ThatCarHitMe.com
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CRASH INTELLIGENCE REPORT · GRAND RAPIDS, 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.
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GET: https://thatcarhitme.com/api/crash-data/reports/data/ohio/grand-rapids/2021-annual-report
Yearly Traffic Safety Analysis
28 CRASHES IN
GRAND RAPIDS, OH
2021
In 2021, Grand Rapids, OH recorded a total of 28 crashes, resulting in 1 fatality and 3 injuries. The majority of crashes, 85.7%, were reported as having no injuries. A notable 17.9% of all crashes involved a hit-and-run incident.
28
Total Crash Events
1
Persons Killed
3
Persons Injured
17.9%
Hit-and-Run Rate
Note: "Persons Killed" (1) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) 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
5
Hit-and-Run Crashes — 2021
There were 5 hit-and-run crashes reported in Grand Rapids, OH during 2021, accounting for 17.9% of all crashes. It is important to note that hit-and-run status is based on the responding officer's initial determination.
Vulnerable Road User Casualties
In 2021, motorists were the only road user group to experience fatalities or injuries in Grand Rapids, OH. One motorist was killed, and 3 motorists sustained injuries in crashes. There were no reported fatalities or injuries among pedestrians or cyclists.
1
Motorists Killed
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 peaked on Wednesdays, with 7 incidents reported, and during the 6 AM hour, which saw 4 crashes. Crash occurrences were equally distributed between dark conditions (14 crashes, including 13 in unlighted areas) and daylight/dawn/dusk conditions (14 crashes).
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
The majority of crashes in Grand Rapids, OH during 2021, 85.7%, resulted in no injuries. Injury crashes, encompassing serious and minor injuries, accounted for 10.7% of all incidents. There was 1 fatal crash recorded, which resulted in 1 fatality.
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 occurred under clear weather (71.4%) and dry road surface (82.1%) conditions. Daylight was present in 42.9% of crashes, while dark conditions on unlighted roadways accounted for 46.4% of incidents. Adverse conditions such as rain or snow each contributed to 1 crash, and wet or snowy road surfaces were present in 5 crashes.
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
Top Vehicle Makes (42 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 (48 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)
The majority of crashes, 85.7%, occurred on the roadway itself in Grand Rapids, OH during 2021. A total of 14.3% of crashes occurred off the travel lanes, with 3 incidents on the shoulder and 1 on the roadside.
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
For the units involved in crashes in Grand Rapids, OH, the dominant traffic control condition was 'No Control,' accounting for 83.3% of units. Stop signs were present for 16.7% of units involved in crashes.
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 cited contributing factors for drivers in Grand Rapids, OH crashes were 'Left of Center' (4 incidents), 'Failure to Yield' (3 incidents), and 'Drove off Road' (3 incidents). These factors collectively represent a significant portion of identified improper actions.
Driver Contributing Factor
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Driver Condition
In 2021, one driver involved in a crash in Grand Rapids, OH was reported to be 'Under the Influence of Medications / Drugs / Alcohol,' representing 2.9% of drivers with a known condition. The vast majority of drivers, 33, were reported as 'Apparently Normal'.
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
Road Alignment
Most crashes in Grand Rapids, OH occurred on 'Straight Level' road alignments, accounting for 89.3% of incidents. Crashes on curves ('Curve Level') represented 3.6% of the total, while those on grades ('Straight Grade') accounted for 7.1%.
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 by drivers was 'Straight Ahead,' accounting for 73.2% of reported actions. 'Making Left Turn' was the second most frequent at 9.8%, followed by 'Slowing or Stopped In Traffic' at 4.9%.
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 in Grand Rapids, OH during 2021 was 'Not Collision Between Two Vehicles in Transport,' representing 64.3% of all crashes. 'Angle' and 'Sideswipe; opposite direction' collisions each accounted for 14.3% of incidents.
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 in Grand Rapids, OH crashes, accounting for 17 out of 42 vehicles. Sport Utility Vehicles (10) and Pickups (7) were also notably involved. Semi-Tractors represented 7.1% of all vehicles involved.
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, accounting for 78.4% of all individuals recorded. Occupants represented 21.6% of persons involved. No pedestrians or cyclists were recorded among the persons involved.
Person Type
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Person Injury Severity
Of the persons with recorded injury severity, 2.0% sustained fatal injuries and 6.1% sustained either serious or minor injuries. The majority of persons, 45 out of 49, were recorded with 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
A high proportion of participants, 84.1%, were recorded using 'Shoulder and Lap Belt Used' safety equipment. One person was reported as using 'None Used,' representing 2.3% 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
Single-vehicle crashes were the most common type in Grand Rapids, OH, accounting for 57.1% of all incidents. Two-vehicle crashes made up 35.7% of the total, while 2 crashes involved three 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: Grand Rapids, OH
- Total crash records analyzed: 28
- Total persons involved: 51
- Total vehicles involved: 42
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). "Grand Rapids, 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/grand-rapids/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