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An Injuria.ai Company
CRASH INTELLIGENCE REPORT · OHIO, OH · APRIL 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/april-2021-report
Monthly Traffic Safety Analysis
246 CRASHES IN
OHIO, OH
APRIL 2021
In April 2021, Allen County recorded 246 traffic crashes, resulting in 2 fatalities and 122 injuries. A significant portion of these incidents, 43.9%, were single-vehicle crashes not involving a collision with another vehicle in transport. The data also indicates that Thursday was the peak day for crashes, and the 4 p.m. hour saw the highest frequency of incidents.
246
Total Crash Events
2
Persons Killed
122
Persons Injured
16.7%
Hit-and-Run Rate
Note: "Persons Killed" (2) counts individual fatalities across all crash events. "Fatal" in the severity table below (2) 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 · 2021-04-01 to 2021-04-30 · Aggregate counts from crash, person, and vehicle records
41
Hit-and-Run Crashes — April 2021
Based on the initial determination of responding officers, 41 crashes in April 2021 were classified as hit-and-run incidents. This represents 16.7% of all crashes recorded in Allen County during this period.
Vulnerable Road User Casualties
During this period, there was one pedestrian fatality and three pedestrians injured in a total of four crashes involving pedestrians. Additionally, one motorist was killed and 119 were injured. No cyclists were reported killed or injured in the single bicycle-involved crash.
1
Pedestrians Killed
1
Motorists Killed
3
Pedestrians Injured
119
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-04-01 to 2021-04-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
Crash patterns in Allen County show a concentration during the latter part of the work week, with Thursday being the peak day with 49 incidents. The afternoon commute hour from 4 p.m. to 5 p.m. was the single busiest hour for crashes, recording 25 events. Overall, crashes were most frequent during daylight hours, which accounted for 184 of the 246 total incidents.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-04-01 to 2021-04-30 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-04-01 to 2021-04-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Of the 246 crashes, the majority (67.9%) resulted in no injuries. Injury-related crashes, including serious, minor, and possible injuries, accounted for 77 incidents. There were 2 fatal crashes recorded, which resulted in a total of 2 fatalities.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-04-01 to 2021-04-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-04-01 to 2021-04-30 · Most severe injury per crash record
Road & Environmental Conditions
The vast majority of crashes occurred in ideal driving conditions. Crashes in clear weather accounted for 68.3% of the total, while 82.9% happened on dry road surfaces. Similarly, 184 out of 246 crashes (74.8%) took place during daylight hours. Adverse conditions were less common, with 22 crashes reported during rain and 41 on wet roads.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-04-01 to 2021-04-30 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-04-01 to 2021-04-30 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-04-01 to 2021-04-30 · Road surface condition field
Vehicles & Demographics
Analysis of persons involved in crashes shows the 16-20 age group was the most represented, with 96 individuals. Among the 423 vehicles involved, Ford (75 vehicles) and Chevrolet (74 vehicles) were the most frequent makes recorded in crash reports. Dodge was the third most common make with 33 vehicles involved.
Top Vehicle Makes (423 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-04-01 to 2021-04-30 · Vehicle unit records
37 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (530 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-04-01 to 2021-04-30 · Person-level records linked to crash events
Crash Location (First Harmful Event)
The initial point of impact for most crashes (204 out of 246) occurred on the roadway itself. However, a notable number of incidents were run-off-road events, with a combined 30 crashes originating on the roadside, shoulder, or in the median. These run-off-road crashes represent 12.2% of all incidents.
Crash Location (First Harmful Event)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-04-01 to 2021-04-30 · Crash-level records
Traffic Control Device
Analysis of traffic controls present at crash locations shows that most vehicles involved (268 of 423) were at sites with no traffic control device. Vehicles involved in crashes at signalized intersections accounted for 97 instances. Crashes involving vehicles at locations with stop signs were recorded 41 times.
Traffic Control Device
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-04-01 to 2021-04-30 · Vehicle unit records
Driver Contributing Factor
The most frequently cited contributing factor for drivers was 'Following too Close / ACDA,' attributed to 48 vehicles. 'Failure to Yield' was the second most common factor, noted for 36 vehicles involved in crashes. 'Drove off Road' was listed as a contributing circumstance for 29 vehicles.
Driver Contributing Factor
Showing top 9 of 19 reported. 10 additional (30 total) not shown: Ran Stop Sign, Operating Defective Equipment, Improper Lane Change, Left of Center, Load shifting/Falling/Spilling, Swerving to Avoid, Wrong Way, Improper Crossing, Improper Passing, Lying in Roadway.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-04-01 to 2021-04-30 · Vehicle unit records
Commercial / Truck Involvement
Crashes involving commercial trucks were recorded in 12 instances, accounting for approximately 4.9% of all crashes in this period. Of these, 9 involved a semi-tractor trailer, while 3 involved other types of commercial vehicles.
Animal-Involved Crashes
Collisions with animals accounted for 19 crashes, or 7.7% of the total incidents in April. The vast majority of these, 17 crashes, involved collisions with deer. An additional 2 crashes were recorded as involving other types of animals.
Impairment (Alcohol / Drugs)
Impairment was a factor in 21 crashes, representing 8.5% of all incidents. Among these, alcohol was suspected in 14 cases, drugs in 5 cases, and a combination of alcohol and drugs in 2 cases. These figures represent a minimum, as impairment may be under-reported in official crash data.
Driver Condition
While most drivers (336) were listed as 'Apparently Normal,' 31 drivers were recorded with a specific adverse condition. This includes 14 drivers noted as being under the influence of medications, drugs, or alcohol. Additionally, 7 drivers had a physical impairment, and 6 were noted as being in an emotional state such as anger or distress.
Driver Condition
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-04-01 to 2021-04-30 · Person-level records linked to crash events
Driver Distraction
Among the 393 drivers involved in crashes, 19 were noted as being distracted. The most common specified distraction was 'Other distraction inside the vehicle,' with 7 instances. Manually operating an electronic device like a phone was cited for 3 drivers, while another 2 were distracted by passengers.
Driver Distraction
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-04-01 to 2021-04-30 · Person-level records linked to crash events
Road Alignment
The majority of crashes (212) occurred on straight, level sections of roadway. However, road geometry played a role in some incidents, with 19 crashes (7.7%) occurring on curves. An identical number of crashes, 19, also occurred on graded sections of road, both straight and curved.
Road Alignment
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-04-01 to 2021-04-30 · Crash-level records
Top Cities
The geographic distribution of crashes within Allen County was concentrated in a few key areas. The City of Lima saw the highest volume, with 112 crashes, accounting for 45.5% of the county's total. The townships of American and Bath followed, with 30 and 28 crashes respectively.
Top Cities
Showing top 9 of 16 reported. 7 additional (18 total) not shown: Sugar Creek, Bluffton, Delphos, Jackson, Fort Shawnee, Elida, Amanda.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-04-01 to 2021-04-30 · Crash-level records
Pre-Crash Driver Action
Prior to impact, the most common action for vehicles involved was 'Straight Ahead,' which accounted for 251 of the 423 units. A significant number of vehicles, 49, were either slowing or stopped in traffic at the time of the crash. Making a left turn was the third most frequent pre-crash action, recorded for 28 vehicles.
Pre-Crash Driver Action
Showing top 9 of 15 reported. 6 additional (9 total) not shown: Changing Lanes, Other Non-Motorist, Overtaking/Passing, Leaving Traffic Lane, Standing, Making U-Turn.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-04-01 to 2021-04-30 · Vehicle unit records
Manner of Collision
The most common type of crash was a single-vehicle incident, categorized as 'Not Collision Between Two Vehicles in Transport,' which accounted for 108 crashes or 43.9% of the total. Among multi-vehicle crashes, angle collisions were the most frequent, with 54 incidents (22.0%), followed closely by rear-end collisions, which occurred 47 times (19.1%).
Manner of Collision
"Other" combines 2 smaller categories (5 records): Head-on (4), Rear-to-rear (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-04-01 to 2021-04-30 · Crash-level records
Vehicle Type
Passenger cars were the most common vehicle type involved in crashes, accounting for 208 of the 423 vehicles. Sport Utility Vehicles (100) and Pick-up trucks (54) were also frequently involved. Commercial vehicles, including 11 semi-tractors and 6 single-unit trucks, were present in these incidents as well.
Vehicle Type
"Other" combines 8 smaller categories (20 records): Motorcycle 2 Wheeled (5), Cargo Van (5), Pedestrian/Skater (4), Other Vehicle (2), Van (9-15 Seats) (1), Bicycle (1), Moped or Motorized Bicycle (1), All Terrain Vehicle (ATV/UTV) (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-04-01 to 2021-04-30 · Vehicle unit records
Person Type
Of the 556 individuals involved in crashes, the majority were drivers, accounting for 393 people or 70.7% of the total. Vehicle occupants (passengers) made up the next largest group with 159 individuals. Four pedestrians were also involved in crashes during this period.
Person Type
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-04-01 to 2021-04-30 · Crash-level records
Person Injury Severity
Across all 556 people involved in crashes, 122 individuals sustained some level of injury, representing 21.9% of all participants. This included 13 serious injuries, 47 minor injuries, and 62 possible injuries. Two individuals suffered fatal injuries, while the majority, 427 people, were not injured.
Person Injury Severity
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-04-01 to 2021-04-30 · Crash-level records
Occupant Safety Equipment
Safety equipment usage was reported for 552 participants, with 439 individuals (79.5%) recorded as using both a shoulder and lap belt. A total of 20 individuals involved in crashes were documented as not using any safety equipment. Additionally, various child restraint systems were in use, including 13 forward-facing seats and 7 rear-facing seats.
Occupant Safety Equipment
"Other" combines 2 smaller categories (4 records): Helmet Used (2), Shoulder Belt Only Used (2).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-04-01 to 2021-04-30 · Person-level records linked to crash events
Vehicles Per Crash
The majority of incidents, 157 out of 246, were two-vehicle collisions, making up 63.8% of the total. Single-vehicle crashes were also common, accounting for 80 incidents or 32.5% of all crashes. Crashes involving three or more vehicles were less frequent, with a total of 9 such events recorded.
Vehicles Per Crash
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-04-01 to 2021-04-30 · 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: 2021-04-01 through 2021-04-30
- Report generated: July 6, 2026
Data Coverage
- Reporting period: 2021-04-01 through 2021-04-30 (30 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 246
- Total persons involved: 556
- Total vehicles involved: 423
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: April 2021." Published July 6, 2026. Reporting period: 2021-04-01 to 2021-04-30. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/april-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: 2021-04-01 – 2021-04-30
Generated: July 6, 2026 · All rights reserved