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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
28,807 CRASHES IN
CONNECTICUT, CT
2015
In 2015, New Haven County recorded 28,807 total traffic crashes, resulting in 62 fatalities and 9,929 injuries. A significant statistical finding from this period is the prevalence of front-to-rear collisions, which accounted for 38.2% of all crashes. The data indicates that most crashes occurred during daylight hours on dry, clear days.
28,807
Total Crash Events
62
Persons Killed
9,929
Persons Injured
13.3%
Hit-and-Run Rate
Note: "Persons Killed" (62) counts individual fatalities across all crash events. "Fatal" in the severity table below (59) 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
3,839
Hit-and-Run Crashes — 2015
In 2015, there were 3,839 crashes classified as hit-and-run incidents, representing 13.3% of all crashes in New Haven County. This classification is based on the initial determination made by the responding law enforcement officer at the scene.
Vulnerable Road User Casualties
Motorists comprised the largest group of individuals killed or injured, with 47 fatalities and 9,473 injuries. Vulnerable road users also suffered significant harm; 14 pedestrians were killed and 337 were injured. Additionally, one cyclist was killed and 118 were injured in crashes during this period.
14
Pedestrians Killed
1
Cyclists Killed
47
Motorists Killed
0
Other Killed
337
Pedestrians Injured
118
Cyclists Injured
9,473
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
Crashes in New Haven County occurred most frequently on Fridays, which saw a total of 4,977 incidents. The single busiest hour for crashes was 4 p.m., with 2,483 events, part of a broader peak during the afternoon commute from 3 p.m. to 5 p.m. Overall, 70.7% of all crashes happened during daylight hours.
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
Of the 28,807 crashes, the majority (75.4%) resulted in no injuries, being classified as property-damage-only events. The remaining 24.6% of crashes involved a possible, minor, serious, or fatal injury. There were 59 distinct fatal crashes recorded, which resulted in a total of 62 fatalities.
Severity is per crash event (most severe injury). 59 fatal crash events resulted in 62 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
The majority of crashes in 2015 occurred under ideal driving conditions. Approximately 78% of incidents took place in clear weather, 76.8% on dry road surfaces, and 70.7% during daylight hours. Crashes in adverse conditions were less frequent, with rain-related incidents accounting for 2,526 crashes and snow-related incidents for 1,308.
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
Among the 73,096 individuals involved in crashes, the 26-34 age group was the most represented, with 12,578 people. Analysis of the 54,861 vehicles involved shows that the most frequent makes were Ford (5,450), Honda (3,864), and Nissan (3,058).
Top Vehicle Makes (54,861 vehicles)
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
4,872 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (69,272 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 most crashes, 11,184 or 38.8% of the total, occurred in zones with a posted speed limit of 25 mph. While lower speed zones saw more crashes, the fatality risk increased with speed. For instance, 0.943% of crashes in the 65 mph zone were fatal, the highest rate among all speed zones, compared to 0.152% in 25 mph zones.
Fatal crashes by zone: 1 mph: 3 of 2,290 (0.131%) · 25 mph: 17 of 11,184 (0.152%) · 30 mph: 3 of 1,711 (0.175%) · 35 mph: 9 of 2,557 (0.352%) · 40 mph: 6 of 1,705 (0.352%) · 45 mph: 3 of 1,267 (0.237%) · 55 mph: 3 of 3,195 (0.094%) · 65 mph: 11 of 1,166 (0.943%) · 88 mph: 2 of 940 (0.213%)
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Posted speed limit at crash location
Top Towns
Geographically, crashes were concentrated in the county's larger urban centers. The city of New Haven accounted for the highest number of crashes with 6,463 incidents (22.4% of the county total). Waterbury followed with 5,181 crashes (18.0%), and Meriden had 2,125 crashes (7.4%).
Top Towns
Showing top 9 of 27 reported. 18 additional (6,821 total) not shown: Branford, Cheshire, Derby, Southbury, East Haven, Guilford, Naugatuck, Ansonia, Seymour, Middlebury, Woodbridge, Madison, Wolcott, Prospect, North Branford, Oxford, Beacon Falls, Bethany.
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Road Class
Among crashes with a specified roadway class, Minor Arterials saw the highest number of incidents with 1,187. Limited-access highways, including Interstates (775 crashes) and Freeways/Expressways (530 crashes), collectively accounted for 1,305 crashes, or 28.7% of the classified total.
Road Class
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Route System
Analysis of the route system shows that 54.1% of crashes occurred on state-maintained roadways, which include State, US, and Interstate routes, totaling 14,814 incidents. The remaining 12,559 crashes, or 45.9%, took place on local roads under municipal jurisdiction.
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 documented, the vast majority occurred on public roads. A total of 1,055 crashes, representing 3.8% of the classified total, were recorded on private property, such as parking lots or private drives.
Rural vs Urban
The data indicates a significant urban concentration of crashes. Among incidents with a specified location type, 4,450 occurred in urban areas. In contrast, only 95 crashes, or 2.1% of the classified total, were recorded in rural areas.
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, 20,108 incidents, did not occur at an intersection. However, a significant number of crashes, totaling 8,629 (30% of the classified total), happened at various types of junctions. Four-way intersections were the most common crash location among junctions, with 4,219 incidents.
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
In crashes where the first harmful event was a collision with a fixed object, the most commonly struck objects were guardrail faces (691 incidents), walls or buildings (624), and utility poles (500). Collisions with utility poles and trees combined accounted for 795 incidents, representing 20.5% of all fixed-object crashes.
Run-off-Road / Fixed-Object Strikes
Showing top 9 of 22 reported. 13 additional (635 total) not shown: Cable Barrier, Traffic Sign Support, Mailbox, Guardrail End, Ditch, Other Traffic Barrier, Struck by Falling, Shifting Cargo or Anything Set in Motion by Motor Vehicle, Impact Attenuator/Crash Cushion, Bridge Overhead Structure, Traffic Signal Support, Bridge Rail, 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 35,192 of all vehicles. Sport Utility Vehicles were the second most common with 9,024 involvements. Notably, medium and heavy trucks were involved in 1,530 crashes, while motorcycles were involved in 333.
Vehicle Type
Showing top 9 of 17 reported. 8 additional (704 total) not shown: School Bus, Transit Bus, Other Bus, Moped, Low Speed Vehicle, Motor Home, All Terrain Vehicle (ATV), Motor Coach.
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Traffic Control Device
A majority of vehicles involved in crashes were at locations with no traffic control device present, accounting for 36,580 vehicle involvements. Locations with a traffic control signal were the site of 13,104 vehicle involvements, and stop signs were present for 3,630 vehicle involvements.
Traffic Control Device
"Other" combines 6 smaller categories (142 records): Person (including flagger, law enforcement, crossing guard, etc.) (74), Marked Uncontrolled Crosswalk (48), School Zone Sign/Device (12), Railway Crossing Device (6), Bicycle Detection (1), Pedestrian Button (1).
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Vulnerable Road Users & Motorcycles
Among crashes involving pedestrians, bicyclists, or motorcyclists, a total of 852 such incidents were recorded. Pedestrians and bicyclists, classified as vulnerable road users, were involved in a combined 528 crashes, making up 62.0% of this group. Motorcyclists were involved in the remaining 324 crashes.
Driver Contributing Action
Excluding cases with no contributing action, the most common driver action cited was "Followed Too Closely," noted for 8,559 drivers. This was followed by "Failed to Keep in Proper Lane" (4,285 drivers) and "Failed to Yield Right-of-Way" (2,743 drivers).
Driver Contributing Action
Showing top 9 of 19 reported. 10 additional (2,725 total) not shown: Operated Motor Vehicle in Inattentive, Careless, Negligent, or Erratic Manner, Swerved or Avoided Due to Wind, Slippery Surface, Motor Vehicle, Object, Non-Motorist in Roadway, etc., Ran Red Light, Ran Stop Sign, Operated Motor Vehicle in Reckless or Aggressive Manner, Over-Correcting/Over-Steering, Wrong Side or Wrong Way, Disregarded Other Traffic Sign, 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 reported as "Apparently Normal," several hundred were noted to be in a compromised condition. A total of 681 drivers were suspected of being under the influence of medications, drugs, or alcohol. Additionally, 380 drivers were identified as asleep or fatigued, and 364 were noted as being emotional.
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 action drivers were performing just before a crash was simply driving "Straight Ahead," which was the case for 24,455 vehicles. The next most frequent pre-crash actions were being "Stopped in Traffic" (6,130 vehicles) and being "Parked" (4,268 vehicles).
Pre-Crash Driver Action
Showing top 9 of 17 reported. 8 additional (3,851 total) not shown: Entering Traffic Lane, Overtaking/Passing, Other, Leaving Traffic Lane, Making U-Turn, Wrong way (or Wrong Side), Overtaking/Passing Cyclist, Traveling in Bike Lane.
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Point of Impact
The front of the vehicle was the most common point of impact, recorded as "Sector 12 (North)" in 15,718 instances, representing 29.0% of impacts. The rear of the vehicle, "Sector 6 (South)," was the second most frequent impact point, occurring in 11,156 cases or 20.6% of the total.
Point of Impact
"Other" combines 9 smaller categories (7,940 records): Sector 2 (NorthEast) in the 12-point Clock Diagram (1,717), Sector 9 (West) in the 12-point Clock Diagram (1,477), Sector 3 (East) in the 12-point Clock Diagram (1,328), Sector 8 (SouthWest) in the 12-point Clock Diagram (1,295), Sector 4 (SouthEast) in the 12-point Clock Diagram (1,055), Top (528), Non-Collision (359), Undercarriage (141), Cargo loss (40).
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Pedestrian/Cyclist Action
In crashes involving pedestrians, 200 individuals were determined to have been taking "No Improper Action" at the time of the collision. Among those where an improper action was noted, the most frequent were "In Roadway Improperly" (63 pedestrians) and "Dart/Dash" into the road (53 pedestrians).
Pedestrian/Cyclist Action
Showing top 9 of 14 reported. 5 additional (26 total) not shown: Not Visible (Dark Clothing, No Lighting, etc.), Disabled Vehicle Related (Working on, Pushing, Leaving/Approaching), Improper Turn/Merge, Use of Electronic Device, Improper Passing.
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Non-motorist records linked to crash events
Manner of Collision
Front-to-rear collisions were the most common type of crash, accounting for 11,001 incidents, or 38.2% of all crashes in 2015. The next most frequent crash types were angle collisions (5,001 crashes or 17.4%) and same-direction sideswipes (4,354 crashes or 15.1%).
Manner of Collision
"Other" combines 1 smaller categories (295 records): Rear to rear (295).
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Person Type
Of the 73,096 people involved in crashes, the majority were drivers, accounting for 50,865 individuals (69.6%). Passengers made up the next largest group with 18,228 individuals (24.9%). Vulnerable road users, including 401 pedestrians and 155 bicyclists, constituted a smaller but significant portion of those involved.
Person Type
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Person Injury Severity
Out of 73,096 people involved in traffic incidents, 9,929 (13.6%) sustained some level of injury, ranging from possible to serious. A total of 62 individuals suffered fatal injuries, representing approximately 0.085% of all persons involved. The vast majority, 59,947 people, were not injured.
Person Injury Severity
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Occupant Safety Equipment
Data on safety equipment use shows that 1,716 motor vehicle occupants were not using any form of restraint at the time of their crash. This accounts for 3.0% of the 57,325 occupants for whom restraint use was recorded. The most commonly used equipment was a shoulder and lap belt, reported for 48,593 individuals.
Occupant Safety Equipment
"Other" combines 3 smaller categories (435 records): Booster Seat (185), Other (151), Child Restraint, Type Unknown (99).
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Person-level records linked to crash events
Vehicles Per Crash
Two-vehicle crashes were the most common scenario, accounting for 22,037 incidents or 76.5% of all crashes. Single-vehicle crashes, often involving running off the road or striking an object, were the second most frequent type, with 5,017 incidents (17.4% of the total).
Vehicles Per Crash
"Other" combines 1 smaller categories (1 records): 8 (1).
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 21, 2026
Data Coverage
- Reporting period: 2015-01-01 through 2015-12-31 (365 days)
- Geographic scope: connecticut, CT
- Total crash records analyzed: 28,807
- Total persons involved: 73,096
- Total vehicles involved: 54,861
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 21, 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 21, 2026 · All rights reserved
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