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An Injuria.ai Company
CRASH INTELLIGENCE REPORT · BLANCHESTER, 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.
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GET: https://thatcarhitme.com/api/crash-data/reports/data/ohio/blanchester/2021-annual-report
Yearly Traffic Safety Analysis
47 CRASHES IN
BLANCHESTER, OH
2021
In Blanchester, Ohio, during 2021, a total of 47 crashes were reported, resulting in 1 fatality and 14 injuries. The data indicates that 80.9% of all crashes, or 38 incidents, resulted in no reported injuries. This period saw a notable peak in crashes on Saturdays and during the 5 PM hour.
47
Total Crash Events
1
Persons Killed
14
Persons Injured
8.5%
Hit-and-Run Rate
Note: "Persons Killed" (1) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) 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 reported in Blanchester during 2021, accounting for 8.5% of all incidents. This classification is based on the initial determination made by the responding officer at the scene. This rate indicates a measurable portion of crashes where one party left the scene.
Vulnerable Road User Casualties
In 2021, there were no pedestrians or cyclists killed or injured in crashes. All 1 fatality and all 14 injuries recorded were among motorists. This indicates that motorists were the sole group experiencing fatalities and injuries in Blanchester's crashes during this period.
1
Motorists Killed
14
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
Crash data for 2021 shows that Saturday was the peak day for crashes, with 10 incidents reported. The peak hour for crashes was 5 PM, recording 6 incidents. A majority of crashes, 24 out of 47, occurred during daylight hours, while 18 incidents took place 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 47 crashes recorded, 38 incidents, or 80.9%, resulted in no injuries. There was 1 fatal crash, which involved 1 fatality. Additionally, 9 crashes resulted in injuries, including 1 serious injury, 6 minor injuries, and 1 possible injury.
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
A significant portion of crashes occurred under clear weather conditions (23 incidents, 48.9%) and on dry road surfaces (37 incidents, 78.7%). Daylight was the prevailing lighting condition for 24 crashes, representing 51.1% of the total. Conversely, 8 crashes occurred during rain (17.0%) and 9 on wet roads (19.1%), with 18 crashes happening in dark conditions (38.3%).
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 group 65 and older was most represented among persons involved in crashes, with 20 individuals. Following this, the 35-44 age group accounted for 17 individuals, and the 16-20 age group for 15 individuals. Ford and Chevrolet vehicles were the most frequently involved makes, each appearing in 17 incidents.
Top Vehicle Makes (92 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
5 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (110 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 47, occurred on the roadway. Six crashes, representing 12.8% of the total, occurred off the travel lanes, specifically on the roadside (5 incidents) or on the shoulder (1 incident). This indicates a measurable proportion of run-off-road incidents.
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, 'No Control' was the dominant traffic control condition, affecting 48 vehicles. Approximately 19.8% of vehicles involved in crashes were at locations with a signal (18 vehicles). The remaining 80.2% of vehicles were at uncontrolled locations, including those with no control, stop signs, or flashers.
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 frequent contributing factor among drivers was 'Failure to Yield', accounting for 15 instances. 'Following too Close / ACDA' was the second most common factor with 8 instances. 'Drove off Road' was noted in 4 instances, highlighting key driver actions preceding crashes.
Driver Contributing Factor
Showing top 9 of 13 reported. 4 additional (5 total) not shown: Ran Stop Sign, Vision Obstruction, Other Improper Action, 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
Driver Condition
Two drivers were recorded as being 'Under the Influence of Medications / Drugs / Alcohol' at the time of their crash. This represents 2.6% of the 77 drivers for whom condition data was available. This highlights specific instances of impaired driving 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
Four drivers were reported as distracted at the time of their crash, representing 5.2% of all drivers. Three of these distractions were 'Other distraction inside the vehicle', and 1 was an 'Other distraction outside the vehicle'. This indicates specific sources of driver inattention.
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
The vast majority of crashes, 42 out of 47, occurred on 'Straight Level' road alignments. Four crashes, representing 8.5% of the total, occurred on 'Curve Level' alignments. This indicates that a smaller but notable portion of crashes happened on curved sections of the roadway.
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 for vehicles was 'Straight Ahead', accounting for 49 instances. 'Parked' was the second most common action with 14 instances. 'Slowing or Stopped In Traffic' and 'Making Left Turn' each accounted for 10 instances, highlighting common vehicle movements prior to crashes.
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 frequent manner of collision was 'Not Collision Between Two Vehicles in Transport', accounting for 12 crashes or 25.5% of the total. 'Angle' and 'Rear-end' collisions were also prevalent, each occurring 11 times and representing 23.4% of crashes. This indicates a diverse range of collision types.
Manner of Collision
"Other" combines 1 smaller categories (2 records): Head-on (2).
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 63 out of 92 vehicles, or 68.5%. Sport Utility Vehicles (12) and Pick up trucks (9) were the next most common types. Commercial vehicles, specifically Semi-Tractors, were involved in 1 incident.
Vehicle Type
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 77 individuals, representing 67.5% of all persons. Occupants (passengers) accounted for 37 individuals, or 32.5% of the total. No pedestrians or cyclists were recorded among the 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 114 persons involved in crashes, 1 individual sustained fatal injuries, representing 0.9% of the total. An additional 14 persons sustained non-fatal injuries, including 1 serious, 10 minor, and 3 possible injuries. The remaining 95 persons, or 83.3%, sustained no 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
A large majority of participants, 93 individuals, were recorded as using 'Shoulder and Lap Belt Used'. However, 5 individuals were noted as having 'None Used', representing 4.7% of those with known safety equipment status. Child restraint systems were used by 9 individuals across various types.
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, 32 out of 47, involved two vehicles. Single-vehicle crashes accounted for 9 incidents, representing 19.1% of the total. There was also 1 crash that involved four vehicles, indicating a multi-vehicle pile-up.
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: Blanchester, OH
- Total crash records analyzed: 47
- Total persons involved: 114
- Total vehicles involved: 92
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). "Blanchester, 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/blanchester/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