Yearly Traffic Safety Analysis

86 CRASHES IN
GRANDVIEW HEIGHTS, OH
2021

In 2021, Grandview Heights experienced a total of 86 crashes, resulting in 1 fatality and 17 injuries. A notable finding from the data is that 18 crashes, representing 20.9% of the total, were identified as hit-and-run incidents.

86

Total Crash Events

1

Persons Killed

17

Persons Injured

20.9%

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

18

Hit-and-Run Crashes — 2021

There were 18 hit-and-run crashes in Grandview Heights during 2021, accounting for 20.9% of all crashes. It is important to note that hit-and-run status is based on the responding officer's initial determination at the crash scene.

Vulnerable Road User Casualties

In 2021, 1 motorist was killed and 15 motorists were injured in crashes. Additionally, 2 pedestrians sustained injuries, while no pedestrians or cyclists were killed. There were no recorded injuries to cyclists.

0

Pedestrians Killed

1

Motorists Killed

2

Pedestrians Injured

15

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 incidents in Grandview Heights peaked on Tuesdays, with 18 crashes reported, and the peak hour for crashes was 5 p.m., with 9 incidents. The majority of crashes, 62 out of 86, occurred during daylight hours, while 19 crashes took place 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 86 crashes, 70 (81.4%) resulted in no injury, indicating property-damage-only incidents. There was 1 fatal crash, and a total of 15 crashes involved injuries of varying severity. The single fatal crash resulted in 1 fatality.

Outcome by Severity (Crash Events)

Fatal1fatal crashes1.2%
Serious Injury1serious injury crashes1.2%
Minor Injury6minor injury crashes7%
Possible Injury8possible injury crashes9.3%
No Injury70no injury crashes81.4%

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 68.6% (59 crashes) happening in clear weather, 82.6% (71 crashes) on dry road surfaces, and 72.1% (62 crashes) during daylight. Adverse conditions such as rain contributed to 5 crashes, wet road surfaces to 9 crashes, and dark conditions to 19 crashes.

Weather

Clear59 (68.6%)
Cloudy17 (19.8%)
Rain5 (5.8%)
Freezing Rain or Freezing Drizzle3 (3.5%)
Other/Unknown1 (1.2%)
Snow1 (1.2%)

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

Lighting

Daylight62 (72.1%)
Dark - Lighted Roadway15 (17.4%)
Dark - Roadway Not Lighted3 (3.5%)
Other/Unknown3 (3.5%)
Dawn/Dusk2 (2.3%)
Dark - Unknown Roadway Lighting1 (1.2%)

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

Road Surface

Dry71 (82.6%)
Wet9 (10.5%)
Other/Unknown5 (5.8%)
Ice1 (1.2%)

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

Vehicles & Demographics

The 26-34 age group was the most represented among persons involved in crashes, accounting for 49 out of 145 persons with known age. Among the 171 vehicles involved, Honda (24), Toyota (21), and Ford (20) were the most frequent makes.

Top Vehicle Makes (171 vehicles)

1
HONDA24 (14%)
2
TOYOTA21 (12.3%)
3
FORD20 (11.7%)
4
CHEVROLET16 (9.4%)
5
OTHER/UNKNOWN14 (8.2%)
6
HYUNDAI11 (6.4%)
7
VOLKSWAGEN6 (3.5%)
8
JEEP6 (3.5%)
9
KIA5 (2.9%)
10
MAZDA4 (2.3%)

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

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

Sex Distribution (144 persons with recorded sex)

Male84 (58.3%)
Female60 (41.7%)

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 majority of crashes, 78 out of 86, occurred on the roadway. A total of 7 crashes, representing 8.1% of all incidents, occurred off the primary travel lanes, specifically on the roadside, in a driveway/alley access, or outside the trafficway.

Crash Location (First Harmful Event)

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, 111 out of 171 were at locations with no traffic control present. Locations with traffic signals accounted for 46 vehicles, while stop signs were present for 14 vehicles. This indicates that 73.1% of vehicles involved in crashes were at uncontrolled locations (no control or stop sign), compared to 26.9% at signalized locations.

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 cited contributing factors among vehicles involved in crashes were 'Other Improper Action' (30 units), 'Failure to Yield' (16 units), and 'Following too Close / ACDA' (11 units). These three factors collectively represent 57 out of 80 known contributing factors.

Driver Contributing Factor

1
Other Improper Action30 (34.9%)
2
Failure to Yield16 (18.6%)
3
Following too Close / ACDA11 (12.8%)
4
Improper Backing6 (7%)
5
Not Discernible5 (5.8%)
6
Drove off Road3 (3.5%)
7
Ran Red Light3 (3.5%)
8
Improper Lane Change3 (3.5%)
9
Left of Center2 (2.3%)

Showing top 9 of 16 reported. 7 additional (7 total) not shown: Improper Start From a Parked Position, Operating Defective Equipment, Improper Passing, Improper Crossing, Ran Stop Sign, Stopped or Parked Illegally, Vision Obstruction.

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 10 commercial vehicles were involved in crashes, comprising 5 semi-tractor trailers and 5 other commercial vehicles. These commercial vehicles constituted 5.8% of all 171 vehicles involved in crashes.

Driver Condition

Among drivers with known conditions, 7 were reported with abnormal conditions prior to the crash, representing 6.0% of the 116 drivers. These conditions included being under the influence of medications/drugs/alcohol (5 drivers), falling asleep/fatigued (1 driver), and physical impairment (1 driver).

Driver Condition

1
Apparently Normal103 (88.8%)
2
Other/Unknown6 (5.2%)
3
Under the Influence of Medications / Drugs / Alcohol5 (4.3%)
4
Fell Asleep; Fainted; Fatigued; etc.1 (0.9%)
5
Physical Impairment1 (0.9%)

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

Five drivers were reported to be distracted at the time of their crash, representing 5.3% of the 94 drivers with known distraction status. Distractions included other distractions inside the vehicle (2 drivers), manually operating an electronic communication device (1 driver), other activity with an electronic device (1 driver), and other distractions outside the vehicle (1 driver).

Driver Distraction

1
Not Distracted73 (77.7%)
2
Other/Unknown16 (17%)
3
Other distraction inside the vehicle2 (2.1%)
4
Manually operating an electronic communication device (texting; typing; dialing)1 (1.1%)
5
Other activity with an electronic device1 (1.1%)
6
Other distraction outside the vehicle1 (1.1%)

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

Of the 86 crashes, 5 (5.8%) occurred on curved sections of the roadway, either level or on a grade. Additionally, 15 crashes (17.4%) took place on road sections with a grade, including both straight and curved alignments.

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 among persons involved were 'Straight Ahead' (67 instances), 'Parked' (36 instances), and 'Slowing or Stopped In Traffic' (17 instances). These three actions accounted for 120 out of 159 reported pre-crash actions.

Pre-Crash Driver Action

1
Straight Ahead67 (39.2%)
2
Parked36 (21.1%)
3
Slowing or Stopped In Traffic17 (9.9%)
4
Making Left Turn13 (7.6%)
5
Other/Unknown12 (7%)
6
Making Right Turn9 (5.3%)
7
Backing8 (4.7%)
8
Entering Traffic Lane2 (1.2%)
9
Overtaking/Passing2 (1.2%)

Showing top 9 of 13 reported. 4 additional (5 total) not shown: Driverless, Entering or Crossing Specified Location, Changing Lanes, Walking; Running; Jogging; Playing.

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 31 crashes or 36% of the total. 'Angle' collisions were the second most frequent, with 25 incidents representing 29.1% of crashes, followed by 'Rear-end' collisions at 13 incidents or 15.1%.

Manner of Collision

"Other" combines 1 smaller categories (1 records): Rear-to-rear (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 dominant vehicle type involved in crashes, accounting for 102 out of 171 vehicles, or 59.6%. Trucks and vans, including semi-tractors, single unit trucks, pick-ups, and cargo vans, collectively comprised 21 vehicles, representing 12.3% of all vehicles involved.

Vehicle Type

"Other" combines 5 smaller categories (9 records): Single Unit Truck (3), Van (9-15 Seats) (2), Pedestrian/Skater (2), Cargo Van (1), Bicycle (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 128 out of 159 total persons, or 80.5%. There were also 2 pedestrians 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

Out of 146 persons with known injury severity, 1 person sustained fatal injuries and 17 persons sustained non-fatal injuries. This means 0.7% of persons with known severity suffered fatal injuries, while 11.6% sustained some form 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

Among 154 persons with known safety equipment use, 129 (83.8%) used shoulder and lap belts. Seven persons (4.5%) were reported to have used no safety equipment.

Occupant Safety Equipment

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

Ten crashes, or 11.6% of the total, involved a single vehicle. There were 5 crashes that involved three or more vehicles, including one incident with five vehicles and two incidents with 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 5, 2026

Data Coverage

  • Reporting period: 2021-01-01 through 2021-12-31 (365 days)
  • Geographic scope: Grandview Heights, OH
  • Total crash records analyzed: 86
  • Total persons involved: 159
  • Total vehicles involved: 171

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). "Grandview Heights, 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/grandview-heights/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

ThatCarHitMe.com · An Injuria.ai Company

Grandview Heights, OH Crash Report — 2021 | ThatCarHitMe.com