Yearly Traffic Safety Analysis

1,734 CRASHES IN
OHIO, OH
2021

In 2021, Scioto County recorded 1,734 traffic crashes, resulting in 7 fatalities and 573 injuries. A notable finding from the data is that nearly half of all collisions, 814 incidents or 46.9%, were single-vehicle crashes not involving another vehicle in transport. The majority of crashes occurred during daylight hours on dry roads.

1,734

Total Crash Events

7

Persons Killed

573

Persons Injured

14.7%

Hit-and-Run Rate

Note: "Persons Killed" (7) counts individual fatalities across all crash events. "Fatal" in the severity table below (7) 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

255

Hit-and-Run Crashes — 2021

Responding officers identified 255 crashes as hit-and-run incidents, accounting for 14.7% of all crashes in Scioto County during this period. This classification is based on the officer's initial determination at the scene that a driver involved in the crash had left without providing required information.

Vulnerable Road User Casualties

Motorists comprised the largest group of individuals killed or injured, with 5 fatalities and 561 injuries. In addition, 2 pedestrians were killed and 12 were injured in traffic crashes during this period. No bicyclists were killed or injured in 2021.

2

Pedestrians Killed

5

Motorists Killed

12

Pedestrians Injured

561

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 show a peak on Wednesdays, with 284 incidents recorded. The most frequent time for crashes was the 4 p.m. hour, which saw 143 collisions. While a majority of crashes (1,160) occurred in daylight, a significant number also happened in low-light conditions, including 329 on unlit dark roads and 151 on lighted dark roads.

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

Of the 1,734 total crashes, 76.2% (1,321 incidents) resulted in no injuries, involving only property damage. The remaining 23.8% of crashes involved some level of injury, including 7 fatal crashes (0.4%), 55 with serious injuries (3.2%), and 351 with minor or possible injuries. These 7 fatal crashes resulted in a total of 7 fatalities.

Outcome by Severity (Crash Events)

Fatal7fatal crashes0.4%
Serious Injury55serious injury crashes3.2%
Minor Injury227minor injury crashes13.1%
Possible Injury124possible injury crashes7.2%
No Injury1,321no injury crashes76.2%

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 occurred in favorable conditions, with 66.9% (1,160 incidents) happening in daylight and 74.0% (1,283 incidents) on dry road surfaces. Crashes in clear weather accounted for 986 incidents. Adverse conditions were also present in a minority of crashes, including 199 in rain, 50 in snow, and 337 on wet road surfaces.

Weather

Clear986 (56.9%)
Cloudy442 (25.5%)
Rain199 (11.5%)
Snow50 (2.9%)
Fog; Smog; Smoke27 (1.6%)
Freezing Rain or Freezing Drizzle12 (0.7%)
Other/Unknown10 (0.6%)
Sleet; Hail8 (0.5%)

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

Lighting

Daylight1,160 (66.9%)
Dark - Roadway Not Lighted329 (19.0%)
Dark - Lighted Roadway151 (8.7%)
Dawn/Dusk71 (4.1%)
Other/Unknown16 (0.9%)
Dark - Unknown Roadway Lighting7 (0.4%)

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

Road Surface

Dry1,283 (74.0%)
Wet337 (19.4%)
Ice64 (3.7%)
Snow41 (2.4%)
Slush4 (0.2%)
Other/Unknown2 (0.1%)
Sand; Mud; Dirt; Oil; Gravel2 (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 3,623 people involved in crashes, the 26-34 age group was the most represented with 533 individuals, followed by the 35-44 group with 517 people. Analysis of the 2,931 vehicles involved shows that Chevrolet was the most frequent make with 625 vehicles, followed by Ford with 488 and Honda with 238.

Top Vehicle Makes (2,931 vehicles)

1
CHEVROLET625 (21.3%)
2
FORD488 (16.6%)
3
HONDA238 (8.1%)
4
TOYOTA219 (7.5%)
5
DODGE209 (7.1%)
6
JEEP128 (4.4%)
7
GMC100 (3.4%)
8
KIA98 (3.3%)
9
HYUNDAI94 (3.2%)
10
NISSAN93 (3.2%)

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

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

Sex Distribution (3,460 persons with recorded sex)

Male1,807 (52.2%)
Female1,653 (47.8%)

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 first harmful event in most crashes, 1,152 incidents, occurred on the roadway itself. However, a significant portion were run-off-road events, with 434 crashes occurring on the roadside, 70 on the shoulder, and 54 outside the trafficway. Combined, these events off the primary travel lanes account for 558 crashes, or 32.2% of the total.

Crash Location (First Harmful Event)

"Other" combines 4 smaller categories (8 records): Other/Unknown (4), Shared-use paths or trails (2), On ramp (1), Railway grade crossing (1).

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

Traffic Control Device

Analysis of traffic controls present at crash locations indicates that the majority of vehicles involved, 2,223 units, were in areas with no traffic control device. For crashes at controlled locations, 429 vehicles were involved at intersections with a traffic signal and 258 were at locations with 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 common contributing factors cited for drivers were 'Drove off Road' with 277 instances and 'Following too Close / ACDA' with 276 instances. 'Failure to Yield' and 'Unsafe Speed' were also significant factors, each cited 249 times. 'Left of Center' was noted in 74 cases.

Driver Contributing Factor

1
Drove off Road277 (16.6%)
2
Following too Close / ACDA276 (16.6%)
3
Failure to Yield249 (15%)
4
Unsafe Speed249 (15%)
5
Other Improper Action149 (8.9%)
6
Not Discernible81 (4.9%)
7
Left of Center74 (4.4%)
8
Ran Red Light58 (3.5%)
9
Improper Backing57 (3.4%)

Showing top 9 of 22 reported. 13 additional (195 total) not shown: Improper Lane Change, Ran Stop Sign, Improper Turn, Swerving to Avoid, Improper Passing, Operating Defective Equipment, Load shifting/Falling/Spilling, Wrong Way, Improper Crossing, Stopped or Parked Illegally, Improper Start From a Parked Position, Opening Door into Roadway, Vision Obstruction.

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

Commercial / Truck Involvement

In 2021, 91 commercial vehicles were involved in crashes in Scioto County. Of these, 33 were identified as semi-tractor trailers and 58 were classified as other types of commercial vehicles, such as cargo vans or single-unit trucks.

Vulnerable Road Users & Motorcycles

Crashes involved 43 vulnerable road users and motorcyclists. These included 27 crashes with motorcyclists, 14 with pedestrians, and 2 with bicyclists. Combined, crashes involving pedestrians and bicyclists, who are among the most vulnerable road users, totaled 16 incidents.

Animal-Involved Crashes

A total of 101 crashes were attributed to collisions with animals. The vast majority of these, 92 incidents, involved deer. The remaining 9 crashes involved other, unspecified types of animals.

Impairment (Alcohol / Drugs)

Impairment was a factor in 120 crashes, representing 6.9% of the total. Among these, alcohol was suspected in 62 incidents, drugs in 51 incidents, and a combination of both alcohol and drugs in 7 incidents.

Driver Condition

Beyond impairment, other driver conditions were noted in a minority of cases. This includes 28 drivers who reportedly fell asleep, fainted, or were fatigued, and 22 drivers with a physical impairment. Illness was cited for 5 drivers and an emotional state for 3 drivers.

Driver Condition

1
Apparently Normal2,258 (88.3%)
2
Under the Influence of Medications / Drugs / Alcohol121 (4.7%)
3
Other/Unknown121 (4.7%)
4
Fell Asleep; Fainted; Fatigued; etc.28 (1.1%)
5
Physical Impairment22 (0.9%)
6
Illness5 (0.2%)
7
Emotional (E.G.; Depressed; Angry; Disturbed)3 (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

Among the 2,635 drivers involved, a specific distraction was identified for a small fraction. The most cited was 'Other distraction inside the vehicle' with 44 instances, followed by 'Manually operating an electronic communication device' with 18 instances. 'Other distraction outside the vehicle' and 'Other activity with an electronic device' were each noted 12 times.

Driver Distraction

1
Not Distracted2,330 (92%)
2
Other/Unknown107 (4.2%)
3
Other distraction inside the vehicle44 (1.7%)
4
Manually operating an electronic communication device (texting; typing; dialing)18 (0.7%)
5
Other distraction outside the vehicle12 (0.5%)
6
Other activity with an electronic device12 (0.5%)
7
Passenger8 (0.3%)
8
Talking on hand-held communication device1

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 (1,167) occurred on straight and level road segments, a notable number happened on more challenging alignments. Crashes on curves accounted for 312 incidents (18.0% of the total), and crashes on grades (slopes) accounted for 430 incidents (24.8% of the total).

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 Scioto County was concentrated in a few key areas. The city of Portsmouth accounted for the largest share, with 622 crashes, representing 35.9% of the county's total. Porter Township had the second-highest volume with 190 crashes (11.0%), followed by the village of New Boston with 127 crashes (7.3%).

Top Cities

1
Portsmouth622 (35.9%)
2
Porter190 (11%)
3
New Boston127 (7.3%)
4
Clay95 (5.5%)
5
Washington93 (5.4%)
6
Valley87 (5%)
7
Green87 (5%)
8
Madison70 (4%)
9
Harrison67 (3.9%)

Showing top 9 of 19 reported. 10 additional (296 total) not shown: Jefferson, Rush, Nile, Bloom, Union, Morgan, Vernon, Brush Creek, Rarden, Lucasville.

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 the 2,931 vehicles involved was 'Straight Ahead,' accounting for 1,590 vehicles (54.2%). The next most frequent actions were 'Slowing or Stopped In Traffic' with 291 vehicles (9.9%) and being 'Parked' with 276 vehicles (9.4%).

Pre-Crash Driver Action

1
Straight Ahead1,590 (54.2%)
2
Slowing or Stopped In Traffic291 (9.9%)
3
Parked276 (9.4%)
4
Negotiating a Curve224 (7.6%)
5
Making Left Turn192 (6.6%)
6
Backing69 (2.4%)
7
Changing Lanes62 (2.1%)
8
Making Right Turn60 (2%)
9
Entering Traffic Lane58 (2%)

Showing top 9 of 17 reported. 8 additional (109 total) not shown: Other/Unknown, Overtaking/Passing, Leaving Traffic Lane, Walking; Running; Jogging; Playing, Driverless, Standing, Working, 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

Nearly half of all incidents (814 crashes, or 46.9%) were classified as 'Not Collision Between Two Vehicles in Transport,' which typically includes single-vehicle crashes with fixed objects or non-vehicular parties. Among multi-vehicle crashes, angle collisions were the most common type with 385 incidents (22.2%), followed by rear-end collisions with 303 incidents (17.5%).

Manner of Collision

"Other" combines 2 smaller categories (12 records): Other/Unknown (11), Rear-to-rear (1).

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 1,374 units, followed by Sport Utility Vehicles (635 units) and Pickups (561 units). These three categories together represented 87.7% of all vehicles in collisions. Additionally, 91 commercial vehicles, including 33 semi-tractors, were involved.

Vehicle Type

"Other" combines 13 smaller categories (102 records): Motorcycle 2 Wheeled (27), Single Unit Truck (22), Pedestrian/Skater (16), All Terrain Vehicle (ATV/UTV) (9), Other Vehicle (9), Van (9-15 Seats) (6), Bus (16+ Passengers) (3), Heavy Equipment (2), Motorhome (2), Train (2), Bicycle (2), Farm Equipment (1), Motorcycle 3 Wheeled (1).

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

Person Type

Of the 3,623 people involved in crashes, the majority were drivers, accounting for 2,635 individuals (72.7%). Vehicle occupants (passengers) comprised the next largest group with 970 individuals (26.8%). A small fraction, 18 people (0.5%), were pedestrians.

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 3,544 people whose injury status was recorded, 7 suffered fatal injuries and 573 sustained non-fatal injuries (serious, minor, or possible). In total, 16.4% of all persons involved in crashes experienced some level of injury. The remaining 2,964 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

Among vehicle occupants with a known safety equipment status, 177 individuals were recorded as using no restraints. The most common form of protection was the shoulder and lap belt, used by 2,931 people. Child restraints, including forward-facing, rear-facing, and booster seats, were used by a combined 170 children.

Occupant Safety Equipment

"Other" combines 2 smaller categories (25 records): Lap Belt Only Used (18), Helmet Used (7).

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 collisions were the most common crash configuration, accounting for 999 incidents (57.6% of the total). Single-vehicle crashes were also frequent, with 650 incidents (37.5%). Multi-vehicle crashes involving three or more units were less common, though one incident involved 15 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 6, 2026

Data Coverage

  • Reporting period: 2021-01-01 through 2021-12-31 (365 days)
  • Geographic scope: ohio, OH
  • Total crash records analyzed: 1,734
  • Total persons involved: 3,623
  • Total vehicles involved: 2,931

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