Yearly Traffic Safety Analysis

504 CRASHES IN
FAIRBORN, OH
2021

In 2021, Fairborn, OH experienced 504 traffic crashes, resulting in 3 fatalities and 151 injuries. A notable finding is that 100 of these crashes, or 19.8%, were reported as hit-and-run incidents.

504

Total Crash Events

3

Persons Killed

151

Persons Injured

19.8%

Hit-and-Run Rate

Note: "Persons Killed" (3) counts individual fatalities across all crash events. "Fatal" in the severity table below (3) 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

There were 100 hit-and-run crashes in Fairborn during 2021, accounting for 19.8% of all crashes. This classification is based on the initial determination made by the responding officer at the crash scene.

Vulnerable Road User Casualties

In 2021, 2 motorists were killed and 144 motorists were injured in Fairborn crashes. Additionally, 1 pedestrian was killed and 7 pedestrians were injured. There were no cyclist fatalities or injuries reported.

1

Pedestrians Killed

2

Motorists Killed

7

Pedestrians Injured

144

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

Crashes in Fairborn peaked on Wednesdays with 87 incidents, and the peak hour for crashes was 4 PM, recording 44 incidents. The majority of crashes, approximately 64.1% (323 crashes), occurred during daytime hours between 6 AM and 5 PM.

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 504 crashes, 391 (77.6%) resulted in no injuries, indicating property-damage-only incidents. Injury crashes, encompassing serious, minor, and possible injuries, accounted for 110 incidents, or 21.8% of the total. There were 3 fatal crashes, resulting in 3 individual fatalities.

Outcome by Severity (Crash Events)

Fatal3fatal crashes0.6%
Serious Injury7serious injury crashes1.4%
Minor Injury56minor injury crashes11.1%
Possible Injury47possible injury crashes9.3%
No Injury391no injury crashes77.6%

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 occurred under favorable conditions, with 81.7% (412 crashes) happening in clear or cloudy weather and 75.0% (378 crashes) on dry road surfaces. Daylight conditions were present in 61.9% (312 crashes) of incidents.

Weather

Clear275 (54.6%)
Cloudy137 (27.2%)
Rain64 (12.7%)
Snow19 (3.8%)
Other/Unknown6 (1.2%)
Sleet; Hail2 (0.4%)
Fog; Smog; Smoke1 (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

Daylight312 (61.9%)
Dark - Lighted Roadway135 (26.8%)
Dawn/Dusk31 (6.2%)
Dark - Roadway Not Lighted17 (3.4%)
Other/Unknown7 (1.4%)
Dark - Unknown Roadway Lighting2 (0.4%)

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

Road Surface

Dry378 (75.0%)
Wet98 (19.4%)
Snow20 (4.0%)
Other/Unknown5 (1.0%)
Sand; Mud; Dirt; Oil; Gravel1 (0.2%)
Ice1 (0.2%)
Slush1 (0.2%)

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

Vehicles & Demographics

The most represented age group among persons involved in crashes was 26-34 years old, with 166 individuals, followed by 21-25 years old with 145 individuals. Passenger cars were the most frequently involved vehicle type, accounting for 560 vehicles, while Chevrolet (144 vehicles) and Ford (121 vehicles) were the top two vehicle makes involved.

Top Vehicle Makes (920 vehicles)

1
CHEVROLET144 (15.7%)
2
FORD121 (13.2%)
3
HONDA83 (9%)
4
TOYOTA58 (6.3%)
5
DODGE53 (5.8%)
6
HYUNDAI47 (5.1%)
7
NISSAN45 (4.9%)
8
JEEP28 (3%)
9
GMC25 (2.7%)
10
KIA24 (2.6%)

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

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

Sex Distribution (1,046 persons with recorded sex)

Female535 (51.1%)
Male511 (48.9%)

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)

A significant majority of crashes, 424 incidents, occurred directly on the roadway. Crashes occurring off the primary travel lanes, specifically on the roadside, shoulder, or in the median, collectively accounted for 63 incidents, representing 12.5% of all crashes.

Crash Location (First Harmful Event)

"Other" combines 1 smaller categories (1 records): On ramp (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, 527 were at locations with no traffic control, making it the dominant condition. Locations with signal control accounted for 301 vehicle involvements, while uncontrolled locations (no control, stop sign, or yield sign) collectively involved 604 vehicles.

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 reported contributing factors among drivers were "Following too Close / ACDA" (95 units, 25.4%), "Other Improper Action" (90 units, 24.1%), and "Failure to Yield" (90 units, 24.1%). "Drove off Road" and "Improper Backing" were also notable, with 34 and 31 units respectively.

Driver Contributing Factor

1
Following too Close / ACDA95 (19.9%)
2
Other Improper Action90 (18.9%)
3
Failure to Yield90 (18.9%)
4
Drove off Road34 (7.1%)
5
Improper Backing31 (6.5%)
6
Ran Red Light26 (5.5%)
7
Improper Turn26 (5.5%)
8
Improper Lane Change22 (4.6%)
9
Unsafe Speed16 (3.4%)

Showing top 9 of 20 reported. 11 additional (47 total) not shown: Left of Center, Ran Stop Sign, Swerving to Avoid, Improper Passing, Load shifting/Falling/Spilling, Improper Start From a Parked Position, Operating Defective Equipment, Not Discernible, Improper Crossing, Wrong Way, Vision Obstruction.

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 vehicles included 10 "Other Commercial Vehicle" incidents and 9 "Semi-Tractor Trailer" incidents, totaling 19 incidents. These commercial vehicle crashes constituted 3.8% of all crashes in Fairborn.

Vulnerable Road Users & Motorcycles

Crashes involving vulnerable road users included 9 pedestrians, 6 motorcyclists, and 4 bicyclists, totaling 19 incidents. The combined pedestrian and bicyclist crashes accounted for 13 incidents, representing 2.6% of all crashes.

Impairment (Alcohol / Drugs)

A total of 41 crashes involved driver impairment, representing 8.1% of all crashes. Among these, 29 crashes involved alcohol, 8 involved both alcohol and drugs, and 4 involved drugs alone.

Driver Condition

Beyond apparently normal conditions, 30 drivers were reported as being "Under the Influence of Medications / Drugs / Alcohol." Other abnormal conditions included 8 drivers who were emotional, 4 who had an illness, and 2 who had physical impairment.

Driver Condition

1
Apparently Normal689 (92.2%)
2
Under the Influence of Medications / Drugs / Alcohol30 (4%)
3
Other/Unknown12 (1.6%)
4
Emotional (E.G.; Depressed; Angry; Disturbed)8 (1.1%)
5
Illness4 (0.5%)
6
Physical Impairment2 (0.3%)
7
Fell Asleep; Fainted; Fatigued; etc.2 (0.3%)

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

Specific driver distractions included "Other distraction inside the vehicle" (12 instances), "Manually operating an electronic communication device" (5 instances), and "Other activity with an electronic device" (5 instances). In total, 31 instances of specific driver distractions were reported.

Driver Distraction

1
Not Distracted690 (92.4%)
2
Other/Unknown26 (3.5%)
3
Other distraction inside the vehicle12 (1.6%)
4
Manually operating an electronic communication device (texting; typing; dialing)5 (0.7%)
5
Other activity with an electronic device5 (0.7%)
6
Other distraction outside the vehicle5 (0.7%)
7
Passenger3 (0.4%)
8
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

The majority of crashes, 385 incidents, occurred on straight, level road alignments. Crashes occurring on curves (level or grade) accounted for 40 incidents (7.9%), while those on grades (straight or curve) totaled 94 incidents (18.7%).

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 actions by drivers were "Straight Ahead" (445 instances), followed by "Parked" (102 instances), and "Slowing or Stopped In Traffic" (100 instances). These three actions collectively accounted for 647 of the reported actions.

Pre-Crash Driver Action

1
Straight Ahead445 (48.4%)
2
Parked102 (11.1%)
3
Slowing or Stopped In Traffic100 (10.9%)
4
Making Left Turn94 (10.2%)
5
Making Right Turn44 (4.8%)
6
Backing33 (3.6%)
7
Other/Unknown24 (2.6%)
8
Changing Lanes19 (2.1%)
9
Negotiating a Curve18 (2%)

Showing top 9 of 18 reported. 9 additional (41 total) not shown: Entering Traffic Lane, Making U-Turn, Leaving Traffic Lane, Walking; Running; Jogging; Playing, Other Non-Motorist, Overtaking/Passing, Entering or Crossing Specified Location, Driverless, Approaching or Leaving Vehicle.

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

Manner of Collision

The dominant manner of collision was "Not Collision Between Two Vehicles in Transport," accounting for 221 crashes or 43.8%. Angle collisions were the second most frequent, with 144 incidents (28.6%), followed by rear-end collisions at 97 incidents (19.2%).

Manner of Collision

"Other" combines 1 smaller categories (1 records): Other/Unknown (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 560 vehicles. Sport Utility Vehicles (121) and Pick ups (103) were also frequently involved. Commercial or heavy vehicles, including buses and semi-tractors, accounted for 30 vehicle involvements, or 3.3% of all vehicles.

Vehicle Type

"Other" combines 9 smaller categories (31 records): Pedestrian/Skater (9), Single Unit Truck (6), Bicycle (4), Motorcycle 2 Wheeled (4), Other Vehicle (2), Motorcycle 3 Wheeled (2), Heavy Equipment (2), Cargo Van (1), Van (9-15 Seats) (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 808 individuals. Occupants (passengers) were the next largest group at 295 individuals, while pedestrians accounted for 9 individuals.

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, 3 individuals sustained fatal injuries, and 151 individuals sustained injuries of serious, minor, or possible severity. Overall, 13.6% of persons involved in crashes sustained some level of injury.

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 participants, 900 individuals, used a shoulder and lap belt. However, 52 individuals were recorded as using no safety equipment, representing 4.7% of those with reported safety equipment use.

Occupant Safety Equipment

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

The majority of crashes involved two vehicles. Single-vehicle crashes accounted for 107 incidents, representing 21.2% of all crashes. Additionally, 17 crashes involved three or four 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: Fairborn, OH
  • Total crash records analyzed: 504
  • Total persons involved: 1,112
  • Total vehicles involved: 920

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). "Fairborn, 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/fairborn/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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Fairborn, OH Crash Report — 2021 | ThatCarHitMe.com