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CRASH INTELLIGENCE REPORT · ELMWOOD PLACE, 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/elmwood-place/2021-annual-report
Yearly Traffic Safety Analysis
32 CRASHES IN
ELMWOOD PLACE, OH
2021
In 2021, Elmwood Place experienced 32 traffic crashes, resulting in 0 fatalities and 7 injuries. A notable finding is that 7 crashes, or 21.9% of the total, were reported as hit-and-run incidents. The majority of crashes, 78.1%, resulted in no reported injuries.
32
Total Crash Events
0
Persons Killed
7
Persons Injured
21.9%
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
7
Hit-and-Run Crashes — 2021
During 2021, 7 crashes in Elmwood Place were identified as hit-and-run incidents, accounting for 21.9% of all crashes. This status is based on the initial determination by the responding officer. These incidents contributed to the overall crash statistics for the year.
Vulnerable Road User Casualties
In Elmwood Place during 2021, there were no fatalities reported for pedestrians, cyclists, or motorists. A total of 7 motorists sustained injuries in crashes. There were no reported injuries for pedestrians or cyclists.
0
Motorists Killed
7
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 Elmwood Place showed a peak on Thursdays, with 11 incidents recorded. The most frequent hour for crashes was 3 PM, accounting for 6 incidents. Overall, 20 crashes occurred during daylight hours, while 12 occurred during non-daylight conditions (dark, dawn, or dusk).
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 32 crashes in Elmwood Place, 25 (78.1%) resulted in no injuries, categorized as property-damage-only incidents. The remaining 7 crashes (21.9%) involved injuries, with 6 minor injuries and 1 possible injury. There were no fatal crashes recorded in 2021, meaning no crash events resulted in a 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 Elmwood Place occurred under clear weather conditions, accounting for 23 of 32 crashes. Similarly, 24 crashes took place on dry road surfaces. Daylight was the prevailing lighting condition for 20 crashes, while 12 crashes occurred during dark or dawn/dusk periods.
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
The age groups 26-34 and 35-44 were the most represented among persons involved in crashes, with 16 and 13 individuals respectively. Among vehicle makes, Ford was the most frequently involved with 13 vehicles, followed by Chevrolet with 8 vehicles. Nissan vehicles were involved in 6 crashes.
Top Vehicle Makes (63 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
3 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (54 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)
Most crashes, 27 of 32, occurred directly on the roadway in Elmwood Place. A total of 4 crashes (12.5%) occurred off the travel lanes, with 3 on the roadside and 1 on the shoulder. This indicates a portion of crashes involved vehicles leaving the main traffic path.
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 vehicles involved in crashes, 39 were at locations with no traffic control, making it the dominant control type. Approximately 61.9% of vehicles involved in crashes were at uncontrolled locations, while 25.4% were at signalized intersections. An additional 8 vehicles were at locations with stop signs.
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 identified among involved units were 'Other Improper Action' (6 units), 'Following too Close / ACDA' (5 units), and 'Failure to Yield' (4 units). These three factors collectively accounted for 15 units. Other factors like 'Drove off Road' and 'Improper Backing' each contributed to 2 units.
Driver Contributing Factor
Showing top 9 of 10 reported. 1 additional (1 total) not shown: Vision Obstruction.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Driver Condition
Among drivers involved in crashes, 3 were reported as emotional, 3 were fatigued or fell asleep, and 3 were under the influence of medications, drugs, or alcohol. Each of these conditions accounted for 6% of the 50 drivers for whom condition was noted. These represent the abnormal conditions reported for drivers.
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
Identified driver distractions included 'Other distraction inside the vehicle' (3 instances), 'Other distraction outside the vehicle' (2 instances), and 'Passenger' (1 instance). These specific distractions were noted among the drivers involved in crashes. 'Other distraction inside the vehicle' was the most common specific distraction, affecting 6% of 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
The vast majority of crashes, 31 out of 32, occurred on straight, level road alignments. Only 1 crash occurred on a straight grade, representing 3.1% of all crashes. There were no crashes reported on curved road sections.
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 involved were 'Straight Ahead' (32 vehicles), 'Parked' (13 vehicles), and 'Backing' (5 vehicles). These three actions accounted for 50.8%, 20.6%, and 7.9% of all involved vehicles, respectively. A significant portion of vehicles were either proceeding straight or stationary prior to the 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 manners of collision were 'Sideswipe; same direction' and 'Rear-end', each accounting for 6 crashes (18.8% of the total). 'Angle' collisions and 'Backing' collisions were also notable, each occurring 5 times (15.6% of the total). These four types represent the dominant collision patterns.
Manner of Collision
"Other" combines 1 smaller categories (1 records): Head-on (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 overwhelmingly the most common vehicle type involved in crashes, accounting for 56 of the 63 total vehicles. This represents 88.9% of all vehicles in crashes. Sport Utility Vehicles (4) and Pick up trucks (3) made up the remaining vehicle types.
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 50 individuals. This represents 87.7% of the total 57 persons recorded. Occupants were the second largest group, with 7 individuals 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
Out of 57 persons involved in crashes, 50 (87.7%) sustained no injuries. A total of 7 persons (12.3%) sustained injuries, including 6 minor injuries and 1 possible injury. There were no fatalities 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
Safety equipment use among participants showed that 24 individuals used both shoulder and lap belts. However, 11 individuals (19.3%) were recorded as using no safety equipment. An additional 17 individuals had 'Other/Unknown' safety equipment use.
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 involved two vehicles, accounting for 23 of the 32 total crashes. Single-vehicle crashes represented 5 incidents, or 15.6% of the total. Four 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 6, 2026
Data Coverage
- Reporting period: 2021-01-01 through 2021-12-31 (365 days)
- Geographic scope: Elmwood Place, OH
- Total crash records analyzed: 32
- Total persons involved: 57
- Total vehicles involved: 63
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). "Elmwood Place, 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/elmwood-place/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