Monthly Traffic Safety Analysis

25,672 CRASHES IN
OHIO, OH
NOVEMBER 2021

In November 2021, Ohio recorded 25,672 motor vehicle crashes, resulting in 124 fatalities and 8,200 injuries. These incidents involved 55,661 people and 44,244 vehicles. A notable finding from this period is the high number of animal-related collisions, with 4,253 crashes attributed to animal strikes, accounting for over 16% of all crashes statewide.

25,672

Total Crash Events

124

Persons Killed

8,200

Persons Injured

15.9%

Hit-and-Run Rate

Note: "Persons Killed" (124) counts individual fatalities across all crash events. "Fatal" in the severity table below (109) 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 · 2021-11-01 to 2021-11-30 · Aggregate counts from crash, person, and vehicle records

4,086

Hit-and-Run Crashes — November 2021

During this period, 4,086 crashes were classified as hit-and-run incidents, constituting 15.9% of all total crashes. This designation is based on the initial determination made by the responding law enforcement officer at the scene of the collision.

Vulnerable Road User Casualties

Motorists comprised the largest group of individuals killed or seriously injured, with 100 fatalities and 7,992 injuries. Pedestrians represented a significant share of fatalities, with 24 individuals killed and another 208 injured. According to the data, no bicyclists were killed or injured during this period, despite 69 crashes involving bicycles.

24

Pedestrians Killed

100

Motorists Killed

208

Pedestrians Injured

7,992

Motorists Injured

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-11-01 to 2021-11-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

Crash frequency peaked on Mondays, which recorded 4,577 incidents. The single busiest hour for crashes was the 5 p.m. evening commute hour, with 2,303 events. While crashes were concentrated during commute times, a plurality of incidents (12,548, or 48.9%) occurred in daylight conditions, compared to 11,163 in dark conditions and 1,735 during dawn or dusk.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-11-01 to 2021-11-30 · Crash date field aggregated by weekday

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-11-01 to 2021-11-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The majority of crashes (19,802, or 77.1%) resulted in no injuries and were classified as property damage only. Collisions involving injuries accounted for 22.5% of the total, spread across possible (9.7%), minor (10.9%), and serious (1.9%) injury severities. A total of 109 crashes were fatal, representing 0.4% of all incidents and resulting in 124 total fatalities.

Severity is per crash event (most severe injury). 109 fatal crash events resulted in 124 persons killed.

Outcome by Severity (Crash Events)

Fatal109fatal crashes0.4%
Serious Injury491serious injury crashes1.9%
Minor Injury2,786minor injury crashes10.9%
Possible Injury2,484possible injury crashes9.7%
No Injury19,802no injury crashes77.1%

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-11-01 to 2021-11-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-11-01 to 2021-11-30 · Most severe injury per crash record

Road & Environmental Conditions

A majority of crashes occurred in ideal driving conditions. Analysis shows that 78.8% of crashes (20,231) happened on dry road surfaces, and 62.1% (15,935) occurred in clear weather. Adverse conditions were less frequent, with 4,133 crashes on wet roads, 2,095 in rain, and 1,216 during snow.

Weather

Clear15,935 (62.1%)
Cloudy5,941 (23.1%)
Rain2,095 (8.2%)
Snow1,216 (4.7%)
Other/Unknown263 (1.0%)
Sleet; Hail82 (0.3%)
Fog; Smog; Smoke71 (0.3%)
Freezing Rain or Freezing Drizzle53 (0.2%)
Blowing Sand; Soil; Dirt; Snow8 (0.0%)
Severe Crosswinds8 (0.0%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-11-01 to 2021-11-30 · Weather condition at time of crash

Lighting

Daylight12,548 (48.9%)
Dark - Lighted Roadway5,634 (21.9%)
Dark - Roadway Not Lighted5,371 (20.9%)
Dawn/Dusk1,735 (6.8%)
Other/Unknown226 (0.9%)
Dark - Unknown Roadway Lighting158 (0.6%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-11-01 to 2021-11-30 · Lighting condition field

Road Surface

Dry20,231 (78.8%)
Wet4,133 (16.1%)
Snow647 (2.5%)
Ice368 (1.4%)
Other/Unknown184 (0.7%)
Slush78 (0.3%)
Water (Standing; Moving)16 (0.1%)
Sand; Mud; Dirt; Oil; Gravel15 (0.1%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-11-01 to 2021-11-30 · Road surface condition field

Vehicles & Demographics

Among the 55,661 people involved in crashes, the 26-34 age group was the most represented, with 8,819 individuals. An analysis of the 44,244 vehicles involved shows that the most frequent makes were Chevrolet (6,690 vehicles), Ford (6,219 vehicles), and Honda (3,786 vehicles).

Top Vehicle Makes (44,244 vehicles)

1
CHEVROLET6,690 (15.1%)
2
FORD6,219 (14.1%)
3
HONDA3,786 (8.6%)
4
TOYOTA3,333 (7.5%)
5
DODGE2,292 (5.2%)
6
NISSAN2,028 (4.6%)
7
JEEP1,817 (4.1%)
8
KIA1,667 (3.8%)
9
HYUNDAI1,661 (3.8%)
10
GMC1,222 (2.8%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-11-01 to 2021-11-30 · Vehicle unit records

3,917 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (52,641 persons with recorded sex)

Male28,440 (54.0%)
Female24,201 (46.0%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-11-01 to 2021-11-30 · Person-level records linked to crash events

Crash Location (First Harmful Event)

The vast majority of initial impacts, 21,960 crashes, occurred on the main roadway. However, a notable number of crashes began off the traveled lanes. These run-off-road incidents included 1,770 on the roadside, 788 on the shoulder, and 135 in the median, collectively accounting for 2,693 crashes, or 10.5% of the total.

Crash Location (First Harmful Event)

"Other" combines 8 smaller categories (208 records): On ramp (92), Driveway/Alley access (70), Toll Booth (15), On Gore (12), Railway grade crossing (9), Shared-use paths or trails (6), Crossover (3), Bike Lane (1).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-11-01 to 2021-11-30 · Crash-level records

Traffic Control Device

Data on vehicles involved in crashes shows that the largest number, 29,791, were at locations with no traffic control present. For crashes at controlled locations, 10,672 vehicles were at intersections with a traffic signal, and 2,900 were at locations with a stop sign.

Traffic Control Device

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-11-01 to 2021-11-30 · Vehicle unit records

Driver Contributing Factor

Among contributing factors assigned to drivers, 'Following too Close / ACDA' was the most cited, with 5,366 instances. This was followed by 'Failure to Yield' (3,258 instances) and 'Other Improper Action' (2,713 instances). Other leading factors included 'Drove off Road' (2,100 instances) and 'Improper Lane Change' (1,397 instances).

Driver Contributing Factor

1
Following too Close / ACDA5,366 (25.1%)
2
Failure to Yield3,258 (15.3%)
3
Other Improper Action2,713 (12.7%)
4
Drove off Road2,100 (9.8%)
5
Improper Lane Change1,397 (6.5%)
6
Unsafe Speed954 (4.5%)
7
Not Discernible884 (4.1%)
8
Improper Turn798 (3.7%)
9
Improper Backing719 (3.4%)

Showing top 9 of 23 reported. 14 additional (3,171 total) not shown: Ran Red Light, Left of Center, Improper Passing, Ran Stop Sign, Swerving to Avoid, Operating Defective Equipment, Improper Start From a Parked Position, Load shifting/Falling/Spilling, Improper Crossing, Wrong Way, Vision Obstruction, Stopped or Parked Illegally, Opening Door into Roadway, Lying in Roadway.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-11-01 to 2021-11-30 · Vehicle unit records

Commercial / Truck Involvement

A total of 1,832 commercial trucks were involved in crashes during this period. Of these, 1,067 were identified as semi-tractor trailers, while the remaining 765 were classified as other types of commercial vehicles.

Vulnerable Road Users & Motorcycles

Crashes involved 304 vulnerable road users, consisting of 235 pedestrians and 69 bicyclists. In addition, 97 motorcyclists were involved in crashes. These user groups are often associated with a higher risk of severe injury or fatality when involved in a collision.

Animal-Involved Crashes

Animal strikes were a significant factor in November, accounting for 4,253 crashes, or 16.6% of the statewide total. The vast majority of these incidents, 4,127 crashes, involved deer. The remaining 126 crashes involved other, unspecified types of animals.

Impairment (Alcohol / Drugs)

Impairment was a factor in 1,077 crashes, representing 4.2% of all incidents. Alcohol was the most common factor, cited in 782 crashes, while drugs were cited in 150 crashes, and a combination of alcohol and drugs was noted in 145 crashes. These figures represent a minimum, as impairment can be under-reported.

Driver Condition

Beyond normal driving, several adverse driver conditions were recorded. A total of 849 drivers were noted as being under the influence of medications, drugs, or alcohol. Other reported conditions included fatigue or falling asleep (244 drivers), physical impairment (172 drivers), and emotional distress (126 drivers).

Driver Condition

1
Apparently Normal36,347 (90%)
2
Other/Unknown2,535 (6.3%)
3
Under the Influence of Medications / Drugs / Alcohol849 (2.1%)
4
Fell Asleep; Fainted; Fatigued; etc.244 (0.6%)
5
Physical Impairment172 (0.4%)
6
Emotional (E.G.; Depressed; Angry; Disturbed)126 (0.3%)
7
Illness101 (0.3%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-11-01 to 2021-11-30 · Person-level records linked to crash events

Driver Distraction

Among drivers for whom a distraction was noted, the most common were 'other distraction inside the vehicle' (522 drivers) and 'other distraction outside the vehicle' (424 drivers). Use of an electronic device was a factor for at least 378 drivers, including 143 who were manually operating a device such as for texting.

Driver Distraction

1
Not Distracted35,577 (88.5%)
2
Other/Unknown3,238 (8.1%)
3
Other distraction inside the vehicle522 (1.3%)
4
Other distraction outside the vehicle424 (1.1%)
5
Other activity with an electronic device170 (0.4%)
6
Manually operating an electronic communication device (texting; typing; dialing)143 (0.4%)
7
Passenger58 (0.1%)
8
Talking on hand-held communication device46 (0.1%)
9
Talking on hands-free communication device19

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-11-01 to 2021-11-30 · Person-level records linked to crash events

Road Alignment

While most crashes occurred on straight and level roads, roadway geometry was a factor in a notable subset of incidents. Crashes on a grade (either straight or curved) accounted for 4,803 incidents (18.7% of total). Crashes on a curve (either level or graded) accounted for 2,444 incidents (9.5% of total).

Road Alignment

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-11-01 to 2021-11-30 · Crash-level records

Top Cities

The geographic distribution of crashes was concentrated in Ohio's major metropolitan areas. The top three municipalities by crash volume were Cincinnati (1,278 crashes), Cleveland (1,232 crashes), and Columbus (1,139 crashes). Combined, these three cities accounted for 3,649 crashes, or 14.2% of the statewide total.

Top Cities

1
Cincinnati1,278 (11%)
2
Cleveland1,232 (10.6%)
3
Columbus1,139 (9.8%)
4
Toledo852 (7.3%)
5
Akron623 (5.4%)
6
Dayton378 (3.3%)
7
Union (Township Of)317 (2.7%)
8
Jackson (Township Of)305 (2.6%)
9
Liberty (Township Of)289 (2.5%)

Showing top 9 of 50 reported. 41 additional (5,182 total) not shown: Springfield (Township Of), Washington (Township Of), Canton, Green (Township Of), Perry (Township Of), Springfield, Jefferson (Township Of), Miami (Township Of), Harrison (Township Of), Colerain (Township Of), Hamilton, Franklin (Township Of), Madison (Township Of), Youngstown, Elyria, Cuyahoga Falls, Mentor, Boardman (Township Of), Mansfield, Bath (Township Of), Lancaster, Zanesville, Fairfield, Green, Wayne (Township Of), Monroe (Township Of), Lorain, Findlay, West Chester (Township Of) Aka Union Township, Orange (Township Of), Beavercreek, Lima, Parma, Plain (Township Of), Garfield Heights, Clinton (Township Of), Sylvania (Township Of), Marion (Township Of), Norwood, Euclid, Reynoldsburg.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-11-01 to 2021-11-30 · Crash-level records

Pre-Crash Driver Action

The most common action by vehicles immediately prior to a crash was driving 'Straight Ahead,' recorded for 24,756 vehicles. The next most frequent pre-crash actions were 'Slowing or Stopped In Traffic' (6,206 vehicles) and 'Making Left Turn' (3,496 vehicles).

Pre-Crash Driver Action

1
Straight Ahead24,756 (56%)
2
Slowing or Stopped In Traffic6,206 (14%)
3
Making Left Turn3,496 (7.9%)
4
Parked2,081 (4.7%)
5
Changing Lanes1,482 (3.3%)
6
Making Right Turn1,319 (3%)
7
Negotiating a Curve1,272 (2.9%)
8
Other/Unknown1,034 (2.3%)
9
Backing924 (2.1%)

Showing top 9 of 20 reported. 11 additional (1,674 total) not shown: Entering Traffic Lane, Overtaking/Passing, Leaving Traffic Lane, Walking; Running; Jogging; Playing, Driverless, Making U-Turn, Entering or Crossing Specified Location, Other Non-Motorist, Standing, Standing Outside Disabled Vehicle, Working.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-11-01 to 2021-11-30 · Vehicle unit records

Manner of Collision

Single-vehicle crashes, categorized as 'Not Collision Between Two Vehicles in Transport,' were the most frequent type of incident, accounting for 10,018 crashes (39.0%). Among multi-vehicle crashes, rear-end collisions were the most common, with 5,632 incidents (21.9%), followed by angle collisions with 5,391 incidents (21.0%).

Manner of Collision

"Other" combines 2 smaller categories (529 records): Sideswipe; opposite direction (469), Rear-to-rear (60).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-11-01 to 2021-11-30 · Crash-level records

Vehicle Type

Passenger cars were the most common vehicle type involved in crashes, accounting for 22,154 of the 44,244 vehicles (50.1%). Sport Utility Vehicles were the second most common, with 10,772 units involved. Commercial vehicles, including 1,151 semi-tractors and 466 single-unit trucks, were also present in the crash data.

Vehicle Type

"Other" combines 19 smaller categories (1,649 records): Single Unit Truck (466), Bus (16+ Passengers) (255), Pedestrian/Skater (243), Other Vehicle (213), Van (9-15 Seats) (141), Motorcycle 2 Wheeled (96), Heavy Equipment (69), Bicycle (69), Farm Equipment (35), All Terrain Vehicle (ATV/UTV) (16), Animal with Rider or Animal Drawn Vehicle (12), Motorhome (10), Autocycle (5), Motorcycle 3 Wheeled (4), Moped or Motorized Bicycle (4), Train (3), Limo (Livery Vehicle) (3), Wheelchair (Any type) (3), Golf Cart (2).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-11-01 to 2021-11-30 · Vehicle unit records

Person Type

Of the 55,661 individuals involved in crashes, the majority were drivers, accounting for 41,793 people (75.1%). Passengers (occupants) made up the next largest group with 13,611 individuals (24.5%). A smaller but notable group consisted of 257 pedestrians.

Person Type

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-11-01 to 2021-11-30 · Crash-level records

Person Injury Severity

Among the 55,661 people involved in traffic incidents, 8,200 (14.7%) sustained an injury of some severity. A total of 124 individuals (0.22%) suffered fatal injuries. The vast majority of people involved, 45,621 individuals, were not injured.

Person Injury Severity

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-11-01 to 2021-11-30 · Crash-level records

Occupant Safety Equipment

Based on available data for 54,955 individuals, the use of safety equipment varied. While 44,412 people were reported to have used a shoulder and lap belt, a significant number, 2,804 individuals, were recorded as using no safety equipment at all. Another 990 were in a forward-facing child restraint system.

Occupant Safety Equipment

"Other" combines 4 smaller categories (313 records): Lap Belt Only Used (236), Helmet Used (71), Lighting - Pedestrian / Bicycle Only (5), Reflective Clothing (1).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-11-01 to 2021-11-30 · Person-level records linked to crash events

Vehicles Per Crash

Two-vehicle collisions were the most common crash configuration, accounting for 15,620 incidents (60.8% of the total). Single-vehicle crashes were the second most frequent type, with 8,713 incidents (33.9%). Crashes involving three or more vehicles were less common, representing 5.2% of all events.

Vehicles Per Crash

"Other" combines 1 smaller categories (1 records): 8 (1).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-11-01 to 2021-11-30 · 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: 2021-11-01 through 2021-11-30
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2021-11-01 through 2021-11-30 (30 days)
  • Geographic scope: ohio, OH
  • Total crash records analyzed: 25,672
  • Total persons involved: 55,661
  • Total vehicles involved: 44,244

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). "ohio, OH Crash Intelligence Report: November 2021." Published July 5, 2026. Reporting period: 2021-11-01 to 2021-11-30. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/november-2021-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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