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CRASH INTELLIGENCE REPORT · BARNESVILLE, 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/barnesville/2021-annual-report
Yearly Traffic Safety Analysis
51 CRASHES IN
BARNESVILLE, OH
2021
In Barnesville, Ohio, during 2021, there were 51 reported crashes, resulting in 0 fatalities and 4 injuries. A notable finding is that 11 crashes, representing 21.6% of the total, were reported as hit-and-run incidents.
51
Total Crash Events
0
Persons Killed
4
Persons Injured
21.6%
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
11
Hit-and-Run Crashes — 2021
During 2021, 11 crashes in Barnesville were reported as hit-and-run incidents, accounting for 21.6% of all crashes. This hit-and-run status is based on the responding officer's initial determination at the scene.
Vulnerable Road User Casualties
In Barnesville during 2021, there were no reported fatalities for pedestrians, cyclists, or motorists. Four motorists sustained injuries in crashes. No pedestrians or cyclists were reported injured.
0
Motorists Killed
4
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 Barnesville in 2021 peaked on Wednesdays with 12 incidents. The peak hour for crashes was 6 PM, with 4 incidents recorded. The majority of crashes, 34 out of 51, 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 51 crashes in Barnesville in 2021, 47 (92.2%) resulted in no injuries, indicating property-damage-only incidents. There were 3 crashes (5.9%) with possible injuries and 1 crash (2%) with serious injuries. No fatal crashes were recorded during this period.
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 Barnesville in 2021 occurred under clear weather conditions (32 crashes, 62.7%), on dry road surfaces (39 crashes, 76.5%), and during daylight hours (34 crashes, 66.7%). Adverse conditions such as snow or rain were present in 5 crashes, and wet, icy, or snowy road surfaces were reported in 11 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
The most represented age group among persons involved in crashes was 35-44 years old, with 20 individuals. Passenger Cars were the most frequent vehicle type involved, accounting for 52 vehicles. Chevrolet was the most common vehicle make, involved in 21 incidents.
Top Vehicle Makes (93 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
8 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (105 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)
Of the 51 crashes, 16 (31.4%) occurred off the main travel lanes, specifically on the roadside (8 crashes), on the shoulder (4 crashes), or outside the trafficway (4 crashes). The remaining 33 crashes occurred on the roadway.
Crash Location (First Harmful Event)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Driver Contributing Factor
Among contributing factors identified, 'Failure to Yield' was the most frequent, accounting for 11 units. 'Improper Backing' and 'Other Improper Action' were each noted for 9 units. 'Following too Close / ACDA' was a factor for 5 units.
Driver Contributing Factor
Showing top 9 of 14 reported. 5 additional (5 total) not shown: Improper Turn, Left of Center, Load shifting/Falling/Spilling, Not Discernible, Ran Red Light.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Driver Condition
Three drivers were reported to be 'Under the Influence of Medications / Drugs / Alcohol' at the time of their crash. This represents 4.1% of the 73 drivers involved in crashes.
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
Three drivers were reported to be distracted at the time of their crash: 2 by 'Other distraction outside the vehicle' and 1 by 'Other distraction inside the vehicle'. These 3 drivers represent 6.7% of the 45 drivers whose distraction status was known and not 'Not Distracted'.
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 27.5% of crashes (14 incidents) occurred on a road grade, with 12 on a 'Straight Grade' and 2 on a 'Curve Grade'. Crashes on curves, specifically 'Curve Grade', accounted for 2 incidents or 3.9% of the total.
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 action was 'Straight Ahead', accounting for 42 vehicles (46.2% of known actions). 'Parked' vehicles were involved in 16 incidents (17.6%), and 'Backing' was the action for 12 vehicles (13.2%).
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 dominant manner of collision was 'Not Collision Between Two Vehicles in Transport', accounting for 14 crashes (27.5%). 'Angle' collisions were also significant, representing 10 crashes (19.6%). 'Sideswipe; same direction' and 'Backing' each occurred in 7 crashes (13.7% each).
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 dominant vehicle type involved in crashes, accounting for 52 of the 93 total vehicles (55.9%). Commercial vehicles, including Semi-Tractors, Single Unit Trucks, and Cargo Vans, collectively accounted for 6 vehicles (6.5%).
Vehicle Type
"Other" combines 2 smaller categories (2 records): Single Unit Truck (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 represented the dominant role among persons involved in crashes, with 73 individuals (65.2%). Occupants accounted for the remaining 39 individuals (34.8%).
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 112 persons involved in crashes, 4 individuals sustained injuries, comprising 3.6% of all persons. One person sustained a serious injury, and 3 persons sustained possible injuries.
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 known and not 'Other/Unknown', 9 individuals (69.2%) were reported to have used 'None Used'. This represents 8.0% of all 112 persons involved.
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, 40 out of 51 (78.4%), involved two vehicles. Single-vehicle crashes accounted for 10 incidents (19.6%). Only one crash 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: August 22, 2026
Data Coverage
- Reporting period: 2021-01-01 through 2021-12-31 (365 days)
- Geographic scope: Barnesville, OH
- Total crash records analyzed: 51
- Total persons involved: 112
- Total vehicles involved: 93
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). "Barnesville, OH Crash Intelligence Report: 2021." Published August 22, 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/barnesville/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: August 22, 2026 · All rights reserved
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