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CRASH INTELLIGENCE REPORT · EUCLID, 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/euclid/2021-annual-report
Yearly Traffic Safety Analysis
910 CRASHES IN
EUCLID, OH
2021
In 2021, Euclid experienced 910 traffic crashes, resulting in 5 fatalities and 300 injuries. A significant portion of these incidents involved drivers following too closely, which was the most frequently cited contributing factor.
910
Total Crash Events
5
Persons Killed
300
Persons Injured
16.5%
Hit-and-Run Rate
Note: "Persons Killed" (5) counts individual fatalities across all crash events. "Fatal" in the severity table below (5) 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
150
Hit-and-Run Crashes — 2021
There were 150 hit-and-run crashes in Euclid in 2021, accounting for 16.5% 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, 5 motorists were killed and 287 motorists were injured in crashes. While no pedestrians or cyclists were killed, 13 pedestrians sustained injuries.
0
Pedestrians Killed
5
Motorists Killed
13
Pedestrians Injured
287
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 Euclid peaked on Wednesdays with 148 incidents, and the peak hour for crashes was 4 PM, recording 70 incidents. Overall, a majority of crashes occurred during daylight hours, with 594 incidents occurring in daylight compared to 287 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 Euclid, 74.9% (682 crashes), resulted in no injuries. Injury-causing crashes (serious, minor, possible) accounted for 24.5% of all incidents. There were 5 fatal crashes, resulting in 5 total 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
Most crashes in 2021 occurred under clear weather conditions (529 crashes or 58.1%) and on dry road surfaces (705 crashes or 77.5%). Adverse conditions such as rain contributed to 105 crashes (11.5%) and wet road surfaces were present in 184 crashes (20.2%). A substantial number of crashes, 287 (31.5%), occurred during dark lighting 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 all persons involved in crashes, the 26-34 age group was the most represented, with 418 individuals. Chevrolet was the most frequently identified vehicle make in crashes, with 231 vehicles involved, excluding unknown makes.
Top Vehicle Makes (1,707 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
109 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (2,115 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, 801 incidents, occurred on the roadway. Crashes occurring off the travel lanes, including on the roadside, shoulder, or in the median, accounted for 58 incidents, representing 6.4% of crashes where location was specified.
Crash Location (First Harmful Event)
"Other" combines 3 smaller categories (7 records): In Median (3), On Gore (2), Off ramp (2).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Traffic Control Device
Among locations where traffic control information was recorded for involved units, 1159 units were at locations with no control, representing 68.1% of these units. Signalized locations accounted for 405 units, or 23.8% of units with recorded traffic control.
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 cited for involved units was 'Following too Close / ACDA' with 228 instances, accounting for 25.9% of known factors. 'Failure to Yield' was the second most frequent with 155 instances (17.6%), followed by 'Improper Lane Change' with 76 instances (8.6%).
Driver Contributing Factor
Showing top 9 of 21 reported. 12 additional (122 total) not shown: Unsafe Speed, Ran Red Light, Left of Center, Swerving to Avoid, Improper Crossing, Ran Stop Sign, Operating Defective Equipment, Wrong Way, Stopped or Parked Illegally, Load shifting/Falling/Spilling, Vision Obstruction, 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
Vulnerable Road Users & Motorcycles
A total of 17 crashes involved vulnerable road users (pedestrians and bicyclists), representing 1.9% of all crashes. This includes 15 pedestrian crashes and 2 bicycle crashes.
Impairment (Alcohol / Drugs)
There were 46 crashes involving impaired driving, accounting for 5.1% of all crashes in 2021. This total includes instances of alcohol impairment, drug impairment, and combined alcohol and drug impairment.
Driver Condition
Among drivers with recorded conditions, 54 instances indicated abnormal conditions such as being under the influence of medications/drugs/alcohol (36 instances), physical impairment (7 instances), or falling asleep/fatigued (6 instances). These abnormal conditions represent 3.4% of drivers with specified conditions.
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 34 instances, with the most common being 'Other distraction inside the vehicle' (11 instances) and 'Other distraction outside the vehicle' (11 instances). These real distractions accounted for 2.2% of drivers with specified distraction information.
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
Approximately 6.7% of crashes (61 incidents) occurred on curves, while 22.4% of crashes (203 incidents) occurred on grades. The majority of crashes, 686 incidents, happened on straight, level road alignments.
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 frequent pre-crash action was 'Straight Ahead', accounting for 53.5% of recorded actions (880 instances). 'Slowing or Stopped In Traffic' was the second most common at 13.6% (224 instances), followed by 'Making Left Turn' at 8.9% (147 instances).
Pre-Crash Driver Action
Showing top 9 of 18 reported. 9 additional (92 total) not shown: Negotiating a Curve, Leaving Traffic Lane, Other/Unknown, Walking; Running; Jogging; Playing, Driverless, Entering or Crossing Specified Location, Making U-Turn, Standing, 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 two most common manners of collision were 'Angle' collisions, accounting for 27.2% of crashes (245 incidents), and 'Rear-end' collisions, making up 26.6% (239 incidents). These two types collectively represent over half of all crashes with a specified manner of collision.
Manner of Collision
"Other" combines 2 smaller categories (16 records): Other/Unknown (10), Rear-to-rear (6).
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 dominant vehicle type involved in crashes, accounting for 1044 vehicles or 61.6% of all vehicles with a specified type. Commercial vehicles, including semi-tractors, cargo vans, single unit trucks, and buses, collectively represented 5.3% of involved vehicles.
Vehicle Type
"Other" combines 8 smaller categories (84 records): Bus (16+ Passengers) (18), Pedestrian/Skater (15), Van (9-15 Seats) (13), Unknown or Hit/Skip (11), Other Vehicle (10), Motorcycle 2 Wheeled (10), Heavy Equipment (5), Bicycle (2).
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, making up 74.0% (1608 individuals). Occupants accounted for 25.3% (551 individuals), while pedestrians represented 0.7% (15 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, 0.2% (5 individuals) sustained fatal injuries. A total of 13.8% (300 individuals) sustained some form of injury, ranging from serious to possible.
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
Among persons for whom safety equipment use was recorded, 9.9% (199 individuals) were noted as using no safety equipment. The majority, 1720 individuals, used shoulder and lap belts.
Occupant Safety Equipment
"Other" combines 2 smaller categories (15 records): Booster Seat (10), Helmet Used (5).
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 18.8% of all incidents, with 171 crashes involving only one vehicle. Additionally, 6 crashes involved four vehicles, indicating multi-vehicle incidents.
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: Euclid, OH
- Total crash records analyzed: 910
- Total persons involved: 2,174
- Total vehicles involved: 1,707
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). "Euclid, 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/euclid/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