ThatCarHitMe.com
An Injuria.ai Company
CRASH INTELLIGENCE REPORT · OHIO, OH · AUGUST 2021
Purpose: Machine-readable JSON endpoint for AI agents, LLMs, researchers, and programmatic consumers. Returns all underlying crash data and AI-generated commentary without HTML.
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GET: https://thatcarhitme.com/api/crash-data/reports/data/ohio/statewide/august-2021-report
Monthly Traffic Safety Analysis
229 CRASHES IN
OHIO, OH
AUGUST 2021
In August 2021, Allen County recorded 229 traffic crashes, resulting in 4 fatalities and 112 injuries. A notable finding from the data is that single-vehicle crashes, classified as 'Not Collision Between Two Vehicles in Transport,' were the most frequent type of incident, accounting for 35.4% of all crashes. The majority of collisions were two-vehicle incidents, representing 65.9% of the total.
229
Total Crash Events
4
Persons Killed
112
Persons Injured
15.7%
Hit-and-Run Rate
Note: "Persons Killed" (4) counts individual fatalities across all crash events. "Fatal" in the severity table below (4) 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 · 2021-08-01 to 2021-08-31 · Aggregate counts from crash, person, and vehicle records
36
Hit-and-Run Crashes — August 2021
During this period, 36 crashes were classified as hit-and-run incidents, accounting for 15.7% of all crashes in the county. This classification is based on the determination of the responding law enforcement officer at the scene of the collision.
Vulnerable Road User Casualties
A total of four fatalities and 112 injuries were recorded in August 2021. Motorists accounted for the majority of these outcomes, with 3 individuals killed and all 112 injuries sustained by this group. One pedestrian fatality was also reported, while no injuries were recorded for pedestrians or cyclists.
1
Pedestrians Killed
3
Motorists Killed
0
Pedestrians Injured
112
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-08-01 to 2021-08-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
Crash frequency peaked on Mondays, which saw a total of 45 incidents. The single busiest hour for crashes was from 2:00 PM to 2:59 PM, with 26 events recorded. Overall, crashes were concentrated in the afternoon, with a significant number occurring between 12:00 PM and 5:00 PM, and the vast majority of incidents (181 of 229) happened during daylight hours.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-08-01 to 2021-08-31 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-08-01 to 2021-08-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Of the 229 total crashes, 150 incidents, or 65.5%, resulted in no injuries. The remaining 34.5% of crashes involved at least one possible injury, minor injury, serious injury, or fatality. There were 4 fatal crashes recorded during this period, which resulted in 4 total fatalities.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-08-01 to 2021-08-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-08-01 to 2021-08-31 · Most severe injury per crash record
Road & Environmental Conditions
The majority of crashes occurred in favorable environmental conditions. Data shows that 79% of crashes happened in daylight, 76% in clear weather, and 85.6% on dry road surfaces. Conversely, 18 crashes occurred during rain, 32 on wet roads, and 46 in dark or dawn/dusk lighting conditions.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-08-01 to 2021-08-31 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-08-01 to 2021-08-31 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-08-01 to 2021-08-31 · Road surface condition field
Vehicles & Demographics
Among the 529 people involved in crashes, the 45-54 age group was the most represented, with 73 individuals. An analysis of the 408 vehicles involved shows that Ford was the most frequent make with 68 vehicles, followed by Chevrolet with 57 and Honda with 35.
Top Vehicle Makes (408 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-08-01 to 2021-08-31 · Vehicle unit records
34 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (505 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-08-01 to 2021-08-31 · Person-level records linked to crash events
Crash Location (First Harmful Event)
The initial point of impact for most crashes was on the primary travel lanes, with 192 incidents (83.8%) occurring 'On Roadway'. A total of 25 crashes, or 10.9%, were classified as run-off-road events, with the first harmful event occurring on the roadside (15), shoulder (7), or in the median (3).
Crash Location (First Harmful Event)
"Other" combines 1 smaller categories (1 records): Other/Unknown (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-08-01 to 2021-08-31 · Crash-level records
Traffic Control Device
Analysis of traffic controls at crash locations indicates that 241 of the 408 vehicles involved were in areas with 'No Control'. Another 112 vehicles were involved in crashes at locations controlled by a traffic signal, and 45 were at locations with a stop sign.
Traffic Control Device
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-08-01 to 2021-08-31 · Vehicle unit records
Driver Contributing Factor
The most frequently cited contributing factor for drivers involved in crashes was 'Failure to Yield,' documented in 48 instances. This was followed by 'Following too Close / ACDA' with 38 instances and 'Drove off Road' with 24 instances. 'Ran Red Light' was also a notable factor, cited in 17 cases.
Driver Contributing Factor
Showing top 9 of 18 reported. 9 additional (30 total) not shown: Improper Turn, Left of Center, Unsafe Speed, Swerving to Avoid, Improper Passing, Operating Defective Equipment, Load shifting/Falling/Spilling, Stopped or Parked Illegally, Wrong Way.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-08-01 to 2021-08-31 · Vehicle unit records
Commercial / Truck Involvement
Crashes involving commercial trucks accounted for 24 of the 229 total incidents, or 10.5%. Of these, 19 involved a semi-tractor trailer, while the remaining 5 involved other types of commercial vehicles.
Vulnerable Road Users & Motorcycles
A total of 11 crashes involved vulnerable road users or motorcyclists. Motorcyclists were involved in 8 incidents, while bicyclists were involved in 2 and pedestrians in 1. Combined, crashes involving pedestrians and bicyclists accounted for 3 of the 229 total incidents.
Animal-Involved Crashes
There were 16 crashes involving animals, representing 7% of all incidents in the county. Deer were the most common animal involved, accounting for 13 of these 16 collisions. The remaining 3 incidents involved other, unspecified animals.
Driver Condition
Among the 388 drivers involved in crashes, 18 were noted as having a condition other than 'Apparently Normal.' Six drivers were reportedly under the influence of medications, drugs, or alcohol, and another 6 were documented as emotional. Additionally, 3 drivers were reported to have fallen asleep or been fatigued.
Driver Condition
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-08-01 to 2021-08-31 · Person-level records linked to crash events
Driver Distraction
For the 388 drivers involved, a specific distraction was identified in 22 cases. The most common documented distractions included other activities inside the vehicle (6 drivers), manually operating an electronic device (5 drivers), and distractions outside the vehicle (5 drivers).
Driver Distraction
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-08-01 to 2021-08-31 · Person-level records linked to crash events
Road Alignment
The vast majority of crashes, 210 out of 229, occurred on straight and level road segments. Fourteen crashes occurred on roads with a grade, and 8 crashes took place on a curve. This indicates that 3.5% of crashes were on curves and 6.1% were on grades.
Road Alignment
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-08-01 to 2021-08-31 · Crash-level records
Top Cities
The geographic distribution of crashes within Allen County was concentrated in a few key areas. The City of Lima accounted for the largest share with 86 crashes (37.6% of the total). The townships of American and Bath followed, with 29 and 28 crashes, respectively.
Top Cities
Showing top 9 of 16 reported. 7 additional (17 total) not shown: Auglaize, Monroe, Elida, Sugar Creek, Amanda, Spencerville, Fort Shawnee.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-08-01 to 2021-08-31 · Crash-level records
Pre-Crash Driver Action
Analysis of the 408 vehicles involved shows that the most common action prior to a crash was driving 'Straight Ahead,' documented for 229 vehicles. The next most frequent pre-crash actions were 'Slowing or Stopped In Traffic' (56 vehicles) and 'Making Left Turn' (48 vehicles).
Pre-Crash Driver Action
Showing top 9 of 15 reported. 6 additional (10 total) not shown: Overtaking/Passing, Entering Traffic Lane, Leaving Traffic Lane, Making U-Turn, Driverless, Standing Outside Disabled Vehicle.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-08-01 to 2021-08-31 · Vehicle unit records
Manner of Collision
The most common crash type was 'Not Collision Between Two Vehicles in Transport,' which includes single-vehicle crashes, accounting for 81 incidents or 35.4% of the total. Angle collisions were the second-most frequent type, with 65 incidents representing 28.4% of all crashes.
Manner of Collision
"Other" combines 1 smaller categories (6 records): Sideswipe; opposite direction (6).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-08-01 to 2021-08-31 · Crash-level records
Vehicle Type
Passenger cars were the most common vehicle type involved in crashes, accounting for 204 of the 408 total vehicles (50.0%). Sport Utility Vehicles were the second-most common, with 81 involved (19.9%), followed by pickup trucks at 48 (11.8%).
Vehicle Type
"Other" combines 11 smaller categories (17 records): Single Unit Truck (5), Bicycle (2), Cargo Van (2), Other Vehicle (1), Pedestrian/Skater (1), Motorcycle 3 Wheeled (1), Moped or Motorized Bicycle (1), Heavy Equipment (1), Golf Cart (1), Farm Equipment (1), Van (9-15 Seats) (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-08-01 to 2021-08-31 · Vehicle unit records
Person Type
Of the 529 individuals involved in crashes, the majority were drivers, accounting for 388 people or 73.3% of the total. Vehicle occupants made up the next largest group with 140 individuals (26.5%), and one person was a pedestrian.
Person Type
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-08-01 to 2021-08-31 · Crash-level records
Person Injury Severity
Among the 529 people involved in crashes, 405 (76.6%) sustained no injuries. A total of 116 individuals were either injured or killed, including 4 fatalities, 4 serious injuries, 47 minor injuries, and 61 possible injuries.
Person Injury Severity
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-08-01 to 2021-08-31 · Crash-level records
Occupant Safety Equipment
Safety equipment usage was documented for most of the 529 people involved in crashes, with 425 individuals reported as using a shoulder and lap belt. However, 28 individuals, or 5.3% of the total, were documented as using no safety equipment at the time of the crash.
Occupant Safety Equipment
"Other" combines 2 smaller categories (5 records): Helmet Used (4), Lap Belt Only Used (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-08-01 to 2021-08-31 · Person-level records linked to crash events
Vehicles Per Crash
Two-vehicle collisions were the most frequent type of incident, with 151 crashes (65.9%) involving two vehicles. Single-vehicle crashes were the next most common, accounting for 66 incidents or 28.8% of the total. Multi-vehicle crashes involving three or more vehicles were less frequent, with 12 such incidents recorded.
Vehicles Per Crash
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-08-01 to 2021-08-31 · 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: 2021-08-01 through 2021-08-31
- Report generated: July 6, 2026
Data Coverage
- Reporting period: 2021-08-01 through 2021-08-31 (31 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 229
- Total persons involved: 529
- Total vehicles involved: 408
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). "ohio, OH Crash Intelligence Report: August 2021." Published July 6, 2026. Reporting period: 2021-08-01 to 2021-08-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/august-2021-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
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Ohio Crash Data (ODOT TIMS) · Csv
Period: 2021-08-01 – 2021-08-31
Generated: July 6, 2026 · All rights reserved