ThatCarHitMe.com
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CRASH INTELLIGENCE REPORT · GALLIPOLIS, 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/gallipolis/2021-annual-report
Yearly Traffic Safety Analysis
241 CRASHES IN
GALLIPOLIS, OH
2021
In 2021, Gallipolis experienced a total of 241 crashes, resulting in 1 fatality and 93 injuries. A notable finding is that 72.2% of these crashes, totaling 174 incidents, were reported with no injuries.
241
Total Crash Events
1
Persons Killed
93
Persons Injured
14.9%
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
36
Hit-and-Run Crashes — 2021
There were 36 hit-and-run crashes in Gallipolis during 2021, accounting for 14.9% of all crashes. This determination is based on the responding officer's initial assessment at the scene.
Vulnerable Road User Casualties
In Gallipolis during 2021, 1 motorist was killed and 91 motorists were injured in crashes. Additionally, 2 pedestrians were injured, while no pedestrians or cyclists were killed.
0
Pedestrians Killed
1
Motorists Killed
2
Pedestrians Injured
91
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 Gallipolis peaked on Fridays, with 51 incidents reported. The peak hour for crashes was 5 PM, recording 25 incidents. A majority of crashes, 160, occurred during daylight hours, while 65 incidents took place in dark conditions (34 on lighted roads, 31 on unlighted roads).
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 241 crashes, 72.2% (174 incidents) resulted in no injuries, categorized as property-damage-only. Injury crashes, encompassing serious, minor, and possible injuries, accounted for 27.4% of incidents. There was 1 fatal crash, which resulted in 1 fatality.
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 (150 incidents), on dry road surfaces (184 incidents), and during daylight hours (160 incidents). Adverse conditions such as rain contributed to 28 crashes, wet roads to 45 crashes, and dark conditions to 65 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 575 persons involved in crashes, the 35-44 age group was most represented with 81 individuals, closely followed by the 65+ age group with 77 individuals. Chevrolet vehicles were most frequently involved in crashes, totaling 86 instances, followed by Ford vehicles with 76 instances.
Top Vehicle Makes (425 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
26 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (560 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)
Approximately 19.9% of crashes, totaling 48 incidents, occurred off the travel lanes, specifically on the roadside (36), on the shoulder (5), or outside the trafficway (7). The majority of crashes, 185 incidents, occurred on the roadway.
Crash Location (First Harmful Event)
"Other" combines 1 smaller categories (1 records): Driveway/Alley access (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Traffic Control Device
Among locations where units were involved in crashes, 281 were at locations with no traffic control, making it the dominant condition. Signalized locations accounted for 121 involved units, representing 28.7% of the total units where traffic control was recorded.
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 recorded for drivers was 'Following too Close / ACDA' with 73 instances, accounting for 33.2% of recorded factors. 'Failure to Yield' was cited 33 times (15.0%), and 'Unsafe Speed' was noted 25 times (11.4%).
Driver Contributing Factor
Showing top 9 of 18 reported. 9 additional (19 total) not shown: Swerving to Avoid, Improper Passing, Operating Defective Equipment, Not Discernible, Improper Crossing, Ran Stop Sign, Improper Turn, Wrong Way, Load shifting/Falling/Spilling.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Commercial / Truck Involvement
Crashes involved 17 commercial vehicles, comprising 4.0% of all vehicles in crashes. This included 12 semi-tractor trailers and 5 other commercial vehicles.
Animal-Involved Crashes
There were 14 animal-strike crashes, accounting for 5.8% of all crashes. Of these, 13 incidents involved deer, and 1 involved another animal.
Impairment (Alcohol / Drugs)
A total of 15 crashes were attributed to driver impairment, representing 6.2% of all crashes. These incidents involved alcohol (7), drugs (5), or both alcohol and drugs (3).
Driver Condition
Abnormal driver conditions were noted in 23 instances, representing 5.9% of all drivers involved in crashes. These included 10 instances of drivers being under the influence of medications/drugs/alcohol and 7 instances of drivers falling asleep, fainting, or being 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
Driver distraction was identified in 31 instances, accounting for 7.97% of drivers. This included 14 instances of other distraction inside the vehicle, 7 instances of other distraction outside the vehicle, and 4 instances of manually operating an electronic communication 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
Approximately 13.75% of crashes occurred on curves (33 incidents), and 15.42% occurred on grades (37 incidents). The majority of crashes, 191 incidents, occurred on straight and level roadways.
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 for drivers was 'Straight Ahead', accounting for 212 instances or 50.5% of recorded actions. 'Slowing or Stopped In Traffic' was the second most frequent at 75 instances (17.9%), followed by 'Parked' at 33 instances (7.9%).
Pre-Crash Driver Action
Showing top 9 of 16 reported. 7 additional (12 total) not shown: Other/Unknown, Changing Lanes, Making U-Turn, Walking; Running; Jogging; Playing, Overtaking/Passing, Driverless, Standing.
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 87 incidents or 36.1% of all crashes. 'Rear-end' collisions were the most common specific collision type, with 76 incidents representing 31.5% of crashes.
Manner of Collision
"Other" combines 1 smaller categories (1 records): Sideswipe; opposite direction (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 dominant vehicle type involved in crashes, accounting for 176 vehicles. Commercial vehicles, including semi-tractors, cargo vans, and single unit trucks, comprised 21 vehicles or 4.9% of all vehicles involved.
Vehicle Type
"Other" combines 6 smaller categories (11 records): Motorcycle 2 Wheeled (3), Pedestrian/Skater (2), Other Vehicle (2), Single Unit Truck (2), Motorhome (1), Van (9-15 Seats) (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 389 individuals (67.6%). Occupants accounted for 184 individuals (32.0%), and pedestrians for 2 individuals (0.35%).
Person Type
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Person Injury Severity
Among all 575 persons involved in crashes, 1 individual sustained fatal injuries (0.17%). A total of 93 individuals sustained some form of injury (16.17%), with 6 serious, 47 minor, and 40 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 participants for whom safety equipment use was recorded, 468 individuals used shoulder and lap belts. There were 17 instances where no safety equipment was used, representing 2.97% of recorded safety equipment uses.
Occupant Safety Equipment
"Other" combines 2 smaller categories (4 records): Helmet Used (3), Lap Belt Only Used (1).
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, 172 incidents, involved two vehicles. Single-vehicle crashes accounted for 63 incidents (26.1%), while 6 crashes 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 5, 2026
Data Coverage
- Reporting period: 2021-01-01 through 2021-12-31 (365 days)
- Geographic scope: Gallipolis, OH
- Total crash records analyzed: 241
- Total persons involved: 575
- Total vehicles involved: 425
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). "Gallipolis, 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/gallipolis/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