Yearly Traffic Safety Analysis

12,883 CRASHES IN
OHIO, OH
2021

In 2021, Montgomery County recorded 12,883 traffic crashes, resulting in 74 fatalities and 5,275 injuries. A notable finding from the data is that nearly one-quarter of all crashes, 23.6% or 3,040 incidents, were classified as hit-and-runs.

12,883

Total Crash Events

74

Persons Killed

5,275

Persons Injured

23.6%

Hit-and-Run Rate

Note: "Persons Killed" (74) counts individual fatalities across all crash events. "Fatal" in the severity table below (61) 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

3,040

Hit-and-Run Crashes — 2021

In 2021, 3,040 crashes in Montgomery County were classified as hit-and-runs, accounting for 23.6% of all incidents. This classification is based on the initial determination made by the responding law enforcement officer at the scene of the crash.

Vulnerable Road User Casualties

In 2021, motorists accounted for the largest number of casualties, with 60 individuals killed and 5,133 injured. Pedestrians also faced significant risk, with 14 fatalities and 142 injuries reported. According to the provided key performance indicators, there were no cyclists killed or injured in crashes during this period.

14

Pedestrians Killed

60

Motorists Killed

142

Pedestrians Injured

5,133

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 frequency in Montgomery County peaked on Fridays, with 2,104 incidents recorded in 2021. The afternoon commute was the most common time for crashes, with the peak occurring in the 4 p.m. and 5 p.m. hours, each accounting for 1,110 crashes. Analysis of lighting conditions shows that the majority of crashes, 8,412 incidents, 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 12,883 crashes in 2021, the majority (71.0%) resulted in no injuries, involving only property damage. Crashes involving injuries accounted for 3,675 incidents, including 297 with serious injuries. The data documents 61 distinct fatal crashes, which resulted in a total of 74 fatalities, indicating some incidents involved more than one death.

Severity is per crash event (most severe injury). 61 fatal crash events resulted in 74 persons killed.

Outcome by Severity (Crash Events)

Fatal61fatal crashes0.5%
Serious Injury297serious injury crashes2.3%
Minor Injury1,959minor injury crashes15.2%
Possible Injury1,419possible injury crashes11%
No Injury9,147no injury crashes71%

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 in Montgomery County occurred under clear driving conditions. Specifically, 65.3% of incidents (8,412) happened in daylight, 76.5% (9,853) on dry road surfaces, and 62.7% (8,079) in clear weather. Crashes in adverse conditions included 1,627 incidents during rain and 2,554 on wet roads.

Weather

Clear8,079 (62.7%)
Cloudy2,633 (20.4%)
Rain1,627 (12.6%)
Snow345 (2.7%)
Other/Unknown116 (0.9%)
Fog; Smog; Smoke32 (0.2%)
Sleet; Hail25 (0.2%)
Freezing Rain or Freezing Drizzle17 (0.1%)
Severe Crosswinds6 (0.0%)
Blowing Sand; Soil; Dirt; Snow3 (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

Daylight8,412 (65.3%)
Dark - Lighted Roadway2,750 (21.3%)
Dark - Roadway Not Lighted910 (7.1%)
Dawn/Dusk631 (4.9%)
Other/Unknown118 (0.9%)
Dark - Unknown Roadway Lighting62 (0.5%)

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

Road Surface

Dry9,853 (76.5%)
Wet2,554 (19.8%)
Snow270 (2.1%)
Ice97 (0.8%)
Other/Unknown83 (0.6%)
Slush21 (0.2%)
Sand; Mud; Dirt; Oil; Gravel3 (0.0%)
Water (Standing; Moving)2 (0.0%)

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

Vehicles & Demographics

Analysis of persons involved in crashes shows the 26-34 age group was the most represented, with 5,074 individuals, followed by the 35-44 age group with 4,220. Among the 24,558 vehicles involved, the most frequent makes were Chevrolet (4,439 vehicles), Ford (2,974 vehicles), and Honda (1,779 vehicles).

Top Vehicle Makes (24,558 vehicles)

1
CHEVROLET4,439 (18.1%)
2
FORD2,974 (12.1%)
3
HONDA1,779 (7.2%)
4
TOYOTA1,760 (7.2%)
5
DODGE1,394 (5.7%)
6
NISSAN1,191 (4.8%)
7
HYUNDAI849 (3.5%)
8
KIA809 (3.3%)
9
BUICK745 (3%)
10
JEEP739 (3%)

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

2,774 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (28,766 persons with recorded sex)

Male15,583 (54.2%)
Female13,183 (45.8%)

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 vast majority of crashes, 11,145 incidents, had their first harmful event occur on the primary roadway. A total of 1,156 crashes were classified as run-off-road incidents, with the first harmful event occurring on the roadside (560), shoulder (500), or in the median (96).

Crash Location (First Harmful Event)

"Other" combines 8 smaller categories (123 records): On ramp (64), Driveway/Alley access (46), On Gore (6), Bike Lane (2), Crossover (2), Railway grade crossing (1), Shared-use paths or trails (1), Toll Booth (1).

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 where crashes occurred indicates that the most common situation involved 'No Control,' which was noted for 14,442 vehicles. Signalized intersections were the location for crashes involving 8,002 vehicles, while stop signs were present for 1,837 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 common driver action contributing to crashes was 'Following too Close / ACDA,' cited for 3,108 vehicles. This was followed by 'Failure to Yield' (2,054 vehicles) and 'Other Improper Action' (1,645 vehicles). Other significant factors included 'Drove off Road' (916 vehicles) and 'Improper Lane Change' (832 vehicles).

Driver Contributing Factor

1
Following too Close / ACDA3,108 (24.9%)
2
Failure to Yield2,054 (16.5%)
3
Other Improper Action1,645 (13.2%)
4
Drove off Road916 (7.3%)
5
Improper Lane Change832 (6.7%)
6
Ran Red Light702 (5.6%)
7
Not Discernible687 (5.5%)
8
Unsafe Speed437 (3.5%)
9
Improper Turn373 (3%)

Showing top 9 of 22 reported. 13 additional (1,714 total) not shown: Improper Backing, Left of Center, Ran Stop Sign, Swerving to Avoid, Improper Passing, Operating Defective Equipment, Improper Start From a Parked Position, Improper Crossing, Load shifting/Falling/Spilling, Wrong Way, Vision Obstruction, Stopped or Parked Illegally, 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

Crashes involving commercial trucks accounted for 786 incidents, or 6.1% of all crashes in 2021. Among these, 526 involved a semi-tractor trailer, while the remaining 260 involved other types of commercial vehicles.

Vulnerable Road Users & Motorcycles

Crashes involving vulnerable road users included 154 incidents with pedestrians and 68 with bicyclists, for a combined total of 222 crashes. An additional 174 crashes involved motorcyclists. In total, crashes with pedestrians and bicyclists represent 1.7% of all incidents in Montgomery County.

Animal-Involved Crashes

There were 231 crashes involving animals reported in 2021, making up 1.8% of the total crash volume. The vast majority of these incidents, 201 crashes, specifically involved collisions with deer, while the remaining 30 were attributed to other animals.

Impairment (Alcohol / Drugs)

Impairment was a factor in 689 crashes, representing 5.3% of all incidents. Of these, alcohol was the sole factor in 451 cases, drugs were the factor in 139 cases, and a combination of alcohol and drugs was noted in 99 cases.

Driver Condition

Beyond 'Apparently Normal,' several specific driver conditions were recorded for the 22,718 drivers involved in crashes. A total of 519 drivers were noted as being under the influence of medications, drugs, or alcohol. Additionally, 107 drivers reportedly fell asleep or were fatigued, and 120 had a physical impairment.

Driver Condition

1
Apparently Normal19,157 (87.2%)
2
Other/Unknown1,933 (8.8%)
3
Under the Influence of Medications / Drugs / Alcohol519 (2.4%)
4
Physical Impairment120 (0.5%)
5
Fell Asleep; Fainted; Fatigued; etc.107 (0.5%)
6
Emotional (E.G.; Depressed; Angry; Disturbed)79 (0.4%)
7
Illness51 (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 drivers for whom a distraction was noted, the most common was 'Other distraction inside the vehicle,' recorded for 318 drivers. Use of electronic devices was a factor for at least 206 drivers, including 111 who were manually operating a device and 95 engaged in another activity with an electronic device.

Driver Distraction

1
Not Distracted18,823 (87%)
2
Other/Unknown1,947 (9%)
3
Other distraction inside the vehicle318 (1.5%)
4
Other distraction outside the vehicle257 (1.2%)
5
Manually operating an electronic communication device (texting; typing; dialing)111 (0.5%)
6
Other activity with an electronic device95 (0.4%)
7
Passenger52 (0.2%)
8
Talking on hand-held communication device26 (0.1%)
9
Talking on hands-free communication device11 (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

While most crashes (10,034) occurred on straight, level sections of road, roadway geometry was a factor in a notable portion of incidents. Crashes on curves accounted for 980 incidents, or 7.6% of the total. Roadways with a grade were the location for 2,293 crashes, representing 17.8% of all crashes in the county.

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 within Montgomery County is highly concentrated, with the City of Dayton accounting for 4,490 incidents, or 34.9% of the county's total. Other municipalities with high crash volumes include Huber Heights with 867 crashes, Harrison with 819 crashes, and Miami with 712 crashes.

Top Cities

1
Dayton4,490 (34.9%)
2
Huber Heights867 (6.7%)
3
Harrison819 (6.4%)
4
Miami712 (5.5%)
5
Kettering648 (5%)
6
Riverside567 (4.4%)
7
Moraine515 (4%)
8
Trotwood507 (3.9%)
9
Centerville502 (3.9%)

Showing top 9 of 29 reported. 20 additional (3,256 total) not shown: Miamisburg, Butler, West Carrollton, Washington, Vandalia, Englewood, Clayton, Clay, Jefferson, Oakwood, German, Perry, Germantown, Brookville, Union, Jackson, New Lebanon, Phillipsburg, Farmersville, Wayne.

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 action by vehicles immediately prior to a crash was proceeding 'Straight Ahead,' which was the case for 12,745 vehicles, or 51.9% of all vehicles involved. The next most frequent pre-crash actions were 'Slowing or Stopped In Traffic' (3,548 vehicles) and 'Making Left Turn' (2,422 vehicles).

Pre-Crash Driver Action

1
Straight Ahead12,745 (51.9%)
2
Slowing or Stopped In Traffic3,548 (14.4%)
3
Making Left Turn2,422 (9.9%)
4
Parked1,616 (6.6%)
5
Changing Lanes927 (3.8%)
6
Making Right Turn845 (3.4%)
7
Other/Unknown755 (3.1%)
8
Backing423 (1.7%)
9
Negotiating a Curve395 (1.6%)

Showing top 9 of 21 reported. 12 additional (882 total) not shown: Entering Traffic Lane, Overtaking/Passing, Leaving Traffic Lane, Walking; Running; Jogging; Playing, Making U-Turn, Driverless, Other Non-Motorist, Entering or Crossing Specified Location, Standing, Working, Standing Outside Disabled Vehicle, 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 collision was an 'Angle' crash, which accounted for 3,638 incidents or 28.2% of the total. This was followed closely by single-vehicle crashes, categorized as 'Not Collision Between Two Vehicles in Transport' (3,344 incidents, 26.0%), and 'Rear-end' collisions (3,324 incidents, 25.8%).

Manner of Collision

"Other" combines 2 smaller categories (238 records): Backing (200), Rear-to-rear (38).

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, accounting for 13,136 of the 24,558 vehicles (53.5%). Sport Utility Vehicles (5,305 vehicles) and Pick up trucks (2,584 vehicles) were also frequently involved. Commercial vehicles, including semi-tractors, single unit trucks, and buses, were involved in 863 instances.

Vehicle Type

"Other" combines 18 smaller categories (1,029 records): Single Unit Truck (188), Motorcycle 2 Wheeled (179), Pedestrian/Skater (161), Other Vehicle (133), Bus (16+ Passengers) (110), Van (9-15 Seats) (86), Bicycle (68), Heavy Equipment (60), All Terrain Vehicle (ATV/UTV) (10), Moped or Motorized Bicycle (10), Farm Equipment (6), Motorhome (5), Motorcycle 3 Wheeled (5), Golf Cart (4), Limo (Livery Vehicle) (1), Train (1), Autocycle (1), Wheelchair (Any type) (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 30,830 people were involved in traffic crashes in 2021. The majority of these individuals were drivers, accounting for 22,718 people or 73.7% of the total. Vehicle occupants (passengers) represented another 7,948 people (25.8%), while 164 pedestrians were 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

Of the 30,830 individuals involved in crashes, 5,275 sustained some level of injury, representing 17.1% of all persons involved. This includes 368 people with serious injuries and 74 who were fatally injured. The vast majority of people involved, 24,305 individuals, 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 the 30,830 participants in crashes, 23,183 were recorded as using a shoulder and lap belt. A total of 1,501 individuals were documented as using no safety equipment at the time of the crash. Additionally, various child restraint systems were in use, including 610 forward-facing seats and 301 rear-facing seats.

Occupant Safety Equipment

"Other" combines 3 smaller categories (231 records): Lap Belt Only Used (137), Helmet Used (90), Lighting - Pedestrian / Bicycle Only (4).

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 most common crash scenario involved two vehicles, accounting for 9,472 incidents or 73.5% of the total. Single-vehicle crashes were the next most frequent, with 2,422 incidents (18.8%). The data also includes several multi-vehicle pile-ups, with 817 crashes involving three vehicles and one incident involving as many as 10 vehicles.

Vehicles Per Crash

"Other" combines 1 smaller categories (1 records): 10 (1).

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: 12,883
  • Total persons involved: 30,830
  • Total vehicles involved: 24,558

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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