Yearly Traffic Safety Analysis

843 CRASHES IN
OHIO, OH
2021

In 2021, Fayette County recorded 843 traffic crashes, which resulted in 4 fatalities and 317 injuries. A significant portion of these incidents, 48.6%, did not involve a collision between two moving vehicles, indicating a high frequency of single-vehicle crashes. Crashes involving a driver suspected of impairment accounted for 4.4% of all collisions.

843

Total Crash Events

4

Persons Killed

317

Persons Injured

11.9%

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

100

Hit-and-Run Crashes — 2021

In 2021, 100 crashes in Fayette County were classified as hit-and-run incidents, accounting for 11.9% of all reported collisions. This determination is based on the initial assessment made by the responding law enforcement officer at the scene of the crash.

Vulnerable Road User Casualties

In 2021, vehicle motorists accounted for all 4 fatalities and the vast majority of injuries, with 314 motorists injured. There were no cyclist fatalities or injuries reported. Three pedestrians were injured in crashes, but no pedestrian fatalities occurred during this period.

0

Pedestrians Killed

4

Motorists Killed

3

Pedestrians Injured

314

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 occurrences in Fayette County peaked on Thursdays, with 134 incidents recorded in 2021. The most frequent time for crashes was the 3 p.m. hour, which saw 70 collisions. Overall, crashes were most common during daylight hours, with 516 incidents (61.2%) occurring in daylight, and a pronounced peak during the afternoon from 2 p.m. to 6 p.m.

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% (619 incidents), resulted in no injuries. Injury-sustaining crashes accounted for 26.1% of the total, comprising 22 serious injury, 112 minor injury, and 86 possible injury crashes. There were 4 fatal crashes recorded, which resulted in a total of 4 fatalities.

Outcome by Severity (Crash Events)

Fatal4fatal crashes0.5%
Serious Injury22serious injury crashes2.6%
Minor Injury112minor injury crashes13.3%
Possible Injury86possible injury crashes10.2%
No Injury619no 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

The vast majority of crashes occurred in ideal driving conditions, with 72.1% happening in clear weather and 80.2% on dry road surfaces. Daylight conditions were present for 61.2% of all incidents. Adverse weather was a factor in a minority of cases, with 68 crashes occurring during rain and 25 during snow.

Weather

Clear608 (72.1%)
Cloudy127 (15.1%)
Rain68 (8.1%)
Snow25 (3.0%)
Fog; Smog; Smoke5 (0.6%)
Other/Unknown4 (0.5%)
Freezing Rain or Freezing Drizzle3 (0.4%)
Sleet; Hail2 (0.2%)
Severe Crosswinds1 (0.1%)

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

Lighting

Daylight516 (61.2%)
Dark - Roadway Not Lighted214 (25.4%)
Dark - Lighted Roadway63 (7.5%)
Dawn/Dusk43 (5.1%)
Other/Unknown6 (0.7%)
Dark - Unknown Roadway Lighting1 (0.1%)

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

Road Surface

Dry676 (80.2%)
Wet117 (13.9%)
Ice24 (2.8%)
Snow21 (2.5%)
Other/Unknown3 (0.4%)
Slush2 (0.2%)

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 1,835 people involved in crashes shows the 26-34 age group was the most represented, with 278 individuals. Among the 1,358 vehicles involved, passenger cars were most common (578), followed by sport utility vehicles (317). The most frequently recorded vehicle makes were Chevrolet (235 vehicles), Ford (212 vehicles), and Toyota (99 vehicles).

Top Vehicle Makes (1,358 vehicles)

1
CHEVROLET235 (17.3%)
2
FORD212 (15.6%)
3
TOYOTA99 (7.3%)
4
HONDA91 (6.7%)
5
DODGE84 (6.2%)
6
HYUNDAI57 (4.2%)
7
JEEP55 (4.1%)
8
CHRYSLER48 (3.5%)
9
NISSAN47 (3.5%)
10
GMC47 (3.5%)

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

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

Sex Distribution (1,750 persons with recorded sex)

Male988 (56.5%)
Female762 (43.5%)

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 (616 incidents) occurred on the primary roadway. However, a notable 25.1% of crashes (212 incidents) were run-off-road events, where the first harmful event took place on the roadside, shoulder, median, or outside the trafficway. Specifically, 113 crashes occurred on the roadside and 67 occurred outside the trafficway.

Crash Location (First Harmful Event)

"Other" combines 3 smaller categories (4 records): Other/Unknown (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

The majority of vehicles involved in crashes were at locations with no traffic control, accounting for 983 vehicles. Crashes at signalized intersections involved 206 vehicles, while those at intersections with stop signs involved 155 vehicles. Overall, 72.5% of vehicles in crashes were at locations without active traffic controls.

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 factor cited for drivers was 'Drove off Road,' which was noted in 171 instances. This was followed by 'Following too Close / ACDA' with 131 citations and 'Failure to Yield' with 121. Together, these three factors account for a significant portion of all documented driver actions leading to collisions.

Driver Contributing Factor

1
Drove off Road171 (24.1%)
2
Following too Close / ACDA131 (18.5%)
3
Failure to Yield121 (17.1%)
4
Other Improper Action49 (6.9%)
5
Improper Backing35 (4.9%)
6
Improper Lane Change33 (4.7%)
7
Not Discernible25 (3.5%)
8
Left of Center25 (3.5%)
9
Ran Stop Sign24 (3.4%)

Showing top 9 of 22 reported. 13 additional (95 total) not shown: Swerving to Avoid, Unsafe Speed, Improper Turn, Ran Red Light, Improper Passing, Operating Defective Equipment, Load shifting/Falling/Spilling, Improper Start From a Parked Position, Vision Obstruction, Stopped or Parked Illegally, Opening Door into Roadway, Lying in Roadway, Improper Crossing.

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 85 incidents, or 10.1% of all crashes in 2021. Among these, semi-tractor trailers were the most common type, involved in 66 crashes. The remaining 19 incidents involved other types of commercial vehicles.

Vulnerable Road Users & Motorcycles

There were 19 crashes involving vulnerable road users or motorcyclists. Of these, 11 involved a motorcyclist, 5 involved a bicyclist, and 3 involved a pedestrian. Combined, crashes involving pedestrians and bicyclists accounted for 8 incidents, representing just under 1% of all crashes.

Animal-Involved Crashes

Collisions with animals were a factor in 113 crashes, making up 13.4% of the total for the year. The vast majority of these incidents, 104 crashes, involved deer. An additional 9 crashes were attributed to collisions with other types of animals.

Impairment (Alcohol / Drugs)

Impairment was a factor in 37 crashes, representing 4.4% of all collisions in 2021. Alcohol was the most frequently cited substance, involved in 24 incidents. Drug impairment was noted in 10 crashes, and a combination of alcohol and drugs was a factor in 3 crashes.

Driver Condition

While most drivers were recorded as 'Apparently Normal,' specific adverse conditions were noted for 64 drivers, or 5.1% of the total. The most common conditions were driving under the influence of medications, drugs, or alcohol (29 drivers) and falling asleep, fainting, or being fatigued (24 drivers). Other noted conditions included emotional distress and illness.

Driver Condition

1
Apparently Normal1,123 (90.5%)
2
Other/Unknown54 (4.4%)
3
Under the Influence of Medications / Drugs / Alcohol29 (2.3%)
4
Fell Asleep; Fainted; Fatigued; etc.24 (1.9%)
5
Emotional (E.G.; Depressed; Angry; Disturbed)5 (0.4%)
6
Illness4 (0.3%)
7
Physical Impairment2 (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 all drivers, 56 were identified as being distracted at the time of their crash. The most cited issues were 'Other distraction inside the vehicle' (20 drivers) and 'Other distraction outside the vehicle' (16 drivers). Manually operating an electronic device like texting or dialing was a factor for 13 drivers.

Driver Distraction

1
Not Distracted1,081 (87.2%)
2
Other/Unknown102 (8.2%)
3
Other distraction inside the vehicle20 (1.6%)
4
Other distraction outside the vehicle16 (1.3%)
5
Manually operating an electronic communication device (texting; typing; dialing)13 (1%)
6
Other activity with an electronic device3 (0.2%)
7
Passenger2 (0.2%)
8
Talking on hand-held communication device2 (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

The majority of crashes, 731 incidents, occurred on straight and level road segments. However, roadway geometry played a role in some collisions, with 75 crashes (8.9%) happening on curves and 52 crashes (6.2%) occurring on grades. Crashes on segments with both a curve and a grade accounted for 15 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 was concentrated in a few key areas, with Washington Court House accounting for the largest share at 269 crashes (31.9% of the total). Union followed with 163 crashes (19.3%), and Jefferson recorded 130 crashes (15.4%). These three municipalities represent the locations for over two-thirds of all crashes in the county.

Top Cities

1
Washington Court House269 (31.9%)
2
Union163 (19.3%)
3
Jefferson130 (15.4%)
4
Paint55 (6.5%)
5
Wayne50 (5.9%)
6
Madison33 (3.9%)
7
Concord26 (3.1%)
8
Perry25 (3%)
9
Green23 (2.7%)

Showing top 9 of 16 reported. 7 additional (69 total) not shown: Jasper, Marion, Jeffersonville, Fayette, Bloomingburg, Octa, Milledgeville.

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

Pre-Crash Driver Action

Analysis of vehicle actions prior to collision shows that the majority of vehicles, 883 or 65.0%, were proceeding straight ahead. The second most common pre-crash action was slowing or stopping in traffic, which was the case for 124 vehicles (9.1%). Making a left turn was the third most frequent action, recorded for 97 vehicles.

Pre-Crash Driver Action

1
Straight Ahead883 (65%)
2
Slowing or Stopped In Traffic124 (9.1%)
3
Making Left Turn97 (7.1%)
4
Parked70 (5.2%)
5
Negotiating a Curve51 (3.8%)
6
Backing40 (2.9%)
7
Making Right Turn30 (2.2%)
8
Changing Lanes21 (1.5%)
9
Entering Traffic Lane15 (1.1%)

Showing top 9 of 18 reported. 9 additional (27 total) not shown: Other/Unknown, Overtaking/Passing, Driverless, Making U-Turn, Working, Other Non-Motorist, Entering or Crossing Specified Location, Walking; Running; Jogging; Playing, Leaving Traffic Lane.

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 crashes (410 incidents, or 48.6%) were not collisions between two vehicles in transport, indicating a high rate of single-vehicle incidents. Among multi-vehicle crashes, angle collisions were the most frequent type, accounting for 191 crashes (22.7%). Rear-end collisions were the next most common, with 136 incidents (16.1%).

Manner of Collision

"Other" combines 2 smaller categories (9 records): Other/Unknown (8), 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 578 units recorded, followed by Sport Utility Vehicles (317) and Pick-up trucks (217). Commercial vehicles, including 71 semi-tractors and 15 single-unit trucks, were also present in the data. There were 11 motorcycles and 5 bicycles involved in crashes during this period.

Vehicle Type

"Other" combines 10 smaller categories (60 records): Single Unit Truck (15), Motorcycle 2 Wheeled (11), Other Vehicle (7), Bus (16+ Passengers) (7), Van (9-15 Seats) (5), Bicycle (5), Farm Equipment (5), Pedestrian/Skater (3), Motorhome (1), All Terrain Vehicle (ATV/UTV) (1).

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

Person Type

Of the 1,835 individuals involved in crashes, the majority were drivers, accounting for 1,267 people (69.0%). Vehicle occupants (passengers) made up the next largest group with 565 individuals (30.8%). A small number of non-motorists were involved, including 3 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

Across all 1,835 people involved in crashes, 317 individuals sustained some level of injury, representing 17.3% of the total. This includes 24 serious injuries, 158 minor injuries, and 135 possible injuries. Four individuals suffered fatal injuries, accounting for 0.2% of all persons involved.

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 majority of vehicle occupants, 1,497 individuals, were reported as using a shoulder and lap belt. However, 131 people involved in crashes were recorded as using no safety equipment, representing 7.2% of occupants for whom restraint use was documented. Child restraint systems were used by 85 children, including forward-facing, rear-facing, and booster seats.

Occupant Safety Equipment

"Other" combines 2 smaller categories (7 records): Shoulder Belt Only Used (4), Helmet 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

Two-vehicle collisions were the most common scenario, accounting for 454 crashes (53.9%). Single-vehicle crashes were also frequent, with 361 incidents representing 42.8% of the total. Crashes involving three or more vehicles were less common, though there were two incidents involving five vehicles each.

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: 843
  • Total persons involved: 1,835
  • Total vehicles involved: 1,358

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