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CRASH INTELLIGENCE REPORT · FOREST PARK, 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/forest-park/2021-annual-report
Yearly Traffic Safety Analysis
577 CRASHES IN
FOREST PARK, OH
2021
In 2021, Forest Park, OH experienced 577 traffic crashes, resulting in 1 fatality and 199 injuries. A significant finding is that nearly 23% of all crashes, totaling 132 incidents, were reported as hit-and-run events.
577
Total Crash Events
1
Persons Killed
199
Persons Injured
22.9%
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
132
Hit-and-Run Crashes — 2021
In 2021, 132 crashes in Forest Park were reported as hit-and-run incidents, representing 22.9% of all crashes. This determination is based on the responding officer's initial assessment at the scene.
Vulnerable Road User Casualties
In 2021, there was 1 pedestrian fatality and 3 pedestrians injured in Forest Park. Motorists accounted for the highest number of injuries, with 196 individuals injured. There were no reported fatalities or injuries for cyclists.
1
Pedestrians Killed
0
Motorists Killed
3
Pedestrians Injured
196
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
Traffic crashes in Forest Park in 2021 showed distinct temporal patterns, with Friday being the peak day for crashes, accounting for 99 incidents. The peak hour for crashes was 5 PM, with 63 occurrences. The majority of crashes, 377 out of 577, occurred during daylight hours, while 171 crashes occurred in dark conditions (lighted or unlighted roadways).
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 577 crashes in Forest Park in 2021, 75.2% (434 crashes) resulted in no injuries, categorized as property-damage-only incidents. Injury crashes, encompassing serious, minor, and possible injuries, totaled 142 incidents. There was 1 fatal crash, 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 in Forest Park during 2021 occurred under clear weather (64.1%, 370 crashes), dry road surfaces (80.2%, 463 crashes), and daylight conditions (65.3%, 377 crashes). Adverse conditions also contributed to crashes, with 62 incidents occurring in rain and 107 on wet road surfaces.
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
Drivers aged 26-34 and 35-44 were the most represented age groups among persons involved in crashes, with 218 and 195 individuals respectively. Chevrolet, Ford, and Toyota were the most frequently involved vehicle makes, with 155, 142, and 120 occurrences respectively.
Top Vehicle Makes (1,102 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
107 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (1,124 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, 476 out of 577, occurred on the roadway. However, 77 crashes (13.3%) occurred off the travel lanes, specifically on the roadside (27), shoulder (15), in the median (13), or outside the trafficway (22).
Crash Location (First Harmful Event)
"Other" combines 4 smaller categories (7 records): On ramp (3), Driveway/Alley access (2), Crossover (1), On Gore (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Traffic Control Device
Among vehicles involved in crashes, 636 were at locations with no traffic control, representing the dominant control type. Locations with traffic signals accounted for 427 involved vehicles, while 674 vehicles were involved in crashes at uncontrolled locations (no control, stop signs, yield signs, or roundabouts).
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 frequent contributing factors among vehicles involved in crashes were 'Following too Close / ACDA' (185 units, 16.8%), 'Other Improper Action' (79 units, 7.2%), and 'Failure to Yield' (72 units, 6.5%). Other notable factors included 'Improper Backing' (47 units) and 'Drove off Road' (43 units).
Driver Contributing Factor
Showing top 9 of 19 reported. 10 additional (59 total) not shown: Swerving to Avoid, Improper Turn, Left of Center, Improper Passing, Load shifting/Falling/Spilling, Stopped or Parked Illegally, Ran Stop Sign, Operating Defective Equipment, Wrong Way, Improper Start From a Parked Position.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Commercial / Truck Involvement
A total of 48 commercial vehicles were involved in crashes, comprising 4.35% of all vehicles. This total included 33 'Other Commercial Vehicles' and 15 'Semi-Tractor Trailers'.
Driver Condition
Among drivers involved in crashes, 30 were reported with abnormal conditions. This included 18 drivers under the influence of medications, drugs, or alcohol, 10 with physical impairments, and 2 who fell asleep, fainted, or were fatigued.
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
A total of 23 drivers were reported as distracted in crashes. The most common distractions were 'Other distraction inside the vehicle' (9 drivers), 'Other distraction outside the vehicle' (6 drivers), and 'Other activity with an electronic device' (3 drivers).
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
Most crashes occurred on straight road alignments, with 314 on straight-level sections and 228 on straight-grade sections. Crashes on curved road sections accounted for 35 incidents (6.07%), while 253 crashes (43.85%) occurred on road grades.
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 actions for vehicles were 'Straight Ahead' (506 units, 45.9%), 'Slowing or Stopped In Traffic' (232 units, 21.0%), and 'Parked' (87 units, 7.9%). These three actions collectively accounted for 825 of the 1102 vehicles involved.
Pre-Crash Driver Action
Showing top 9 of 17 reported. 8 additional (32 total) not shown: Negotiating a Curve, Overtaking/Passing, Leaving Traffic Lane, Driverless, Making U-Turn, Walking; Running; Jogging; Playing, Working, Other Non-Motorist.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Manner of Collision
The most prevalent manner of collision was 'Rear-end', accounting for 200 crashes or 34.7% of all incidents. 'Angle' collisions were the second most common, with 134 crashes (23.2%), followed by 'Not Collision Between Two Vehicles in Transport' with 125 crashes (21.7%).
Manner of Collision
"Other" combines 2 smaller categories (7 records): Sideswipe; opposite direction (6), Rear-to-rear (1).
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 616 of the 1102 vehicles (55.9%). Sport Utility Vehicles (246) and Pickups (95) were also significant. Commercial vehicle types, including semi-tractors, single unit trucks, cargo vans, and buses, collectively represented 55 vehicles (4.99%).
Vehicle Type
"Other" combines 8 smaller categories (34 records): Single Unit Truck (14), Other Vehicle (7), Pedestrian/Skater (4), Van (9-15 Seats) (3), Motorcycle 2 Wheeled (2), Bus (16+ Passengers) (2), Heavy Equipment (1), Bicycle (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 majority of persons involved in crashes, with 1008 individuals (84.3%). Occupants accounted for 184 persons, while pedestrians represented 4 individuals.
Person Type
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Person Injury Severity
Among all persons involved in crashes, 1 individual sustained fatal injuries, and 199 individuals sustained various levels of injury (serious, minor, or possible). This means 0.08% of persons sustained fatal injuries and 16.64% sustained non-fatal 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 persons involved in crashes used safety equipment, with 971 using shoulder and lap belts. However, 24 individuals were reported as using no safety equipment, representing 2.0% of all persons.
Occupant Safety Equipment
"Other" combines 2 smaller categories (2 records): Booster Seat (1), Helmet Used (1).
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 involved two vehicles, accounting for 443 out of 577 incidents. Single-vehicle crashes represented 95 incidents (16.46%), while 39 crashes involved three or more 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: Forest Park, OH
- Total crash records analyzed: 577
- Total persons involved: 1,196
- Total vehicles involved: 1,102
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). "Forest Park, 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/forest-park/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