Yearly Traffic Safety Analysis

3,661 CRASHES IN
OHIO, OH
2021

In 2021, Richland County recorded 3,661 traffic crashes, resulting in 14 fatalities and 1,225 injuries. A significant portion of these incidents, 45.2%, did not involve a collision between two vehicles in transport, often categorized as single-vehicle events. These incidents occurred across the county, with the highest concentration in the city of Mansfield.

3,661

Total Crash Events

14

Persons Killed

1,225

Persons Injured

15.1%

Hit-and-Run Rate

Note: "Persons Killed" (14) counts individual fatalities across all crash events. "Fatal" in the severity table below (14) 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

553

Hit-and-Run Crashes — 2021

In 2021, 553 crashes in Richland County were classified as hit-and-run incidents, accounting for 15.1% of all reported crashes. This classification is based on the initial determination made by the responding law enforcement officer at the scene of the collision.

Vulnerable Road User Casualties

In 2021, 11 motorists were killed and 1,206 were injured in Richland County crashes. Among vulnerable road users, 3 pedestrians were killed and 19 were injured. There were no cyclist fatalities or injuries reported in the dataset for this period.

3

Pedestrians Killed

11

Motorists Killed

19

Pedestrians Injured

1,206

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 patterns in Richland County show a clear weekly and daily rhythm. Fridays were the most frequent day for crashes with 621 incidents, and the afternoon commute hour of 3 p.m. was the daily peak with 297 crashes. Overall, crashes occurred most often during daylight hours, which accounted for 2,272 of the total incidents.

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 Richland County, 75.9% or 2,778 incidents, resulted in no injuries. Injury-involved crashes accounted for 23.7% of the total. There were 14 fatal crashes recorded, which resulted in 14 fatalities; it is important to note that the number of fatalities can be higher than the number of fatal crashes in events with multiple deaths.

Outcome by Severity (Crash Events)

Fatal14fatal crashes0.4%
Serious Injury84serious injury crashes2.3%
Minor Injury470minor injury crashes12.8%
Possible Injury315possible injury crashes8.6%
No Injury2,778no injury crashes75.9%

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 vast majority of crashes occurred in seemingly ideal driving conditions. Approximately 73.2% of crashes happened on dry roads (2,679 incidents), 58.7% in clear weather (2,151 incidents), and 62.1% during daylight hours (2,272 incidents). Crashes in adverse conditions were less frequent, with 388 occurring during rain and 692 on wet road surfaces.

Weather

Clear2,151 (58.8%)
Cloudy839 (22.9%)
Rain388 (10.6%)
Snow212 (5.8%)
Freezing Rain or Freezing Drizzle25 (0.7%)
Other/Unknown21 (0.6%)
Fog; Smog; Smoke16 (0.4%)
Sleet; Hail5 (0.1%)
Severe Crosswinds4 (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

Daylight2,272 (62.1%)
Dark - Roadway Not Lighted750 (20.5%)
Dark - Lighted Roadway409 (11.2%)
Dawn/Dusk184 (5.0%)
Other/Unknown34 (0.9%)
Dark - Unknown Roadway Lighting12 (0.3%)

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

Road Surface

Dry2,679 (73.2%)
Wet692 (18.9%)
Snow182 (5.0%)
Ice66 (1.8%)
Slush23 (0.6%)
Other/Unknown14 (0.4%)
Water (Standing; Moving)3 (0.1%)
Sand; Mud; Dirt; Oil; Gravel2 (0.1%)

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

Vehicles & Demographics

Analysis of individuals involved in crashes shows the 26-34 age group was the most represented, with 1,119 people. Regarding the vehicles involved, Chevrolet was the most frequent make with 1,177 vehicles, followed by Ford with 887 and Honda with 439. Passenger cars were the most common vehicle type, involved in 2,985 instances.

Top Vehicle Makes (6,003 vehicles)

1
CHEVROLET1,177 (19.6%)
2
FORD887 (14.8%)
3
HONDA439 (7.3%)
4
DODGE411 (6.8%)
5
TOYOTA355 (5.9%)
6
JEEP245 (4.1%)
7
NISSAN238 (4%)
8
KIA185 (3.1%)
9
HYUNDAI175 (2.9%)
10
BUICK167 (2.8%)

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

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

Sex Distribution (7,093 persons with recorded sex)

Male3,945 (55.6%)
Female3,148 (44.4%)

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 initial point of impact for most crashes, 2,861 incidents, occurred on the roadway itself. However, a notable number of crashes were run-off-road events, with a combined 742 incidents first occurring on the roadside, shoulder, or in the median. These off-roadway events represent 20.3% of all crashes in the county.

Crash Location (First Harmful Event)

"Other" combines 2 smaller categories (24 records): Other/Unknown (15), On ramp (9).

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

Traffic Control Device

Of all vehicle units involved in crashes, the majority (4,293) were at locations with no traffic control device present. A significant number of vehicles, 1,175, were involved in crashes at locations with a traffic signal. Crashes at intersections controlled by a stop sign involved 451 vehicle units.

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 commonly cited contributing factor for drivers in crashes was 'Following too Close / ACDA,' attributed to 664 vehicle units. The second most frequent factor was 'Failure to Yield,' noted for 475 units, followed by 'Unsafe Speed' for 436 units. These three factors represent the leading driver actions contributing to collisions in the county.

Driver Contributing Factor

1
Following too Close / ACDA664 (21.1%)
2
Failure to Yield475 (15.1%)
3
Unsafe Speed436 (13.9%)
4
Other Improper Action374 (11.9%)
5
Drove off Road230 (7.3%)
6
Improper Lane Change159 (5.1%)
7
Improper Backing130 (4.1%)
8
Left of Center125 (4%)
9
Not Discernible121 (3.8%)

Showing top 9 of 23 reported. 14 additional (431 total) not shown: Ran Red Light, Ran Stop Sign, Improper Turn, Swerving to Avoid, Improper Passing, Operating Defective Equipment, Load shifting/Falling/Spilling, Vision Obstruction, Improper Start From a Parked Position, Improper Crossing, Stopped or Parked Illegally, Wrong Way, Lying in Roadway, Opening Door into Roadway.

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

Commercial / Truck Involvement

Crashes in 2021 involved 310 commercial trucks. Of these, 193 were identified as semi-tractor trailers, while the remaining 117 were classified as other types of commercial vehicles. These incidents represent a key area of focus due to the potential severity of heavy truck collisions.

Vulnerable Road Users & Motorcycles

A total of 109 crashes involved vulnerable road users or motorcyclists. Motorcyclists were involved in 80 crashes, while pedestrians were involved in 23 and bicyclists in 6. Combined, crashes involving pedestrians and bicyclists accounted for 29 incidents, which are often associated with a higher risk of severe injury or fatality.

Animal-Involved Crashes

Animal-related collisions accounted for 516 crashes, representing 14.1% of all incidents in Richland County. The vast majority of these, 489 crashes, involved collisions with deer. An additional 27 crashes involved other types of animals.

Impairment (Alcohol / Drugs)

Impairment was a factor in 208 crashes, or 5.7% of the total for the year. Among these, alcohol was suspected in 150 incidents, drugs were suspected in 38, and a combination of alcohol and drugs was noted in 20. These figures represent a minimum, as impairment can be difficult to determine at the scene.

Driver Condition

Beyond 'Apparently Normal,' several driver conditions were noted at the time of crashes. 'Under the Influence of Medications / Drugs / Alcohol' was the most common adverse condition, recorded for 158 drivers. Other reported conditions included physical impairment (38 drivers) and instances of falling asleep or fatigue (36 drivers).

Driver Condition

1
Apparently Normal4,928 (90.1%)
2
Other/Unknown291 (5.3%)
3
Under the Influence of Medications / Drugs / Alcohol158 (2.9%)
4
Physical Impairment38 (0.7%)
5
Fell Asleep; Fainted; Fatigued; etc.36 (0.7%)
6
Emotional (E.G.; Depressed; Angry; Disturbed)12 (0.2%)
7
Illness9 (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

Among the 5,617 drivers involved in crashes, 204 were noted as being distracted. The most common distraction was an unspecified factor inside the vehicle, cited for 90 drivers. Manually operating an electronic device like a phone was noted for 21 drivers, while another 44 were distracted by something outside their vehicle.

Driver Distraction

1
Not Distracted4,848 (90.3%)
2
Other/Unknown315 (5.9%)
3
Other distraction inside the vehicle90 (1.7%)
4
Other distraction outside the vehicle44 (0.8%)
5
Other activity with an electronic device25 (0.5%)
6
Manually operating an electronic communication device (texting; typing; dialing)21 (0.4%)
7
Passenger14 (0.3%)
8
Talking on hand-held communication device10 (0.2%)
9
Talking on hands-free communication device2

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

While most crashes (2,371) occurred on straight and level road segments, a significant portion happened on roads with more challenging geometry. Crashes on grades accounted for 1,088 incidents, or nearly 29.7% of the total. An additional 356 crashes, representing 9.7%, occurred on curved sections of roadway.

Road Alignment

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

Top Cities

The geographic distribution of crashes within Richland County is concentrated in a few key areas. The City of Mansfield saw the highest number of incidents, with 1,404 crashes representing 38.3% of the county's total. Madison Township had the second-highest volume with 353 crashes (9.6%), followed by Washington Township with 276 crashes (7.5%).

Top Cities

1
Mansfield1,404 (38.4%)
2
Madison353 (9.6%)
3
Washington276 (7.5%)
4
Ontario259 (7.1%)
5
Mifflin204 (5.6%)
6
Springfield148 (4%)
7
Shelby108 (3%)
8
Jackson93 (2.5%)
9
Jefferson91 (2.5%)

Showing top 9 of 25 reported. 16 additional (725 total) not shown: Perry, Troy, Monroe, Plymouth, Lexington, Franklin, Worthington, Weller, Sharon, Sandusky, Cass, Bloominggrove, Butler, Bellville, Lucas, Shiloh.

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

Pre-Crash Driver Action

Analysis of vehicle actions prior to collision shows that the majority of units, 3,643 or 60.7%, were moving straight ahead. The second most common pre-crash action was slowing or being stopped in traffic, which applied to 731 vehicles (12.2%). Making a left turn was the third most frequent action, recorded for 452 vehicles.

Pre-Crash Driver Action

1
Straight Ahead3,643 (60.7%)
2
Slowing or Stopped In Traffic731 (12.2%)
3
Making Left Turn452 (7.5%)
4
Parked291 (4.8%)
5
Negotiating a Curve217 (3.6%)
6
Backing166 (2.8%)
7
Making Right Turn143 (2.4%)
8
Changing Lanes134 (2.2%)
9
Other/Unknown69 (1.1%)

Showing top 9 of 18 reported. 9 additional (157 total) not shown: Entering Traffic Lane, Overtaking/Passing, Leaving Traffic Lane, Walking; Running; Jogging; Playing, Driverless, Standing Outside Disabled Vehicle, Other Non-Motorist, Standing, Making U-Turn.

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 type of crash was a single-vehicle event, classified as 'Not Collision Between Two Vehicles in Transport,' which accounted for 1,656 incidents or 45.2% of the total. Among multi-vehicle crashes, angle collisions were the most frequent, with 754 incidents (20.6%), followed closely by rear-end collisions with 673 incidents (18.4%).

Manner of Collision

"Other" combines 2 smaller categories (45 records): Other/Unknown (36), Rear-to-rear (9).

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 common vehicle type involved in crashes, accounting for 2,985 of the 6,003 total units. Sport Utility Vehicles (SUVs) were the second most frequent with 1,258 units, followed by pickup trucks with 810 units. Commercial vehicles, including semi-tractors, single-unit trucks, and buses, were involved in 313 instances.

Vehicle Type

"Other" combines 17 smaller categories (269 records): Cargo Van (78), Single Unit Truck (70), Pedestrian/Skater (24), Other Vehicle (20), Bus (16+ Passengers) (18), Van (9-15 Seats) (16), Heavy Equipment (9), Motorhome (7), Bicycle (6), Farm Equipment (6), All Terrain Vehicle (ATV/UTV) (5), Moped or Motorized Bicycle (3), Motorcycle 3 Wheeled (2), Animal with Rider or Animal Drawn Vehicle (2), Limo (Livery Vehicle) (1), Golf Cart (1), Autocycle (1).

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

Person Type

Of the 7,489 individuals involved in crashes, the vast majority, 5,617 people or 75%, were drivers. Passengers (occupants) comprised the next largest group with 1,848 individuals (24.7%). A smaller but notable group consisted of 24 pedestrians involved in collisions.

Person Type

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

Person Injury Severity

Examining the outcomes for all 7,489 people involved in crashes, 14 individuals sustained fatal injuries (0.2%). A total of 1,225 people, or 16.4%, suffered some level of injury, ranging from possible to serious. The majority of individuals, 6,035 people, were not injured.

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 vehicle occupants for whom safety equipment use was recorded, 6,227 were reported as using a shoulder and lap belt. However, 277 individuals were reported as using no safety equipment at all. An additional 275 individuals were secured in a child restraint system or booster seat.

Occupant Safety Equipment

"Other" combines 3 smaller categories (82 records): Shoulder Belt Only Used (42), Helmet Used (39), Protective Pads Used (Elbow; knees; etc.) (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, 2,032 incidents, involved a collision between two vehicles. Single-vehicle crashes were also very common, accounting for 1,489 incidents or 40.7% of the total. Crashes involving three or more vehicles were less frequent, with 140 such incidents recorded, including one crash that involved seven 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 5, 2026

Data Coverage

  • Reporting period: 2021-01-01 through 2021-12-31 (365 days)
  • Geographic scope: ohio, OH
  • Total crash records analyzed: 3,661
  • Total persons involved: 7,489
  • Total vehicles involved: 6,003

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: 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/statewide/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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Richland County, OH Crash Report — 2021 | ThatCarHitMe.com