Yearly Traffic Safety Analysis

1,613 CRASHES IN
OHIO, OH
2021

In 2021, Marion County experienced 1,613 traffic crashes, resulting in 10 fatalities and 538 injuries. These incidents involved 3,343 people and 2,687 vehicles. A notable finding from the data is that crashes involving animals, overwhelmingly deer, accounted for 248 incidents, representing 15.4% of all crashes in the county.

1,613

Total Crash Events

10

Persons Killed

538

Persons Injured

15.0%

Hit-and-Run Rate

Note: "Persons Killed" (10) counts individual fatalities across all crash events. "Fatal" in the severity table below (10) 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

242

Hit-and-Run Crashes — 2021

Based on the initial determination of responding officers, 242 crashes in 2021 were classified as hit-and-runs. This represents 15% of all traffic crashes recorded in Marion County during this period.

Vulnerable Road User Casualties

In 2021, all 10 traffic fatalities in Marion County were motorists. An additional 528 motorists were injured in crashes. While no pedestrians or cyclists were killed, 10 pedestrians sustained injuries during the reporting period.

0

Pedestrians Killed

10

Motorists Killed

10

Pedestrians Injured

528

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 Marion County peaked during the weekday commute, with Thursday being the most common day for crashes (267 incidents) and the hour of 3 p.m. having the highest frequency (139 incidents). While a majority of crashes occurred during daylight (992 crashes), a significant number, 520 crashes, happened in 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, 1,216 incidents or 75.4%, resulted in no injuries. Injury-sustaining crashes accounted for 23.9% of the total, including 47 serious injury crashes. Ten crashes were fatal, which resulted in a total of 10 persons killed.

Outcome by Severity (Crash Events)

Fatal10fatal crashes0.6%
Serious Injury47serious injury crashes2.9%
Minor Injury254minor injury crashes15.7%
Possible Injury86possible injury crashes5.3%
No Injury1,216no injury crashes75.4%

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

A majority of crashes occurred in favorable conditions, with 76.9% on dry roads (1,240 crashes) and 63.6% in clear weather (1,026 crashes). Crashes during daylight hours accounted for 61.5% of the total (992 incidents). Adverse conditions were also present, with 279 crashes on wet roads and 520 crashes occurring in darkness.

Weather

Clear1,026 (63.6%)
Cloudy378 (23.4%)
Rain116 (7.2%)
Snow58 (3.6%)
Other/Unknown15 (0.9%)
Fog; Smog; Smoke14 (0.9%)
Severe Crosswinds3 (0.2%)
Blowing Sand; Soil; Dirt; Snow1 (0.1%)
Freezing Rain or Freezing Drizzle1 (0.1%)
Sleet; Hail1 (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

Daylight992 (61.5%)
Dark - Roadway Not Lighted355 (22.0%)
Dark - Lighted Roadway165 (10.2%)
Dawn/Dusk81 (5.0%)
Other/Unknown14 (0.9%)
Dark - Unknown Roadway Lighting6 (0.4%)

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

Road Surface

Dry1,240 (76.9%)
Wet279 (17.3%)
Snow61 (3.8%)
Ice17 (1.1%)
Other/Unknown13 (0.8%)
Slush2 (0.1%)
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 3,343 individuals involved in crashes, the 26-34 age group was the most represented, with 517 people. The most common vehicle makes involved in these incidents were Ford (430 vehicles), Chevrolet (425 vehicles), and Honda (322 vehicles).

Top Vehicle Makes (2,687 vehicles)

1
FORD430 (16%)
2
CHEVROLET425 (15.8%)
3
HONDA322 (12%)
4
TOYOTA184 (6.8%)
5
DODGE183 (6.8%)
6
HYUNDAI141 (5.2%)
7
JEEP86 (3.2%)
8
NISSAN77 (2.9%)
9
KIA71 (2.6%)
10
GMC66 (2.5%)

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

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

Sex Distribution (3,197 persons with recorded sex)

Male1,765 (55.2%)
Female1,432 (44.8%)

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 vast majority of crashes, 1,274 incidents, had their first harmful event occur on the roadway. However, a notable 320 crashes, or 19.8% of the total, were run-off-road events, occurring on the roadside, shoulder, median, or outside the trafficway.

Crash Location (First Harmful Event)

"Other" combines 2 smaller categories (6 records): Railway grade crossing (4), Off ramp (2).

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

Traffic Control Device

Data on traffic control devices indicates that most vehicles were involved in crashes at locations with no control present (1,762 units). For comparison, 629 vehicles were involved in crashes at signalized locations, and 264 were at intersections controlled by a stop sign.

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 factor for drivers was 'Following too Close / ACDA,' noted in 278 instances. This was followed by 'Failure to Yield' with 204 instances and 'Drove off Road' with 193 instances.

Driver Contributing Factor

1
Following too Close / ACDA278 (21%)
2
Failure to Yield204 (15.4%)
3
Drove off Road193 (14.6%)
4
Other Improper Action116 (8.8%)
5
Improper Backing84 (6.4%)
6
Unsafe Speed62 (4.7%)
7
Improper Turn59 (4.5%)
8
Improper Lane Change57 (4.3%)
9
Ran Red Light57 (4.3%)

Showing top 9 of 22 reported. 13 additional (211 total) not shown: Not Discernible, Left of Center, Ran Stop Sign, Swerving to Avoid, Improper Passing, Load shifting/Falling/Spilling, Operating Defective Equipment, Improper Crossing, Wrong Way, Improper Start From a Parked Position, Stopped or Parked Illegally, Vision Obstruction, 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 involving commercial trucks accounted for 103 incidents, or 6.4% of all crashes. Of these, 71 involved a semi-tractor trailer, while the remaining 32 involved other types of commercial vehicles.

Vulnerable Road Users & Motorcycles

There were 61 total crashes involving motorcyclists, bicyclists, or pedestrians. Motorcyclists were involved in 37 crashes, while vulnerable road users included 14 bicyclists and 10 pedestrians.

Animal-Involved Crashes

Animal-related collisions were a significant factor, accounting for 248 crashes, or 15.4% of the total. The vast majority of these incidents, 236 crashes, involved deer.

Impairment (Alcohol / Drugs)

Impairment was a factor in 92 crashes, representing 5.7% of the total. These incidents were nearly evenly split between alcohol (40 instances) and drugs (38 instances), with an additional 14 instances involving both.

Driver Condition

Among drivers involved in crashes, 120 were noted to have a condition other than 'Apparently Normal'. This includes 77 drivers under the influence of medications, drugs, or alcohol, 16 with a physical impairment, and 15 who fell asleep or were fatigued.

Driver Condition

1
Apparently Normal2,196 (90.1%)
2
Other/Unknown122 (5%)
3
Under the Influence of Medications / Drugs / Alcohol77 (3.2%)
4
Physical Impairment16 (0.7%)
5
Fell Asleep; Fainted; Fatigued; etc.15 (0.6%)
6
Emotional (E.G.; Depressed; Angry; Disturbed)7 (0.3%)
7
Illness5 (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 drivers for whom a distraction was noted, the most common factor was 'Other distraction inside the vehicle,' with 68 instances. This was followed by 'Other distraction outside the vehicle' (36 instances) and 'Other activity with an electronic device' (24 instances).

Driver Distraction

1
Not Distracted2,166 (89.9%)
2
Other/Unknown95 (3.9%)
3
Other distraction inside the vehicle68 (2.8%)
4
Other distraction outside the vehicle36 (1.5%)
5
Other activity with an electronic device24 (1%)
6
Manually operating an electronic communication device (texting; typing; dialing)10 (0.4%)
7
Passenger9 (0.4%)
8
Talking on hand-held communication device2 (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 vast majority of crashes (1,453) occurred on straight, level sections of roadway. However, 77 crashes (4.8% of total) occurred on curves, and 93 crashes (5.8% of total) occurred on grades.

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 was heavily concentrated in the City of Marion, which accounted for 1,035 incidents, or 64.2% of the county's total. Other notable locations included the townships of Pleasant (94 crashes), Claridon (83 crashes), and Richland (66 crashes).

Top Cities

1
Marion1,035 (64.2%)
2
Pleasant94 (5.8%)
3
Claridon83 (5.1%)
4
Richland66 (4.1%)
5
Grand Prairie64 (4%)
6
Big Island56 (3.5%)
7
Waldo45 (2.8%)
8
Prospect37 (2.3%)
9
Green Camp27 (1.7%)

Showing top 9 of 19 reported. 10 additional (106 total) not shown: Tully, Montgomery, Scott, Grand, Bowling Green, Salt Rock, Caledonia, La Rue, Morral, New Bloomington.

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 action drivers were taking just before a crash was driving 'Straight Ahead,' which was reported for 1,554 vehicles. The next most frequent pre-crash actions were 'Slowing or Stopped In Traffic' (325 vehicles) and 'Making Left Turn' (208 vehicles).

Pre-Crash Driver Action

1
Straight Ahead1,554 (57.8%)
2
Slowing or Stopped In Traffic325 (12.1%)
3
Making Left Turn208 (7.7%)
4
Parked179 (6.7%)
5
Backing101 (3.8%)
6
Making Right Turn97 (3.6%)
7
Changing Lanes47 (1.7%)
8
Negotiating a Curve45 (1.7%)
9
Other/Unknown45 (1.7%)

Showing top 9 of 17 reported. 8 additional (86 total) not shown: Entering Traffic Lane, Overtaking/Passing, Leaving Traffic Lane, Walking; Running; Jogging; Playing, Driverless, 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 frequent type of crash was 'Not Collision Between Two Vehicles in Transport,' accounting for 708 incidents or 43.9% of the total, which often indicates single-vehicle events. Among multi-vehicle crashes, angle collisions were most common (352 crashes, 21.8%), followed by rear-end collisions (270 crashes, 16.7%).

Manner of Collision

"Other" combines 2 smaller categories (40 records): Head-on (31), 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, with 1,250 units, followed by Sport Utility Vehicles (628 units) and Pick-ups (390 units). Commercial vehicles, including semi-tractors, single unit trucks, and cargo vans, were involved in 138 instances.

Vehicle Type

"Other" combines 12 smaller categories (143 records): Cargo Van (33), Single Unit Truck (31), Other Vehicle (18), Bicycle (14), Farm Equipment (12), Pedestrian/Skater (11), Bus (16+ Passengers) (11), Van (9-15 Seats) (6), Heavy Equipment (2), Motorcycle 3 Wheeled (2), Train (2), Moped or Motorized Bicycle (1).

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

Person Type

Of the 3,343 people involved in crashes, the majority were drivers (2,489 people, or 74.5%). Passengers accounted for 842 individuals (25.2%), and pedestrians made up a small fraction with 12 individuals (0.4%).

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 the 3,343 people involved in traffic incidents, 10 sustained fatal injuries and 538 sustained some level of injury. This means that approximately 16.4% of all persons involved were either injured or killed. The vast majority, 2,713 individuals, 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

A significant number of individuals involved in crashes, 206 people, were reported as not using any safety equipment. In contrast, 2,719 individuals were recorded as using a shoulder and lap belt. An additional 152 individuals were using a child restraint system or booster seat.

Occupant Safety Equipment

"Other" combines 2 smaller categories (23 records): Lap Belt Only Used (13), Helmet Used (10).

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

Two-vehicle crashes were the most common scenario, accounting for 962 incidents or 59.6% of the total. Single-vehicle crashes were also frequent, with 599 incidents representing 37.1% of all crashes. Crashes involving three or more vehicles were less common, accounting for 52 incidents.

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: 1,613
  • Total persons involved: 3,343
  • Total vehicles involved: 2,687

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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Marion County, OH Crash Report — 2021 | ThatCarHitMe.com