Yearly Traffic Safety Analysis

2,504 CRASHES IN
OHIO, OH
2021

In 2021, Miami County recorded 2,504 total traffic crashes, resulting in 20 fatalities and 683 injuries. A significant portion of these incidents, 43.7% (1,093 crashes), were single-vehicle collisions not involving another vehicle in transport. The data indicates that traffic collisions peaked during the afternoon commute, particularly on Tuesdays.

2,504

Total Crash Events

20

Persons Killed

683

Persons Injured

15.6%

Hit-and-Run Rate

Note: "Persons Killed" (20) counts individual fatalities across all crash events. "Fatal" in the severity table below (19) 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

391

Hit-and-Run Crashes — 2021

In this period, 391 crashes were classified as hit-and-run incidents, accounting for 15.6% of all crashes. This designation is based on the responding officer's initial report that a driver involved in the crash left the scene without providing required information.

Vulnerable Road User Casualties

Of the 20 total fatalities, 19 were motorists and one was a pedestrian. In addition to the fatalities, 675 motorists and 8 pedestrians sustained injuries. No cyclist fatalities or injuries were recorded in this period, making motorists the group most affected by fatal and injury crashes.

1

Pedestrians Killed

19

Motorists Killed

8

Pedestrians Injured

675

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 clear weekly and daily rhythm, with collisions peaking on Tuesdays (400 crashes). The most hazardous time of day was the 5 p.m. hour, which saw 203 crashes, aligning with the evening commuter rush. Overall, 1,516 crashes (60.6%) occurred during daylight hours, compared to 768 in dark or dawn/dusk conditions.

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 vast majority of crashes, 79.9% (2,001 incidents), resulted in no injuries. Injury-involved crashes accounted for 19.3% of the total, comprising 52 serious injury, 264 minor injury, and 168 possible injury crashes. The 19 fatal crashes resulted in 20 total fatalities, indicating at least one crash involved more than one death.

Severity is per crash event (most severe injury). 19 fatal crash events resulted in 20 persons killed.

Outcome by Severity (Crash Events)

Fatal19fatal crashes0.8%
Serious Injury52serious injury crashes2.1%
Minor Injury264minor injury crashes10.5%
Possible Injury168possible injury crashes6.7%
No Injury2,001no injury crashes79.9%

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

Most crashes occurred in ideal driving conditions. Specifically, 75.5% of crashes (1,891) happened on dry roads, 58.2% (1,457) in clear weather, and 60.6% (1,516) during daylight hours. Crashes in adverse weather included 241 in rain and 86 in snow, while 469 incidents occurred on wet road surfaces.

Weather

Clear1,457 (58.2%)
Cloudy642 (25.6%)
Rain241 (9.6%)
Snow86 (3.4%)
Other/Unknown47 (1.9%)
Fog; Smog; Smoke21 (0.8%)
Freezing Rain or Freezing Drizzle5 (0.2%)
Sleet; Hail4 (0.2%)
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

Daylight1,516 (60.5%)
Dark - Roadway Not Lighted453 (18.1%)
Dark - Lighted Roadway301 (12.0%)
Dawn/Dusk171 (6.8%)
Other/Unknown49 (2.0%)
Dark - Unknown Roadway Lighting14 (0.6%)

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

Road Surface

Dry1,891 (75.5%)
Wet469 (18.7%)
Snow84 (3.4%)
Other/Unknown29 (1.2%)
Ice26 (1.0%)
Slush4 (0.2%)
Sand; Mud; Dirt; Oil; Gravel1 (0.0%)

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

Vehicles & Demographics

Among the 5,382 individuals involved in crashes, the 16-20 age group was the most represented with 777 people, followed closely by the 26-34 age group with 727 people. A total of 4,238 vehicles were involved in these incidents. The most frequent vehicle makes recorded were Ford (708 vehicles), Chevrolet (699 vehicles), and Honda (426 vehicles).

Top Vehicle Makes (4,238 vehicles)

1
FORD708 (16.7%)
2
CHEVROLET699 (16.5%)
3
HONDA426 (10.1%)
4
DODGE268 (6.3%)
5
TOYOTA256 (6%)
6
GMC170 (4%)
7
JEEP163 (3.8%)
8
NISSAN136 (3.2%)
9
BUICK112 (2.6%)
10
HYUNDAI108 (2.5%)

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

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

Sex Distribution (5,057 persons with recorded sex)

Male2,825 (55.9%)
Female2,232 (44.1%)

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 for most incidents occurred on the primary travel lanes, accounting for 2,017 crashes (80.5%). However, a notable 350 crashes (14.0%) were classified as run-off-road events, with the first impact happening on the roadside (181), shoulder (136), or in the median (33).

Crash Location (First Harmful Event)

"Other" combines 7 smaller categories (18 records): Other/Unknown (8), On ramp (3), Railway grade crossing (2), Shared-use paths or trails (2), Toll Booth (1), On Gore (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

Analysis of units involved in crashes shows that a majority, 2,877 units, were at locations with no traffic control devices present. In contrast, 807 units were involved in crashes at signalized intersections, and 445 were at locations controlled by 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 commonly cited contributing factor for drivers was "Following too Close / ACDA," attributed to 437 vehicles. This was followed by "Other Improper Action" with 379 vehicles and "Failure to Yield" with 329 vehicles.

Driver Contributing Factor

1
Following too Close / ACDA437 (20%)
2
Other Improper Action379 (17.3%)
3
Failure to Yield329 (15.1%)
4
Drove off Road238 (10.9%)
5
Improper Lane Change116 (5.3%)
6
Improper Backing94 (4.3%)
7
Improper Turn88 (4%)
8
Unsafe Speed82 (3.8%)
9
Left of Center79 (3.6%)

Showing top 9 of 23 reported. 14 additional (344 total) not shown: Ran Red Light, Ran Stop Sign, Not Discernible, Improper Passing, Swerving to Avoid, Operating Defective Equipment, Load shifting/Falling/Spilling, Improper Start From a Parked Position, Vision Obstruction, Wrong Way, Improper Crossing, Stopped or Parked Illegally, Opening Door into Roadway, 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

Commercial trucks were involved in 176 crashes, representing 7.0% of all incidents. Of these, the majority (142 crashes) involved a semi-tractor trailer, while the remaining 34 crashes involved other types of commercial vehicles.

Vulnerable Road Users & Motorcycles

A total of 69 crashes involved a motorcyclist, bicyclist, or pedestrian. Motorcyclists were the largest group, involved in 44 crashes. Vulnerable road users, defined as pedestrians and bicyclists, were involved in a combined 25 crashes (11 pedestrian and 14 bicyclist).

Animal-Involved Crashes

Collisions with animals accounted for 321 crashes, or 12.8% of the total. The vast majority of these incidents, 296 crashes, involved deer. The remaining 25 crashes were attributed to collisions with other, unspecified animals.

Impairment (Alcohol / Drugs)

Impairment was a factor in 141 crashes, accounting for 5.6% of all incidents. Alcohol was the most common form of impairment, cited in 81 crashes, followed by drugs in 48 crashes. An additional 12 crashes involved a combination of both alcohol and drugs.

Driver Condition

Beyond impairment, other driver conditions were noted in a minority of cases. Among 3,896 drivers, 36 were reported to have fallen asleep, fainted, or been fatigued. Another 19 had a physical impairment, 15 were noted as emotional, and 14 were ill.

Driver Condition

1
Apparently Normal3,373 (88.2%)
2
Other/Unknown258 (6.7%)
3
Under the Influence of Medications / Drugs / Alcohol108 (2.8%)
4
Fell Asleep; Fainted; Fatigued; etc.36 (0.9%)
5
Physical Impairment19 (0.5%)
6
Emotional (E.G.; Depressed; Angry; Disturbed)15 (0.4%)
7
Illness14 (0.4%)

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 3,896 drivers, a specific distraction was identified for 219 of them. The most common sources were "Other distraction inside the vehicle" and "Other distraction outside the vehicle," each cited for 78 drivers. Using an electronic device was noted for 47 drivers, including 16 who were manually operating one (e.g., texting).

Driver Distraction

1
Not Distracted3,214 (84.6%)
2
Other/Unknown368 (9.7%)
3
Other distraction inside the vehicle78 (2.1%)
4
Other distraction outside the vehicle78 (2.1%)
5
Other activity with an electronic device25 (0.7%)
6
Manually operating an electronic communication device (texting; typing; dialing)16 (0.4%)
7
Passenger13 (0.3%)
8
Talking on hand-held communication device6 (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 vast majority of crashes (2,049 incidents) occurred on straight, level road segments. However, roadway geometry played a role in a subset of crashes, with 186 incidents (7.4%) occurring on curves and 321 incidents (12.8%) occurring on grades.

Road Alignment

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

Top Cities

The top five municipalities accounted for a significant portion of the county's crashes. Troy led with 621 crashes, followed by Piqua (447), Concord (195), Monroe (173), and Bethel (137). Together, these five locations represent 62.8% of all crashes in the county.

Top Cities

1
Troy621 (24.8%)
2
Piqua447 (17.9%)
3
Concord195 (7.8%)
4
Monroe173 (6.9%)
5
Bethel137 (5.5%)
6
Springcreek135 (5.4%)
7
Tipp City135 (5.4%)
8
Union112 (4.5%)
9
Newberry91 (3.6%)

Showing top 9 of 23 reported. 14 additional (458 total) not shown: Staunton, Washington, Newton, West Milton, Covington, Lostcreek, Elizabeth, Brown, Huber Heights, Bradford, Pleasant Hill, Casstown, Fletcher, Ludlow Falls.

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 vehicles involved was driving straight ahead, which was the case for 2,339 vehicles. The next most frequent actions were slowing or stopping in traffic (523 vehicles) and being parked (317 vehicles). Making a left turn was the action for 314 vehicles prior to impact.

Pre-Crash Driver Action

1
Straight Ahead2,339 (55.2%)
2
Slowing or Stopped In Traffic523 (12.3%)
3
Parked317 (7.5%)
4
Making Left Turn314 (7.4%)
5
Making Right Turn149 (3.5%)
6
Changing Lanes135 (3.2%)
7
Backing117 (2.8%)
8
Other/Unknown103 (2.4%)
9
Negotiating a Curve78 (1.8%)

Showing top 9 of 17 reported. 8 additional (163 total) not shown: Entering Traffic Lane, Overtaking/Passing, Leaving Traffic Lane, Walking; Running; Jogging; Playing, Driverless, Other Non-Motorist, Making U-Turn, Entering or Crossing Specified Location.

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

Manner of Collision

Single-vehicle crashes were the most common type of incident, with 1,093 crashes (43.7%) classified as "Not Collision Between Two Vehicles in Transport." Among multi-vehicle crashes, angle collisions were the most frequent, accounting for 510 incidents (20.4%), followed by rear-end collisions with 464 incidents (18.5%).

Manner of Collision

"Other" combines 2 smaller categories (41 records): Sideswipe; opposite direction (31), Rear-to-rear (10).

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 2,024 of the 4,238 total vehicles (47.8%). Sport Utility Vehicles (872 vehicles) and Pick-up trucks (656 vehicles) were the next most frequent. Commercial vehicles, including semi-tractors and single-unit trucks, were involved in 199 instances.

Vehicle Type

"Other" combines 15 smaller categories (185 records): Motorcycle 2 Wheeled (44), Single Unit Truck (41), Other Vehicle (26), Bicycle (14), Bus (16+ Passengers) (14), Pedestrian/Skater (12), Farm Equipment (8), Van (9-15 Seats) (8), All Terrain Vehicle (ATV/UTV) (7), Heavy Equipment (5), Golf Cart (2), Motorhome (1), Motorcycle 3 Wheeled (1), Limo (Livery Vehicle) (1), Autocycle (1).

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

Person Type

The data includes 5,382 individuals involved in crashes. The majority of these were drivers (3,896 persons or 72.4%), while 1,474 were vehicle occupants (27.4%). A small fraction, 12 individuals (0.2%), were 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

Of the 5,382 people involved in crashes, 703 were either injured or killed, representing 13.1% of all participants. This includes 20 fatalities, 73 serious injuries, 361 minor injuries, and 249 possible injuries. The remaining 4,557 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 all crash participants, 388 individuals (7.2%) were recorded as not using any safety equipment. In contrast, the vast majority, 4,189 people, were reported to have used a shoulder and lap belt. An additional 211 individuals were using various forms of child restraints.

Occupant Safety Equipment

"Other" combines 3 smaller categories (40 records): Lap Belt Only Used (19), Helmet Used (19), Protective Pads Used (Elbow; knees; etc.) (2).

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 configuration was a two-vehicle collision, which occurred in 1,525 incidents (60.9% of the total). Single-vehicle crashes were also frequent, accounting for 881 incidents (35.2%). Multi-vehicle pile-ups involving three or more vehicles were less common, representing just under 4% of all crashes.

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: 2,504
  • Total persons involved: 5,382
  • Total vehicles involved: 4,238

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