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
3,939 CRASHES IN
CONNECTICUT, CT
2015
In 2015, Litchfield County recorded 3,939 total traffic crashes, which resulted in 22 fatalities and 1,108 injuries. These incidents involved 8,782 individuals and 6,632 vehicles. Notably, over three-quarters of all crashes (76.9%) resulted in no reported injuries, indicating a high volume of property-damage-only events.
3,939
Total Crash Events
22
Persons Killed
1,108
Persons Injured
8.5%
Hit-and-Run Rate
Note: "Persons Killed" (22) counts individual fatalities across all crash events. "Fatal" in the severity table below (21) 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
334
Hit-and-Run Crashes — 2015
A total of 334 crashes, representing 8.5% of all incidents in Litchfield County, were classified as hit-and-run events. This classification is based on the initial determination made by the responding law enforcement officer at the scene. These incidents involved a driver leaving the scene of a crash without providing required information or rendering aid.
Vulnerable Road User Casualties
In 2015, motorists comprised the largest group of killed or seriously injured individuals, with 17 fatalities and 1,072 injuries. Vulnerable road users also suffered significant harm; four pedestrians were killed and 24 were injured in 29 separate incidents. Additionally, one cyclist was killed and 12 were injured in crashes involving bicycles.
4
Pedestrians Killed
1
Cyclists Killed
17
Motorists Killed
24
Pedestrians Injured
12
Cyclists Injured
1,072
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 Litchfield County peaked on Fridays, which saw 605 incidents, and during the 3 p.m. hour, when 347 crashes occurred. The data shows a clear pattern of crashes occurring during daylight hours, with 2,803 incidents (71.2%) happening in daylight. In contrast, 969 crashes (24.6%) were recorded in dark conditions, whether on lighted or unlighted roadways.
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, 76.9% or 3,030 incidents, were property-damage-only events with no reported injuries. Crashes involving some level of injury (possible, minor, or serious) accounted for 22.5% of the total. In 2015, there were 21 distinct fatal crashes, which resulted in a total of 22 fatalities.
Severity is per crash event (most severe injury). 21 fatal crash events resulted in 22 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 occurred in ideal driving conditions. Approximately 74.8% of crashes (2,945) happened in clear weather, 73.8% (2,906) on dry road surfaces, and 71.2% (2,803) during daylight hours. Adverse conditions were less frequent, with rain-related crashes accounting for 338 incidents and snow-related crashes for 180 incidents.
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 all individuals involved in crashes, the 45-54 age group was the most represented, with 1,365 people. The 26-34 age group followed with 1,177 individuals. Analysis of the 6,632 vehicles involved shows that Ford was the most common make, appearing in 819 instances, followed by Chevrolet (602) and Honda (597).
Top Vehicle Makes (6,632 vehicles)
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
465 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (7,908 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, 1,063 incidents, occurred in zones with a posted speed limit of 25 mph. While crashes were widespread across various speed limits, the fatality rate within zones varied significantly. For instance, while only 19 crashes occurred in 55 mph zones, 10.5% of those were fatal. Similarly, 1.55% of crashes in 65 mph zones were fatal, compared to just 0.38% in 25 mph zones.
Fatal crashes by zone: 1 mph: 1 of 197 (0.508%) · 25 mph: 4 of 1,063 (0.376%) · 30 mph: 5 of 518 (0.965%) · 40 mph: 1 of 439 (0.228%) · 45 mph: 4 of 323 (1.238%) · 55 mph: 2 of 19 (10.526%) · 65 mph: 3 of 193 (1.554%) · 99 mph: 1 of 46 (2.174%)
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Posted speed limit at crash location
Top Towns
The distribution of crashes across Litchfield County was concentrated in its more populated areas. The city of Torrington recorded the highest number of incidents with 836 crashes, accounting for 21.2% of the county's total. New Milford followed with 593 crashes (15.1%), and Watertown had 406 crashes (10.3%).
Top Towns
Showing top 9 of 26 reported. 17 additional (839 total) not shown: New Hartford, Barkhamsted, Washington, Salisbury, Kent, North Canaan, Sharon, Goshen, Roxbury, Morris, Bethlehem, Norfolk, Cornwall, Canaan, Colebrook, Bridgewater, Warren.
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Road Class
Analysis of roadway classification shows that Collector roads saw the highest number of crashes, with 403 incidents recorded. Minor Arterial roads accounted for 253 crashes, and Principal Arterial roads for 232. Limited-access highways, including Freeways and Expressways, were the site of 153 crashes.
Road Class
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Route System
Crashes were distributed across different roadway jurisdictions, with state-maintained routes (State and US Routes) accounting for a combined 2,496 incidents. Local roads under municipal jurisdiction were the location for 1,245 crashes. This indicates that the majority of crashes occurred on roads maintained by the state.
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 3,646 crashes took place on public thoroughfares. In contrast, 134 crashes, or 3.5% of the total, occurred on private roads, such as those in parking lots or private developments.
Rural vs Urban
From the crashes where a rural or urban designation was recorded, a slight majority occurred in rural settings. Rural areas accounted for 762 crashes, representing 55.1% of these classified incidents. Urban areas were the location for the remaining 620 crashes.
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 did not occur at an intersection. A total of 2,877 incidents, or 73% of all crashes, happened at non-junction locations. For crashes that did occur at intersections, T-intersections were the most common site with 582 incidents, followed by four-way intersections with 380 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
Among crashes where the first harmful event was a collision with a fixed object, the most frequently struck object was a guardrail face, which was hit 223 times. Utility poles and trees were also common hazards, with vehicles striking utility poles 122 times and trees 118 times. Together, poles and trees accounted for 240 of these single-vehicle, run-off-road crashes.
Run-off-Road / Fixed-Object Strikes
Showing top 9 of 21 reported. 12 additional (195 total) not shown: Guardrail End, Ditch, Traffic Sign Support, Fence, Other Traffic Barrier, Bridge Rail, Culvert, Struck by Falling, Shifting Cargo or Anything Set in Motion by Motor Vehicle, Concrete Traffic Barrier, Bridge Overhead Structure, Traffic Signal Support, 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 3,795 of all vehicles. Sport Utility Vehicles (1,272) and Pickups (717) were the next most frequent. Notably, 159 medium or heavy trucks and 95 motorcycles were also involved in crashes during this period.
Vehicle Type
Showing top 9 of 16 reported. 7 additional (47 total) not shown: School Bus, Moped, Low Speed Vehicle, Transit Bus, Other Bus, Motor Coach, All Terrain Vehicle (ATV).
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Traffic Control Device
Among vehicles involved in crashes where traffic control was noted, the majority (4,868 vehicles) were at locations with no control device. At intersections with controls, 1,029 vehicles were involved in crashes at locations with a traffic signal, while 491 were at intersections controlled by a stop sign.
Traffic Control Device
"Other" combines 4 smaller categories (36 records): Marked Uncontrolled Crosswalk (21), Warning Sign (13), Pedestrian Button (1), School Zone Sign/Device (1).
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Vulnerable Road Users & Motorcycles
In crashes involving vulnerable road users, motorcyclists were the most frequently involved group, with 92 incidents. There were also 29 crashes involving pedestrians and 13 involving bicyclists. Combined, pedestrians and bicyclists were involved in 42 crashes, representing 31.3% of these specific incidents.
Driver Contributing Action
Analysis of contributing driver actions reveals that following too closely was the most cited behavior, attributed to 885 drivers. Failing to keep in the proper lane was the second most common action, noted for 577 drivers, followed by running off the roadway, which was a factor for 359 drivers.
Driver Contributing Action
Showing top 9 of 19 reported. 10 additional (535 total) not shown: Swerved or Avoided Due to Wind, Slippery Surface, Motor Vehicle, Object, Non-Motorist in Roadway, etc., Ran Stop Sign, Improper Passing, Over-Correcting/Over-Steering, Ran Red Light, Operated Motor Vehicle in Reckless or Aggressive Manner, 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 recorded as 'Apparently Normal', several impairing conditions were noted. A total of 158 drivers were identified as being under the influence of medications, drugs, or alcohol. Additionally, 115 drivers were reported as being asleep or fatigued at the time of their 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 driving straight ahead, which was the case for 2,850 vehicles. A significant number of vehicles were stationary just before impact, with 637 stopped in traffic. Another common pre-crash maneuver was negotiating a curve, reported for 614 vehicles.
Pre-Crash Driver Action
Showing top 9 of 15 reported. 6 additional (480 total) not shown: Overtaking/Passing, Entering Traffic Lane, Changing Lanes, Leaving Traffic Lane, Wrong way (or Wrong Side), Making U-Turn.
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 the 'Sector 12' or north impact for 1,828 vehicles. The second most frequent impact point was the rear of the vehicle, or 'Sector 6', which occurred in 1,165 instances. These two locations represent the majority of initial vehicle impacts.
Point of Impact
"Other" combines 9 smaller categories (964 records): Sector 2 (NorthEast) in the 12-point Clock Diagram (205), Sector 9 (West) in the 12-point Clock Diagram (203), Sector 3 (East) in the 12-point Clock Diagram (167), Sector 8 (SouthWest) in the 12-point Clock Diagram (147), Sector 4 (SouthEast) in the 12-point Clock Diagram (96), Non-Collision (69), Top (38), Undercarriage (29), Cargo loss (10).
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Pedestrian/Cyclist Action
In incidents involving pedestrians, the most common recorded action was 'No Improper Action,' attributed to 15 individuals. However, several improper actions were also noted, including 5 instances of pedestrians being in the roadway improperly and 3 instances of a 'Dart/Dash' maneuver into traffic.
Pedestrian/Cyclist Action
Showing top 9 of 12 reported. 3 additional (3 total) not shown: Disabled Vehicle Related (Working on, Pushing, Leaving/Approaching), Entering/Exiting Parked/Standing Vehicle, 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 frequent type of crash was a front-to-rear collision, which accounted for 1,125 incidents, or 28.6% of the total. Angle collisions were the second most common type, with 575 incidents (14.6%). Sideswipes in the same direction occurred in 272 crashes.
Manner of Collision
"Other" combines 1 smaller categories (37 records): Rear to rear (37).
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Person Type
Of the 8,782 people involved in crashes, the majority were drivers, with 6,322 individuals recorded in this role. Passengers constituted the next largest group, with 1,796 people. The data also includes 30 pedestrians and 13 bicyclists involved in these traffic incidents.
Person Type
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Person Injury Severity
Across all 8,399 persons with a recorded injury status, 22 individuals sustained fatal injuries. A total of 1,108 persons were injured, with severities ranging from possible (549 persons) and minor (500 persons) to serious (59 persons). The vast majority, 7,269 individuals, 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
While most vehicle occupants (6,197) used both a shoulder and lap belt, a notable number did not. The data indicates that 538 occupants used no safety equipment at the time of the crash. Additionally, various forms of child restraints were in use, including 125 forward-facing systems and 34 rear-facing systems.
Occupant Safety Equipment
"Other" combines 3 smaller categories (62 records): Other (26), Booster Seat (24), Child Restraint, Type Unknown (12).
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 type of crash involved two vehicles, with 2,354 such incidents occurring. Single-vehicle crashes were also frequent, accounting for 1,434 incidents, or 36.4% of all crashes. Multi-vehicle pile-ups were rare, though there were 134 crashes involving three vehicles and one incident involving seven vehicles.
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: September 10, 2026
Data Coverage
- Reporting period: 2015-01-01 through 2015-12-31 (365 days)
- Geographic scope: connecticut, CT
- Total crash records analyzed: 3,939
- Total persons involved: 8,782
- Total vehicles involved: 6,632
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 September 10, 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: September 10, 2026 · All rights reserved