ThatCarHitMe.com
An Injuria.ai Company
CRASH INTELLIGENCE REPORT · GEORGETOWN, 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/georgetown/2021-annual-report
Yearly Traffic Safety Analysis
28 CRASHES IN
GEORGETOWN, OH
2021
In Georgetown, Ohio, during 2021, there were a total of 28 crashes, resulting in 0 fatalities and 9 injuries. A significant majority of these crashes, 78.6%, were classified as 'No Injury' incidents. No fatal crashes were recorded in the city for this period.
28
Total Crash Events
0
Persons Killed
9
Persons Injured
10.7%
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
3
Hit-and-Run Crashes — 2021
Georgetown experienced 3 hit-and-run crashes in 2021, accounting for 10.7% of all reported incidents. This hit-and-run status is based on the initial determination made by the responding officer at the scene of the crash.
Vulnerable Road User Casualties
In Georgetown during 2021, there were 0 fatalities recorded for pedestrians, cyclists, or motorists. All 9 reported injuries were sustained by motorists. There were no injuries reported for pedestrians or cyclists in this period.
0
Motorists Killed
9
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 Georgetown during 2021 showed a peak on Wednesdays, with 8 incidents reported on this day. The most frequent hour for crashes was 2 PM, accounting for 5 incidents. While 19 crashes occurred during daylight hours, 9 crashes happened during dark or dawn/dusk 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
The majority of crashes in Georgetown during 2021, 78.6% (22 crashes), resulted in no injuries, indicating property-damage-only incidents. Injury-involved crashes accounted for 21.5% of the total, with 5 minor injury crashes and 1 possible injury crash. There were no fatal crashes recorded in this period, meaning no crash events resulted in a 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
Most crashes in Georgetown during 2021 occurred under clear weather, dry road surface, and daylight conditions, each accounting for 19 incidents. Adverse conditions were also present in some crashes; 4 incidents occurred during rain, 8 on wet road surfaces, and 6 during dark conditions (lighted or unlighted roadways).
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 45-54, 55-64, and 65+ were each represented by 10 individuals in crashes, closely followed by the 21-25 age group with 9 individuals. Among vehicle makes, Ford was most frequently involved in crashes with 12 instances, followed by Chevrolet with 8, and Nissan with 6.
Top Vehicle Makes (51 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
1 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (59 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, 23 out of 28, occurred on the roadway itself. However, 5 crashes (17.8%) happened off the main travel lanes, with 2 on the roadside, 2 on the shoulder, and 1 outside the trafficway, signaling instances of vehicles leaving the traveled portion of the road.
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 most common traffic control condition for vehicles involved in crashes was 'No Control,' accounting for 37 out of 51 vehicles. Locations with no control or stop signs collectively involved 47 vehicles. Only 4 vehicles were involved in crashes at signalized locations.
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 the reported contributing factors for drivers, 'Following too Close / ACDA' was the most frequent, noted in 6 instances. 'Improper Passing' and 'Failure to Yield' each contributed to 4 instances of crashes. Additionally, 'Ran Stop Sign' was cited in 3 instances.
Driver Contributing Factor
Showing top 9 of 11 reported. 2 additional (2 total) not shown: Not Discernible, Other Improper Action.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Road Alignment
Most crashes, 24 out of 28, occurred on straight, level road alignments. Crashes on grades, including straight grade and curve grade, accounted for 4 incidents. Only 1 crash occurred on a curve with a grade.
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 dominant pre-crash action reported for vehicles was 'Straight Ahead,' accounting for 32 instances. 'Slowing or Stopped In Traffic' was the next most common action, noted in 5 instances. 'Backing' and 'Parked' each occurred 3 times prior to a crash.
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
Two collision types were equally dominant in Georgetown during 2021: 'Not Collision Between Two Vehicles in Transport' and 'Rear-end,' each accounting for 6 crashes or 21.4% of the total. 'Sideswipe; same direction' was the third most frequent, with 5 crashes.
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 common vehicle type involved in crashes, accounting for 27 out of 51 vehicles. Sport utility vehicles (SUVs) were involved in 12 incidents, and pickup trucks in 7 incidents. One crash involved farm equipment.
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 individuals involved in crashes, with 48 out of 60 total persons. Occupants made up the remaining 12 persons. There were no reported pedestrians or cyclists among the person types.
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 60 persons involved in crashes, 51 sustained no injuries. A total of 9 persons received injuries, with 6 experiencing minor injuries and 3 possible injuries. There were no fatal injuries reported among the persons involved.
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
The vast majority of individuals, 55 out of 60, used shoulder and lap belts as safety equipment. Child restraint systems were used by 4 persons, with 3 using forward-facing and 1 using a rear-facing system. Only 1 person was reported as using no safety equipment.
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 most common crash type involved two vehicles, accounting for 21 out of 28 incidents. Single-vehicle crashes made up 6 of the total incidents. Only 1 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: July 5, 2026
Data Coverage
- Reporting period: 2021-01-01 through 2021-12-31 (365 days)
- Geographic scope: Georgetown, OH
- Total crash records analyzed: 28
- Total persons involved: 60
- Total vehicles involved: 51
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). "Georgetown, 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/georgetown/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