Yearly Traffic Safety Analysis

42 CRASHES IN
ADDYSTON, OH
2021

In 2021, Addyston experienced 42 crashes, resulting in 0 fatalities and 31 injuries. A notable finding is that half of all crashes (50%) resulted in no injuries.

42

Total Crash Events

0

Persons Killed

31

Persons Injured

11.9%

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

5

Hit-and-Run Crashes — 2021

In 2021, Addyston recorded 5 hit-and-run crashes, representing 11.9% of all crashes. The determination of a crash as a hit-and-run is based on the initial assessment by the responding officer.

Vulnerable Road User Casualties

In 2021, there were no fatalities recorded among pedestrians, cyclists, or motorists in Addyston. Motorists accounted for the highest number of injuries, with 30 individuals injured. Additionally, 1 pedestrian sustained injuries, while no cyclists were injured.

0

Pedestrians Killed

0

Motorists Killed

1

Pedestrians Injured

30

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 Thursday was the peak day for crashes, with 10 incidents recorded. The peak hour for crashes was 4 PM, with 5 occurrences. The majority of crashes, 27 out of 42 (64.3%), occurred during daylight hours.

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, 50% of crashes in Addyston resulted in no injuries. Injury crashes accounted for the other 50%, with 4.8% being serious injuries, 21.4% minor injuries, and 23.8% possible injuries. There were no fatal crashes recorded in this period, meaning no crashes resulted in a fatality.

Outcome by Severity (Crash Events)

Serious Injury2serious injury crashes4.8%
Minor Injury9minor injury crashes21.4%
Possible Injury10possible injury crashes23.8%
No Injury21no injury crashes50%

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 Addyston during 2021 occurred under optimal conditions, with 35 crashes (83.3%) in clear weather and 34 crashes (81%) on dry road surfaces. Daylight conditions were present in 27 crashes (64.3%). Conversely, 5 crashes occurred in rain and 8 crashes on wet road surfaces, indicating a smaller proportion under adverse conditions.

Weather

Clear35 (83.3%)
Rain5 (11.9%)
Cloudy1 (2.4%)
Fog; Smog; Smoke1 (2.4%)

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

Lighting

Daylight27 (64.3%)
Dark - Lighted Roadway12 (28.6%)
Dawn/Dusk2 (4.8%)
Dark - Roadway Not Lighted1 (2.4%)

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

Road Surface

Dry34 (81.0%)
Wet8 (19.0%)

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

Vehicles & Demographics

Among persons involved in crashes, the 26-34 and 35-44 age groups each accounted for 14 individuals, while the 16-20 and 55-64 age groups each accounted for 12 individuals. The most frequently involved vehicle makes were Chevrolet with 11 vehicles, followed by Honda with 10 vehicles, and Ford with 9 vehicles.

Top Vehicle Makes (81 vehicles)

1
CHEVROLET11 (13.6%)
2
HONDA10 (12.3%)
3
FORD9 (11.1%)
4
TOYOTA6 (7.4%)
5
KIA5 (6.2%)
6
NISSAN4 (4.9%)
7
CHRYSLER3 (3.7%)
8
HYUNDAI3 (3.7%)
9
SUBARU3 (3.7%)
10
BMW3 (3.7%)

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

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

Sex Distribution (86 persons with recorded sex)

Male53 (61.6%)
Female33 (38.4%)

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, 37 out of 42, occurred on the roadway. Five crashes, representing 11.9% of the total, occurred off the main travel lanes, with 3 on the roadside and 2 on the shoulder, indicating 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

Driver Contributing Factor

Among contributing factors identified for drivers, 'Failure to Yield' was cited 9 times, 'Following too Close / ACDA' was cited 8 times, and 'Other Improper Action' was cited 5 times. These represent the most frequent specific improper actions contributing to crashes.

Driver Contributing Factor

1
Failure to Yield9 (23.1%)
2
Following too Close / ACDA8 (20.5%)
3
Other Improper Action5 (12.8%)
4
Left of Center4 (10.3%)
5
Improper Backing3 (7.7%)
6
Improper Lane Change3 (7.7%)
7
Drove off Road2 (5.1%)
8
Ran Red Light2 (5.1%)
9
Swerving to Avoid1 (2.6%)

Showing top 9 of 11 reported. 2 additional (2 total) not shown: Ran Stop Sign, 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

Driver Condition

Among drivers involved in crashes, 1 driver was noted as having 'Fell Asleep; Fainted; Fatigued; etc.', and 1 driver was reported with an 'Illness'. These two instances represent specific abnormal driver conditions recorded.

Driver Condition

1
Apparently Normal64 (92.8%)
2
Other/Unknown3 (4.3%)
3
Fell Asleep; Fainted; Fatigued; etc.1 (1.4%)
4
Illness1 (1.4%)

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

Three instances of driver distraction were recorded: 2 instances of 'Other distraction inside the vehicle' and 1 instance of 'Other activity with an electronic device'. These represent the specific types of distractions reported for drivers.

Driver Distraction

1
Not Distracted58 (82.9%)
2
Other/Unknown9 (12.9%)
3
Other distraction inside the vehicle2 (2.9%)
4
Other activity with an electronic device1 (1.4%)

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

In 2021, 12 crashes (28.6%) occurred on curves, comprising 10 on curve grades and 2 on curve levels. Additionally, 22 crashes (52.4%) occurred on grades, including both straight grades and curve grades. These geometries are known to elevate crash risk.

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

Immediately prior to crashes, 39 vehicles were reported as going 'Straight Ahead'. Another 9 vehicles were 'Slowing or Stopped In Traffic', and 8 vehicles were 'Making Left Turn'. These represent the most frequent pre-crash actions recorded for involved vehicles.

Pre-Crash Driver Action

1
Straight Ahead39 (48.1%)
2
Slowing or Stopped In Traffic9 (11.1%)
3
Making Left Turn8 (9.9%)
4
Parked6 (7.4%)
5
Making Right Turn5 (6.2%)
6
Changing Lanes4 (4.9%)
7
Negotiating a Curve3 (3.7%)
8
Backing3 (3.7%)
9
Other/Unknown2 (2.5%)

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

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

Manner of Collision

The most dominant manner of collision in 2021 was 'Angle' collisions, accounting for 12 crashes, or 28.6% of the total. 'Rear-end' collisions were the second most frequent, with 10 crashes (23.8%).

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 dominant vehicle type involved in crashes, accounting for 49 vehicles. Sport Utility Vehicles followed with 14 vehicles, and Pickups with 8 vehicles. Additionally, 2 Semi-Tractors, 1 Single Unit Truck, and 1 Bus (16+ Passengers) were involved.

Vehicle Type

"Other" combines 4 smaller categories (4 records): Bus (16+ Passengers) (1), Motorcycle 2 Wheeled (1), Passenger Van (minivan) (1), Bicycle (1).

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

Person Type

The majority of individuals involved in crashes were drivers, totaling 73 persons. Occupants accounted for 15 persons, while 1 pedestrian was also involved. This distribution highlights the primary roles of individuals in these incidents.

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, 31 individuals sustained injuries, representing 34.8% of the total. Specifically, 2 persons suffered serious injuries, 13 had minor injuries, and 16 reported possible injuries. There were no fatalities recorded among persons.

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 persons for whom safety equipment use was reported, 49 individuals used 'Shoulder and Lap Belt'. Notably, 12 persons were recorded as having 'None Used', representing 18.2% of those with known safety equipment status. Additionally, 2 used child restraint systems and 2 used helmets.

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 involved 2 vehicles, accounting for 33 of the 42 incidents. Single-vehicle crashes represented 6 incidents, or 14.3% of the total. There were also 3 crashes that involved 3 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: Addyston, OH
  • Total crash records analyzed: 42
  • Total persons involved: 89
  • Total vehicles involved: 81

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). "Addyston, 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/addyston/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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Addyston, OH Crash Report — 2021 | ThatCarHitMe.com