ThatCarHitMe.com
An Injuria.ai Company
CRASH INTELLIGENCE REPORT · GREENWICH, 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/greenwich/2021-annual-report
Yearly Traffic Safety Analysis
42 CRASHES IN
GREENWICH, OH
2021
In 2021, Greenwich, Ohio experienced a total of 42 crashes, resulting in 0 fatalities and 18 injuries. A notable finding is the absence of any fatalities during this period, despite 18 individuals sustaining injuries. The majority of crashes, 64.3%, resulted in no injuries.
42
Total Crash Events
0
Persons Killed
18
Persons Injured
4.8%
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
2
Hit-and-Run Crashes — 2021
There were 2 hit-and-run crashes reported in Greenwich during 2021, accounting for 4.8% of all crashes. The determination of a hit-and-run incident is based on the initial assessment by the responding officer.
Vulnerable Road User Casualties
In 2021, no fatalities were reported among pedestrians, cyclists, or motorists. A total of 16 motorists were injured, making them the highest-impact group for injuries. Additionally, 2 pedestrians sustained injuries, while no cyclists were injured.
0
Pedestrians Killed
0
Motorists Killed
2
Pedestrians Injured
16
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 Greenwich most frequently occurred on Mondays and Saturdays, each with 11 incidents. The peak hour for crashes was 5 PM, with 7 occurrences. Slightly more crashes, 22, happened during dark or dawn/dusk lighting conditions compared to 20 crashes during daylight.
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 42 crashes, 27 (64.3%) resulted in no injuries, while 15 crashes (35.6%) involved some level of injury. There were 3 serious injury crashes (7.1%), 9 minor injury crashes (21.4%), and 3 possible injury crashes (7.1%). No fatal crashes were recorded, and it's important to note that fatalities refer to persons killed, where a single crash can involve multiple 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 under clear weather conditions (29 crashes) and on dry road surfaces (37 crashes). Daylight was the lighting condition for 20 crashes. Adverse conditions such as snow or rain were present in 3 crashes, while wet, snowy, or icy road surfaces were reported in 5 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 persons involved in crashes, the 26-34 age group was most represented with 15 individuals, followed by the 35-44 age group with 12 individuals. Chevrolet vehicles were involved most frequently (13), followed by Ford (11), Nissan (5), and Kia (5).
Top Vehicle Makes (57 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 (76 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 42 crashes, 30 occurred on the roadway. A significant portion, 12 crashes (28.6%), occurred off the main travel lanes, specifically on the roadside (10 crashes) or on the shoulder (2 crashes).
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 the 57 vehicles involved in crashes where traffic control was noted, the dominant control type was 'No Control,' accounting for 46 vehicles. Approximately 15.8% of vehicles involved in crashes were at locations with a signal, while 84.2% were at uncontrolled locations (no control or stop sign).
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 frequently cited improper actions contributing to crashes were 'Following too Close / ACDA' and 'Drove off Road,' each accounting for 9 instances among drivers. 'Failure to Yield' was another significant factor, noted in 6 instances.
Driver Contributing Factor
Showing top 9 of 11 reported. 2 additional (2 total) not shown: Other Improper Action, Improper Passing.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Driver Condition
Among the 55 drivers involved in crashes, 4 drivers (7.3%) were reported to be 'Under the Influence of Medications / Drugs / Alcohol'. The remaining drivers were reported as 'Apparently Normal'.
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 drivers, 8 instances of distraction were reported, representing 14.5% of all drivers. These included 3 instances of 'Other distraction inside the vehicle,' 3 of 'Other distraction outside the vehicle,' 1 of 'Manually operating an electronic communication device,' and 1 of 'Other activity with an electronic 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
Of the 42 crashes, 5 (11.9%) occurred on curves (Curve Level or Curve Grade). Additionally, 9 crashes (21.4%) occurred on roadways with a grade (Straight Grade or Curve 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 most common pre-crash action among vehicles was 'Straight Ahead,' accounting for 38 instances. 'Slowing or Stopped In Traffic' was the second most frequent action with 7 instances, followed by 'Making Left Turn' with 4 instances.
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 dominant manner of collision was 'Not Collision Between Two Vehicles in Transport,' which accounted for 30 crashes (71.4%). Rear-end collisions were the next most frequent, occurring in 7 crashes (16.7%).
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 16 of the 57 vehicles. Commercial vehicles, including Semi-Tractors, Single Unit Trucks, and Cargo Vans, comprised 6 vehicles (10.5%) of those involved.
Vehicle Type
"Other" combines 2 smaller categories (2 records): Single Unit Truck (1), Cargo Van (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, accounting for 55 of 76 individuals (72.4%). Occupants made up 19 persons (25%), while 2 pedestrians were also 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 76 persons involved in crashes, 18 (23.7%) sustained injuries of varying severities. Specifically, 4 persons suffered serious injuries, 11 sustained minor injuries, and 3 had possible injuries. No fatalities were recorded among persons.
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
Safety equipment use was recorded for 76 persons, with 57 individuals (75%) using 'Shoulder and Lap Belt Used'. A notable 10 persons (13.2%) were reported to have used 'None Used' safety equipment.
Occupant Safety Equipment
"Other" combines 1 smaller categories (1 records): Child Restraint System - Forward Facing (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
Single-vehicle crashes were the most common, accounting for 28 (66.7%) of the 42 total crashes. Two-vehicle crashes made up 13 incidents, while 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: Greenwich, OH
- Total crash records analyzed: 42
- Total persons involved: 76
- Total vehicles involved: 57
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). "Greenwich, 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/greenwich/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