Yearly Traffic Safety Analysis

574 CRASHES IN
OHIO, OH
2021

In 2021, Pike County recorded 574 traffic crashes, resulting in 4 fatalities and 211 injuries. A notable finding from the data is that single-vehicle crashes, where a vehicle collides with a fixed object or runs off the road, were the most common type of incident, accounting for 53.3% of all crashes.

574

Total Crash Events

4

Persons Killed

211

Persons Injured

9.4%

Hit-and-Run Rate

Note: "Persons Killed" (4) counts individual fatalities across all crash events. "Fatal" in the severity table below (4) 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

54

Hit-and-Run Crashes — 2021

There were 54 hit-and-run incidents reported in Pike County in 2021, representing 9.4% of all crashes for the year. This classification is based on the initial determination made by the responding law enforcement officer at the scene of the crash.

Vulnerable Road User Casualties

In 2021, motorists comprised the large majority of individuals killed or injured in Pike County crashes, with 3 fatalities and 208 injuries. Vulnerable road users were also impacted, with 1 pedestrian killed and 3 pedestrians injured. No cyclist fatalities or injuries were recorded during this period.

1

Pedestrians Killed

3

Motorists Killed

3

Pedestrians Injured

208

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 Pike County peaked on Thursdays, which saw 100 incidents throughout the year. The single most common hour for crashes was 3 p.m., with 50 incidents recorded. Collisions were more frequent during daylight hours, which accounted for 341 crashes, while 191 crashes occurred in dark conditions, either on unlighted or lighted roadways.

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 574 total crashes, 425 (74%) resulted in no injuries, being classified as property-damage-only incidents. The remaining 149 crashes involved some level of injury, including 30 with serious injuries, 76 with minor injuries, and 39 with possible injuries. There were 4 fatal crashes recorded, which resulted in a total of 4 fatalities.

Outcome by Severity (Crash Events)

Fatal4fatal crashes0.7%
Serious Injury30serious injury crashes5.2%
Minor Injury76minor injury crashes13.2%
Possible Injury39possible injury crashes6.8%
No Injury425no injury crashes74%

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 in 2021 occurred in favorable conditions. Approximately 58% of incidents (334 crashes) happened in clear weather, and 75% (430 crashes) occurred on dry road surfaces. Similarly, 341 crashes, or 59% of the total, took place during daylight hours. Adverse conditions were less frequent, with 58 crashes occurring during rain and 107 on wet roads.

Weather

Clear334 (58.2%)
Cloudy136 (23.7%)
Rain58 (10.1%)
Fog; Smog; Smoke20 (3.5%)
Snow18 (3.1%)
Other/Unknown5 (0.9%)
Freezing Rain or Freezing Drizzle2 (0.3%)
Sleet; Hail1 (0.2%)

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

Lighting

Daylight341 (59.4%)
Dark - Roadway Not Lighted162 (28.2%)
Dawn/Dusk35 (6.1%)
Dark - Lighted Roadway29 (5.1%)
Dark - Unknown Roadway Lighting4 (0.7%)
Other/Unknown3 (0.5%)

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

Road Surface

Dry430 (74.9%)
Wet107 (18.6%)
Ice22 (3.8%)
Snow10 (1.7%)
Slush2 (0.3%)
Other/Unknown2 (0.3%)
Water (Standing; Moving)1 (0.2%)

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

Vehicles & Demographics

Among the 1,143 people involved in crashes, the 26-34 age group was the most represented with 173 individuals, followed closely by the 16-20 and 35-44 age groups, each with 169 individuals. Of the 873 vehicles involved, the most frequent makes were Ford (173), Chevrolet (162), and Toyota (61). Passenger cars were the most common vehicle type, involved in 401 incidents.

Top Vehicle Makes (873 vehicles)

1
FORD173 (19.8%)
2
CHEVROLET162 (18.6%)
3
TOYOTA61 (7%)
4
DODGE59 (6.8%)
5
HONDA52 (6%)
6
JEEP39 (4.5%)
7
HYUNDAI37 (4.2%)
8
NISSAN33 (3.8%)
9
KIA31 (3.6%)
10
GMC28 (3.2%)

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

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

Sex Distribution (1,106 persons with recorded sex)

Male673 (60.8%)
Female433 (39.2%)

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 (403, or 70.2%) was on the roadway itself. However, a significant number of incidents involved vehicles leaving the travel lanes. In total, 154 crashes, representing 26.8% of all incidents, occurred off the primary road surface, including 129 on the roadside, 21 on the shoulder, and 4 in the median.

Crash Location (First Harmful Event)

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

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 present at crash locations indicates that the majority of units involved were at locations with no traffic controls. A total of 669 vehicle units were in crashes where no controls were present. In contrast, 121 units were involved in crashes at signalized locations and 81 units 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

Among driver-related contributing factors, 'Drove off Road' was the most cited action, attributed to 121 units involved in crashes. The second most common factor was 'Following too Close / ACDA' with 87 units, followed by 'Failure to Yield' which was cited for 82 units.

Driver Contributing Factor

1
Drove off Road121 (24.2%)
2
Following too Close / ACDA87 (17.4%)
3
Failure to Yield82 (16.4%)
4
Unsafe Speed65 (13%)
5
Left of Center38 (7.6%)
6
Other Improper Action18 (3.6%)
7
Swerving to Avoid15 (3%)
8
Improper Lane Change13 (2.6%)
9
Not Discernible11 (2.2%)

Showing top 9 of 20 reported. 11 additional (50 total) not shown: Ran Stop Sign, Improper Turn, Improper Backing, Ran Red Light, Improper Passing, Improper Crossing, Operating Defective Equipment, Stopped or Parked Illegally, Wrong Way, Vision Obstruction, Load shifting/Falling/Spilling.

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

Commercial / Truck Involvement

A total of 46 crashes involved a commercial truck. Of these, 24 incidents involved a semi-tractor trailer, while the remaining 22 involved other types of commercial vehicles.

Vulnerable Road Users & Motorcycles

In 2021, there were 13 crashes involving vulnerable road users or motorcyclists. These included 8 incidents with motorcyclists, 4 with pedestrians, and 1 with a bicyclist. The combined count of crashes involving pedestrians and bicyclists was 5 for the year.

Animal-Involved Crashes

Crashes involving animals accounted for 66 incidents in Pike County. The vast majority of these, 59 crashes, were strikes involving deer. An additional 7 crashes involved other, unspecified types of animals.

Impairment (Alcohol / Drugs)

Impairment was a factor in 46 crashes, representing 8% of all incidents in 2021. Of these, alcohol was suspected in 27 crashes, drugs were suspected in 16 crashes, and a combination of alcohol and drugs was suspected in 3 crashes.

Driver Condition

While most drivers were listed as 'Apparently Normal', a number of crashes involved drivers with other reported conditions. A total of 46 drivers were noted as being under the influence of medications, drugs, or alcohol. Additionally, 16 drivers were reported as having fallen asleep, fainted, or being fatigued.

Driver Condition

1
Apparently Normal704 (85.2%)
2
Other/Unknown49 (5.9%)
3
Under the Influence of Medications / Drugs / Alcohol46 (5.6%)
4
Fell Asleep; Fainted; Fatigued; etc.16 (1.9%)
5
Emotional (E.G.; Depressed; Angry; Disturbed)6 (0.7%)
6
Physical Impairment5 (0.6%)

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 840 drivers involved in crashes, 38 were identified with a specific distraction. The most common was 'Other distraction inside the vehicle,' cited for 20 drivers. This was followed by 'Other distraction outside the vehicle' (8 drivers) and 'Manually operating an electronic communication device' (4 drivers).

Driver Distraction

1
Not Distracted691 (84.4%)
2
Other/Unknown88 (10.7%)
3
Other distraction inside the vehicle20 (2.4%)
4
Other distraction outside the vehicle8 (1%)
5
Manually operating an electronic communication device (texting; typing; dialing)4 (0.5%)
6
Other activity with an electronic device3 (0.4%)
7
Passenger3 (0.4%)
8
Talking on hand-held communication device1 (0.1%)
9
Talking on hands-free communication device1 (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 majority of crashes, 381 out of 574, occurred on straight and level sections of roadway. However, road geometry was a factor in a significant portion of incidents. Crashes on curves accounted for 118 incidents (20.6%), while crashes on grades (either straight or curved) accounted for 127 incidents (22.1%).

Road Alignment

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

Top Cities

The highest concentration of crashes within the county occurred in Waverly, which recorded 116 incidents. This was followed by Pee Pee Township with 77 crashes and Newton Township with 49 crashes. Together, these three areas accounted for more than 42% of all crashes in Pike County.

Top Cities

1
Waverly116 (20.2%)
2
Pee Pee77 (13.4%)
3
Newton49 (8.5%)
4
Pebble44 (7.7%)
5
Seal43 (7.5%)
6
Jackson37 (6.4%)
7
Benton34 (5.9%)
8
Beaver32 (5.6%)
9
Scioto30 (5.2%)

Showing top 9 of 16 reported. 7 additional (112 total) not shown: Mifflin, Marion, Piketon, Union, Camp Creek, Sunfish, Perry.

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 840 drivers involved was 'Straight Ahead,' accounting for 530 drivers. The next most frequent actions were 'Negotiating a Curve' with 90 drivers, and 'Slowing or Stopped In Traffic' and 'Making Left Turn', each with 74 drivers.

Pre-Crash Driver Action

1
Straight Ahead530 (60.7%)
2
Negotiating a Curve90 (10.3%)
3
Slowing or Stopped In Traffic74 (8.5%)
4
Making Left Turn74 (8.5%)
5
Making Right Turn25 (2.9%)
6
Parked20 (2.3%)
7
Backing13 (1.5%)
8
Entering Traffic Lane12 (1.4%)
9
Overtaking/Passing9 (1%)

Showing top 9 of 14 reported. 5 additional (26 total) not shown: Changing Lanes, Driverless, Other/Unknown, Walking; Running; Jogging; Playing, 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

Single-vehicle crashes, categorized as 'Not Collision Between Two Vehicles in Transport,' were the most frequent type of incident, accounting for 306 crashes or 53.3% of the total. Among multi-vehicle crashes, angle collisions were the most common, with 115 incidents (20.0%), followed by rear-end collisions with 81 incidents (14.1%).

Manner of Collision

"Other" combines 2 smaller categories (5 records): Backing (3), Rear-to-rear (2).

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 401 units recorded. Sport Utility Vehicles (177 units) and Pick up trucks (176 units) were the next most frequent. Commercial vehicles, including semi-tractors, single unit trucks, and cargo vans, were involved in a total of 64 instances.

Vehicle Type

"Other" combines 14 smaller categories (41 records): Unknown or Hit/Skip (8), Motorcycle 2 Wheeled (7), Van (9-15 Seats) (5), Pedestrian/Skater (4), Other Vehicle (4), Bus (16+ Passengers) (3), All Terrain Vehicle (ATV/UTV) (2), Golf Cart (2), Motorhome (1), Motorcycle 3 Wheeled (1), Heavy Equipment (1), Farm Equipment (1), Bicycle (1), Animal with Rider or Animal Drawn Vehicle (1).

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

Person Type

A total of 1,143 individuals were involved in crashes in Pike County. The majority of these were drivers, with 840 recorded. There were also 299 vehicle occupants (passengers) and 4 pedestrians involved in the 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

Out of 1,143 people involved in crashes, 4 individuals sustained fatal injuries and 211 sustained some level of non-fatal injury. This includes 34 people with serious injuries, 116 with minor injuries, and 61 with possible injuries. The remaining 908 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 for whom safety equipment use was recorded, 911 were reported as using a shoulder and lap belt. In contrast, 88 individuals were reported as having used no safety equipment. Additionally, 48 occupants were secured by a child restraint system or booster seat.

Occupant Safety Equipment

"Other" combines 2 smaller categories (6 records): Helmet Used (3), Shoulder Belt Only Used (3).

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

Of the 574 crashes in 2021, 293 (51.1%) were single-vehicle incidents. Two-vehicle crashes were also common, accounting for 263 incidents (45.8%). Crashes involving three or more vehicles were less frequent, with only 18 such incidents recorded.

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: 574
  • Total persons involved: 1,143
  • Total vehicles involved: 873

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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