ThatCarHitMe.com
An Injuria.ai Company
CRASH INTELLIGENCE REPORT · CADIZ, 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/cadiz/2021-annual-report
Yearly Traffic Safety Analysis
53 CRASHES IN
CADIZ, OH
2021
In 2021, Cadiz experienced 53 traffic crashes, resulting in 0 fatalities and 23 injuries. The majority of crashes, 73.6%, did not involve any injuries. Notably, 43.4% of crashes were classified as 'Not Collision Between Two Vehicles in Transport', indicating a high proportion of single-vehicle or non-impact events.
53
Total Crash Events
0
Persons Killed
23
Persons Injured
7.5%
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
4
Hit-and-Run Crashes — 2021
There were 4 hit-and-run crashes in Cadiz during 2021, accounting for 7.5% of all crashes. This status is based on the responding officer's initial determination at the crash scene.
Vulnerable Road User Casualties
In 2021, there were 0 pedestrians killed and 1 pedestrian injured in Cadiz crashes. There were no cyclists killed or injured. Motorists accounted for 0 fatalities and 22 injuries.
0
Pedestrians Killed
0
Motorists Killed
1
Pedestrians Injured
22
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 Cadiz during 2021 peaked on Fridays, with 11 incidents recorded. The most frequent hour for crashes was 3 PM, with 5 occurrences. A significant portion of crashes, 33 out of 53, occurred during daylight hours.
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
Out of 53 crashes, 39 (73.6%) resulted in no injuries. Injury crashes totaled 14, with 4 (7.5%) classified as serious injuries, 8 (15.1%) as minor injuries, and 2 (3.8%) as possible injuries. There were no fatal crashes, and consequently, no fatalities reported in 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
The majority of crashes occurred under favorable conditions, with 34 (64.2%) happening in clear weather, 43 (81.1%) on dry road surfaces, and 33 (62.3%) during daylight. Adverse conditions such as rain or snow were present in 6 crashes, and wet, snowy, slushy, or standing water road surfaces were noted in 10 crashes. Dark conditions, either lighted or unlighted, accounted for 20 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 123 persons involved in crashes, the 0-15 age group was most represented with 30 individuals, followed by the 16-20 age group with 18 individuals. Passenger Cars were the most frequent vehicle type involved, with 29 vehicles, while Chevrolet was the most common vehicle make, accounting for 23 vehicles.
Top Vehicle Makes (84 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 (120 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)
Regarding the location of the first harmful event, 35 crashes occurred on the roadway. A total of 16 crashes, or 30.2% of the total, occurred off the travel lanes, specifically on the roadside (12 crashes) or on the shoulder (4 crashes).
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, 71 were at locations with no traffic control. A total of 79 vehicles (95.2% of those with reported control type) were involved in crashes at uncontrolled locations (no control, stop sign, or yield sign). Only 4 vehicles (4.8%) were involved in crashes at signalized intersections.
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 factors attributed to drivers included 'Drove off Road' (10 instances), 'Failure to Yield' (8 instances), and 'Other Improper Action' (8 instances). 'Following too Close / ACDA' was noted in 4 instances, and 'Unsafe Speed' in 3 instances.
Driver Contributing Factor
Showing top 9 of 13 reported. 4 additional (4 total) not shown: Ran Stop Sign, Improper Start From a Parked Position, Improper Turn, Left of Center.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Animal-Involved Crashes
There were 10 instances of animal strikes reported in 2021, with 9 involving deer and 1 involving another animal. These animal strikes accounted for 18.9% of all crashes.
Driver Condition
Among drivers with reported conditions, 6 had abnormal conditions at the time of the crash. This included 3 drivers who 'Fell Asleep; Fainted; Fatigued; etc.', 2 drivers 'Under the Influence of Medications / Drugs / Alcohol', and 1 driver with 'Physical Impairment'. These abnormal conditions represent 8.6% of the 70 drivers with reported 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
Seven drivers were identified as distracted at the time of their crashes, representing 10% of the 70 drivers with reported distraction status. Distractions included 'Other distraction inside the vehicle' (4 instances), 'Other distraction outside the vehicle' (2 instances), and 'Other activity with an electronic device' (1 instance).
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
A total of 12 crashes (22.6%) occurred on curves, including 6 on 'Curve Grade' and 6 on 'Curve Level' alignments. Crashes on grades, encompassing both 'Straight Grade' and 'Curve Grade', accounted for 20 incidents (37.7%).
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 by drivers were 'Straight Ahead' (39 instances), 'Parked' (10 instances), and 'Negotiating a Curve' (8 instances). 'Making Left Turn' was also a notable action, occurring in 7 instances.
Pre-Crash Driver Action
Showing top 9 of 12 reported. 3 additional (3 total) not shown: Leaving Traffic Lane, Changing Lanes, Walking; Running; Jogging; Playing.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Manner of Collision
The dominant manner of collision was 'Not Collision Between Two Vehicles in Transport', accounting for 23 crashes (43.4%). 'Rear-end' and 'Angle' collisions were the next most frequent types, each occurring 8 times (15.1%).
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 the most common vehicle type involved in crashes, with 29 vehicles. Sport Utility Vehicles followed with 24 vehicles, and Pick up trucks with 16 vehicles. Commercial vehicles, including Single Unit Trucks, Semi-Tractors, and Cargo Vans, collectively accounted for 5 vehicles, representing 8.3% of all vehicles with specified types.
Vehicle Type
"Other" combines 6 smaller categories (6 records): Pedestrian/Skater (1), Motorcycle 2 Wheeled (1), Semi-Tractor (1), Heavy Equipment (1), Motorcycle 3 Wheeled (1), Cargo Van (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 73 individuals. Occupants accounted for 49 persons, while pedestrians represented 1 person. Drivers made up 59.3% of all persons 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 120 persons with reported injury severity, 97 (80.8%) sustained no injuries. A total of 23 persons (19.2%) sustained injuries, with 9 classified as serious, 12 as minor, and 2 as possible injuries. No fatalities were recorded among persons.
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
Of the 107 persons with known safety equipment use, 77 (72%) were using shoulder and lap belts. However, 27 persons (25.2%) were not using any safety equipment. Additionally, 2 persons used helmets and 1 person used a booster seat.
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 25 incidents, representing 47.2% of all crashes. The remaining 28 crashes involved multiple vehicles, with 26 involving two vehicles, 1 involving three vehicles, and 1 involving four 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: Cadiz, OH
- Total crash records analyzed: 53
- Total persons involved: 123
- Total vehicles involved: 84
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). "Cadiz, 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/cadiz/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