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CRASH INTELLIGENCE REPORT · CLEVES, 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/cleves/2021-annual-report
Yearly Traffic Safety Analysis
44 CRASHES IN
CLEVES, OH
2021
In Cleves, Ohio, during 2021, there were 44 reported crashes resulting in 0 fatalities and 30 injuries. The most frequent crash type was rear-end collisions, accounting for 34.1% of all incidents. A significant portion of crashes, 59.1%, resulted in no reported injuries.
44
Total Crash Events
0
Persons Killed
30
Persons Injured
13.6%
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
6
Hit-and-Run Crashes — 2021
Hit-and-run incidents constituted 6 of the 44 total crashes in 2021, representing 13.6% of all reported crashes. This rate indicates that over one in ten crashes involved a driver leaving the scene, based on the responding officer's initial determination.
Vulnerable Road User Casualties
In 2021, there were no fatalities reported among pedestrians, cyclists, or motorists in Cleves. However, 30 individuals sustained injuries, with 29 being motorists and 1 being a pedestrian. No cyclists were reported as injured during this period.
0
Pedestrians Killed
0
Motorists Killed
1
Pedestrians Injured
29
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 Cleves during 2021 most frequently occurred on Mondays, with 10 incidents, and peaked at 6 PM, with 5 crashes. The majority of crashes, 59.1% (26 of 44), happened during daylight hours, while 25% (11 of 44) occurred 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
Of the 44 crashes, 59.1% (26 crashes) resulted in no injuries, categorized as 'No Injury'. Injury-involved crashes accounted for 40.9% (18 crashes), with 2 crashes resulting in serious injuries, 11 in minor injuries, and 5 in possible injuries. There were no fatal crashes reported in Cleves during 2021.
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
During 2021, 50% of crashes (22 of 44) occurred in clear weather conditions, and 70.5% (31 of 44) happened on dry road surfaces. Adverse weather conditions, including rain, fog, or snow, contributed to 20.5% (9 of 44) of crashes, while 29.5% (13 of 44) occurred on wet roads. Daylight was the prevailing lighting condition for 59.1% of 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
Among the 101 persons involved in crashes, the 16-20 age group was the most represented with 20 individuals, followed by the 26-34 age group with 15 individuals. Passenger Cars were the most frequently involved vehicle type, accounting for 39 vehicles, followed by Sport Utility Vehicles with 19 vehicles. Ford vehicles were involved most often, with 17 instances, followed by Chevrolet with 12 and Honda and Dodge each with 9.
Top Vehicle Makes (85 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
6 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (98 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, 41 out of 44, occurred on the roadway, indicating incidents within the primary travel lanes. A smaller proportion, 3 crashes (6.8%), took place on the roadside, suggesting these were run-off-road incidents or involved vehicles off the main thoroughfare.
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 vehicles involved in crashes, 42 were at locations controlled by a signal, representing 49.4% of all vehicles. In contrast, 34 vehicles (40%) were involved in crashes at locations with no traffic control. Stop signs were present for 7 vehicles 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 common contributing factor among drivers was 'Following too Close / ACDA,' attributed to 17 drivers, representing 40.5% of identified factors. 'Failure to Yield' was cited for 5 drivers (11.9%), while 'Ran Red Light' and 'Left of Center' each accounted for 4 drivers (9.5%). 'Unsafe Speed' was a factor for 3 drivers.
Driver Contributing Factor
Showing top 9 of 12 reported. 3 additional (3 total) not shown: Other Improper Action, Ran Stop Sign, Load shifting/Falling/Spilling.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Driver Condition
While 69 drivers were apparently normal, 2 drivers (2.5% of all drivers) were reported to be 'Under the Influence of Medications / Drugs / Alcohol' at the time of their crash. This indicates a small but present factor of impaired driving.
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
Of the drivers involved, 3 were identified as distracted, representing 3.8% of drivers with known distraction status. This included 1 driver manually operating an electronic communication device, 1 with another distraction inside the vehicle, and 1 with another distraction outside the vehicle.
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 18.2% of crashes (8 of 44) occurred on curved sections of the roadway, which includes 7 on 'Curve Grade' and 1 on 'Curve Level'. Additionally, 36.4% of crashes (16 of 44) took place on roadways with a grade, combining 'Straight Grade' and 'Curve Grade' locations.
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
Before crashes occurred, the most common driver action was 'Straight Ahead,' accounting for 45 instances (54.9% of identified actions). 'Slowing or Stopped In Traffic' was the second most frequent action, with 19 instances (23.2%). 'Parked' vehicles were involved in 5 instances, representing 6.1% of pre-crash actions.
Pre-Crash Driver Action
Showing top 9 of 10 reported. 1 additional (1 total) not shown: Overtaking/Passing.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Manner of Collision
The most dominant manner of collision was 'Rear-end,' accounting for 15 crashes or 34.1% of all incidents. 'Not Collision Between Two Vehicles in Transport' was the second most common, with 12 crashes (27.3%), followed by 'Angle' collisions, which occurred in 11 crashes (25%).
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 common vehicle type involved in crashes, with 39 instances. Sport Utility Vehicles followed with 19 instances, and Pick-up trucks with 10. Commercial vehicles, including Single Unit Trucks, Cargo Vans, and Semi-Tractors, collectively accounted for 9 vehicles involved in crashes.
Vehicle Type
"Other" combines 4 smaller categories (5 records): Semi-Tractor (2), Pedestrian/Skater (1), Other Vehicle (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 largest group of persons involved in crashes, with 79 individuals, representing 78.2% of all persons. Occupants accounted for 21 individuals (20.8%), while 1 pedestrian was involved, making up 1% of the total persons.
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 101 persons involved in crashes, 30 individuals sustained injuries, comprising 29.7% of the total. Specifically, 2 persons suffered serious injuries, 14 minor injuries, and 14 possible injuries. 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
The majority of participants, 80 individuals, utilized 'Shoulder and Lap Belt Used' as their safety equipment. However, 6 participants (6.4% of those with known equipment use) were recorded as having 'None Used,' indicating a lack of restraint.
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
Two-vehicle crashes were the most common, accounting for 37 of the 44 total crashes. Single-vehicle crashes represented 5 incidents (11.4% of the total). There were 2 crashes that 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: Cleves, OH
- Total crash records analyzed: 44
- Total persons involved: 101
- Total vehicles involved: 85
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). "Cleves, 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/cleves/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