Yearly Traffic Safety Analysis

354 CRASHES IN
CIRCLEVILLE, OH
2021

In 2021, Circleville experienced 354 traffic crashes, resulting in 2 fatalities and 100 injuries. A significant majority of these incidents, 78.8%, were classified as no-injury crashes. This indicates that while crashes are frequent, most do not lead to physical harm.

354

Total Crash Events

2

Persons Killed

100

Persons Injured

13.3%

Hit-and-Run Rate

Note: "Persons Killed" (2) counts individual fatalities across all crash events. "Fatal" in the severity table below (2) 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

47

Hit-and-Run Crashes — 2021

There were 47 hit-and-run crashes in Circleville during 2021, accounting for 13.3% of all reported incidents. This classification is based on the initial determination made by the responding officer at the scene of the crash.

Vulnerable Road User Casualties

Motorists accounted for all 2 fatalities and 94 injuries in 2021. Pedestrians sustained 6 injuries, with no pedestrian fatalities reported. There were no reported fatalities or injuries among cyclists during this period.

0

Pedestrians Killed

2

Motorists Killed

6

Pedestrians Injured

94

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

Analysis of crash timing reveals that Fridays experienced the highest number of incidents, with 74 crashes. The peak hour for crashes was 4 PM, recording 33 incidents. The majority of crashes, 68.6%, occurred during daylight hours, while 22.6% happened in dark conditions and 7.6% during dawn or dusk.

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

Out of 354 crashes, 2 incidents (0.6%) were fatal, resulting in 2 fatalities. A substantial 78.8% of crashes (279 incidents) were reported with no injuries. The remaining 21.2% (75 incidents) involved some level of injury, ranging from possible to serious.

Outcome by Severity (Crash Events)

Fatal2fatal crashes0.6%
Serious Injury8serious injury crashes2.3%
Minor Injury26minor injury crashes7.3%
Possible Injury39possible injury crashes11%
No Injury279no injury crashes78.8%

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

Most crashes occurred under optimal conditions: 71.2% in clear weather, 82.5% on dry road surfaces, and 68.6% during daylight. However, 43 crashes occurred in adverse weather conditions such as rain, snow, or fog, and 60 crashes happened on wet, snowy, or icy roads. Additionally, 80 crashes took place during dark hours.

Weather

Clear252 (71.2%)
Cloudy57 (16.1%)
Rain37 (10.5%)
Snow4 (1.1%)
Fog; Smog; Smoke2 (0.6%)
Other/Unknown2 (0.6%)

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

Lighting

Daylight243 (68.6%)
Dark - Roadway Not Lighted43 (12.1%)
Dark - Lighted Roadway32 (9.0%)
Dawn/Dusk27 (7.6%)
Dark - Unknown Roadway Lighting5 (1.4%)
Other/Unknown4 (1.1%)

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

Road Surface

Dry292 (82.5%)
Wet56 (15.8%)
Snow3 (0.8%)
Ice1 (0.3%)
Other/Unknown1 (0.3%)
Slush1 (0.3%)

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

Vehicles & Demographics

Among all persons involved, the 65+ age group was the most represented with 121 individuals, closely followed by the 21-25 age group with 114 individuals. Ford vehicles were involved in the highest number of incidents, totaling 113, with Chevrolet vehicles being the second most frequent at 94 incidents.

Top Vehicle Makes (651 vehicles)

1
FORD113 (17.4%)
2
CHEVROLET94 (14.4%)
3
HONDA66 (10.1%)
4
TOYOTA51 (7.8%)
5
DODGE46 (7.1%)
6
HYUNDAI35 (5.4%)
7
KIA27 (4.1%)
8
JEEP25 (3.8%)
9
NISSAN24 (3.7%)
10
GMC17 (2.6%)

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

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

Sex Distribution (775 persons with recorded sex)

Male433 (55.9%)
Female342 (44.1%)

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 majority of first harmful events, 297 incidents (83.9%), occurred on the roadway. A total of 31 crashes (8.7%) occurred off the main travel lanes, specifically on the roadside, shoulder, or in the median. This indicates a notable proportion of incidents involving vehicles departing the primary traffic path.

Crash Location (First Harmful Event)

"Other" combines 2 smaller categories (2 records): On ramp (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

Of the 651 vehicles involved in crashes, 366 (56.2%) were at locations with no traffic control present. Conversely, 198 vehicles (30.4%) were involved in crashes at signalized intersections. Stop signs were present for 71 vehicles involved in crashes.

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 frequent contributing factors among drivers were 'Failure to Yield,' accounting for 81 instances (12.4% of all vehicles). 'Following too Close / ACDA' was cited in 68 instances (10.4%), and 'Drove off Road' was a factor in 35 instances (5.4%). These factors represent the primary improper actions contributing to crashes.

Driver Contributing Factor

1
Failure to Yield81 (27%)
2
Following too Close / ACDA68 (22.7%)
3
Drove off Road35 (11.7%)
4
Other Improper Action32 (10.7%)
5
Improper Lane Change16 (5.3%)
6
Improper Backing12 (4%)
7
Improper Turn10 (3.3%)
8
Ran Red Light10 (3.3%)
9
Ran Stop Sign8 (2.7%)

Showing top 9 of 20 reported. 11 additional (28 total) not shown: Improper Passing, Left of Center, Swerving to Avoid, Not Discernible, Improper Start From a Parked Position, Improper Crossing, Unsafe Speed, Stopped or Parked Illegally, Vision Obstruction, Opening Door into Roadway, Operating Defective Equipment.

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

Commercial / Truck Involvement

Commercial vehicles were involved in 13 incidents, representing 2.0% of all vehicles in crashes. This total includes 8 semi-tractor trailers and 5 other commercial vehicles. The presence of these larger vehicles in crashes is a key area for safety analysis.

Vulnerable Road Users & Motorcycles

Vulnerable road users were involved in a notable number of incidents. There were 6 pedestrians and 2 bicyclists involved in crashes, totaling 8 vulnerable road users. Crashes involving pedestrians or bicyclists constituted 2.3% of all crashes.

Animal-Involved Crashes

Animal-related crashes accounted for 18 incidents, representing 5.1% of all crashes. Of these, 16 involved deer, while 2 involved other types of animals. This highlights deer as the predominant animal involved in collisions.

Impairment (Alcohol / Drugs)

Impairment was identified in 11 crashes, representing 3.1% of all incidents. Alcohol was a factor in 7 of these cases, while drugs were involved in 4 cases. These figures represent a baseline for impairment-related crashes, which may be under-reported.

Driver Condition

A total of 19 drivers (3.2% of all drivers) were reported with abnormal conditions at the time of their crash. This includes 10 drivers under the influence of medications, drugs, or alcohol, and 3 drivers who fell asleep, fainted, or were fatigued. Additionally, 3 drivers had physical impairments, 2 were emotional, and 1 was ill.

Driver Condition

1
Apparently Normal542 (90.8%)
2
Other/Unknown36 (6%)
3
Under the Influence of Medications / Drugs / Alcohol10 (1.7%)
4
Fell Asleep; Fainted; Fatigued; etc.3 (0.5%)
5
Physical Impairment3 (0.5%)
6
Emotional (E.G.; Depressed; Angry; Disturbed)2 (0.3%)
7
Illness1 (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

Distraction was a factor for 42 drivers, representing 7.0% of all drivers involved in crashes. The most common distractions included other distractions inside the vehicle (16 instances) and other distractions outside the vehicle (13 instances). Additionally, 6 drivers were engaged in other activities with an electronic device, and 4 were manually operating an electronic communication device.

Driver Distraction

1
Not Distracted509 (86%)
2
Other/Unknown41 (6.9%)
3
Other distraction inside the vehicle16 (2.7%)
4
Other distraction outside the vehicle13 (2.2%)
5
Other activity with an electronic device6 (1%)
6
Manually operating an electronic communication device (texting; typing; dialing)4 (0.7%)
7
Passenger2 (0.3%)
8
Talking on hands-free communication device1 (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

Road Alignment

Roadway alignment data shows that 8 crashes (2.3%) occurred on curves, while 84 crashes (23.7%) took place on road grades. The majority of crashes, 263, occurred on straight, level road segments. This indicates that grades are a more significant factor than curves in crash incidence for this period.

Road Alignment

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 reported was 'Straight Ahead,' accounting for 367 vehicles (56.4%). 'Slowing or Stopped In Traffic' was the second most frequent action, with 80 vehicles (12.3%). Additionally, 56 vehicles (8.6%) were reported as 'Making Left Turn' immediately prior to the crash.

Pre-Crash Driver Action

1
Straight Ahead367 (56.4%)
2
Slowing or Stopped In Traffic80 (12.3%)
3
Making Left Turn56 (8.6%)
4
Parked43 (6.6%)
5
Making Right Turn27 (4.1%)
6
Backing18 (2.8%)
7
Changing Lanes16 (2.5%)
8
Other/Unknown13 (2%)
9
Entering Traffic Lane13 (2%)

Showing top 9 of 16 reported. 7 additional (18 total) not shown: Leaving Traffic Lane, Walking; Running; Jogging; Playing, Negotiating a Curve, Entering or Crossing Specified Location, Driverless, Overtaking/Passing, 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

Rear-end collisions were the most common manner of collision, accounting for 94 incidents (26.6% of all crashes). Angle collisions followed closely with 89 incidents (25.1%). Additionally, 73 incidents (20.6%) were classified as 'Not Collision Between Two Vehicles in Transport,' indicating single-vehicle or non-motor-vehicle collisions.

Manner of Collision

"Other" combines 2 smaller categories (11 records): Head-on (10), 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 frequently involved vehicle type, accounting for 380 vehicles (58.4%) in crashes. Commercial vehicles, including semi-tractors, single unit trucks, cargo vans, and buses, collectively represented 27 vehicles (4.1%) involved in incidents. Sport Utility Vehicles and Pickups were also significantly represented.

Vehicle Type

"Other" combines 12 smaller categories (33 records): Motorcycle 2 Wheeled (6), Pedestrian/Skater (6), Single Unit Truck (5), Other Vehicle (3), Bus (16+ Passengers) (3), Van (9-15 Seats) (2), Bicycle (2), All Terrain Vehicle (ATV/UTV) (2), Motorcycle 3 Wheeled (1), Heavy Equipment (1), Farm Equipment (1), Motorhome (1).

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

Person Type

Drivers constituted the largest group of persons involved in crashes, with 601 individuals (75.3%). Occupants accounted for 191 individuals (23.9%), representing passengers in vehicles. Pedestrians made up a smaller proportion, with 6 individuals (0.8%) involved in crashes.

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 all persons involved in crashes, 2 individuals (0.3%) sustained fatal injuries. A total of 100 individuals (12.5%) suffered some level of injury, ranging from serious to possible. The vast majority, 689 individuals, sustained no injuries.

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 participants with known safety equipment use, 88 individuals (11.8%) were reported as using no safety equipment. The majority, 551 individuals, used both shoulder and lap belts. Other forms of restraint, such as shoulder belt only, lap belt only, or child restraint systems, were used by a smaller proportion of participants.

Occupant Safety Equipment

"Other" combines 1 smaller categories (5 records): Helmet Used (5).

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

Single-vehicle crashes accounted for 73 incidents, representing 20.6% of all crashes. The most common scenario involved two vehicles, with 267 such incidents. Additionally, 14 crashes involved three or more 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: Circleville, OH
  • Total crash records analyzed: 354
  • Total persons involved: 798
  • Total vehicles involved: 651

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). "Circleville, 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/circleville/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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