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ThatCarHitMe.com
An Injuria.ai Company
CRASH INTELLIGENCE REPORT · CONNECTICUT, CT · 2015
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/connecticut/statewide/2015-annual-report
Yearly Traffic Safety Analysis
32,469 CRASHES IN
CONNECTICUT, CT
2015
In 2015, Fairfield County recorded 32,469 traffic crashes, resulting in 38 fatalities and 9,145 injuries. The most common type of collision was front-to-rear, accounting for 38% of all incidents where the manner was specified. The majority of crashes, 79.4%, resulted in no injuries.
32,469
Total Crash Events
38
Persons Killed
9,145
Persons Injured
9.3%
Hit-and-Run Rate
Note: "Persons Killed" (38) counts individual fatalities across all crash events. "Fatal" in the severity table below (37) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Aggregate counts from crash, person, and vehicle records
3,013
Hit-and-Run Crashes — 2015
Based on the responding officer's initial determination, 3,013 crashes in Fairfield County involved a hit-and-run. This represents 9.3% of all crashes recorded in 2015. This classification is made at the scene and may be subject to change as an investigation proceeds.
Vulnerable Road User Casualties
In 2015, a total of 38 people were killed and 9,145 were injured in Fairfield County crashes. Among these, 5 pedestrians were killed and 383 were injured. While no cyclists were killed, 113 sustained injuries. The largest group of casualties were motorists, with 33 fatalities and 8,648 injuries recorded.
5
Pedestrians Killed
0
Cyclists Killed
33
Motorists Killed
0
Other Killed
383
Pedestrians Injured
113
Cyclists Injured
8,648
Motorists Injured
1
Other Injured
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
Crash frequency in Fairfield County peaked on Fridays, with 5,415 incidents reported throughout the year. The single busiest hour for crashes was the 5 p.m. hour, which saw 2,751 events, aligning with the evening commute. Overall, crashes were most common during daytime hours, with incident volumes increasing from the morning and peaking in the late afternoon.
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Crash date field aggregated by weekday
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The vast majority of crashes in 2015, 79.4%, resulted in no injuries and were classified as property-damage-only. Injury-related crashes accounted for 20.5% of the total, encompassing serious, minor, and possible injuries. There were 37 distinct fatal crashes, which resulted in a total of 38 fatalities, indicating at least one crash involved multiple deaths.
Severity is per crash event (most severe injury). 37 fatal crash events resulted in 38 persons killed.
Outcome by Severity (Crash Events)
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Most severe injury per crash record
Road & Environmental Conditions
A significant majority of crashes occurred in ideal driving conditions, with 79.6% happening in clear weather and 78.3% on dry road surfaces. Approximately 72.0% of all incidents took place during daylight hours. Crashes in adverse weather included 2,823 in rain and 1,268 in snow, while incidents on non-dry surfaces included 4,493 on wet roads.
Weather
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Weather condition at time of crash
Lighting
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Lighting condition field
Road Surface
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Road surface condition field
Vehicles & Demographics
Analysis of persons involved in crashes shows the most represented age groups were 26-34 years old (12,384 people), 45-54 (12,104 people), and 35-44 (11,541 people). Among the 62,485 vehicles involved, the most frequent makes, after consolidating variations in reporting, were Honda, Toyota, and Ford. These were followed by Nissan, Chevrolet, and Jeep.
Top Vehicle Makes (62,485 vehicles)
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
5,904 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (73,594 persons with recorded sex)
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Person-level records linked to crash events
Speed Limit Zones
The speed zone with the highest number of crashes was 25 mph, accounting for 9,324 incidents, or 28.7% of the total. The 55 mph zone had the second-highest volume with 5,049 crashes. While lower speed zones saw more crashes, the percentage of crashes within a zone that were fatal tended to increase with the speed limit; 0.68% of crashes in 45 mph zones were fatal, compared to 0.218% in 55 mph zones and 0.064% in 25 mph zones.
Fatal crashes by zone: 1 mph: 2 of 3,860 (0.052%) · 25 mph: 6 of 9,324 (0.064%) · 30 mph: 5 of 2,810 (0.178%) · 35 mph: 4 of 2,670 (0.15%) · 40 mph: 2 of 1,307 (0.153%) · 45 mph: 3 of 441 (0.68%) · 55 mph: 11 of 5,049 (0.218%) · 88 mph: 1 of 3,607 (0.028%) · 99 mph: 1 of 1,796 (0.056%)
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Posted speed limit at crash location
Top Towns
The geographic distribution of crashes across Fairfield County was concentrated in its largest urban centers. The city of Bridgeport recorded the most crashes with 5,535, representing 17.0% of the county's total. Stamford followed closely with 5,372 crashes (16.5%), and Danbury accounted for 3,640 crashes (11.2%).
Top Towns
Showing top 9 of 23 reported. 14 additional (6,405 total) not shown: Shelton, Newtown, Darien, Bethel, Wilton, Ridgefield, Monroe, Brookfield, New Canaan, Redding, Easton, New Fairfield, Weston, Sherman.
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Road Class
Among crashes where the road class was specified, 'Minor Arterial' roads saw the highest number of incidents with 1,168. This was followed by 'Local' roads with 1,099 crashes and 'Collector' roads with 774. Limited-access highways, including Interstates and Freeways/Expressways, collectively accounted for 1,022 of these crashes.
Road Class
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Route System
Crashes were nearly evenly split between local and state-maintained routes. Local roads accounted for 13,790 crashes (46.8% of those with known route systems). State-maintained routes, which include State, Interstate, and US Routes, collectively saw 15,694 crashes, representing 53.2% of the total.
Route System
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Public vs Private Road
Of the crashes where roadway ownership was recorded, the vast majority occurred on public roads (29,011 incidents). A total of 1,907 crashes, or 6.2% of this subset, took place on private property such as parking lots, private drives, or within private developments.
Rural vs Urban
In the subset of crashes with a rural-urban designation, incidents were overwhelmingly concentrated in urban areas, which saw 4,257 crashes. Rural areas accounted for 273 crashes, representing 6.0% of this specific dataset.
Rural vs Urban
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Junction Type
The majority of crashes, 21,707, occurred at locations not classified as intersections. Of the 10,404 crashes that did happen at junctions, T-intersections (4,884) and four-way intersections (4,801) were the most common locations. Combined, all types of intersections accounted for 32.4% of crashes where junction type was identified.
Junction Type
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Run-off-Road / Fixed-Object Strikes
Among crashes involving a collision with a fixed object, the most frequently struck objects were guardrail faces (512 incidents), utility poles or light supports (484), and trees (308). Collisions with poles and trees combined accounted for 792 of these run-off-road incidents. Other commonly struck objects included curbs (360) and concrete traffic barriers (266).
Run-off-Road / Fixed-Object Strikes
Showing top 9 of 22 reported. 13 additional (701 total) not shown: Mailbox, Traffic Sign Support, Cable Barrier, Bridge Overhead Structure, Other Traffic Barrier, Ditch, Guardrail End, Struck by Falling, Shifting Cargo or Anything Set in Motion by Motor Vehicle, Bridge Rail, Impact Attenuator/Crash Cushion, Traffic Signal Support, Culvert, Bridge Pier or Support.
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Vehicle Type
Passenger cars were the most common vehicle type involved in crashes, accounting for 39,936 of all vehicles. Sport Utility Vehicles were the second most frequent with 11,110 involved. Notably, 1,755 medium or heavy trucks were involved in crashes, along with 259 motorcycles and 526 buses of various types.
Vehicle Type
Showing top 9 of 18 reported. 9 additional (589 total) not shown: Motorcycle, Transit Bus, Other Bus, Moped, Motor Coach, Motor Home, Low Speed Vehicle, All Terrain Vehicle (ATV), Golf Cart.
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Traffic Control Device
For vehicles involved in crashes where traffic control was noted, the most common situation was the absence of a control device, recorded for 43,867 vehicles. Traffic signals were present for 12,939 vehicles involved in crashes, and stop signs were the primary control for 4,046 vehicles. A smaller number of vehicles were involved at locations with yield signs (237) or flashing signals (415).
Traffic Control Device
"Other" combines 5 smaller categories (155 records): Warning Sign (63), Marked Uncontrolled Crosswalk (55), Pedestrian Button (18), School Zone Sign/Device (12), Railway Crossing Device (7).
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Vulnerable Road Users & Motorcycles
There were 798 crashes recorded involving vulnerable road users or motorcyclists. Of these, pedestrians were involved in 415 incidents and bicyclists in 130. Combined, pedestrians and bicyclists made up 68.3% of these specific crash types, while motorcyclists were involved in the remaining 253 crashes.
Driver Contributing Action
Among driver actions cited as contributing factors, 'Followed Too Closely' was the most common, attributed to 9,703 drivers. The next most frequent actions were 'Failed to Keep in Proper Lane' (4,282 drivers) and 'Failed to Yield Right-of-Way' (3,039 drivers). These actions were followed by 'Improper Backing' (2,678 drivers) and 'Improper Turn' (1,145 drivers).
Driver Contributing Action
Showing top 9 of 19 reported. 10 additional (3,117 total) not shown: Operated Motor Vehicle in Inattentive, Careless, Negligent, or Erratic Manner, Ran Stop Sign, Swerved or Avoided Due to Wind, Slippery Surface, Motor Vehicle, Object, Non-Motorist in Roadway, etc., Ran Red Light, Over-Correcting/Over-Steering, Operated Motor Vehicle in Reckless or Aggressive Manner, Disregarded Other Traffic Sign, Wrong Side or Wrong Way, Disregarded Other Road Markings, Overtaking Cyclist.
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Person-level records linked to crash events
Driver Condition
While most drivers were recorded as 'Apparently Normal,' several contributing conditions were noted. A total of 609 drivers were identified as being under the influence of medications, drugs, or alcohol. Additionally, 354 drivers were noted as being asleep or fatigued, and 227 were described as emotional at the time of the crash.
Driver Condition
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Person-level records linked to crash events
Pre-Crash Driver Action
The most common pre-crash action for vehicles was moving 'Straight Ahead,' which was recorded for 26,347 vehicles, or 42.2% of the total. The second most frequent status was 'Stopped in Traffic,' noted for 6,987 vehicles (11.2%). Other common pre-crash movements included 'Slowing' (5,207 vehicles) and 'Turning Left' (4,122 vehicles).
Pre-Crash Driver Action
Showing top 9 of 16 reported. 7 additional (3,713 total) not shown: Other, Overtaking/Passing, Entering Traffic Lane, Leaving Traffic Lane, Making U-Turn, Wrong way (or Wrong Side), Overtaking/Passing Cyclist.
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Point of Impact
The most common point of impact was the front of the vehicle, described as 'Sector 12 (North) in the 12-point Clock Diagram,' which occurred in 17,059 instances (27.3% of vehicles). The second most frequent impact point was the rear of the vehicle, or 'Sector 6 (South),' recorded for 13,369 vehicles (21.4%).
Point of Impact
"Other" combines 9 smaller categories (9,158 records): Sector 2 (NorthEast) in the 12-point Clock Diagram (2,118), Sector 9 (West) in the 12-point Clock Diagram (1,793), Sector 3 (East) in the 12-point Clock Diagram (1,526), Sector 8 (SouthWest) in the 12-point Clock Diagram (1,420), Sector 4 (SouthEast) in the 12-point Clock Diagram (1,332), Top (418), Non-Collision (403), Undercarriage (128), Cargo loss (20).
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Pedestrian/Cyclist Action
Among the 519 pedestrian actions recorded, the most common was 'No Improper Action,' noted in 279 cases. The most frequently cited improper actions included 'In Roadway Improperly' (44 instances), 'Failure to Yield Right-Of-Way' (43 instances), and 'Failure to Obey Traffic Signs, Signals, or Officer' (33 instances).
Pedestrian/Cyclist Action
Showing top 9 of 14 reported. 5 additional (17 total) not shown: Entering/Exiting Parked/Standing Vehicle, Disabled Vehicle Related (Working on, Pushing, Leaving/Approaching), Improper Turn/Merge, Improper Passing, Use of Electronic Device.
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Non-motorist records linked to crash events
Manner of Collision
The most prevalent manner of collision was 'Front to rear,' accounting for 12,331 crashes, or 38.0% of all incidents with a specified collision type. Angle collisions were the second most common type, with 5,865 crashes (18.1%), followed by same-direction sideswipes, which occurred in 4,471 crashes (13.8%).
Manner of Collision
"Other" combines 1 smaller categories (305 records): Front to front (305).
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Person Type
A total of 79,139 people were involved in crashes, with drivers being the largest group at 58,171 individuals (73.5%). Passengers constituted the next largest group, with 17,998 people involved (22.7%). Pedestrians (435) and bicyclists (130) together accounted for 0.7% of all persons involved.
Person Type
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Person Injury Severity
Of the 79,139 people involved in traffic incidents, 67,639 (85.5%) sustained no injuries. A total of 9,145 individuals were injured, including 339 with serious injuries, 2,950 with minor injuries, and 5,856 with possible injuries. Overall, 38 individuals suffered fatal injuries.
Person Injury Severity
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Occupant Safety Equipment
The majority of vehicle occupants, 55,931, were recorded as using both a shoulder and lap belt. However, 1,330 occupants were documented as not using any form of restraint. An additional 6,348 were listed with 'Restraint Used, Type Unknown,' indicating the specific type of safety equipment could not be determined.
Occupant Safety Equipment
"Other" combines 3 smaller categories (540 records): Other (275), Child Restraint, Type Unknown (136), Booster Seat (129).
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Person-level records linked to crash events
Vehicles Per Crash
The most common incidents were two-vehicle crashes, which accounted for 25,361 collisions, or 78.1% of the total. Single-vehicle crashes were the next most frequent category, with 5,035 incidents (15.5%). Crashes involving three or more vehicles numbered 2,073, with the largest pile-ups involving up to 8 vehicles.
Vehicles Per Crash
"Other" combines 1 smaller categories (2 records): 8 (2).
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Data Sources & Methodology
Primary Data Source
All crash data in this report is sourced from Connecticut Crash Data, 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: 2015-01-01 through 2015-12-31
- Report generated: August 20, 2026
Data Coverage
- Reporting period: 2015-01-01 through 2015-12-31 (365 days)
- Geographic scope: connecticut, CT
- Total crash records analyzed: 32,469
- Total persons involved: 79,139
- Total vehicles involved: 62,485
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). "connecticut, CT Crash Intelligence Report: 2015." Published August 20, 2026. Reporting period: 2015-01-01 to 2015-12-31. Data source: Connecticut Crash Data, Csv Open Data. Available at: https://thatcarhitme.com/crash-data/connecticut/statewide/2015-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: Connecticut Crash Data · Csv
Period: 2015-01-01 – 2015-12-31
Generated: August 20, 2026 · All rights reserved
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