ThatCarHitMe.com
An Injuria.ai Company
CRASH INTELLIGENCE REPORT · OHIO, 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/statewide/2021-annual-report
Yearly Traffic Safety Analysis
196 CRASHES IN
OHIO, OH
2021
In 2021, Noble County recorded 196 traffic crashes, resulting in 5 fatalities and 61 injuries. A significant majority of these incidents, 74.5%, did not involve a collision between two moving vehicles, indicating a high prevalence of single-vehicle crashes. These single-vehicle events, alongside angle collisions, constituted the primary crash patterns for the year.
196
Total Crash Events
5
Persons Killed
61
Persons Injured
7.7%
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
15
Hit-and-Run Crashes — 2021
During this period, 15 crashes were classified as hit-and-run incidents, representing 7.7% of all crashes in the county. This classification is based on the initial determination made by the responding law enforcement officer at the scene of the collision.
Vulnerable Road User Casualties
All 5 fatalities and 61 injuries recorded in Noble County in 2021 involved motorists. There were no pedestrians or cyclists killed or injured in traffic crashes during this period.
5
Motorists Killed
61
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 Noble County occurred most frequently on Mondays and Wednesdays, with each day recording 36 incidents. The peak time for crashes was the 2 p.m. hour, which saw 17 collisions. While 114 crashes (58.2%) happened during daylight, a notable 71 crashes (36.2%) occurred in darkness on unlit roadways.
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 196 total crashes, 146 (74.5%) resulted in no injuries, being classified as property-damage-only events. The remaining crashes involved injuries of varying severity, including 5 fatal crashes (2.6%), 6 serious injury crashes (3.1%), and 27 minor injury crashes (13.8%). The 5 fatal crashes resulted in a total of 5 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
The majority of crashes occurred in favorable conditions, with 116 incidents (59.2%) happening in clear weather and 148 (75.5%) on dry road surfaces. Crashes in adverse weather included 12 in rain and 10 in snow. Collisions on non-dry surfaces included 24 on wet roads and 12 on icy roads.
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 most frequently involved in crashes were 35-44 years old (53 individuals) and 26-34 years old (52 individuals). Among the 256 vehicles involved, the most common makes were Chevrolet (55 vehicles), Ford (38 vehicles), and Dodge (25 vehicles).
Top Vehicle Makes (256 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
14 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (315 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)
Analysis of the initial crash location shows that 127 incidents (64.8%) occurred on the roadway. A significant portion, 57 crashes or 29.1%, were run-off-road events, with the first harmful event taking place on the roadside (41 crashes), shoulder (15 crashes), or in the median (1 crash).
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
The vast majority of vehicles involved in crashes were at locations with no traffic controls, accounting for 222 of the 256 vehicles (86.7%). A smaller number of vehicles were involved in crashes at locations with a signal (21 vehicles) or a stop sign (11 vehicles).
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
Among drivers for whom a contributing factor was cited, unsafe speed was the most common, noted in 43 instances. This was followed by driving off the road (25 instances) and failure to yield (12 instances). Left of center movements and following too closely were also noted as contributing factors, with 10 and 7 instances respectively.
Driver Contributing Factor
Showing top 9 of 15 reported. 6 additional (19 total) not shown: Improper Passing, Improper Turn, Operating Defective Equipment, Load shifting/Falling/Spilling, Ran Red Light, 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
Commercial / Truck Involvement
Crashes involved 22 commercial vehicles, including 17 semi-tractor trailers and 5 other types of commercial vehicles. These vehicles were part of a diverse mix of traffic incidents throughout the county.
Animal-Involved Crashes
A total of 42 crashes involved collisions with animals, representing 21.4% of all crashes in the county. Deer were the most common animal involved, accounting for 38 of these incidents, while other unspecified animals were involved in the remaining 4 crashes.
Impairment (Alcohol / Drugs)
Impairment was a factor in 16 crashes, which is 8.2% of the total. Of these, 10 incidents involved alcohol, 3 involved drugs, and 3 involved a combination of both alcohol and drugs.
Driver Condition
Excluding drivers noted as 'Apparently Normal', specific adverse driver conditions were recorded for 22 individuals. Fourteen drivers were identified as being under the influence of medications, drugs, or alcohol, while 7 were reported to have fallen asleep, fainted, or been fatigued.
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
Among the 248 drivers involved in crashes, 9 were noted as being distracted by a specific factor. Six drivers were distracted by something inside their vehicle, 2 were manually operating an electronic communication device, and 1 was talking on a hands-free device.
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
Road geometry played a role in a significant number of crashes, with 74 incidents (37.8%) occurring on a grade and 58 incidents (29.6%) occurring on a curve. Crashes on sections that were both curved and graded accounted for 31 of these incidents.
Road Alignment
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Top Cities
The geographic distribution of crashes was concentrated in a few key areas. The township of Olive saw the most crashes with 44, followed by Noble with 37 and Buffalo with 32. Together, these three locations accounted for 113 crashes, or 57.7% of the county's total.
Top Cities
Showing top 9 of 16 reported. 7 additional (29 total) not shown: Beaver, Enoch, Jefferson, Belle Valley, Wayne, Elk, Stock.
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 action by vehicles prior to a crash was driving straight ahead, which was the case for 166 of the 256 vehicles involved (64.8%). The next most frequent pre-crash action was negotiating a curve, which accounted for 37 vehicles (14.5%).
Pre-Crash Driver Action
Showing top 9 of 13 reported. 4 additional (9 total) not shown: Entering Traffic Lane, Overtaking/Passing, Changing Lanes, Driverless.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Manner of Collision
The predominant crash type was single-vehicle incidents, classified as 'Not Collision Between Two Vehicles in Transport', which accounted for 146 of the 196 total crashes (74.5%). The most frequent type of multi-vehicle crash was angle collisions, with 16 incidents (8.2%).
Manner of Collision
"Other" combines 1 smaller categories (1 records): Rear-to-rear (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 98 units, followed by 59 pick-up trucks and 50 sport utility vehicles. These three categories combined represent 80.9% of the 256 vehicles involved in collisions.
Vehicle Type
"Other" combines 4 smaller categories (10 records): Unknown or Hit/Skip (6), Cargo Van (2), Other Vehicle (1), All Terrain Vehicle (ATV/UTV) (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Person Type
A total of 333 people were involved in crashes, of whom 248 (74.5%) were drivers. The remaining 85 individuals (25.5%) were vehicle occupants or passengers. No other person types, such as pedestrians or cyclists, were recorded in any crash.
Person Type
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Person Injury Severity
Of the 333 people involved in crashes, 66 sustained some level of injury or were killed. This includes 5 fatalities, 7 serious injuries, 36 minor injuries, and 18 possible injuries. The majority of individuals, 266 people (79.9%), were not injured.
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 333 people involved in crashes, 25 individuals (7.5%) were recorded as not using any safety equipment. The most commonly used restraint was a shoulder and lap belt, utilized by 252 people.
Occupant Safety Equipment
"Other" combines 2 smaller categories (5 records): Child Restraint System - Rear Facing (3), Lap Belt Only Used (2).
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 were the most common type of incident, with 139 crashes (70.9%) involving only one vehicle. Two-vehicle collisions accounted for 54 crashes (27.6%), and there were 3 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: ohio, OH
- Total crash records analyzed: 196
- Total persons involved: 333
- Total vehicles involved: 256
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). "ohio, 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/statewide/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