Yearly Traffic Safety Analysis

2,017 CRASHES IN
OHIO, OH
2021

In 2021, Ross County recorded 2,017 traffic crashes, resulting in 13 fatalities and 756 injuries. A significant portion of these incidents, 51.9%, were single-vehicle crashes where a vehicle collided with an object other than another vehicle in transport. These incidents, categorized as "Not Collision Between Two Vehicles in Transport," outnumbered all multi-vehicle crash types combined.

2,017

Total Crash Events

13

Persons Killed

756

Persons Injured

11.8%

Hit-and-Run Rate

Note: "Persons Killed" (13) counts individual fatalities across all crash events. "Fatal" in the severity table below (12) 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

237

Hit-and-Run Crashes — 2021

Based on initial officer determinations, 237 crashes in Ross County involved a hit-and-run, accounting for 11.8% of all incidents in 2021. This classification reflects crashes where at least one party left the scene unlawfully before their information could be collected.

Vulnerable Road User Casualties

In 2021, motorists accounted for the vast majority of traffic casualties, with 12 fatalities and 747 injuries recorded. Among vulnerable road users, one pedestrian was killed and nine were injured. There were no cyclist fatalities or injuries reported in this dataset.

1

Pedestrians Killed

12

Motorists Killed

9

Pedestrians Injured

747

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

Crashes in Ross County occurred most frequently on Fridays, with 354 incidents recorded in 2021. The single busiest hour for crashes was the 4 p.m. hour, which saw 173 incidents. Overall, crashes were more common during daylight hours, which accounted for 1,288 of the total crashes.

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 2021, 73.4% (1,481 incidents), resulted in no injuries. Injury-related crashes, including those with serious, minor, or possible injuries, accounted for 26.0% of the total. There were 12 fatal crashes, which resulted in a total of 13 fatalities, indicating at least one crash involved multiple deaths.

Severity is per crash event (most severe injury). 12 fatal crash events resulted in 13 persons killed.

Outcome by Severity (Crash Events)

Fatal12fatal crashes0.6%
Serious Injury55serious injury crashes2.7%
Minor Injury329minor injury crashes16.3%
Possible Injury140possible injury crashes6.9%
No Injury1,481no injury crashes73.4%

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 ideal driving conditions, with 1,190 incidents in clear weather and 1,547 on dry roads. Crashes during daylight hours accounted for 1,288 incidents. Regarding adverse conditions, 209 crashes occurred during rain, 362 on wet road surfaces, and 478 on unlit roads after dark.

Weather

Clear1,190 (59.0%)
Cloudy529 (26.2%)
Rain209 (10.4%)
Snow54 (2.7%)
Fog; Smog; Smoke23 (1.1%)
Other/Unknown9 (0.4%)
Sleet; Hail2 (0.1%)
Freezing Rain or Freezing Drizzle1 (0.0%)

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

Lighting

Daylight1,288 (63.9%)
Dark - Roadway Not Lighted478 (23.7%)
Dawn/Dusk118 (5.9%)
Dark - Lighted Roadway115 (5.7%)
Other/Unknown10 (0.5%)
Dark - Unknown Roadway Lighting8 (0.4%)

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

Road Surface

Dry1,547 (76.7%)
Wet362 (17.9%)
Snow54 (2.7%)
Ice40 (2.0%)
Other/Unknown7 (0.3%)
Slush5 (0.2%)
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 the 4,365 people involved in crashes shows the 26-34 age group was the most represented, with 616 individuals, followed closely by the 35-44 age group with 607 individuals. Among the 3,219 vehicles involved, the most frequent makes were Chevrolet (511 vehicles), Ford (509 vehicles), and Honda (261 vehicles).

Top Vehicle Makes (3,219 vehicles)

1
CHEVROLET511 (15.9%)
2
FORD509 (15.8%)
3
HONDA261 (8.1%)
4
DODGE228 (7.1%)
5
TOYOTA220 (6.8%)
6
HYUNDAI215 (6.7%)
7
JEEP159 (4.9%)
8
NISSAN142 (4.4%)
9
KIA141 (4.4%)
10
CHRYSLER95 (3%)

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

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

Sex Distribution (4,215 persons with recorded sex)

Male2,255 (53.5%)
Female1,960 (46.5%)

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 (1,443 incidents) was on the roadway itself. However, a notable number of crashes involved vehicles leaving the travel lanes. A combined 505 crashes, representing 25.0% of the total, had their first harmful event occur on the roadside, shoulder, or in the median.

Crash Location (First Harmful Event)

"Other" combines 5 smaller categories (7 records): On ramp (2), Driveway/Alley access (2), Railway grade crossing (1), On Gore (1), Crossover (1).

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

Traffic Control Device

The majority of vehicles involved in crashes were at locations with no traffic control device present, accounting for 2,393 of the 3,219 total vehicles. Crashes at locations with traffic signals involved 584 vehicles, while those at stop signs involved 209 vehicles.

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," attributed to 353 vehicles. This was followed by "Drove off Road" (307 vehicles), "Failure to Yield" (222 vehicles), and "Unsafe Speed" (200 vehicles).

Driver Contributing Factor

1
Following too Close / ACDA353 (20.5%)
2
Drove off Road307 (17.8%)
3
Failure to Yield222 (12.9%)
4
Unsafe Speed200 (11.6%)
5
Other Improper Action119 (6.9%)
6
Left of Center87 (5.1%)
7
Improper Lane Change81 (4.7%)
8
Not Discernible78 (4.5%)
9
Ran Red Light56 (3.3%)

Showing top 9 of 22 reported. 13 additional (218 total) not shown: Ran Stop Sign, Swerving to Avoid, Improper Backing, Operating Defective Equipment, Improper Turn, Load shifting/Falling/Spilling, Improper Passing, Improper Start From a Parked Position, Stopped or Parked Illegally, Improper Crossing, Wrong Way, Vision Obstruction, Lying in 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 141 incidents in 2021. Among these, 85 crashes involved a semi-tractor trailer, while the remaining 56 involved other types of commercial vehicles such as single-unit trucks or cargo vans.

Vulnerable Road Users & Motorcycles

Crashes involving vulnerable road users included 10 pedestrians and 4 bicyclists, for a combined total of 14 incidents. In addition, 27 crashes involved motorcyclists. These incidents represent a small fraction of total crashes but often result in higher severity outcomes.

Animal-Involved Crashes

Collisions with animals were a significant factor, totaling 321 incidents, or 15.9% of all crashes in Ross County. The vast majority of these, 294 crashes, involved collisions with deer. An additional 27 crashes were attributed to collisions with other animals.

Impairment (Alcohol / Drugs)

Impairment was a factor in 119 crashes, accounting for 5.9% of the total. Among these incidents, alcohol was suspected in 71 cases, drugs in 36 cases, and a combination of both in 12 cases. These figures represent a minimum baseline, as impairment may not always be determined at the scene.

Driver Condition

While most drivers were recorded as "Apparently Normal," several adverse conditions were noted. A total of 114 drivers were believed to be under the influence of medications, drugs, or alcohol. An additional 38 drivers were reported as having fallen asleep, fainted, or being fatigued at the time of their crash.

Driver Condition

1
Apparently Normal2,681 (89.4%)
2
Other/Unknown146 (4.9%)
3
Under the Influence of Medications / Drugs / Alcohol114 (3.8%)
4
Fell Asleep; Fainted; Fatigued; etc.38 (1.3%)
5
Illness8 (0.3%)
6
Emotional (E.G.; Depressed; Angry; Disturbed)8 (0.3%)
7
Physical Impairment5 (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, 49 were distracted by something inside their vehicle and 31 by something outside. Electronic device use was a factor for at least 28 drivers, including 16 who were manually operating a device and 3 who were talking on a hand-held device.

Driver Distraction

1
Not Distracted2,710 (90.8%)
2
Other/Unknown163 (5.5%)
3
Other distraction inside the vehicle49 (1.6%)
4
Other distraction outside the vehicle31 (1%)
5
Manually operating an electronic communication device (texting; typing; dialing)16 (0.5%)
6
Other activity with an electronic device9 (0.3%)
7
Talking on hand-held communication device3 (0.1%)
8
Passenger2 (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

While the majority of crashes (1,377) occurred on straight, level sections of road, road geometry was a factor in a notable share of incidents. Crashes on curves accounted for 391 incidents, or 19.4% of the total. Additionally, 411 crashes, representing 20.4% of all incidents, occurred on a grade.

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 concentrated in a few key areas of Ross County. The city of Chillicothe accounted for the largest share, with 524 crashes, representing 26.0% of the county's total. The townships of Scioto and Union followed, with 330 (16.4%) and 220 (10.9%) crashes, respectively.

Top Cities

1
Chillicothe524 (26%)
2
Scioto330 (16.4%)
3
Union220 (10.9%)
4
Green134 (6.6%)
5
Concord121 (6%)
6
Huntington120 (5.9%)
7
Twin96 (4.8%)
8
Springfield84 (4.2%)
9
Liberty78 (3.9%)

Showing top 9 of 24 reported. 15 additional (310 total) not shown: Jefferson, Franklin, Buckskin, Paxton, Paint, Colerain, Harrison, Deerfield, Kingston, Frankfort, Bainbridge, Adelphi, Ross, Bourneville, Andersonville.

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 pre-crash action for vehicles was driving "Straight Ahead," which was reported for 1,834 vehicles, or 57.0% of the total. The next most frequent actions were "Slowing or Stopped In Traffic" (362 vehicles) and "Negotiating a Curve" (346 vehicles).

Pre-Crash Driver Action

1
Straight Ahead1,834 (57%)
2
Slowing or Stopped In Traffic362 (11.2%)
3
Negotiating a Curve346 (10.7%)
4
Making Left Turn247 (7.7%)
5
Parked139 (4.3%)
6
Making Right Turn87 (2.7%)
7
Changing Lanes67 (2.1%)
8
Backing45 (1.4%)
9
Entering Traffic Lane44 (1.4%)

Showing top 9 of 16 reported. 7 additional (48 total) not shown: Overtaking/Passing, Other/Unknown, Walking; Running; Jogging; Playing, Driverless, Leaving Traffic Lane, Standing, Other Non-Motorist.

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 incident, categorized as "Not Collision Between Two Vehicles in Transport," which accounted for 1,046 crashes or 51.9% of the total. Among multi-vehicle crashes, angle collisions were the most frequent type with 373 incidents (18.5%), followed by rear-end collisions with 335 incidents (16.6%).

Manner of Collision

"Other" combines 2 smaller categories (18 records): Other/Unknown (14), 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 common vehicle type involved in crashes, accounting for 1,497 of the 3,219 vehicles (46.5%). Sport Utility Vehicles (809 vehicles) and Pick-up trucks (510 vehicles) were the next most frequent. Commercial vehicles, including semi-tractors and single-unit trucks, were involved in 119 crashes.

Vehicle Type

"Other" combines 15 smaller categories (122 records): Unknown or Hit/Skip (30), Motorcycle 2 Wheeled (27), Van (9-15 Seats) (13), Other Vehicle (11), Pedestrian/Skater (10), Bus (16+ Passengers) (8), All Terrain Vehicle (ATV/UTV) (7), Bicycle (4), Heavy Equipment (3), Farm Equipment (2), Motorhome (2), Moped or Motorized Bicycle (2), Autocycle (1), Motorcycle 3 Wheeled (1), Golf Cart (1).

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

Person Type

Of the 4,365 individuals involved in traffic crashes, the vast majority, 3,046 people (69.8%), were drivers. Vehicle occupants (passengers) constituted the second-largest group with 1,309 individuals (30.0%). A total of 10 pedestrians were also involved in these incidents.

Person Type

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

Person Injury Severity

Across all 4,365 people involved in crashes, 13 individuals sustained fatal injuries and 756 sustained some level of injury. This means that 17.6% of all persons involved were either injured or killed. The remaining 3,518 individuals, or 80.6%, 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

The data shows that a portion of vehicle occupants did not use safety equipment. Among those for whom restraint use was recorded, 313 individuals were reported as using no restraints at all. In contrast, 3,547 people were recorded as using a shoulder and lap belt.

Occupant Safety Equipment

"Other" combines 2 smaller categories (32 records): Lap Belt Only Used (18), Helmet Used (14).

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

Crashes most commonly involved two vehicles, which accounted for 1,016 incidents (50.4% of the total). Single-vehicle crashes were also very common, with 918 incidents making up 45.5% of all crashes. Crashes involving three or more vehicles were less frequent, representing just 4.1% 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 6, 2026

Data Coverage

  • Reporting period: 2021-01-01 through 2021-12-31 (365 days)
  • Geographic scope: ohio, OH
  • Total crash records analyzed: 2,017
  • Total persons involved: 4,365
  • Total vehicles involved: 3,219

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 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/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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Ross County, OH Crash Report — 2021 | ThatCarHitMe.com