ThatCarHitMe.com
An Injuria.ai Company
CRASH INTELLIGENCE REPORT · GREENFIELD, 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/greenfield/2021-annual-report
Yearly Traffic Safety Analysis
258 CRASHES IN
GREENFIELD, OH
2021
In Greenfield, OH, during 2021, there were 258 total crashes, resulting in 3 fatalities and 105 injuries. A significant portion of these incidents, 45.3%, were categorized as 'Not Collision Between Two Vehicles in Transport'. The majority of crashes, 70.2%, did not result in any reported injuries.
258
Total Crash Events
3
Persons Killed
105
Persons Injured
6.2%
Hit-and-Run Rate
Note: "Persons Killed" (3) counts individual fatalities across all crash events. "Fatal" in the severity table below (2) 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
16
Hit-and-Run Crashes — 2021
There were 16 hit-and-run crashes, accounting for 6.2% of all crashes in Greenfield in 2021. The determination of a hit-and-run incident is based on the responding officer's initial assessment at the scene.
Vulnerable Road User Casualties
In 2021, all 3 fatalities and 105 injuries involved motorists. There were no reported fatalities or injuries among pedestrians or cyclists in Greenfield.
3
Motorists Killed
105
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 Greenfield during 2021 most frequently occurred on Mondays, with 45 incidents reported. The peak hour for crashes was 4 p.m., recording 22 incidents. A majority of crashes, 161, occurred during daylight 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 258 crashes in 2021, 70.2% (181 crashes) resulted in no injuries. Injury-causing crashes, including serious, minor, and possible injuries, accounted for 29.1% (75 crashes). There were 2 fatal crashes, which tragically resulted in 3 total fatalities.
Severity is per crash event (most severe injury). 2 fatal crash events resulted in 3 persons killed.
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 predominant conditions for crashes in 2021 were clear weather, accounting for 154 incidents, and dry road surfaces, with 193 crashes. Daylight was the most common lighting condition, present in 161 crashes. Adverse conditions such as rain contributed to 29 crashes, wet road surfaces to 54 crashes, and dark conditions (including unlighted and lighted roadways) to 77 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
Passenger cars were the most frequently involved vehicle type, accounting for 206 out of 419 vehicles. Sport Utility Vehicles and Pick ups followed with 98 and 69 vehicles, respectively. Chevrolet (78), Ford (75), and Honda (45) were the most common vehicle makes involved in crashes. Among all persons involved, the age groups 16-20, 26-34, 35-44, 55-64, and 65+ each represented between 65 and 75 individuals.
Top Vehicle Makes (419 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
15 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (502 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, 198, occurred directly on the roadway. However, 59 crashes, representing 22.9% of all incidents, occurred off the main travel lanes, including 33 on the roadside, 14 outside the trafficway, 9 on the shoulder, and 3 in the median.
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
The most frequent contributing factors reported per driver were 'Failure to Yield' (53 instances), 'Following too Close / ACDA' (39 instances), and 'Drove off Road' (39 instances). Other significant factors included 'Unsafe Speed' (13 instances) and 'Improper Backing' (10 instances).
Driver Contributing Factor
Showing top 9 of 15 reported. 6 additional (21 total) not shown: Swerving to Avoid, Improper Lane Change, Operating Defective Equipment, Improper Passing, Improper Turn, 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
Impairment (Alcohol / Drugs)
There were 16 impaired-driving crashes, representing 6.2% of all crashes. Among these, 8 instances involved drugs, 6 involved alcohol, and 2 involved both alcohol and drugs.
Driver Condition
Among the 393 drivers, 17 were reported to have abnormal conditions at the time of the crash, representing 4.3% of all drivers. This included 11 drivers 'Under the Influence of Medications / Drugs / Alcohol', 5 drivers who 'Fell Asleep; Fainted; Fatigued; etc.', and 1 driver who was 'Emotional'.
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
Out of 393 drivers, 15 instances of distraction were reported, accounting for 3.8% of drivers. These included 6 instances of 'Other distraction outside the vehicle', 5 instances of 'Other distraction inside the vehicle', 3 instances of 'Other activity with an electronic device', and 1 instance 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
A total of 31 crashes, or 12.0% of all incidents, occurred on curves (16 on curve level, 15 on curve grade). Additionally, 64 crashes, or 24.8% of all incidents, occurred on grades (49 on straight grade, 15 on curve grade). The majority, 178 crashes, occurred on straight 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 reported for drivers was 'Straight Ahead', accounting for 265 instances. 'Slowing or Stopped In Traffic' was the second most frequent action with 43 instances, followed by 'Parked' with 26 instances. These three actions represent 63.7%, 10.3%, and 6.2% of observed pre-crash actions, respectively.
Pre-Crash Driver Action
Showing top 9 of 12 reported. 3 additional (7 total) not shown: Other/Unknown, Overtaking/Passing, Leaving Traffic Lane.
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 117 crashes or 45.3% of the total. 'Angle' collisions were the second most frequent with 63 crashes (24.4%), followed by 'Rear-end' collisions with 48 crashes (18.6%).
Manner of Collision
"Other" combines 2 smaller categories (3 records): Head-on (2), Rear-to-rear (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 most common vehicle type involved, making up 49.2% of all 419 vehicles. Sport Utility Vehicles (23.4%) and Pick ups (16.5%) were also frequently involved. Commercial vehicles, including Semi-Tractors, Cargo Vans, and Single Unit Trucks, accounted for 14 vehicles, or 3.3% of the total.
Vehicle Type
"Other" combines 5 smaller categories (13 records): Other Vehicle (4), Single Unit Truck (4), Unknown or Hit/Skip (3), Golf Cart (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 majority of persons involved in crashes, with 393 individuals, representing 75.7% of all 519 persons. Occupants accounted for the remaining 126 individuals, or 24.3% of 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 519 persons involved in crashes, 3 individuals sustained fatal injuries (0.6%). A total of 105 persons sustained injuries of varying severity (20.2%), with 12 serious, 66 minor, and 27 possible injuries. The vast majority, 405 persons (78.0%), 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
For persons with reported safety equipment use, 382 individuals used 'Shoulder and Lap Belt'. A notable 32 individuals, or 7.1% of those with reported equipment use, were recorded as having 'None Used'. Additionally, 12 individuals used 'Child Restraint System - Forward Facing' and 6 used 'Booster Seat'.
Occupant Safety Equipment
"Other" combines 2 smaller categories (5 records): Child Restraint System - Rear Facing (4), 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, 140, involved two vehicles. Single-vehicle crashes accounted for 108 incidents, representing 41.9% of all crashes. A small number of crashes involved three vehicles (9 incidents) or four vehicles (1 incident).
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: Greenfield, OH
- Total crash records analyzed: 258
- Total persons involved: 519
- Total vehicles involved: 419
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). "Greenfield, 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/greenfield/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