Yearly Traffic Safety Analysis

26 CRASHES IN
GOLF MANOR, OH
2021

In 2021, Golf Manor experienced 26 crashes, resulting in 0 fatalities and 8 injuries. A notable finding is that 9 crashes, or 34.6% of the total, were reported as hit-and-run incidents.

26

Total Crash Events

0

Persons Killed

8

Persons Injured

34.6%

Hit-and-Run Rate

Note: "Persons Killed" (0) counts individual fatalities across all crash events. "Fatal" in the severity table below (0) 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

9

Hit-and-Run Crashes — 2021

In 2021, 9 crashes in Golf Manor were identified as hit-and-run incidents, representing 34.6% of all crashes. This determination is based on the responding officer's initial assessment at the scene.

Vulnerable Road User Casualties

In 2021, there were no fatalities among pedestrians, cyclists, or motorists in Golf Manor crashes. Motorists accounted for all 8 reported injuries. No pedestrians or cyclists were reported injured in crashes.

0

Motorists Killed

8

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 data for 2021 indicates that Saturday was the peak day for crashes, with 7 incidents reported. The peak hour for crashes was 12 AM (midnight), accounting for 4 incidents. A total of 14 crashes occurred during daylight conditions, while 7 crashes occurred during dark conditions on lighted roadways.

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

In Golf Manor in 2021, the majority of crashes, 76.9% (20 incidents), resulted in no injuries. Injury crashes collectively accounted for 23.0% of all incidents, with 1 serious injury crash, 3 minor injury crashes, and 2 possible injury crashes. There were no fatal crashes reported in this period.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes3.8%
Minor Injury3minor injury crashes11.5%
Possible Injury2possible injury crashes7.7%
No Injury20no injury crashes76.9%

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

The majority of crashes occurred under clear weather conditions (18 incidents) and on dry road surfaces (22 incidents). Daylight was the most common lighting condition, present in 14 crashes. Adverse conditions included 6 crashes in cloudy weather, 3 on wet roads, and 1 on a snowy road surface.

Weather

Clear18 (69.2%)
Cloudy6 (23.1%)
Other/Unknown2 (7.7%)

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

Lighting

Daylight14 (53.8%)
Dark - Lighted Roadway7 (26.9%)
Other/Unknown3 (11.5%)
Dawn/Dusk2 (7.7%)

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

Road Surface

Dry22 (84.6%)
Wet3 (11.5%)
Snow1 (3.8%)

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 most represented in crashes with 13 persons, followed by those 65 and older with 8 persons. Passenger cars were the most frequently involved vehicle type, accounting for 27 vehicles, followed by sport utility vehicles with 12. Chevrolet vehicles were involved in 10 incidents, the highest among reported makes.

Top Vehicle Makes (51 vehicles)

1
CHEVROLET10 (19.6%)
2
OTHER/UNKNOWN5 (9.8%)
3
HONDA4 (7.8%)
4
NISSAN4 (7.8%)
5
FORD4 (7.8%)
6
HYUNDAI3 (5.9%)
7
JEEP3 (5.9%)
8
TOYOTA3 (5.9%)
9
ACURA2 (3.9%)
10
CADILLAC2 (3.9%)

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

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

Sex Distribution (37 persons with recorded sex)

Male20 (54.1%)
Female17 (45.9%)

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, 22 incidents, occurred on the roadway itself. A total of 4 crashes, representing 15.4% of all incidents, occurred off the main travel lanes, with 3 on the roadside and 1 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

A substantial majority of vehicles involved in crashes, 45 out of 51 (88.2%), were at locations with no traffic control. Stop signs were present for 4 involved vehicles, and traffic signals for 2 involved vehicles. This indicates that most crashes occurred at uncontrolled 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

Among identified contributing factors, 'Other Improper Action' was cited most frequently in 8 incidents. 'Improper Backing' contributed to 5 crashes. 'Failure to Yield' and 'Drove off Road' were each factors in 3 incidents, highlighting common driver actions preceding crashes.

Driver Contributing Factor

1
Other Improper Action8 (27.6%)
2
Improper Backing5 (17.2%)
3
Not Discernible4 (13.8%)
4
Failure to Yield3 (10.3%)
5
Drove off Road3 (10.3%)
6
Operating Defective Equipment2 (6.9%)
7
Ran Stop Sign2 (6.9%)
8
Stopped or Parked Illegally1 (3.4%)
9
Ran Red Light1 (3.4%)

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

Driver Condition

Abnormal driver conditions were identified in a small number of incidents. One driver was reported as 'Fell Asleep; Fainted; Fatigued; etc.', and another driver was 'Under the Influence of Medications / Drugs / Alcohol'.

Driver Condition

1
Apparently Normal20 (60.6%)
2
Other/Unknown11 (33.3%)
3
Fell Asleep; Fainted; Fatigued; etc.1 (3%)
4
Under the Influence of Medications / Drugs / Alcohol1 (3%)

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 noted in two incidents. One driver was distracted by 'Other distraction outside the vehicle', and another was 'Talking on hand-held communication device'.

Driver Distraction

1
Not Distracted20 (58.8%)
2
Other/Unknown12 (35.3%)
3
Other distraction outside the vehicle1 (2.9%)
4
Talking on hand-held communication device1 (2.9%)

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 majority of crashes, 16 incidents, occurred on a straight grade roadway alignment. An additional 9 crashes occurred on straight level sections. One crash occurred on a curve with a grade, indicating that 65.4% of crashes occurred on a grade.

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 frequent pre-crash action reported was 'Parked', accounting for 17 incidents. Drivers proceeding 'Straight Ahead' were involved in 14 incidents, and 'Backing' was the pre-crash action in 7 incidents. These three actions represent the most common activities immediately prior to a crash.

Pre-Crash Driver Action

1
Parked17 (33.3%)
2
Straight Ahead14 (27.5%)
3
Backing7 (13.7%)
4
Other/Unknown3 (5.9%)
5
Making Right Turn2 (3.9%)
6
Slowing or Stopped In Traffic2 (3.9%)
7
Making Left Turn2 (3.9%)
8
Entering Traffic Lane1 (2%)
9
Negotiating a Curve1 (2%)

Showing top 9 of 11 reported. 2 additional (2 total) not shown: Overtaking/Passing, Leaving Traffic Lane.

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

Manner of Collision

The most common manner of collision was 'Not Collision Between Two Vehicles in Transport', accounting for 8 crashes or 30.8% of the total. 'Angle', 'Backing', and 'Rear-end' collisions each occurred 5 times, representing 19.2% of crashes individually. 'Sideswipe; same direction' crashes occurred twice, and 'Head-on' once.

Manner of Collision

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, accounting for 27 vehicles. Sport Utility Vehicles were the next most frequent, with 12 vehicles involved. Commercial vehicle types, including cargo vans, pickups, single unit trucks, and vans (9-15 seats), collectively accounted for 7 vehicles.

Vehicle Type

"Other" combines 1 smaller categories (1 records): Van (9-15 Seats) (1).

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

Person Type

Of the 44 persons involved in crashes, drivers represented the dominant role, with 34 individuals. Occupants accounted for the remaining 10 persons. No pedestrians or cyclists were recorded among the involved persons.

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, 8 individuals sustained injuries. One person suffered serious injuries, 5 persons sustained minor injuries, and 2 persons had possible injuries. This means 18.2% of all persons involved experienced some level 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

For those where safety equipment use was identified, 'Shoulder and Lap Belt Used' was reported for 23 participants. Two participants were recorded as having 'None Used' for safety equipment. One participant was using a 'Child Restraint System - Forward Facing'.

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

The majority of crashes, 21 incidents, involved two vehicles. Single-vehicle crashes accounted for 3 incidents, representing 11.5% of the total. There were 2 crashes that involved three 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 6, 2026

Data Coverage

  • Reporting period: 2021-01-01 through 2021-12-31 (365 days)
  • Geographic scope: Golf Manor, OH
  • Total crash records analyzed: 26
  • Total persons involved: 44
  • Total vehicles involved: 51

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). "Golf Manor, 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/golf-manor/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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