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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
3,836 CRASHES IN
CONNECTICUT, CT
2015
In 2015, Middlesex County recorded 3,836 traffic crashes, resulting in 19 fatalities and 1,068 injuries. The most common type of collision was the front-to-rear crash, accounting for 36.3% of all incidents recorded during this period.
3,836
Total Crash Events
19
Persons Killed
1,068
Persons Injured
8.0%
Hit-and-Run Rate
Note: "Persons Killed" (19) counts individual fatalities across all crash events. "Fatal" in the severity table below (18) 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
305
Hit-and-Run Crashes — 2015
In 2015, there were 305 hit-and-run crashes reported in Middlesex County, which represents 8% of all crashes. This determination is based on the initial assessment by the responding law enforcement officer at the scene.
Vulnerable Road User Casualties
In 2015, motorists accounted for the vast majority of traffic casualties, with 17 killed and 1,022 injured. Among vulnerable road users, 2 pedestrians were killed and 37 were injured. Additionally, 9 cyclists were injured in crashes, with no fatalities reported for this group.
2
Pedestrians Killed
0
Cyclists Killed
17
Motorists Killed
37
Pedestrians Injured
9
Cyclists Injured
1,022
Motorists 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 Middlesex County peaked on Fridays, with 623 incidents recorded in 2015. The most common time for crashes was the 3 p.m. hour with 340 events, part of a broader afternoon peak from 2 p.m. to 5 p.m. A total of 2,753 crashes, or 71.8% of all incidents, occurred 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 3,836 crashes in 2015, 79% (3,032) resulted in no injuries, while 20.6% (786) involved at least one reported injury. There were 18 fatal crashes recorded, which resulted in a total of 19 fatalities, indicating that at least one crash involved multiple deaths.
Severity is per crash event (most severe injury). 18 fatal crash events resulted in 19 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 in favorable conditions. Specifically, 71.8% of crashes happened in daylight (2,753), 77.1% in clear weather (2,958), and 75.2% on dry road surfaces (2,884). Crashes in adverse weather included 282 incidents in rain and 264 in snow.
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 largest representations from the 26-34 age group (1,357 individuals) and the 45-54 age group (1,335 individuals). Among the 6,888 vehicles involved, the most frequent makes recorded were Toyota (801), Ford (730), Honda (690), Chevrolet (620), and Nissan (596).
Top Vehicle Makes (6,888 vehicles)
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
557 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (8,659 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 occurred in 25 mph zones, with 666 incidents, accounting for 17.4% of all crashes. Zones with a 65 mph speed limit saw the next highest frequency with 644 crashes. While lower speed zones had more crashes, the percentage of those crashes that were fatal was higher in some higher speed zones; 1.027% of crashes in 45 mph zones and 0.932% of crashes in 65 mph zones were fatal.
Fatal crashes by zone: 20 mph: 1 of 23 (4.348%) · 25 mph: 1 of 666 (0.15%) · 30 mph: 2 of 276 (0.725%) · 35 mph: 1 of 567 (0.176%) · 40 mph: 3 of 319 (0.94%) · 45 mph: 3 of 292 (1.027%) · 65 mph: 6 of 644 (0.932%) · 88 mph: 1 of 624 (0.16%)
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 was concentrated in a few key towns. Middletown alone accounted for 1,623 crashes, representing 42.3% of the county's total. Cromwell followed with 587 crashes (15.3%), and Clinton had the third-highest volume with 254 crashes (6.6%).
Top Towns
Showing top 9 of 15 reported. 6 additional (456 total) not shown: Essex, Middlefield, Killingworth, Chester, East Haddam, Deep River.
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 recorded, Collector and Freeway/Expressway roads each saw the highest number of incidents, with 206 crashes apiece. Limited-access highways, combining Interstates (130 crashes) and Freeways/Expressways (206 crashes), accounted for 336 of these incidents. Local roads were the site of 184 crashes.
Road Class
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Route System
Crashes were most prevalent on state-maintained routes, which include State (2,062 crashes), Interstate (438 crashes), and US Routes (156 crashes). Combined, these routes under state jurisdiction accounted for 2,656 crashes. Local roads were the site of 1,004 crashes.
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 (3,629) occurred on public roads. A total of 107 crashes, or approximately 2.9% of the recorded total, took place on private property such as parking lots or private drives.
Rural vs Urban
Based on crashes with a specified location type, 828 occurred in urban areas and 132 in rural areas. This indicates that 13.75% of these documented crashes took place in a rural setting.
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, 2,523 incidents, did not occur at an intersection. Of the crashes that did happen at a junction, T-intersections were the most common location with 623 crashes, followed by four-way intersections with 520 crashes. In total, approximately 34% of all crashes occurred at an intersection.
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 commonly struck objects were guardrail faces (153 incidents), utility poles or light supports (115 incidents), and trees (101 incidents). Combined, collisions with poles and trees accounted for 216 of these run-off-road events.
Run-off-Road / Fixed-Object Strikes
Showing top 9 of 21 reported. 12 additional (133 total) not shown: Concrete Traffic Barrier, Guardrail End, Other Post, Pole or Support, Other Traffic Barrier, Ditch, Struck by Falling, Shifting Cargo or Anything Set in Motion by Motor Vehicle, Fence, Bridge Overhead Structure, Bridge Rail, Bridge Pier or Support, Traffic Signal Support, Impact Attenuator/Crash Cushion.
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 4,213 of the 6,888 vehicles recorded, followed by Sport Utility Vehicles (1,198) and Pick Up trucks (590). The data also includes involvement from 174 medium or heavy trucks, 64 motorcycles, and 44 buses of various types.
Vehicle Type
Showing top 9 of 18 reported. 9 additional (61 total) not shown: School Bus, Transit Bus, Motor Home, All Terrain Vehicle (ATV), Other Bus, Moped, Low Speed Vehicle, Motor Coach, Golf Cart.
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Traffic Control Device
Analysis of traffic controls present at crash locations shows that a majority of vehicles (4,424) were involved in crashes where no control device was present. For crashes at controlled locations, 1,541 vehicles were involved at intersections with a traffic signal, while 708 were at locations with a stop sign.
Traffic Control Device
"Other" combines 5 smaller categories (30 records): Yield Sign (13), Marked Uncontrolled Crosswalk (8), School Zone Sign/Device (6), Railway Crossing Device (2), Pedestrian Button (1).
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Vulnerable Road Users & Motorcycles
The data identifies 119 crashes involving vulnerable road users or motorcyclists. Of these, motorcyclists were the largest group with 62 incidents. Combined, pedestrians (44 crashes) and bicyclists (13 crashes) accounted for 57 incidents, representing nearly 48% of these specific crash types.
Driver Contributing Action
Among driver actions cited as contributing factors, 'Followed Too Closely' was the most common, attributed to 989 drivers and accounting for 14.9% of all drivers. Other leading actions included 'Failed to Keep in Proper Lane' with 573 instances and 'Failed to Yield Right-of-Way' with 364 instances.
Driver Contributing Action
Showing top 9 of 19 reported. 10 additional (429 total) not shown: Swerved or Avoided Due to Wind, Slippery Surface, Motor Vehicle, Object, Non-Motorist in Roadway, etc., Improper Passing, Ran Stop Sign, 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 adverse conditions were noted. A total of 137 drivers were reported as being under the influence of medications, drugs, or alcohol. An additional 80 drivers were identified as asleep or fatigued, and 32 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 pre-crash action for vehicles involved was 'Straight Ahead,' which was recorded for 3,321 vehicles, or 48.2% of the total. The next most frequent actions were 'Stopped in Traffic' with 584 vehicles and 'Turning Left' with 499 vehicles.
Pre-Crash Driver Action
Showing top 9 of 17 reported. 8 additional (549 total) not shown: Entering Traffic Lane, Other, Overtaking/Passing, Leaving Traffic Lane, Making U-Turn, Wrong way (or Wrong Side), Traveling in Bike Lane, 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 frequent point of impact was the front of the vehicle, described as 'Sector 12 (North),' which was recorded for 2,126 vehicles, representing 30.9% of impacts. The rear of the vehicle, 'Sector 6 (South),' was the second most common impact point, noted in 1,445 cases or 21% of the total.
Point of Impact
"Other" combines 9 smaller categories (1,016 records): Sector 10 (NorthWest) in the 12-point Clock Diagram (205), Sector 9 (West) in the 12-point Clock Diagram (185), Sector 3 (East) in the 12-point Clock Diagram (177), Sector 8 (SouthWest) in the 12-point Clock Diagram (154), Sector 4 (SouthEast) in the 12-point Clock Diagram (114), Top (90), Non-Collision (60), Undercarriage (26), Cargo loss (5).
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Pedestrian/Cyclist Action
For the 48 pedestrians involved in crashes, the most common recorded action was 'No Improper Action,' noted in 23 cases. Among actions deemed improper, 'Dart/Dash' was the most frequent with 9 instances, followed by 'Failure to Obey Traffic Signs, Signals, or Officer' with 6 instances.
Pedestrian/Cyclist Action
Showing top 9 of 11 reported. 2 additional (2 total) not shown: Improper Passing, Wrong-Way Riding or Walking.
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 crash type was a 'Front to rear' collision, which accounted for 1,391 incidents, or 36.3% of all crashes. Angle collisions were the second most common type with 584 incidents (15.2%), followed by 'Sideswipe, same direction' crashes with 375 incidents (9.8%).
Manner of Collision
"Other" combines 1 smaller categories (41 records): Front to front (41).
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Person Type
A total of 9,114 individuals were involved in crashes, with drivers being the largest group at 6,634 people (72.8%). Passengers constituted the next largest group with 2,104 individuals (23.1%). The data also includes 48 pedestrians and 15 bicyclists.
Person Type
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Person Injury Severity
Out of 9,114 people involved in crashes, 19 individuals sustained fatal injuries (0.21%). A total of 1,068 people, or 11.7% of all individuals, suffered some level of injury, ranging from possible to serious. The vast majority of people involved, 7,762 individuals, were reported to have no 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 data on safety equipment usage shows that 'Shoulder and Lap Belt Used' was the most common status, reported for 6,905 occupants. However, it was noted that 146 motor vehicle occupants used no restraint system at the time of their crash. An additional 144 individuals were secured in a forward-facing child restraint system.
Occupant Safety Equipment
"Other" combines 3 smaller categories (56 records): Child Restraint System, Rear Facing (31), Booster Seat (19), Child Restraint, Type Unknown (6).
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 majority of crashes involved two vehicles, with 2,629 such incidents recorded, accounting for 68.5% of the total. Single-vehicle crashes were the next most common scenario, with 1,019 incidents (26.6%). Crashes involving three or more vehicles were less frequent, with 188 occurrences.
Vehicles Per Crash
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: 3,836
- Total persons involved: 9,114
- Total vehicles involved: 6,888
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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