Yearly Traffic Safety Analysis

1,282 CRASHES IN
OHIO, OH
2021

In 2021, Pickaway County recorded 1,282 traffic crashes, resulting in 11 fatalities and 490 injuries. A significant portion of these incidents, 42.9%, were single-vehicle crashes classified as 'Not Collision Between Two Vehicles in Transport', making it the most frequent collision type reported.

1,282

Total Crash Events

11

Persons Killed

490

Persons Injured

10.5%

Hit-and-Run Rate

Note: "Persons Killed" (11) counts individual fatalities across all crash events. "Fatal" in the severity table below (11) 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

134

Hit-and-Run Crashes — 2021

In 2021, 134 crashes in Pickaway County were classified as hit-and-runs, accounting for 10.5% of all incidents. This determination is based on the initial report from the responding law enforcement officer at the scene of the crash.

Vulnerable Road User Casualties

In 2021, motorists accounted for all 11 traffic fatalities and 479 of the 490 total injuries in Pickaway County. While there were no pedestrian or cyclist fatalities, 11 pedestrians were injured in crashes. No injuries were recorded for cyclists during this period.

0

Pedestrians Killed

11

Motorists Killed

11

Pedestrians Injured

479

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 Pickaway County during 2021 show a clear peak on Fridays, which saw 211 incidents. The most common time for crashes was the 4 p.m. hour with 109 occurrences, aligning with the evening commute. A majority of crashes, 774 out of 1,282, happened during daylight hours.

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 were property-damage-only, with 923 incidents (72.0%) resulting in no injuries. Injury-involved crashes, ranging from possible to serious, accounted for 348 collisions. There were 11 fatal crashes, which resulted in a total of 11 fatalities.

Outcome by Severity (Crash Events)

Fatal11fatal crashes0.9%
Serious Injury40serious injury crashes3.1%
Minor Injury189minor injury crashes14.7%
Possible Injury119possible injury crashes9.3%
No Injury923no injury crashes72%

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 ideal driving conditions, with 77.7% of incidents (996) happening on dry roads and 62.9% (806) in clear weather. Most crashes, 774 out of 1,282, also occurred during daylight hours. Crashes in adverse weather included 123 in rain and 42 in snow.

Weather

Clear806 (62.9%)
Cloudy282 (22.0%)
Rain123 (9.6%)
Snow42 (3.3%)
Other/Unknown12 (0.9%)
Fog; Smog; Smoke9 (0.7%)
Freezing Rain or Freezing Drizzle6 (0.5%)
Severe Crosswinds2 (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

Daylight774 (60.4%)
Dark - Roadway Not Lighted312 (24.3%)
Dawn/Dusk97 (7.6%)
Dark - Lighted Roadway68 (5.3%)
Dark - Unknown Roadway Lighting18 (1.4%)
Other/Unknown13 (1.0%)

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

Road Surface

Dry996 (77.7%)
Wet217 (16.9%)
Snow33 (2.6%)
Ice22 (1.7%)
Other/Unknown11 (0.9%)
Sand; Mud; Dirt; Oil; Gravel2 (0.2%)
Slush1 (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 2,688 individuals involved in crashes shows the 26-34 age group was the most represented, with 412 people, followed by the 35-44 age group with 377 people. Among the 2,100 vehicles involved, the most frequent makes were Ford (339), Chevrolet (331), and Honda (203).

Top Vehicle Makes (2,100 vehicles)

1
FORD339 (16.1%)
2
CHEVROLET331 (15.8%)
3
HONDA203 (9.7%)
4
TOYOTA156 (7.4%)
5
DODGE148 (7%)
6
HYUNDAI102 (4.9%)
7
NISSAN77 (3.7%)
8
JEEP72 (3.4%)
9
KIA68 (3.2%)
10
GMC61 (2.9%)

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

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

Sex Distribution (2,606 persons with recorded sex)

Male1,541 (59.1%)
Female1,065 (40.9%)

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 harmful event in most crashes (1,002 out of 1,282) occurred on the roadway itself. However, a notable 247 crashes, or 19.3% of the total, were run-off-road incidents. These include 110 crashes originating on the roadside, 81 on the shoulder, and 45 outside the designated trafficway.

Crash Location (First Harmful Event)

"Other" combines 3 smaller categories (5 records): Crossover (3), On ramp (1), Shared-use paths or trails (1).

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

Traffic Control Device

Among vehicles involved in crashes, the majority (1,436 units) were at locations with no traffic control device present. Crashes at signalized intersections involved 418 vehicles, while those at locations with stop signs involved 209 vehicles. A small number of vehicles were involved in crashes at locations with yield signs (13), flashers (5), or roundabouts (5).

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 factors for drivers involved in crashes were 'Following too Close / ACDA' (225 instances), 'Drove off Road' (223 instances), and 'Failure to Yield' (214 instances). Other significant factors included 'Unsafe Speed' and 'Improper Lane Change', each cited for 47 drivers.

Driver Contributing Factor

1
Following too Close / ACDA225 (20.8%)
2
Drove off Road223 (20.6%)
3
Failure to Yield214 (19.8%)
4
Other Improper Action102 (9.4%)
5
Unsafe Speed47 (4.3%)
6
Improper Lane Change47 (4.3%)
7
Left of Center36 (3.3%)
8
Improper Backing31 (2.9%)
9
Swerving to Avoid28 (2.6%)

Showing top 9 of 23 reported. 14 additional (128 total) not shown: Improper Passing, Not Discernible, Ran Stop Sign, Improper Turn, Ran Red Light, Operating Defective Equipment, Load shifting/Falling/Spilling, Stopped or Parked Illegally, Improper Start From a Parked Position, Lying in Roadway, Vision Obstruction, Improper Crossing, Opening Door into Roadway, Wrong Way.

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 110 incidents, representing 8.6% of all crashes in 2021. Among these, 76 crashes involved a semi-tractor trailer, while the remaining 34 involved other types of commercial vehicles.

Vulnerable Road Users & Motorcycles

In 2021, there were 40 crashes involving vulnerable road users or motorcyclists. This included 26 motorcycle crashes, 10 pedestrian-involved crashes, and 4 bicycle-involved crashes. Combined, incidents involving pedestrians and bicyclists accounted for 14 crashes, or 1.1% of the total.

Animal-Involved Crashes

Animal-related collisions were a significant factor, accounting for 153 crashes, or 11.9% of the total for the year. The vast majority of these, 145 incidents, involved collisions with deer. An additional 8 crashes involved other types of animals.

Impairment (Alcohol / Drugs)

Impairment was a factor in 62 crashes, representing 4.8% of all incidents in 2021. Among these, impairment by drugs was cited in 26 crashes, alcohol in 25 crashes, and a combination of alcohol and drugs in 11 crashes. These figures represent a minimum, as impairment can be under-reported.

Driver Condition

Beyond 'Apparently Normal' condition, specific driver states were noted for 99 of the 2,006 drivers involved in crashes. The most common condition was being 'Under the Influence of Medications / Drugs / Alcohol,' reported for 54 drivers. An additional 26 drivers were noted as having 'Fell Asleep; Fainted; Fatigued,' and 10 had a 'Physical Impairment'.

Driver Condition

1
Apparently Normal1,776 (90.2%)
2
Other/Unknown94 (4.8%)
3
Under the Influence of Medications / Drugs / Alcohol54 (2.7%)
4
Fell Asleep; Fainted; Fatigued; etc.26 (1.3%)
5
Physical Impairment10 (0.5%)
6
Emotional (E.G.; Depressed; Angry; Disturbed)5 (0.3%)
7
Illness4 (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

Driver distraction was identified as a factor for 123 drivers, while 1,719 were explicitly noted as not distracted. The most cited issues were 'Other distraction inside the vehicle' (54 drivers) and 'Other distraction outside the vehicle' (36 drivers). Manually operating an electronic communication device was a factor for 14 drivers.

Driver Distraction

1
Not Distracted1,719 (87.9%)
2
Other/Unknown114 (5.8%)
3
Other distraction inside the vehicle54 (2.8%)
4
Other distraction outside the vehicle36 (1.8%)
5
Manually operating an electronic communication device (texting; typing; dialing)14 (0.7%)
6
Other activity with an electronic device11 (0.6%)
7
Passenger5 (0.3%)
8
Talking on hands-free communication device2 (0.1%)
9
Talking on hand-held 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

While most crashes (955) occurred on straight, level roads, roadway geometry played a role in a subset of incidents. Crashes on curves accounted for 116 collisions, or 9.0% of the total. Roadways with a grade were the site of 252 crashes, representing 19.7% of all incidents.

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 Pickaway County was concentrated in several key areas. The City of Circleville saw the highest volume, with 354 crashes, accounting for 27.6% of the county's total. Following Circleville were the townships of Harrison (147 crashes), Pickaway (117 crashes), and Darby (91 crashes).

Top Cities

1
Circleville354 (27.6%)
2
Harrison147 (11.5%)
3
Pickaway117 (9.1%)
4
Darby91 (7.1%)
5
South Bloomfield88 (6.9%)
6
Scioto83 (6.5%)
7
Walnut74 (5.8%)
8
Salt Creek58 (4.5%)
9
Washington50 (3.9%)

Showing top 9 of 23 reported. 14 additional (220 total) not shown: Jackson, Ashville, Madison, Monroe, Wayne, Muhlenberg, Deer Creek, Perry, Williamsport, Tarlton, Orient, Darbyville, New Holland, Harrisburg.

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 'Straight Ahead,' which described the movement of 1,264 vehicles, or 60.2% of the total. The second most frequent action was 'Slowing or Stopped In Traffic,' noted for 233 vehicles. 'Making Left Turn' was the third most common action, involving 152 vehicles.

Pre-Crash Driver Action

1
Straight Ahead1,264 (60.2%)
2
Slowing or Stopped In Traffic233 (11.1%)
3
Making Left Turn152 (7.2%)
4
Parked77 (3.7%)
5
Making Right Turn66 (3.1%)
6
Negotiating a Curve60 (2.9%)
7
Backing45 (2.1%)
8
Changing Lanes44 (2.1%)
9
Other/Unknown44 (2.1%)

Showing top 9 of 19 reported. 10 additional (115 total) not shown: Leaving Traffic Lane, Entering Traffic Lane, Overtaking/Passing, Driverless, Making U-Turn, Walking; Running; Jogging; Playing, Entering or Crossing Specified Location, Standing Outside Disabled Vehicle, Standing, Working.

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 550 crashes or 42.9% of the total. Among multi-vehicle collisions, rear-end crashes were the most frequent, with 254 incidents (19.8%), followed by angle collisions with 233 incidents (18.2%).

Manner of Collision

"Other" combines 2 smaller categories (25 records): Head-on (23), 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, accounting for 1,020 of the 2,100 vehicles. Sport utility vehicles (374) and pickup trucks (366) were also frequently involved. Commercial vehicles, including 81 semi-tractors and 38 single-unit trucks, comprised a smaller but notable portion of the vehicles in collisions.

Vehicle Type

"Other" combines 13 smaller categories (125 records): Unknown or Hit/Skip (35), Motorcycle 2 Wheeled (27), Other Vehicle (13), Pedestrian/Skater (11), Van (9-15 Seats) (9), Farm Equipment (8), Bus (16+ Passengers) (7), Bicycle (4), Heavy Equipment (4), All Terrain Vehicle (ATV/UTV) (2), Motorcycle 3 Wheeled (2), Motorhome (2), 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

Of the 2,688 individuals involved in crashes, the vast majority were drivers, accounting for 2,006 people or 74.6% of the total. Vehicle occupants (passengers) made up the next largest group with 670 individuals. A smaller group of 12 pedestrians were also involved in these traffic 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

A total of 2,688 people were involved in crashes, with 501 of them sustaining an injury or being killed. This includes 11 fatalities, 55 serious injuries, 255 minor injuries, and 180 possible injuries. The remaining 2,141 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 the 2,676 vehicle occupants for whom safety equipment use was recorded, 2,070 were noted as using both a shoulder and lap belt. However, 255 individuals, or 9.5% of the total with available data, were reported as using no safety equipment at all. An additional 75 occupants used only a shoulder belt and 38 used only a lap belt.

Occupant Safety Equipment

"Other" combines 2 smaller categories (25 records): Booster Seat (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

The majority of crashes, 711 out of 1,282 (55.5%), involved two vehicles. Single-vehicle crashes were also very common, accounting for 521 incidents or 40.6% of the total. Crashes involving three or more vehicles were less frequent, with 44 incidents involving three vehicles and 6 involving four or more.

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: 1,282
  • Total persons involved: 2,688
  • Total vehicles involved: 2,100

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