent 52.8%, 13.4%, and 6.4% respectively of recorded pre-crash actions.

Pre-Crash Driver Action

1
Straight Ahead567 (54.7%)
2
Slowing or Stopped In Traffic144 (13.9%)
3
Making Left Turn69 (6.7%)
4
Negotiating a Curve68 (6.6%)
5
Parked45 (4.3%)
6
Backing34 (3.3%)
7
Making Right Turn31 (3%)
8
Changing Lanes31 (3%)
9
Overtaking/Passing15 (1.4%)

Showing top 9 of 17 reported. 8 additional (32 total) not shown: Other/Unknown, Entering Traffic Lane, Leaving Traffic Lane, Walking; Running; Jogging; Playing, Driverless, Entering or Crossing Specified Location, Making U-Turn, 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 frequent manner of collision was 'Not Collision Between Two Vehicles in Transport', accounting for 321 crashes or 48.9% of the total. Rear-end collisions were the next most common, with 128 incidents (19.5%), followed by angle collisions at 103 incidents (15.7%).

Manner of Collision

"Other" combines 2 smaller categories (10 records): Other/Unknown (6), Rear-to-rear (4).

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, accounting for 447 out of 1036 total vehicles. Sport Utility Vehicles (273) and Pick up trucks (163) were also prominent. Commercial vehicles, including Semi-Tractors, Single Unit Trucks, and Cargo Vans, collectively represented 60 vehicles or 5.8% of all vehicles involved.

Vehicle Type

"Other" combines 7 smaller categories (36 records): Motorcycle 2 Wheeled (12), Cargo Van (12), Other Vehicle (4), Van (9-15 Seats) (3), Pedestrian/Skater (3), Moped or Motorized Bicycle (1), Farm Equipment (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 988 individuals, representing 73.2% of all persons. Occupants accounted for 359 individuals (26.6%), while pedestrians were involved in 3 instances. No cyclists were recorded in this dataset.

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 1350 persons involved in crashes, 5 individuals sustained fatal injuries, representing 0.4% of all persons. An additional 186 persons sustained injuries of varying severity (16 serious, 107 minor, 63 possible), accounting for 13.8% of all persons. The majority, 1124 individuals, 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

The predominant safety equipment usage reported was 'Shoulder and Lap Belt Used', with 1116 instances. However, 'None Used' was reported for 68 individuals, representing 5.4% of those with known safety equipment status. Child restraint systems were used in 42 instances (28 forward-facing, 14 rear-facing).

Occupant Safety Equipment

"Other" combines 2 smaller categories (8 records): Shoulder Belt Only Used (5), Lap Belt Only 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

Single-vehicle crashes accounted for 290 incidents, representing 44.2% of all crashes. Two-vehicle crashes were the most common, totaling 353 incidents or 53.8%. A small number of multi-vehicle incidents involved three vehicles (12 crashes) or four vehicles (1 crash).

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: Dover, OH
  • Total crash records analyzed: 656
  • Total persons involved: 1,350
  • Total vehicles involved: 1,036

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). "Dover, 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/dover/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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