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CRASH INTELLIGENCE REPORT · OHIO, OH · JANUARY 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/january-2021-report
Monthly Traffic Safety Analysis
207 CRASHES IN
OHIO, OH
JANUARY 2021
In January 2021, Allen County recorded 207 traffic crashes, resulting in 4 fatalities and 69 injuries. A notable finding from the data is that nearly half of all incidents, 103 crashes (49.8%), were single-vehicle events not involving a collision with another vehicle in transport. The remaining crashes were predominantly rear-end (49) and angle (35) collisions.
207
Total Crash Events
4
Persons Killed
69
Persons Injured
15.9%
Hit-and-Run Rate
Note: "Persons Killed" (4) counts individual fatalities across all crash events. "Fatal" in the severity table below (3) 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 2021-01-31 · Aggregate counts from crash, person, and vehicle records
33
Hit-and-Run Crashes — January 2021
According to initial officer reports, 33 crashes in January involved a hit-and-run, accounting for 15.9% of all incidents in Allen County. This classification is based on the responding officer's determination at the scene. These incidents contributed to the overall crash statistics for the month.
Vulnerable Road User Casualties
Of the 4 fatalities recorded, 2 were pedestrians and 2 were motorists. An additional 2 pedestrians sustained injuries. Motorists comprised the vast majority of non-fatal injuries, with 67 individuals injured. No cyclists were reported killed or injured in crashes during this period.
2
Pedestrians Killed
2
Motorists Killed
2
Pedestrians Injured
67
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
Crash occurrences in Allen County peaked on Fridays, which saw 38 incidents during January. The single busiest hour for crashes was 3 p.m., with 17 events recorded. Crashes were distributed throughout the day, with notable peaks during the morning commute starting at 6 a.m. and a larger peak during the afternoon commute beginning at 3 p.m.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The majority of crashes in Allen County resulted in no injuries, with 156 incidents (75.4%) classified as property-damage-only. Injury-sustaining crashes, ranging from possible to serious, accounted for 48 incidents. There were 3 fatal crashes recorded, which resulted in a total of 4 fatalities.
Severity is per crash event (most severe injury). 3 fatal crash events resulted in 4 persons killed.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · Most severe injury per crash record
Road & Environmental Conditions
While a significant portion of crashes occurred in adverse conditions, many happened in ideal environments. Crashes on dry roads accounted for 121 incidents (58.5%), and 89 crashes (43%) occurred in clear weather. Daylight conditions were present for 99 crashes (47.8%), while the remaining 108 crashes happened during dawn, dusk, or in dark conditions.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · Road surface condition field
Vehicles & Demographics
Analysis of the 343 vehicles involved in crashes shows that Ford (60 vehicles), Chevrolet (52), and Dodge (35) were the most frequently represented makes. Among the 434 individuals involved, the 16-20 age group was the largest, with 74 people recorded in crashes. The 26-34 age group followed with 66 individuals.
Top Vehicle Makes (343 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · Vehicle unit records
25 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (413 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · Person-level records linked to crash events
Crash Location (First Harmful Event)
The first harmful event in most crashes, 162 incidents, occurred on the primary roadway. However, a significant number of crashes originated off the main travel lanes. In total, 43 crashes (20.8%) were classified as run-off-road events, with the first harmful event occurring on the roadside (20), shoulder (6), in the median (8), or outside the trafficway (9).
Crash Location (First Harmful Event)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · Crash-level records
Traffic Control Device
Analysis of traffic controls at crash locations indicates that the majority of vehicles, 230 out of 342, were involved in crashes where no traffic control device was present. Vehicles involved in crashes at signalized intersections accounted for 79 units. Crashes at locations with stop signs involved 26 vehicles.
Traffic Control Device
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · Vehicle unit records
Driver Contributing Factor
The most common contributing factor cited for drivers was 'Following too Close / ACDA,' which was noted for 46 drivers. 'Failure to Yield' was the second most frequent factor, attributed to 35 drivers. Other significant factors included 'Drove off Road' (23 drivers) and 'Unsafe Speed' (19 drivers).
Driver Contributing Factor
Showing top 9 of 15 reported. 6 additional (12 total) not shown: Improper Passing, Swerving to Avoid, Wrong Way, Improper Lane Change, Improper Crossing, Operating Defective Equipment.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · Vehicle unit records
Commercial / Truck Involvement
Crashes involving commercial trucks accounted for 18 incidents in January. Of these, 15 involved a semi-tractor trailer, while 3 involved other types of commercial vehicles. These heavy truck-involved crashes represent 8.7% of all crashes for the month.
Animal-Involved Crashes
A total of 19 crashes were attributed to collisions with animals, making up 9.2% of all incidents. The vast majority of these, 18 crashes, involved deer. One additional crash involved another type of animal.
Driver Condition
While most drivers (273) were listed as 'Apparently Normal,' several adverse driver conditions were noted for 19 individuals. These included 6 drivers under the influence of medications, drugs, or alcohol, 4 who fell asleep or were fatigued, and 4 with a physical impairment. These drivers represent 6% of all drivers with a known condition.
Driver Condition
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · Person-level records linked to crash events
Driver Distraction
Among the 315 drivers involved in crashes, 21 were noted as being distracted. The most common distraction was an 'other distraction inside the vehicle,' cited for 12 drivers. Electronic device use was a factor for at least 5 drivers, including 2 manually operating a device and 2 talking on a hand-held device.
Driver Distraction
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · Person-level records linked to crash events
Road Alignment
The majority of crashes, 181 incidents, occurred on straight and level sections of roadway. However, road geometry played a role in a portion of crashes. A total of 19 crashes (9.2%) occurred on curves, while 10 crashes (4.8%) took place on a grade.
Road Alignment
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · Crash-level records
Top Cities
The geographic distribution of crashes was concentrated in a few key areas of the county. The City of Lima accounted for the largest volume with 96 crashes, or 46.4% of the county's total. The townships of American (25 crashes) and Shawnee (24 crashes) were the next most frequent locations, collectively representing another 23.7% of all incidents.
Top Cities
Showing top 9 of 15 reported. 6 additional (16 total) not shown: Delphos, Bluffton, Monroe, Jackson, Auglaize, Spencer.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · Crash-level records
Pre-Crash Driver Action
Analysis of vehicle actions prior to collision shows that a majority of vehicles, 201 out of 343 (58.6%), were moving straight ahead. The second most common pre-crash action was slowing or stopping in traffic, which was recorded for 42 vehicles (12.2%). Making a left turn was the third most frequent action, noted for 27 vehicles.
Pre-Crash Driver Action
Showing top 9 of 12 reported. 3 additional (5 total) not shown: Other Non-Motorist, Walking; Running; Jogging; Playing, Changing Lanes.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · Vehicle unit records
Manner of Collision
Nearly half of all crashes, 103 incidents (49.8%), were single-vehicle events not involving a collision with another moving vehicle. For crashes involving multiple vehicles, rear-end collisions were the most common type, accounting for 49 crashes (23.7%). Angle collisions were the next most frequent, with 35 incidents recorded.
Manner of Collision
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · Crash-level records
Vehicle Type
Passenger cars were the most common vehicle type involved in crashes, accounting for 172 of the 343 vehicles (50.1%). Sport Utility Vehicles were the second most frequent type with 84 vehicles (24.5%), followed by pickup trucks at 41 vehicles. Commercial vehicles, including semi-tractors and single unit trucks, were involved in 20 instances.
Vehicle Type
"Other" combines 3 smaller categories (7 records): Single Unit Truck (3), Cargo Van (2), Bicycle (2).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · Vehicle unit records
Person Type
Of the 434 people involved in crashes, the majority were drivers, accounting for 315 individuals (72.6%). Vehicle occupants (passengers) made up the next largest group with 115 individuals (26.5%). Four pedestrians were also involved in crashes during this period.
Person Type
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · Crash-level records
Person Injury Severity
Out of 434 individuals involved in crashes, 4 sustained fatal injuries and 69 sustained non-fatal injuries. The non-fatal injuries included 7 serious injuries, 38 minor injuries, and 24 possible injuries. The vast majority of people involved, 357 individuals, were not injured.
Person Injury Severity
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · Crash-level records
Occupant Safety Equipment
Safety equipment usage was recorded for 420 motor vehicle occupants. The overwhelming majority, 354 individuals, were reported as using both a shoulder and lap belt. However, 13 occupants were documented as using no safety equipment at the time of their crash.
Occupant Safety Equipment
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · Person-level records linked to crash events
Vehicles Per Crash
The data shows that two-vehicle collisions were the most common scenario, accounting for 117 of the 207 total crashes (56.5%). Single-vehicle crashes were also frequent, with 81 incidents recorded, representing 39.1% of the total. A smaller number of crashes, 9 in total, involved three or more vehicles.
Vehicles Per Crash
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-01-31 · 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 2021-01-31
- Report generated: July 6, 2026
Data Coverage
- Reporting period: 2021-01-01 through 2021-01-31 (31 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 207
- Total persons involved: 434
- Total vehicles involved: 343
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: January 2021." Published July 6, 2026. Reporting period: 2021-01-01 to 2021-01-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/january-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: 2021-01-01 – 2021-01-31
Generated: July 6, 2026 · All rights reserved