Yearly Traffic Safety Analysis

3,263 CRASHES IN
OHIO, OH
2021

In 2021, Greene County recorded 3,263 total traffic crashes, resulting in 10 fatalities and 1,149 injuries. A significant portion of these incidents, 42.2%, did not involve a collision between two vehicles in transport, indicating a high frequency of single-vehicle crashes. The data shows that crashes peaked on Fridays and during the 4 p.m. hour.

3,263

Total Crash Events

10

Persons Killed

1,149

Persons Injured

14.6%

Hit-and-Run Rate

Note: "Persons Killed" (10) counts individual fatalities across all crash events. "Fatal" in the severity table below (10) 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

477

Hit-and-Run Crashes — 2021

During this period, 477 crashes were classified as hit-and-run incidents, accounting for 14.6% of all crashes in the county. This designation is based on the determination made by the responding law enforcement officer at the scene of the crash.

Vulnerable Road User Casualties

In 2021, motorists accounted for the vast majority of traffic-related deaths and injuries. Nine motorists were killed and 1,126 were injured in crashes. During the same period, one pedestrian was killed and 23 were injured. There were no cyclist fatalities recorded, and data for cyclist injuries was not available.

1

Pedestrians Killed

9

Motorists Killed

23

Pedestrians Injured

1,126

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 frequencies in Greene County showed distinct temporal patterns in 2021. The most common day for crashes was Friday, with 574 incidents, while the hour with the highest crash volume was 4 p.m., which saw 261 crashes. Analysis of lighting conditions reveals that 2,040 crashes, or 62.5% of the total, occurred 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

Of the 3,263 total crashes, the majority (75.5% or 2,462 incidents) resulted in no injuries. Injury-related crashes accounted for 24.2% of the total, comprising 84 serious injury, 442 minor injury, and 265 possible injury crashes. Ten crashes were fatal, representing 0.3% of all incidents; these 10 crashes resulted in a total of 10 fatalities.

Outcome by Severity (Crash Events)

Fatal10fatal crashes0.3%
Serious Injury84serious injury crashes2.6%
Minor Injury442minor injury crashes13.5%
Possible Injury265possible injury crashes8.1%
No Injury2,462no injury crashes75.5%

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 substantial majority of crashes in 2021 occurred under ideal environmental conditions. Specifically, 75.2% of crashes (2,454) happened on dry road surfaces. Similarly, 62.5% of incidents (2,040) took place in daylight, and 58.5% (1,908) occurred in clear weather.

Weather

Clear1,908 (58.5%)
Cloudy786 (24.1%)
Rain373 (11.4%)
Snow119 (3.6%)
Other/Unknown32 (1.0%)
Fog; Smog; Smoke15 (0.5%)
Freezing Rain or Freezing Drizzle14 (0.4%)
Sleet; Hail11 (0.3%)
Severe Crosswinds4 (0.1%)
Blowing Sand; Soil; Dirt; Snow1 (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

Daylight2,040 (62.5%)
Dark - Roadway Not Lighted539 (16.5%)
Dark - Lighted Roadway448 (13.7%)
Dawn/Dusk190 (5.8%)
Other/Unknown29 (0.9%)
Dark - Unknown Roadway Lighting17 (0.5%)

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

Road Surface

Dry2,454 (75.2%)
Wet632 (19.4%)
Snow109 (3.3%)
Ice28 (0.9%)
Other/Unknown28 (0.9%)
Slush9 (0.3%)
Sand; Mud; Dirt; Oil; Gravel3 (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 7,238 people involved in crashes shows the 26-34 age group was the most represented, with 1,077 individuals. Among the 5,626 vehicles involved, passenger cars were the most common type (3,072). The most frequent vehicle makes recorded in crashes were Chevrolet (913), Ford (688), and Honda (566).

Top Vehicle Makes (5,626 vehicles)

1
CHEVROLET913 (16.2%)
2
FORD688 (12.2%)
3
HONDA566 (10.1%)
4
TOYOTA492 (8.7%)
5
NISSAN286 (5.1%)
6
DODGE277 (4.9%)
7
HYUNDAI239 (4.2%)
8
JEEP196 (3.5%)
9
KIA184 (3.3%)
10
GMC140 (2.5%)

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

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

Sex Distribution (6,919 persons with recorded sex)

Male3,650 (52.8%)
Female3,269 (47.2%)

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 was on the primary roadway, accounting for 2,610 incidents. A notable portion of crashes were run-off-road events, with 354 occurring on the roadside, 157 on the shoulder, and 32 in the median. Combined, these off-roadway locations represent the first harmful event in 16.6% of all crashes.

Crash Location (First Harmful Event)

"Other" combines 4 smaller categories (10 records): On ramp (5), Other/Unknown (3), Shared-use paths or trails (1), Bike Lane (1).

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

Traffic Control Device

Data on traffic controls present at crash sites, recorded per vehicle, indicates that 3,417 of the 5,626 vehicles involved (60.7%) were in crashes where no traffic control device was present. Signalized intersections were the location for crashes involving 1,696 vehicles (30.1%), while stop signs were present for incidents involving 407 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

Among driver-related contributing factors, 'Following too Close / ACDA' was the most cited action, noted in 747 instances. 'Failure to Yield' was the second most common factor with 422 instances, followed by 'Drove off Road' which was cited 383 times. These three factors represent the most frequently identified improper driver actions leading to crashes.

Driver Contributing Factor

1
Following too Close / ACDA747 (25.6%)
2
Failure to Yield422 (14.4%)
3
Drove off Road383 (13.1%)
4
Other Improper Action366 (12.5%)
5
Improper Lane Change166 (5.7%)
6
Unsafe Speed148 (5.1%)
7
Ran Red Light117 (4%)
8
Left of Center107 (3.7%)
9
Improper Backing102 (3.5%)

Showing top 9 of 22 reported. 13 additional (364 total) not shown: Improper Turn, Swerving to Avoid, Ran Stop Sign, Not Discernible, Improper Passing, Operating Defective Equipment, Load shifting/Falling/Spilling, Improper Start From a Parked Position, Vision Obstruction, Stopped or Parked Illegally, Improper Crossing, Wrong Way, Lying in Roadway.

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 184 incidents, or 5.6% of all crashes in 2021. Of these, 101 crashes involved a semi-tractor trailer, while the remaining 83 involved other types of commercial vehicles.

Vulnerable Road Users & Motorcycles

In 2021, there were 104 crashes involving vulnerable road users or motorcyclists. Motorcyclists were involved in 64 of these incidents. Crashes involving pedestrians (25) and bicyclists (15) totaled 40 incidents, representing 1.2% of all crashes.

Animal-Involved Crashes

Crashes involving animals totaled 314 incidents, making up 9.6% of all crashes in the county. The vast majority of these, 296 crashes, were strikes involving deer. An additional 18 crashes involved other, unspecified types of animals.

Impairment (Alcohol / Drugs)

Impairment was a factor in 196 crashes, representing 6% of the total. Among these incidents, alcohol was the sole factor in 124 cases, drugs were the sole factor in 39 cases, and a combination of alcohol and drugs was noted in 33 cases.

Driver Condition

Excluding drivers noted as 'Apparently Normal', a specific condition was reported for 254 of the 5,300 drivers involved in crashes. The most common condition was 'Under the Influence of Medications / Drugs / Alcohol', reported for 153 drivers. Other noted conditions included 'Fell Asleep; Fainted; Fatigued' (45 drivers) and 'Emotional' (26 drivers).

Driver Condition

1
Apparently Normal4,648 (91.6%)
2
Other/Unknown174 (3.4%)
3
Under the Influence of Medications / Drugs / Alcohol153 (3%)
4
Fell Asleep; Fainted; Fatigued; etc.45 (0.9%)
5
Emotional (E.G.; Depressed; Angry; Disturbed)26 (0.5%)
6
Illness20 (0.4%)
7
Physical Impairment10 (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 5,300 drivers involved in crashes, a specific distraction was identified for 234 of them. The most common reported distractions were 'Other distraction inside the vehicle' with 85 instances, followed by 'Other distraction outside the vehicle' with 58 instances. Manually operating an electronic device was cited for 24 drivers.

Driver Distraction

1
Not Distracted4,578 (90.4%)
2
Other/Unknown253 (5%)
3
Other distraction inside the vehicle85 (1.7%)
4
Other distraction outside the vehicle58 (1.1%)
5
Other activity with an electronic device44 (0.9%)
6
Manually operating an electronic communication device (texting; typing; dialing)24 (0.5%)
7
Passenger11 (0.2%)
8
Talking on hand-held communication device9 (0.2%)
9
Talking on hands-free 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

The roadway geometry was straight and level for 2,242 crashes, representing the most common alignment. However, a significant number of crashes occurred on non-level or curved roads. Crashes on a grade (straight or curved) accounted for 796 incidents (24.4%), while crashes on a curve (level or grade) accounted for 382 incidents (11.7%).

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 Beavercreek recorded the highest number of incidents with 1,165, accounting for 35.7% of the county's total. Xenia had the second-highest volume with 589 crashes (18.1%), followed by Fairborn with 504 crashes (15.4%).

Top Cities

1
Beavercreek1,165 (35.7%)
2
Xenia589 (18.1%)
3
Fairborn504 (15.4%)
4
Sugar Creek252 (7.7%)
5
Bath200 (6.1%)
6
Spring Valley78 (2.4%)
7
Cedarville74 (2.3%)
8
Yellow Springs56 (1.7%)
9
Jefferson52 (1.6%)

Showing top 9 of 20 reported. 11 additional (293 total) not shown: Miami, Silver Creek, Caesars Creek, Centerville, Bellbrook, New Jasper, Ross, Jamestown, Clifton, Kettering, Bowersville.

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 the 5,626 vehicles involved in crashes shows that the most common pre-crash action was driving 'Straight Ahead,' reported for 3,004 vehicles (53.4%). The next most frequent action was 'Slowing or Stopped In Traffic,' which accounted for 886 vehicles (15.7%), followed by 'Making Left Turn' for 472 vehicles (8.4%).

Pre-Crash Driver Action

1
Straight Ahead3,004 (53.4%)
2
Slowing or Stopped In Traffic886 (15.7%)
3
Making Left Turn472 (8.4%)
4
Parked294 (5.2%)
5
Negotiating a Curve207 (3.7%)
6
Making Right Turn197 (3.5%)
7
Changing Lanes155 (2.8%)
8
Backing114 (2%)
9
Other/Unknown104 (1.8%)

Showing top 9 of 20 reported. 11 additional (193 total) not shown: Entering Traffic Lane, Overtaking/Passing, Leaving Traffic Lane, Making U-Turn, Other Non-Motorist, Walking; Running; Jogging; Playing, Driverless, Entering or Crossing Specified Location, Working, Standing, 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 most frequent type of crash was 'Not Collision Between Two Vehicles in Transport,' which includes single-vehicle incidents, accounting for 1,376 crashes or 42.2% of the total. Among multi-vehicle crashes, rear-end collisions were the most common, with 745 incidents representing 22.8% of all crashes.

Manner of Collision

"Other" combines 2 smaller categories (53 records): Backing (50), Rear-to-rear (3).

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

Vehicle Type

Of the 5,626 vehicles involved in crashes, passenger cars were the predominant type, accounting for 3,072 vehicles (54.6%). Sport Utility Vehicles were the next most common, with 1,081 involved (19.2%), followed by 666 pickup trucks (11.8%).

Vehicle Type

"Other" combines 13 smaller categories (232 records): Cargo Van (52), Single Unit Truck (35), Bus (16+ Passengers) (33), Other Vehicle (27), Pedestrian/Skater (23), Van (9-15 Seats) (19), Bicycle (16), Heavy Equipment (12), Farm Equipment (6), Motorcycle 3 Wheeled (5), Wheelchair (Any type) (2), Motorhome (1), Moped or Motorized Bicycle (1).

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

Person Type

A total of 7,238 individuals were involved in crashes. The majority of these were drivers, who accounted for 5,300 persons (73.2%). Vehicle occupants or passengers made up the next largest group with 1,913 individuals (26.4%), while pedestrians accounted for 25 individuals (0.3%).

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 the 7,238 people involved in crashes, 10 sustained fatal injuries (0.14%) and 1,149 sustained some level of non-fatal injury (15.9%). The largest group, 5,837 people (80.6%), were not injured. Serious injuries were reported for 97 individuals.

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 7,211 individuals for whom safety equipment use was recorded, 5,875 (81.5%) were noted as using a shoulder and lap belt. Conversely, 369 people, or 5.1% of this group, were recorded as using no safety equipment at the time of the crash.

Occupant Safety Equipment

"Other" combines 2 smaller categories (70 records): Helmet Used (40), Lap Belt Only Used (30).

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, with 2,014 such incidents making up 61.7% of the total. Single-vehicle crashes were also common, with 1,092 incidents representing 33.5% of all crashes. Crashes involving three or more vehicles were less frequent, with 128 three-vehicle crashes and 23 four-vehicle crashes recorded.

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: 3,263
  • Total persons involved: 7,238
  • Total vehicles involved: 5,626

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