ThatCarHitMe.com
An Injuria.ai Company
CRASH INTELLIGENCE REPORT · GEORGIA, VT · 2010
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/vermont/georgia/2010-annual-report
Yearly Traffic Safety Analysis
68 CRASHES IN
GEORGIA, VT
2010
In 2010, Georgia, VT experienced a total of 68 crashes, resulting in 2 fatalities and 29 injuries. A significant finding is that 50% of all crashes were single-vehicle incidents. The data indicates that over half of the crashes, 37 out of 68, did not result in any reported injuries.
68
Total Crash Events
2
Fatal Crashes
29
Injury Crashes
2
Fatal Crash Events
Note: "Fatal Crashes" and "Injury Crashes" count crash events — this source publishes crash-level counts only, not individual persons.
Source: Vermont Crash Data · Arcgis Open Data · 2010-01-01 to 2010-12-31 · Aggregate counts from crash, person, and vehicle records
When Crashes Happen
Crash occurrences in Georgia, VT peaked on Saturdays, Mondays, and Fridays, with 12 crashes recorded on each of these days. The most frequent hour for crashes was 1 PM, accounting for 7 incidents. A majority of crashes occurred during daylight hours, with 48 incidents, compared to 20 incidents occurring in the dark.
Source: Vermont Crash Data · Arcgis Open Data · 2010-01-01 to 2010-12-31 · Crash date field aggregated by weekday
Source: Vermont Crash Data · Arcgis Open Data · 2010-01-01 to 2010-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The severity analysis shows that 37 crashes (54.4%) resulted in no injuries, while 29 crashes (42.6%) involved injuries. There were 2 fatal crashes, accounting for 2.9% of all incidents. It is important to note that while there were 2 fatal crashes, the total number of persons killed was also 2, meaning each fatal crash involved one fatality.
Outcome by Severity (Crash Events)
Source: Vermont Crash Data · Arcgis Open Data · 2010-01-01 to 2010-12-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)
Severity Distribution (Crash Events)
Source: Vermont Crash Data · Arcgis Open Data · 2010-01-01 to 2010-12-31 · Most severe injury per crash record
Road & Environmental Conditions
Clear weather conditions were present in 33 crashes, with dry road surfaces also reported in 33 incidents. Daylight was the prevailing lighting condition for 48 crashes. Conversely, adverse conditions such as freezing precipitation (13 crashes), rain (9 crashes), wet roads (15 crashes), and ice (8 crashes) also contributed to a notable number of incidents.
Weather
Source: Vermont Crash Data · Arcgis Open Data · 2010-01-01 to 2010-12-31 · Weather condition at time of crash
Lighting
Source: Vermont Crash Data · Arcgis Open Data · 2010-01-01 to 2010-12-31 · Lighting condition field
Road Surface
Source: Vermont Crash Data · Arcgis Open Data · 2010-01-01 to 2010-12-31 · Road surface condition field
Deadliest Highway Corridors
The primary corridors for crashes in Georgia, VT were I-89 with 29 crashes, US-7 with 21 crashes, and VT-104A with 5 crashes. These three routes collectively accounted for 55 crashes, representing approximately 80.9% of all reported incidents in the dataset. This highlights the concentration of crashes on these major state highways.
Deadliest Highway Corridors
Source: Vermont Crash Data · Arcgis Open Data · 2010-01-01 to 2010-12-31 · Crash-level records
Road Class
The majority of crashes, 55 out of 68, occurred on state highways in Georgia, VT. Town or Local Roads accounted for 12 crashes. One crash was reported on an 'Other Public Roadway / Parking' area.
Road Class
Source: Vermont Crash Data · Arcgis Open Data · 2010-01-01 to 2010-12-31 · Crash-level records
Junction / Location Type
Most crashes in Georgia, VT occurred not at a junction, with 47 incidents reported in such locations. Intersections, including T-intersections (15 crashes), Y-intersections (2 crashes), and four-way intersections (1 crash), collectively accounted for 18 crashes. This means approximately 26.5% of crashes happened at intersections.
Junction / Location Type
Source: Vermont Crash Data · Arcgis Open Data · 2010-01-01 to 2010-12-31 · Crash-level records
Manner of Collision
The most common crash pattern was a single-vehicle crash, accounting for 34 incidents or 50% of all collisions. Rear-end collisions were the second most frequent, with 12 incidents representing 17.6% of crashes. Left-turn and thru, angle broadside collisions also occurred in 6 instances.
Manner of Collision
"Other" combines 4 smaller categories (5 records): Other - Explain in Narrative (2), Right Turn and Thru, Angle Broadside -->^-- (1), Opp Direction Sideswipe (1), Left Turn and Thru, Head On ^v-- (1).
Source: Vermont Crash Data · Arcgis Open Data · 2010-01-01 to 2010-12-31 · Crash-level records
Data Sources & Methodology
Primary Data Source
All crash data in this report is sourced from Vermont Crash Data, accessed programmatically via the Arcgis 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: Arcgis 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: 2010-01-01 through 2010-12-31
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2010-01-01 through 2010-12-31 (365 days)
- Geographic scope: Georgia, VT
- Total crash records analyzed: 68
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). "Georgia, VT Crash Intelligence Report: 2010." Published July 5, 2026. Reporting period: 2010-01-01 to 2010-12-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/georgia/2010-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: Vermont Crash Data · Arcgis
Period: 2010-01-01 – 2010-12-31
Generated: July 5, 2026 · All rights reserved