Yearly Traffic Safety Analysis

2,825 CRASHES IN
OHIO, OH
2021

In 2021, Fairfield County recorded 2,825 traffic crashes, resulting in 21 fatalities and 1,072 injuries. A notable finding from the data is that the most common crash classification was single-vehicle incidents, categorized as 'Not Collision Between Two Vehicles in Transport', which accounted for 778 crashes, or 27.5% of the total.

2,825

Total Crash Events

21

Persons Killed

1,072

Persons Injured

15.4%

Hit-and-Run Rate

Note: "Persons Killed" (21) counts individual fatalities across all crash events. "Fatal" in the severity table below (17) 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

435

Hit-and-Run Crashes — 2021

Based on initial officer determinations, 435 crashes in 2021 were classified as hit-and-run incidents. This represents 15.4% of all crashes in Fairfield County during this period.

Vulnerable Road User Casualties

Motorists comprised the largest group of individuals killed or injured, with 18 fatalities and 1,051 injuries. Crashes also resulted in 3 pedestrian fatalities and 21 pedestrian injuries. There were no cyclist fatalities or injuries recorded in the 2021 data.

3

Pedestrians Killed

18

Motorists Killed

21

Pedestrians Injured

1,051

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 Fridays, with 503 incidents, and a daily peak during the 3 p.m. hour, which saw 276 crashes. The majority of collisions, 1,939 in total, occurred during daylight hours. Crashes in darkness, both on lighted and unlighted roads, accounted for a combined 703 incidents.

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, 2,045 or 72.4%, resulted in no injuries. Injury-related crashes, including those with serious, minor, or possible injuries, accounted for 763 incidents (27.0%). There were 17 fatal crashes, representing 0.6% of the total, which resulted in 21 individual fatalities.

Severity is per crash event (most severe injury). 17 fatal crash events resulted in 21 persons killed.

Outcome by Severity (Crash Events)

Fatal17fatal crashes0.6%
Serious Injury99serious injury crashes3.5%
Minor Injury375minor injury crashes13.3%
Possible Injury289possible injury crashes10.2%
No Injury2,045no injury crashes72.4%

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

A significant majority of crashes occurred in favorable conditions, with 78.9% (2,229 crashes) on dry road surfaces and 68.6% (1,939 crashes) during daylight. Clear weather was reported for 1,738 incidents. Adverse conditions were less frequent, with 470 crashes on wet roads and 256 occurring during rain.

Weather

Clear1,738 (61.5%)
Cloudy702 (24.8%)
Rain256 (9.1%)
Snow83 (2.9%)
Other/Unknown26 (0.9%)
Fog; Smog; Smoke9 (0.3%)
Sleet; Hail7 (0.2%)
Freezing Rain or Freezing Drizzle2 (0.1%)
Blowing Sand; Soil; Dirt; Snow1 (0.0%)
Severe Crosswinds1 (0.0%)

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

Lighting

Daylight1,939 (68.6%)
Dark - Roadway Not Lighted353 (12.5%)
Dark - Lighted Roadway350 (12.4%)
Dawn/Dusk150 (5.3%)
Other/Unknown20 (0.7%)
Dark - Unknown Roadway Lighting13 (0.5%)

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

Road Surface

Dry2,229 (78.9%)
Wet470 (16.6%)
Snow70 (2.5%)
Ice31 (1.1%)
Other/Unknown22 (0.8%)
Slush3 (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 6,692 people involved in crashes, the most represented age groups were 26-34 years old (977 people), 16-20 years old (936 people), and 35-44 years old (879 people). The vehicle makes most frequently involved in collisions were Ford (768 vehicles), Chevrolet (731 vehicles), and Honda (671 vehicles).

Top Vehicle Makes (5,199 vehicles)

1
FORD768 (14.8%)
2
CHEVROLET731 (14.1%)
3
HONDA671 (12.9%)
4
TOYOTA438 (8.4%)
5
NISSAN265 (5.1%)
6
DODGE248 (4.8%)
7
KIA227 (4.4%)
8
HYUNDAI215 (4.1%)
9
JEEP195 (3.8%)
10
GMC136 (2.6%)

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

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

Sex Distribution (6,427 persons with recorded sex)

Male3,406 (53.0%)
Female3,021 (47.0%)

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, 2,356 incidents, occurred on the primary roadway. However, a notable number of crashes were run-off-road events, with 444 incidents originating off the main travel lanes. This includes 287 crashes on the roadside, 84 on the shoulder, and 60 outside the trafficway.

Crash Location (First Harmful Event)

"Other" combines 3 smaller categories (9 records): Crossover (4), Driveway/Alley access (3), Off ramp (2).

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 at crash locations shows that a majority of vehicles involved, 3,120 units, were in areas with no traffic control device. Crashes at signalized intersections involved 1,600 vehicles, while 420 vehicles were involved in crashes 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 frequently cited contributing factor for drivers was 'Following too Close / ACDA', noted for 685 vehicles. This was followed by 'Failure to Yield', which was a factor for 488 vehicles, and 'Drove off Road', cited for 347 vehicles.

Driver Contributing Factor

1
Following too Close / ACDA685 (24.9%)
2
Failure to Yield488 (17.8%)
3
Drove off Road347 (12.6%)
4
Other Improper Action315 (11.5%)
5
Not Discernible144 (5.2%)
6
Improper Lane Change143 (5.2%)
7
Improper Backing122 (4.4%)
8
Ran Red Light106 (3.9%)
9
Left of Center77 (2.8%)

Showing top 9 of 22 reported. 13 additional (319 total) not shown: Improper Turn, Improper Passing, Ran Stop Sign, Unsafe Speed, Swerving to Avoid, Operating Defective Equipment, Improper Start From a Parked Position, Improper Crossing, Load shifting/Falling/Spilling, Stopped or Parked Illegally, Vision Obstruction, Wrong Way, Opening Door into Roadway.

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

Commercial / Truck Involvement

The data indicates that 127 commercial trucks were involved in crashes in 2021. Of these, 67 were identified as semi-tractor trailers and 60 were classified as other types of commercial vehicles.

Vulnerable Road Users & Motorcycles

Crashes involved 92 individuals identified as motorcyclists, pedestrians, or bicyclists. Among these, there were 40 crashes involving vulnerable road users, specifically 24 involving pedestrians and 16 involving bicyclists. Motorcyclists were involved in 52 crashes.

Animal-Involved Crashes

There were 123 crashes involving animals, accounting for 4.4% of all reported incidents. Deer were the most common animal involved, accounting for 115 of these crashes, or 93.5% of all animal-related collisions.

Impairment (Alcohol / Drugs)

Impairment was a factor in 159 crashes, representing 5.6% of the total. Alcohol was the sole factor in 106 of these incidents, while drugs were the sole factor in 28, and a combination of alcohol and drugs was noted in 25 cases.

Driver Condition

Among all drivers, 218 were recorded as having a condition other than 'Apparently Normal'. The most cited condition was 'Under the Influence of Medications / Drugs / Alcohol', noted for 128 drivers. Other reported conditions included 'Fell Asleep; Fainted; Fatigued' and 'Physical Impairment', each recorded for 29 drivers.

Driver Condition

1
Apparently Normal4,304 (89.6%)
2
Other/Unknown284 (5.9%)
3
Under the Influence of Medications / Drugs / Alcohol128 (2.7%)
4
Fell Asleep; Fainted; Fatigued; etc.29 (0.6%)
5
Physical Impairment29 (0.6%)
6
Emotional (E.G.; Depressed; Angry; Disturbed)22 (0.5%)
7
Illness10 (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 the 4,894 drivers involved in crashes, 216 were noted as being distracted. The most common distractions were 'Other distraction inside the vehicle' (91 drivers) and 'Other distraction outside the vehicle' (55 drivers). Manually operating an electronic communication device was cited as a distraction for 30 drivers.

Driver Distraction

1
Not Distracted4,237 (89.1%)
2
Other/Unknown304 (6.4%)
3
Other distraction inside the vehicle91 (1.9%)
4
Other distraction outside the vehicle55 (1.2%)
5
Manually operating an electronic communication device (texting; typing; dialing)30 (0.6%)
6
Other activity with an electronic device20 (0.4%)
7
Passenger13 (0.3%)
8
Talking on hands-free communication device4 (0.1%)
9
Talking on hand-held communication device3 (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

Most crashes (2,260) occurred on straight and level road segments. However, roadway geometry played a role in a portion of incidents, with 264 crashes occurring on curves and 416 crashes taking place on grades (either straight or curved).

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. The city of Lancaster accounted for the highest volume with 1,191 crashes, followed by Pickerington with 380 and the township of Violet with 249. Together, these three locations represented 64.4% of all crashes in the county.

Top Cities

1
Lancaster1,191 (42.2%)
2
Pickerington380 (13.5%)
3
Violet249 (8.8%)
4
Greenfield145 (5.1%)
5
Reynoldsburg118 (4.2%)
6
Hocking101 (3.6%)
7
Pleasant100 (3.5%)
8
Berne96 (3.4%)
9
Walnut78 (2.8%)

Showing top 9 of 28 reported. 19 additional (367 total) not shown: Amanda, Bloom, Liberty, Clearcreek, Rush Creek, Richland, Canal Winchester, Columbus, Lithopolis, Madison, Baltimore, Millersport, Carroll, Thurston, Bremen, Pleasantville, Rushville, Sugar Grove, Stoutsville.

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 5,199 vehicles involved was 'Straight Ahead', which was recorded for 2,885 vehicles. The next most frequent actions were 'Slowing or Stopped In Traffic' (660 vehicles) and 'Making Left Turn' (496 vehicles).

Pre-Crash Driver Action

1
Straight Ahead2,885 (55.5%)
2
Slowing or Stopped In Traffic660 (12.7%)
3
Making Left Turn496 (9.5%)
4
Parked262 (5%)
5
Making Right Turn190 (3.7%)
6
Backing171 (3.3%)
7
Negotiating a Curve135 (2.6%)
8
Changing Lanes128 (2.5%)
9
Other/Unknown98 (1.9%)

Showing top 9 of 19 reported. 10 additional (174 total) not shown: Entering Traffic Lane, Overtaking/Passing, Leaving Traffic Lane, Walking; Running; Jogging; Playing, Driverless, Making U-Turn, Working, Other Non-Motorist, Entering or Crossing Specified Location, Standing.

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

Manner of Collision

The most frequent crash type was a single-vehicle event, categorized as 'Not Collision Between Two Vehicles in Transport', accounting for 27.5% (778 crashes) of all incidents. This was followed closely by rear-end collisions (731 crashes, 25.9%) and angle collisions (710 crashes, 25.1%).

Manner of Collision

"Other" combines 2 smaller categories (66 records): Sideswipe; opposite direction (54), Rear-to-rear (12).

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 2,482 units, making up 47.7% of all vehicles. Sport Utility Vehicles were the second most common, with 1,327 units (25.5%). Commercial vehicles, including semi-tractors, single-unit trucks, and buses, accounted for 217 vehicle involvements.

Vehicle Type

"Other" combines 14 smaller categories (231 records): Single Unit Truck (54), Motorcycle 2 Wheeled (54), Other Vehicle (30), Pedestrian/Skater (25), Bus (16+ Passengers) (20), Bicycle (17), Van (9-15 Seats) (11), Farm Equipment (7), Motorhome (5), Heavy Equipment (4), All Terrain Vehicle (ATV/UTV) (1), Moped or Motorized Bicycle (1), Golf Cart (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

Of the 6,692 individuals involved in crashes, the majority were drivers (4,894 people, or 73.1%). Passengers accounted for 1,772 individuals (26.5%), while pedestrians made up a smaller portion with 26 individuals (0.4%).

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 6,692 people involved, 16.0% (1,072 individuals) sustained some level of injury, ranging from possible to serious. A total of 21 individuals, or 0.3% of all persons involved, sustained fatal injuries. The vast majority, 81.8% or 5,476 people, 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 all 6,692 crash participants, 5,349 were recorded as using a shoulder and lap belt. However, 474 individuals, or 7.1% of the total, were recorded as using no safety equipment at all. An additional 138 individuals were secured in a forward-facing child restraint system.

Occupant Safety Equipment

"Other" combines 3 smaller categories (58 records): Lap Belt Only Used (36), Helmet Used (21), Reflective Clothing (1).

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 2,018 incidents or 71.4% of all crashes. Single-vehicle crashes were also frequent, with 640 incidents representing 22.7% of the total. Multi-vehicle crashes were less common, with the largest pile-up involving seven 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: 2,825
  • Total persons involved: 6,692
  • Total vehicles involved: 5,199

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