ThatCarHitMe.com
An Injuria.ai Company
CRASH INTELLIGENCE REPORT · GREEN SPRINGS, 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/green-springs/2021-annual-report
Yearly Traffic Safety Analysis
10 CRASHES IN
GREEN SPRINGS, OH
2021
In 2021, Green Springs, OH experienced a total of 10 traffic crashes, resulting in 0 fatalities and 3 injuries. A notable finding is that 20% of all crashes, or 2 incidents, were identified as hit-and-run events. The majority of crashes, 80%, resulted in no injuries.
10
Total Crash Events
0
Persons Killed
3
Persons Injured
20.0%
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
Two out of 10 crashes in Green Springs during 2021 were reported as hit-and-run incidents, representing 20% of all crashes. It is important to note that hit-and-run status is based on the responding officer's initial determination. This rate indicates a significant proportion of crashes where a party left the scene.
Vulnerable Road User Casualties
In 2021, there were 0 pedestrians killed and 0 pedestrians injured in Green Springs. Similarly, 0 cyclists were killed and 0 cyclists were injured. All 3 injuries reported were sustained by motorists, with no motorists killed during the period.
0
Motorists Killed
3
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 Green Springs occurred most frequently on Tuesdays, with 4 incidents recorded. The peak hour for crashes was 5 PM, accounting for 2 incidents. The majority of crashes, 70%, took place during daylight hours, while 30% occurred 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
Of the 10 crashes in 2021, 80% resulted in no injuries, while 20% involved possible injuries. There were 0 fatal crashes recorded during this period. The total number of persons injured across all crashes was 3, and no fatalities were reported.
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 in 2021 occurred under clear weather conditions (70%), on dry road surfaces (90%), and during daylight hours (70%). Adverse conditions such as cloudy weather (20%), rain (10%), or wet road surfaces (10%) were present in a smaller proportion of incidents. One crash occurred in dark, unlighted conditions, and one at dawn/dusk.
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
Top Vehicle Makes (17 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
3 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (19 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, 80%, occurred on the roadway itself. However, 20% of crashes occurred off the main travel lanes, with 10% on the roadside and 10% on the shoulder. This indicates that a portion of incidents involved vehicles leaving the immediate roadway.
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 persons involved in crashes, the most common traffic control condition was 'No Control', affecting 6 out of 16 persons. Approximately 31.25% of persons involved in crashes were at locations with a signal, while 68.75% were at uncontrolled locations (no control or stop sign). This suggests a higher proportion of incidents occurring at intersections or segments without active signal control.
Traffic Control Device
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Road Alignment
Most crashes, involving 70% of persons, occurred on straight and level road alignments. However, 30% of persons involved in crashes were on road sections with a grade, including 20% on straight grades and 10% on curved grades. This indicates that roadway grades, particularly in curves, contribute to a minority of incidents.
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 reported for drivers was 'Straight Ahead', accounting for 9 incidents. 'Slowing or Stopped In Traffic' was the second most common action, observed in 4 incidents. 'Making Left Turn' was also a notable pre-crash action, occurring in 3 incidents.
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 in Green Springs was 'Not Collision Between Two Vehicles in Transport', accounting for 50% of all crashes. Rear-end and sideswipe (opposite direction) collisions each represented 20% of incidents. Angle collisions made up the remaining 10% of 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 frequently involved vehicle type, accounting for 6 out of 17 vehicles. Pickups and Sport Utility Vehicles were also significantly represented, each with 4 vehicles involved. Commercial vehicles, including a bus, a cargo van, and a semi-tractor, collectively represented 17.6% of all vehicles involved.
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 majority of persons involved in crashes, accounting for 16 out of 21 individuals. Occupants made up the remaining 5 persons involved. There were no pedestrians or cyclists recorded among the persons involved in crashes.
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 19 persons with known injury severity, 16 sustained no injuries. Three persons, representing 15.8% of those with known severity, sustained possible injuries. No fatalities were reported among the persons involved in crashes.
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 known safety equipment use, 14 out of 19 individuals (73.7%) were using a shoulder and lap belt. A notable 15.8% of persons (3 individuals) were reported as using no safety equipment. Two persons were secured in child restraint systems.
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, 7 out of 10, involved two vehicles. Single-vehicle crashes accounted for 30% of all incidents. There were no crashes involving more than two vehicles reported during this period.
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: Green Springs, OH
- Total crash records analyzed: 10
- Total persons involved: 21
- Total vehicles involved: 17
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). "Green Springs, 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/green-springs/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