Yearly Traffic Safety Analysis

70 CRASHES IN
GERMANTOWN, OH
2021

In 2021, Germantown experienced a total of 70 traffic crashes, resulting in 1 fatality and 15 injuries. The highest number of crashes occurred on Fridays, with 16 incidents, and the peak hour for crashes was 5 PM, recording 10 incidents. This indicates a concentration of crash activity during late weekday afternoons.

70

Total Crash Events

1

Persons Killed

15

Persons Injured

12.9%

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

9

Hit-and-Run Crashes — 2021

Germantown recorded 9 hit-and-run crashes in 2021, representing 12.9% of all crashes. The determination of a crash as hit-and-run is based on the responding officer's initial assessment at the scene.

Vulnerable Road User Casualties

In 2021, motorists were the only group to sustain fatalities, with 1 motorist killed. Additionally, 15 motorists were injured in crashes. There were no recorded fatalities or injuries among pedestrians or cyclists during this period.

1

Motorists Killed

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

Crashes in Germantown in 2021 peaked on Fridays with 16 incidents, followed by Thursdays and Saturdays, each with 13 incidents. The most frequent crash hour was 5 PM, accounting for 10 crashes, with 3 PM also seeing a high of 10 crashes. A significant 70% of crashes occurred during daylight hours, while 22.9% occurred 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

In 2021, 81.4% of crashes in Germantown resulted in no injuries, totaling 57 incidents. There was 1 fatal crash, which led to 1 fatality, and 13 crashes involved injuries of varying severity. It is important to note that the number of fatalities (persons killed) can differ from the number of fatal crashes, as a single crash may result in multiple deaths.

Outcome by Severity (Crash Events)

Fatal1fatal crashes1.4%
Serious Injury2serious injury crashes2.9%
Minor Injury9minor injury crashes12.9%
Possible Injury1possible injury crashes1.4%
No Injury57no 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 in Germantown during 2021 occurred under clear weather conditions, accounting for 65.7% of incidents. Similarly, 78.6% of crashes happened on dry road surfaces and 70% occurred during daylight hours. Adverse conditions such as rain contributed to 12.9% of crashes, while wet roads were a factor in 15.7% of incidents.

Weather

Clear46 (65.7%)
Cloudy12 (17.1%)
Rain9 (12.9%)
Other/Unknown2 (2.9%)
Snow1 (1.4%)

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

Lighting

Daylight49 (70.0%)
Dark - Lighted Roadway10 (14.3%)
Dark - Roadway Not Lighted5 (7.1%)
Dawn/Dusk5 (7.1%)
Dark - Unknown Roadway Lighting1 (1.4%)

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

Road Surface

Dry55 (78.6%)
Wet11 (15.7%)
Snow2 (2.9%)
Ice1 (1.4%)
Sand; Mud; Dirt; Oil; Gravel1 (1.4%)

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

Vehicles & Demographics

Among the 196 persons involved in crashes, the 0-15 age group was most represented with 54 individuals, followed by the 16-20 age group with 26 individuals. Passenger Cars were the most frequently involved vehicle type, accounting for 75 vehicles out of 129. Chevrolet was the most common vehicle make involved in crashes, with 27 instances, followed by Ford with 20 instances.

Top Vehicle Makes (129 vehicles)

1
CHEVROLET27 (20.9%)
2
FORD20 (15.5%)
3
HONDA15 (11.6%)
4
TOYOTA8 (6.2%)
5
HYUNDAI8 (6.2%)
6
BUICK6 (4.7%)
7
NISSAN6 (4.7%)
8
DODGE5 (3.9%)
9
JEEP5 (3.9%)
10
KIA4 (3.1%)

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

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

Sex Distribution (191 persons with recorded sex)

Male106 (55.5%)
Female85 (44.5%)

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, 57 out of 70, occurred on the roadway itself, representing 81.4% of incidents. Crashes occurring off the travel lanes, including on the roadside, shoulder, or outside the trafficway, collectively accounted for 9 crashes, or 12.9% of the total. This indicates a notable proportion of run-off-road incidents.

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 the traffic control types associated with involved vehicles, 'No Control' was the most frequent, with 71 instances. Signalized locations were associated with 41 instances, and stop signs with 17 instances. These figures represent the reported presence of traffic control for 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 frequently cited contributing factor among drivers was 'Following too Close / ACDA', accounting for 17 instances, or 14.8% of driver actions. 'Improper Backing' and 'Failure to Yield' each contributed to 6 instances, representing 5.2% of driver actions. 'Improper Turn' and 'Drove off Road' were also notable factors, each with 5 instances.

Driver Contributing Factor

1
Following too Close / ACDA17 (25%)
2
Improper Backing6 (8.8%)
3
Failure to Yield6 (8.8%)
4
Other Improper Action6 (8.8%)
5
Improper Turn5 (7.4%)
6
Drove off Road5 (7.4%)
7
Unsafe Speed4 (5.9%)
8
Ran Stop Sign4 (5.9%)
9
Vision Obstruction3 (4.4%)

Showing top 9 of 16 reported. 7 additional (12 total) not shown: Left of Center, Not Discernible, Ran Red Light, Improper Passing, Improper Start From a Parked Position, Swerving to Avoid, Improper Lane Change.

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

Driver Condition

Among driver conditions, 5 drivers were reported as being 'Under the Influence of Medications / Drugs / Alcohol', representing 4.3% of all drivers. Additionally, 1 driver was noted as 'Emotional' and another as having 'Fell Asleep; Fainted; Fatigued; etc.'. These indicate specific abnormal conditions at the time of the crash.

Driver Condition

1
Apparently Normal99 (86.1%)
2
Other/Unknown9 (7.8%)
3
Under the Influence of Medications / Drugs / Alcohol5 (4.3%)
4
Emotional (E.G.; Depressed; Angry; Disturbed)1 (0.9%)
5
Fell Asleep; Fainted; Fatigued; etc.1 (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

Out of 115 drivers, 2 were distracted by 'Other distraction inside the vehicle', representing 1.7% of drivers. One driver was distracted by 'Other activity with an electronic device', accounting for 0.9% of drivers. These instances highlight specific forms of driver distraction.

Driver Distraction

1
Not Distracted102 (88.7%)
2
Other/Unknown10 (8.7%)
3
Other distraction inside the vehicle2 (1.7%)
4
Other activity with an electronic device1 (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

Road Alignment

The majority of crashes, 58 out of 70, occurred on 'Straight Level' road alignments, representing 82.9% of incidents. Crashes on curves (Curve Grade or Curve Level) accounted for 7 incidents, or 10% of the total. Crashes on grades (Straight Grade or Curve Grade) accounted for 10 incidents, or 14.3% of the total.

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 among vehicles was 'Straight Ahead', accounting for 54 instances, or 41.9% of vehicles. 'Slowing or Stopped In Traffic' was the second most frequent action, with 21 instances, representing 16.3% of vehicles. 'Making Left Turn' was also a notable action, with 15 instances, or 11.6% of vehicles.

Pre-Crash Driver Action

1
Straight Ahead54 (41.9%)
2
Slowing or Stopped In Traffic21 (16.3%)
3
Making Left Turn15 (11.6%)
4
Parked14 (10.9%)
5
Backing7 (5.4%)
6
Making Right Turn6 (4.7%)
7
Negotiating a Curve5 (3.9%)
8
Other/Unknown4 (3.1%)
9
Overtaking/Passing2 (1.6%)

Showing top 9 of 10 reported. 1 additional (1 total) not shown: Entering 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 dominant manner of collision was 'Not Collision Between Two Vehicles in Transport', accounting for 25 crashes, or 35.7% of the total. Rear-end collisions were the second most frequent, with 17 crashes, representing 24.3% of incidents. Angle collisions also constituted a significant portion, with 16 crashes, or 22.9% of the total.

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 in crashes, accounting for 75 out of 129 vehicles, or 58.1%. Sport Utility Vehicles followed with 24 vehicles, and Pickups with 12 vehicles. Commercial-like vehicles, including Single Unit Trucks, Semi-Tractors, Heavy Equipment, Cargo Vans, and Buses, collectively accounted for 8 vehicles.

Vehicle Type

"Other" combines 5 smaller categories (5 records): Motorcycle 3 Wheeled (1), Semi-Tractor (1), Heavy Equipment (1), Cargo Van (1), Bus (16+ Passengers) (1).

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

Person Type

Among the 196 persons involved in crashes, drivers represented the dominant role, accounting for 115 individuals, or 58.7%. Occupants made up the second largest group, with 81 individuals, representing 41.3% of persons. No pedestrians or cyclists were recorded among the person types.

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 196 persons involved in crashes, 180 sustained no injuries, representing 91.8% of individuals. There was 1 fatality recorded, accounting for 0.5% of persons. A total of 15 persons sustained injuries, comprising 3 serious, 11 minor, and 1 possible 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 persons whose safety equipment use was specified, 'Shoulder and Lap Belt Used' was the most common, reported for 119 individuals. A notable 53 persons were recorded as using 'None Used', representing 29.4% of those with specified safety equipment. Additionally, 4 individuals used Child Restraint Systems.

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, 55 out of 70, involved two vehicles. Single-vehicle crashes accounted for 13 incidents, representing 18.6% of all crashes. Only 2 crashes involved three vehicles, indicating no large multi-vehicle pile-ups during this period.

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: Germantown, OH
  • Total crash records analyzed: 70
  • Total persons involved: 196
  • Total vehicles involved: 129

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). "Germantown, 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/germantown/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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Germantown, OH Crash Report — 2021 | ThatCarHitMe.com