ThatCarHitMe.com
An Injuria.ai Company
CRASH INTELLIGENCE REPORT · BREWSTER, 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/brewster/2021-annual-report
Yearly Traffic Safety Analysis
20 CRASHES IN
BREWSTER, OH
2021
In 2021, Brewster experienced 20 traffic crashes, resulting in 0 fatalities and 3 injuries. A notable finding is that 90% of these crashes, totaling 18 incidents, resulted in no reported injuries.
20
Total Crash Events
0
Persons Killed
3
Persons Injured
5.0%
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
1
Hit-and-Run Crashes — 2021
One hit-and-run crash was reported in Brewster during 2021, accounting for 5% of all crashes. This classification is based on the initial determination made by the responding officer at the scene.
Vulnerable Road User Casualties
In 2021, 3 motorists sustained injuries in crashes within Brewster. There were no reported fatalities among pedestrians, cyclists, or motorists. Additionally, no pedestrians or cyclists were reported injured during this period.
0
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
In 2021, Saturday was the peak day for crashes in Brewster, with 7 incidents reported. The peak hour for crashes was 6 PM, with 3 occurrences. The majority of crashes, 60% (12 incidents), occurred during daylight hours, while 35% (7 incidents) 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
The majority of crashes in 2021 were property-damage-only incidents, accounting for 90% (18 crashes). Injury crashes, including minor and possible injuries, comprised 10% (2 crashes) of the total. There were no fatal crashes reported in Brewster during this period, with 0 fatalities.
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
A significant portion of crashes occurred under favorable conditions, with 80% happening in clear weather and 90% on dry road surfaces. However, 20% of crashes occurred in adverse weather conditions such as cloudy, severe crosswinds, or snow. Additionally, 10% of crashes took place on wet or icy 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
Top Vehicle Makes (34 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 (47 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
Traffic Control Device
The most frequent traffic control condition associated with crashes was 'No Control', accounting for 21 instances. Signalized locations, including signals and flashers, were present in 9 instances. Crashes at locations with stop signs were reported in 4 instances.
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 common contributing factor identified in crashes was 'Following too Close / ACDA', observed in 4 instances. 'Failure to Yield' was a factor in 3 instances, while 'Ran Stop Sign' and 'Improper Backing' each contributed to 2 instances. These factors highlight specific driver actions preceding crashes.
Driver Contributing Factor
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Driver Distraction
Driver distraction was noted in 5 instances, with 'Other distraction inside the vehicle' being the most frequent, occurring twice. 'Manually operating an electronic communication device', 'Other distraction outside the vehicle', and 'Talking on hands-free communication device' each accounted for one instance of distraction.
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, 65% (13 incidents), occurred on roadways with a grade, including both straight and curved sections. Specifically, 60% of crashes happened on a 'Straight Grade'. Only 5% (1 incident) of crashes occurred on a 'Curve Grade' alignment.
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 was 'Straight Ahead', accounting for 22 instances. 'Slowing or Stopped In Traffic' was the second most frequent action, occurring in 4 instances. 'Backing' was also noted in 3 instances immediately before 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
The most frequent manner of collision was 'Not Collision Between Two Vehicles in Transport', accounting for 25% of incidents. 'Backing', 'Rear-end', and 'Sideswipe; opposite direction' each represented 15% of the collisions. 'Angle' collisions made up 10% of the total.
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 19 instances out of 34 total vehicles. Sport Utility Vehicles were involved in 8 instances, and pick-up trucks in 5 instances. These three types represent the majority of vehicles in crashes.
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 dominant role among persons involved in crashes, accounting for 33 out of 48 individuals. Occupants made up the remaining 15 individuals. There were no pedestrians or cyclists recorded in this breakdown.
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, 44 individuals sustained no injuries. A total of 3 individuals were injured, comprising 1 minor injury and 2 possible injuries. No fatalities were reported among persons involved in crashes.
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 vast majority of participants, 41 out of 47, were reported to be using shoulder and lap belts. Child restraint systems (forward-facing and rear-facing) and booster seats were used by 4 individuals. One participant was noted as using no safety equipment, and another used only a lap belt.
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 accounted for 35% of all incidents, with 7 occurrences. The majority of crashes, 60% (12 incidents), involved two vehicles. One crash involved three vehicles, indicating a small proportion of multi-vehicle pile-ups.
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 6, 2026
Data Coverage
- Reporting period: 2021-01-01 through 2021-12-31 (365 days)
- Geographic scope: Brewster, OH
- Total crash records analyzed: 20
- Total persons involved: 48
- Total vehicles involved: 34
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). "Brewster, OH Crash Intelligence Report: 2021." Published July 6, 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/brewster/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 6, 2026 · All rights reserved