ThatCarHitMe.com
An Injuria.ai Company
CRASH INTELLIGENCE REPORT · ARLINGTON HEIGHTS, 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-heights/2021-annual-report
Yearly Traffic Safety Analysis
36 CRASHES IN
ARLINGTON HEIGHTS, OH
2021
In 2021, Arlington Heights experienced 36 traffic crashes, resulting in 0 fatalities and 22 injuries. A notable finding is that 16 crashes, representing 44.4% of all incidents, were identified as rear-end collisions. This type of collision was the most frequent manner of impact during the period.
36
Total Crash Events
0
Persons Killed
22
Persons Injured
16.7%
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
6
Hit-and-Run Crashes — 2021
Arlington Heights recorded 6 hit-and-run crashes in 2021, accounting for 16.7% of all reported incidents. It is important to note that hit-and-run status is based on the responding officer's initial determination at the crash scene.
Vulnerable Road User Casualties
In 2021, there were no fatalities among pedestrians, cyclists, or motorists in Arlington Heights. However, 21 motorists sustained injuries in crashes. Additionally, 1 pedestrian was injured, while no cyclists were injured during the period.
0
Pedestrians Killed
0
Motorists Killed
1
Pedestrians Injured
21
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 Arlington Heights peaked on Mondays, with 10 incidents reported. The most frequent time for crashes was 5 PM, which saw 5 incidents. Overall, 27 crashes occurred during daylight hours, while 9 crashes happened in dark conditions.
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 36 crashes in 2021, 20 (55.6%) resulted in no injuries. Injury crashes, encompassing serious, minor, and possible injuries, collectively accounted for 44.4% of all incidents. There were no fatal crashes reported, meaning no crash events resulted in a death.
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 Arlington Heights occurred under favorable environmental conditions. Specifically, 22 crashes happened in clear weather, 27 on dry road surfaces, and 27 during daylight hours. Adverse conditions included 8 crashes in rain, 9 on wet roads, and 9 in dark conditions.
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
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Road surface condition field
Vehicles & Demographics
Among the 85 persons involved in crashes, the 16-20 age group was the most represented, with 17 individuals. Toyota was the most frequent vehicle make involved in crashes, with 15 instances. This analysis reports vehicle makes and age distributions without speculating on underlying causes.
Top Vehicle Makes (73 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
6 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (81 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)
A significant majority of crashes, 30 out of 36, occurred directly on the roadway in Arlington Heights. Six crashes, or 16.7% of the total, happened off the travel lanes, specifically on the roadside (3 crashes) or on the shoulder (3 crashes). These incidents signal potential run-off-road scenarios.
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
The most frequently cited contributing factor was 'Following too Close / ACDA,' accounting for 17 instances. 'Improper Lane Change' was noted in 5 instances, and 'Unsafe Speed' in 3 instances. Other factors included 'Drove off Road' and 'Operating Defective Equipment,' each with 2 instances.
Driver Contributing Factor
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Driver Condition
Three drivers involved in crashes were noted to have abnormal conditions. Two drivers were reported as 'Under the Influence of Medications / Drugs / Alcohol.' Additionally, one driver was noted to have been experiencing 'Illness' at the time of the crash.
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
Driver distraction was noted in 2 crashes, specifically attributed to 'Other distraction inside the vehicle.' The majority of drivers were reported as 'Not Distracted.' This data focuses on specific, identifiable distractions.
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
Road Alignment
The majority of crashes, 26 out of 36, occurred on 'Straight Level' road alignments. However, 6 crashes (16.7%) occurred on curves ('Curve Level' or 'Curve Grade'), and 5 crashes (13.9%) occurred on grades ('Straight Grade' or 'Curve Grade'). These geometries can present elevated crash risks.
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
The most common pre-crash action for drivers was 'Straight Ahead,' observed in 37 instances. 'Slowing or Stopped In Traffic' was the next most frequent action, occurring 24 times. 'Changing Lanes' was also noted in 7 instances immediately prior to a crash.
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
Rear-end collisions were the most dominant manner of collision, accounting for 16 crashes or 44.4% of all incidents. 'Not Collision Between Two Vehicles in Transport' was reported in 10 crashes (27.8%), while 'Sideswipe; same direction' occurred in 9 crashes (25%).
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 frequently involved vehicle type, accounting for 38 instances. Sport Utility Vehicles (12) and Semi-Tractors (8) also represented significant shares of vehicles in crashes. Commercial vehicles, including Semi-Tractors and Cargo Vans, collectively accounted for 9 vehicles.
Vehicle Type
"Other" combines 1 smaller categories (1 records): Cargo Van (1).
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 69 individuals. Occupants accounted for 15 persons, while 1 pedestrian was involved. This distribution highlights that drivers are the primary participants 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
Out of 85 persons involved in crashes, 22 sustained injuries, representing 25.9% of all individuals. One person suffered serious injuries, 12 sustained minor injuries, and 9 had possible injuries. The remaining 61 persons reported no injuries.
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
The majority of participants, 77 individuals, were reported to be using 'Shoulder and Lap Belt Used.' One individual was recorded as having used 'None Used.' Two individuals used 'Shoulder Belt Only Used.'
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 most common crash type involved 2 vehicles, occurring in 19 of the 36 crashes. Single-vehicle crashes accounted for 9 incidents, representing 25% of the total. There was 1 crash that involved 5 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: Arlington Heights, OH
- Total crash records analyzed: 36
- Total persons involved: 85
- Total vehicles involved: 73
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 Heights, 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-heights/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