ThatCarHitMe.com
An Injuria.ai Company
CRASH INTELLIGENCE REPORT · ARLINGTON, OH · 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.
Authentication: None required. Public endpoint.
GET: https://thatcarhitme.com/api/crash-data/reports/data/ohio/arlington/2021-annual-report
Yearly Traffic Safety Analysis
11 CRASHES IN
ARLINGTON, OH
2021
In 2021, Arlington, OH recorded 11 total crashes, resulting in 0 fatalities and 5 injuries. A notable finding is that 18.2% of all crashes were reported as hit-and-run incidents.
11
Total Crash Events
0
Persons Killed
5
Persons Injured
18.2%
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
2
Hit-and-Run Crashes — 2021
Two crashes in Arlington, OH during 2021 were identified as hit-and-run incidents, accounting for 18.2% of all crashes. This classification is based on the responding officer's initial determination.
Vulnerable Road User Casualties
In 2021, Arlington, OH reported 0 fatalities across all user groups. There were 5 total injuries, with 2 pedestrians injured and 3 motorists injured. No cyclists were reported killed or injured.
0
Pedestrians Killed
0
Motorists Killed
2
Pedestrians Injured
3
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 2021 most frequently occurred on Sundays, with 3 incidents reported. The peak hour for crashes was 3 PM, also with 3 incidents. Approximately 73% of crashes (8 out of 11) occurred during daytime hours (6 AM to 6 PM), while 27% (3 out of 11) occurred during nighttime 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
Of the 11 crashes in 2021, 6 (54.5%) resulted in no injuries, while 5 crashes (45.5%) involved injuries. Specifically, 4 crashes resulted in minor injuries and 1 crash resulted in a possible injury. There were no fatal crashes reported in Arlington, OH during this period.
Outcome by Severity (Crash Events)
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 2021, 10 out of 11, occurred in clear weather conditions, with only 1 crash happening in cloudy weather. Regarding lighting, 7 crashes occurred during daylight, while 4 crashes occurred in dark conditions (2 on lighted roadways and 2 on unlighted roadways). Data for road surface conditions was not available.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Lighting condition field
Vehicles & Demographics
Top Vehicle Makes (21 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
2 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (18 persons with recorded sex)
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)
Eight crashes occurred on the roadway, while 2 crashes occurred on the roadside and 1 crash occurred outside the trafficway. This indicates that 3 out of 11 crashes (27.3%) occurred off the main travel lanes.
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 observations, 'No Control' was the most frequent, accounting for 14 out of 20 observations. Signalized locations (Signal) were associated with 2 observations, while uncontrolled locations (No Control, Stop Sign) were associated with 18 observations.
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 identified contributing factors were 'Improper Backing' and 'Failure to Yield', each accounting for 3 instances. Other factors included 'Drove off Road', 'Ran Stop Sign', 'Following too Close / ACDA', and 'Improper Passing', each with 1 instance.
Driver Contributing Factor
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Driver Condition
One driver was reported as 'Under the Influence of Medications / Drugs / Alcohol', representing 6.25% of the 16 drivers with known conditions. The remaining drivers were either 'Apparently Normal' or 'Other/Unknown'.
Driver Condition
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
One driver was reported as engaged in 'Other activity with an electronic device', accounting for 6.7% of the 15 drivers with known distraction status. The remaining drivers were 'Not Distracted' or 'Other/Unknown'.
Driver Distraction
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Person-level records linked to crash events
Pre-Crash Driver Action
The most common pre-crash actions were 'Straight Ahead' (6 instances, 28.6%), followed by 'Backing' (3 instances, 14.3%) and 'Parked' (3 instances, 14.3%). These three actions collectively represent over half of all reported pre-crash actions.
Pre-Crash Driver Action
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 4 crashes (36.4%). 'Angle', 'Backing', and 'Rear-end' collisions each occurred 2 times, representing 18.2% of crashes individually.
Manner of Collision
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Vehicle Type
Pick up trucks were the most common vehicle type involved, with 7 instances. Passenger cars accounted for 6 instances, and Sport Utility Vehicles for 3 instances. Commercial vehicles, including Semi-Tractor and Single Unit Truck, collectively represented 2 instances.
Vehicle Type
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Person Type
Drivers constituted the largest group of persons involved in crashes, with 16 instances (80%). Pedestrians accounted for 2 instances (10%), and occupants for 2 instances (10%).
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 19 persons with known injury severity, 5 individuals sustained injuries, comprising 4 minor injuries and 1 possible injury. The remaining 14 persons reported no injuries. There were no fatal injuries reported.
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 motor vehicle occupants, 'Shoulder and Lap Belt Used' was reported for 15 individuals. One individual was reported as using 'None Used', representing 6.25% of those with known safety equipment status.
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, 10 out of 11, involved 2 vehicles. Only 1 crash was a single-vehicle incident, accounting for 9.1% of all crashes.
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: Arlington, OH
- Total crash records analyzed: 11
- Total persons involved: 20
- Total vehicles involved: 21
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). "Arlington, 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/arlington/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
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 – 2021-12-31
Generated: July 5, 2026 · All rights reserved