Yearly Traffic Safety Analysis

447 CRASHES IN
BLUE ASH, OH
2021

In 2021, Blue Ash experienced a total of 447 crashes, resulting in 1 fatality and 123 injuries. A significant majority of these incidents, 80.3%, were classified as no-injury crashes. The data indicates that rear-end collisions were the most frequent type of crash.

447

Total Crash Events

1

Persons Killed

123

Persons Injured

16.1%

Hit-and-Run Rate

Note: "Persons Killed" (1) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) 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

72

Hit-and-Run Crashes — 2021

There were 72 hit-and-run crashes reported, accounting for 16.1% of all crashes in 2021. It is important to note that hit-and-run status is based on the initial determination made by the responding officer at the scene.

Vulnerable Road User Casualties

One pedestrian fatality was recorded, along with 7 pedestrians injured. There were no cyclist fatalities or injuries reported in 2021. Motorists accounted for 0 fatalities and 116 injuries.

1

Pedestrians Killed

0

Motorists Killed

7

Pedestrians Injured

116

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 Blue Ash peaked on Wednesdays, with 97 incidents reported. The peak hour for crashes was 4 p.m., recording 48 incidents. A substantial portion of crashes, 75.6%, occurred during daylight hours, while 18.8% happened in dark 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

Of the 447 crashes, 359 (80.3%) resulted in no injuries. Injury-causing crashes, including serious, minor, and possible injuries, totaled 87 incidents (19.5%). One crash was classified as fatal, resulting in 1 fatality.

Outcome by Severity (Crash Events)

Fatal1fatal crashes0.2%
Serious Injury8serious injury crashes1.8%
Minor Injury42minor injury crashes9.4%
Possible Injury37possible injury crashes8.3%
No Injury359no injury crashes80.3%

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 clear weather conditions (277 incidents), on dry road surfaces (355 incidents), and during daylight hours (338 incidents). Adverse conditions such as rain (47 incidents) and wet road surfaces (81 incidents) were also present in a notable number of crashes.

Weather

Clear277 (62.0%)
Cloudy103 (23.0%)
Rain47 (10.5%)
Snow9 (2.0%)
Other/Unknown6 (1.3%)
Fog; Smog; Smoke3 (0.7%)
Sleet; Hail2 (0.4%)

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

Lighting

Daylight338 (75.6%)
Dark - Lighted Roadway69 (15.4%)
Dawn/Dusk21 (4.7%)
Dark - Roadway Not Lighted15 (3.4%)
Other/Unknown4 (0.9%)

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

Road Surface

Dry355 (79.4%)
Wet81 (18.1%)
Snow7 (1.6%)
Other/Unknown4 (0.9%)

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

Vehicles & Demographics

The age group 26-34 was the most represented among persons involved in crashes, with 166 individuals. This was followed by the 65+ age group with 149 individuals and the 45-54 age group with 144 individuals. Passenger cars were the most frequently involved vehicle type, accounting for 582 vehicles, with Honda (109), Chevrolet (103), and Toyota (98) being the top three makes.

Top Vehicle Makes (861 vehicles)

1
HONDA109 (12.7%)
2
CHEVROLET103 (12%)
3
TOYOTA98 (11.4%)
4
FORD89 (10.3%)
5
NISSAN48 (5.6%)
6
DODGE32 (3.7%)
7
JEEP29 (3.4%)
8
KIA28 (3.3%)
9
HYUNDAI26 (3%)
10
MAZDA24 (2.8%)

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

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

Sex Distribution (1,007 persons with recorded sex)

Male531 (52.7%)
Female476 (47.3%)

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, 392 (87.7%), occurred on the roadway. A total of 42 crashes (9.4%) occurred off the main travel lanes, including 21 outside the trafficway, 11 on the roadside, 8 on the shoulder, and 2 in the median.

Crash Location (First Harmful Event)

"Other" combines 2 smaller categories (3 records): In Median (2), Shared-use paths or trails (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, 517 were at locations with no traffic control, making it the dominant condition. Locations with signals accounted for 279 vehicles. Overall, 32.4% of vehicles involved in crashes were at signalized locations, while 67.6% were at locations with other forms of control or no control.

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 frequent contributing factor was 'Following too Close / ACDA,' accounting for 153 instances. This was followed by 'Failure to Yield' with 61 instances and 'Improper Lane Change' with 37 instances. These top three specific factors collectively represent a significant portion of identified contributing actions.

Driver Contributing Factor

1
Following too Close / ACDA153 (32.1%)
2
Other Improper Action95 (19.9%)
3
Failure to Yield61 (12.8%)
4
Improper Lane Change37 (7.8%)
5
Improper Backing24 (5%)
6
Drove off Road22 (4.6%)
7
Improper Turn18 (3.8%)
8
Ran Red Light16 (3.4%)
9
Not Discernible10 (2.1%)

Showing top 9 of 19 reported. 10 additional (41 total) not shown: Swerving to Avoid, Ran Stop Sign, Unsafe Speed, Improper Passing, Vision Obstruction, Left of Center, Improper Crossing, Operating Defective Equipment, Load shifting/Falling/Spilling, Improper Start From a Parked Position.

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

Commercial / Truck Involvement

A total of 62 commercial vehicles were involved in crashes. This included 50 'Other Commercial Vehicle' types and 12 'Semi-Tractor Trailer' units.

Vulnerable Road Users & Motorcycles

Crashes involved 8 pedestrians and 3 motorcyclists in 2021. There were no bicyclists reported as involved in crashes. Collectively, crashes involving these vulnerable road users represented 2.5% of all crashes.

Impairment (Alcohol / Drugs)

A total of 13 crashes involved impairment, with 10 attributed to alcohol and 3 to drugs. These impairment-related crashes constituted 2.9% of all crashes. This figure should be considered a baseline, as impairment is often under-reported.

Driver Condition

Among drivers involved in crashes, 11 were reported as 'Under the Influence of Medications / Drugs / Alcohol.' Additionally, 8 drivers were noted to have 'Fell Asleep; Fainted; Fatigued; etc.' Four drivers had a 'Physical Impairment' and 2 were 'Emotional.'

Driver Condition

1
Apparently Normal736 (90.5%)
2
Other/Unknown52 (6.4%)
3
Under the Influence of Medications / Drugs / Alcohol11 (1.4%)
4
Fell Asleep; Fainted; Fatigued; etc.8 (1%)
5
Physical Impairment4 (0.5%)
6
Emotional (E.G.; Depressed; Angry; Disturbed)2 (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

Driver distraction was identified in 48 instances across various categories. The most common specific distractions included 'Other distraction inside the vehicle' (22 instances) and 'Other distraction outside the vehicle' (16 instances). Manually operating an electronic communication device was noted in 3 instances.

Driver Distraction

1
Not Distracted678 (83.4%)
2
Other/Unknown87 (10.7%)
3
Other distraction inside the vehicle22 (2.7%)
4
Other distraction outside the vehicle16 (2%)
5
Other activity with an electronic device4 (0.5%)
6
Manually operating an electronic communication device (texting; typing; dialing)3 (0.4%)
7
Passenger2 (0.2%)
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

Approximately 9.4% of crashes occurred on curves, including 23 on 'Curve Grade' and 19 on 'Curve Level' alignments. Crashes on grades, encompassing 'Straight Grade' and 'Curve Grade,' represented 22.6% of all incidents. The majority of crashes occurred on 'Straight Level' alignments, with 327 incidents.

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 action for vehicles was 'Straight Ahead,' observed in 359 instances. 'Slowing or Stopped In Traffic' was the second most frequent action with 186 instances. 'Making Left Turn' was reported in 97 instances.

Pre-Crash Driver Action

1
Straight Ahead359 (41.7%)
2
Slowing or Stopped In Traffic186 (21.6%)
3
Making Left Turn97 (11.3%)
4
Changing Lanes42 (4.9%)
5
Making Right Turn40 (4.6%)
6
Parked36 (4.2%)
7
Backing28 (3.3%)
8
Other/Unknown23 (2.7%)
9
Entering Traffic Lane17 (2%)

Showing top 9 of 18 reported. 9 additional (33 total) not shown: Negotiating a Curve, Overtaking/Passing, Walking; Running; Jogging; Playing, Leaving Traffic Lane, Making U-Turn, Standing, Driverless, Entering or Crossing Specified Location, Working.

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

Manner of Collision

Rear-end collisions were the most prevalent manner of collision, accounting for 155 crashes or 34.7% of the total. Angle collisions were the second most common, with 119 incidents or 26.6%. 'Not Collision Between Two Vehicles in Transport' represented 65 crashes, or 14.5%.

Manner of Collision

"Other" combines 2 smaller categories (6 records): Rear-to-rear (3), Sideswipe; opposite direction (3).

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, totaling 582 vehicles. Sport Utility Vehicles (155) and Pick up trucks (51) were also frequently involved. Commercial vehicles, including Single Unit Trucks, Semi-Tractors, and Cargo Vans, collectively accounted for 33 vehicles.

Vehicle Type

"Other" combines 5 smaller categories (24 records): Cargo Van (9), Pedestrian/Skater (8), Bus (16+ Passengers) (3), Motorcycle 2 Wheeled (3), Other Vehicle (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 816 individuals. Occupants (passengers) represented 224 individuals, while pedestrians accounted for 8 individuals. These roles reflect the primary participants in crash events.

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 in crashes, 1 individual sustained a fatal injury (K). A total of 123 individuals sustained injuries, including 8 serious (A), 51 minor (B), and 64 possible (C) injuries. The vast majority, 919 individuals, sustained no injuries (O).

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, 896 individuals, were reported as using 'Shoulder and Lap Belt Used.' However, 31 individuals were recorded as having 'None Used.' Additionally, 20 individuals used 'Child Restraint System - Forward Facing.'

Occupant Safety Equipment

"Other" combines 1 smaller categories (3 records): Helmet 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 most common crash scenario involved two vehicles, accounting for 378 of the 447 crashes. Single-vehicle crashes represented 52 incidents, or 11.6% of the total. Multi-vehicle crashes involving three or more vehicles occurred in 17 instances.

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: Blue Ash, OH
  • Total crash records analyzed: 447
  • Total persons involved: 1,048
  • Total vehicles involved: 861

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). "Blue Ash, 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/blue-ash/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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