If you're a data point in this report, call us.
We'll evaluate whether you have a case. Free, and no pressure.
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
111,169 CRASHES IN
CONNECTICUT, CT
2015
In 2015, Connecticut recorded 111,169 total traffic crashes, resulting in 268 fatalities and 35,918 injuries. These incidents involved 209,543 vehicles and 277,755 individuals. The most common type of collision was front-to-rear, accounting for 37.3% of all crashes with a known collision manner.
111,169
Total Crash Events
268
Persons Killed
35,918
Persons Injured
10.8%
Hit-and-Run Rate
Note: "Persons Killed" (268) counts individual fatalities across all crash events. "Fatal" in the severity table below (253) 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
12,018
Hit-and-Run Crashes — 2015
A total of 12,018 crashes, or 10.8% of all incidents, 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 of the crash.
Vulnerable Road User Casualties
Motorists comprised the largest group of individuals killed or seriously injured, with 219 fatalities and 34,250 injuries reported. Vulnerable road users also suffered significant harm; 46 pedestrians were killed and 1,214 were injured. Among cyclists, there were 3 fatalities and 441 injuries recorded during the year.
46
Pedestrians Killed
3
Cyclists Killed
219
Motorists Killed
0
Other Killed
1,214
Pedestrians Injured
441
Cyclists Injured
34,250
Motorists Injured
13
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 peaked on Fridays, which saw 18,767 incidents, and during the 3 p.m. hour, with 9,445 crashes. A significant majority of crashes, 78,561 in total, occurred during daylight hours. Crashes in dark conditions, both on lighted and unlighted roads, accounted for a combined 28,440 incidents.
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, 76.5% (85,094 incidents), resulted in no injuries. Injury-involved crashes, including serious, minor, and possible injuries, constituted 23.2% of the total. There were 253 fatal crashes, which resulted in a total of 268 fatalities, indicating that some crashes involved more than one death.
Severity is per crash event (most severe injury). 253 fatal crash events resulted in 268 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 data shows that most crashes occurred in ideal driving conditions. A total of 78.7% of crashes (87,434) happened in clear weather, while 76.8% (85,339) were on dry road surfaces. Similarly, 70.7% of all crashes (78,561) took place in daylight. Crashes during adverse weather included 9,808 in rain and 4,934 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
Among all individuals involved in crashes, the 26-34 age group was the most represented, with 45,383 people. An analysis of vehicle makes involved in crashes shows Honda (23,905), Toyota (21,961), and Ford (20,996) as the most frequently recorded. These figures represent the raw counts of vehicles involved and do not reflect market share.
Top Vehicle Makes (209,543 vehicles)
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
19,072 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (261,246 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 highest number of crashes, 32,602 incidents, occurred in zones with a posted speed limit of 25 mph. Crashes in 65 mph zones, while fewer in number (5,716), had a higher likelihood of being fatal, with 0.60% of crashes in that speed zone resulting in a fatality. In contrast, in 25 mph zones, 0.13% of crashes were fatal.
Fatal crashes by zone: 1 mph: 8 of 8,928 (0.09%) · 20 mph: 1 of 553 (0.181%) · 25 mph: 43 of 32,602 (0.132%) · 30 mph: 28 of 10,068 (0.278%) · 35 mph: 28 of 12,920 (0.217%) · 40 mph: 29 of 6,936 (0.418%) · 45 mph: 25 of 4,345 (0.575%) · 50 mph: 15 of 3,182 (0.471%) · 55 mph: 24 of 9,986 (0.24%) · 65 mph: 34 of 5,716 (0.595%) · 88 mph: 9 of 8,346 (0.108%) · 99 mph: 5 of 3,817 (0.131%)
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Posted speed limit at crash location
Top Counties
Fairfield County experienced the highest number of crashes in the state, with 32,469 incidents, accounting for 29.2% of the total. New Haven County followed with 28,807 crashes (25.9%), and Hartford County had 26,223 crashes (23.6%). These three counties combined were the location for over 78% of all crashes statewide.
Top Counties
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Top Towns
The top three municipalities for crash volume were Hartford, with 6,766 incidents, New Haven with 6,463, and Bridgeport with 5,535. These were followed by Stamford (5,372 crashes) and Waterbury (5,181 crashes). Together, these five cities accounted for 26.5% of all crashes reported in the state.
Top Towns
Showing top 9 of 50 reported. 41 additional (45,686 total) not shown: Meriden, Stratford, Hamden, Manchester, Bristol, NewHaven, Milford, Middletown, East Hartford, Trumbull, Wallingford, West Hartford, Norwich, New Britain, Westport, West Haven, Orange, North Haven, Farmington, Southington, Wethersfield, Shelton, Enfield, Windsor, Groton, Newtown, Torrington, Darien, Branford, Glastonbury, Newington, Vernon, Cheshire, Berlin, New London, Bloomfield, Plainville, Bethel, Waterford, New Milford, Derby.
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Road Class
Analysis of roadway types shows that Minor Arterial roads had the highest number of crashes, with 4,287 incidents where this classification was recorded. Local roads accounted for 4,074 crashes, and Collector roads saw 3,738. Limited-access highways, including Interstates (3,053) and Freeways/Expressways (2,117), collectively accounted for 5,170 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 roadways. Local roads were the site of 45,241 crashes. State-maintained routes, including State, Interstate, and US Routes, collectively accounted for 59,532 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 specified, the overwhelming majority occurred on public roads, totaling 102,991 incidents. A smaller but notable number of crashes, 4,379, took place on private roads, such as those in parking lots or private developments.
Rural vs Urban
Among crashes with a defined geographic context, 17,133 occurred in urban areas. In contrast, 2,486 crashes were recorded in rural areas, representing 12.7% of the incidents where this classification was known.
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, 75,422 incidents, did not occur at an intersection. Among those that did, four-way intersections were the most common location, with 17,022 crashes, followed by T-intersections with 15,854 crashes. In total, 35,340 crashes occurred at some type of 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 where the first harmful event was striking a fixed object, the most common objects hit were guardrail faces (2,822), other fixed objects like walls or buildings (2,576), and utility poles or light supports (2,290). Collisions with utility poles and trees (1,394) together accounted for 3,684 of these run-off-road incidents.
Run-off-Road / Fixed-Object Strikes
Showing top 9 of 22 reported. 13 additional (2,968 total) not shown: Traffic Sign Support, Mailbox, Fence, Guardrail End, Ditch, Other Traffic Barrier, Struck by Falling, Shifting Cargo or Anything Set in Motion by Motor Vehicle, Bridge Overhead Structure, Impact Attenuator/Crash Cushion, Bridge Rail, Culvert, 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 133,551 vehicles. Sport Utility Vehicles (SUVs) were the second most frequent with 35,158 vehicles, followed by pickup trucks with 13,495. Notably, medium or heavy trucks were involved in 5,466 crashes, and motorcycles were involved in 1,339.
Vehicle Type
Showing top 9 of 18 reported. 9 additional (2,591 total) not shown: School Bus, Transit Bus, Other Bus, Moped, Low Speed Vehicle, Motor Home, All Terrain Vehicle (ATV), Motor Coach, Golf Cart.
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Traffic Control Device
A majority of crashes, 140,923 incidents, occurred at locations with no traffic control device present. For crashes at controlled locations, traffic signals were the most common, present at 48,876 crashes. Stop signs were the traffic control device at 14,059 crash locations.
Traffic Control Device
"Other" combines 6 smaller categories (601 records): Warning Sign (289), Marked Uncontrolled Crosswalk (191), School Zone Sign/Device (47), Pedestrian Button (42), Railway Crossing Device (31), Bicycle Detection (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, pedestrians were the most frequent group, with 1,360 incidents. Motorcyclists were involved in 1,298 crashes, and bicyclists in 537. Combined, pedestrians and bicyclists were involved in 1,897 distinct crashes.
Driver Contributing Action
Excluding drivers with no contributing action, the most common error was 'Followed Too Closely,' cited for 32,451 drivers. The next most frequent actions were 'Failed to Keep in Proper Lane' (16,106 drivers) and 'Failed to Yield Right-of-Way' (10,686 drivers). These three actions represent the leading contributing factors attributed to drivers.
Driver Contributing Action
Showing top 9 of 19 reported. 10 additional (12,133 total) not shown: Improper Passing, 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, 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 other conditions were noted. A total of 3,032 drivers were identified as being under the influence of medications, drugs, or alcohol. Another 1,625 drivers were noted 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 'Straight Ahead,' recorded for 94,150 vehicles. The next most frequent actions were 'Stopped in Traffic' (22,845 vehicles) and 'Slowing' (15,516 vehicles), often preceding rear-end collisions.
Pre-Crash Driver Action
Showing top 9 of 17 reported. 8 additional (13,623 total) not shown: Overtaking/Passing, Entering Traffic Lane, 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 in 60,189 instances, often designated as 'Sector 12 (North)'. The second most frequent impact point was the rear of the vehicle, noted as 'Sector 6 (South)' in 43,073 cases.
Point of Impact
"Other" combines 9 smaller categories (30,935 records): Sector 2 (NorthEast) in the 12-point Clock Diagram (6,804), Sector 9 (West) in the 12-point Clock Diagram (5,985), Sector 3 (East) in the 12-point Clock Diagram (5,356), Sector 8 (SouthWest) in the 12-point Clock Diagram (4,745), Sector 4 (SouthEast) in the 12-point Clock Diagram (4,202), Top (1,624), Non-Collision (1,533), Undercarriage (532), Cargo loss (154).
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Pedestrian/Cyclist Action
Among pedestrians involved in crashes where an action was recorded, 859 were determined to have taken 'No Improper Action'. However, for those with contributing actions, 'In Roadway Improperly' was cited in 176 cases, and 'Failure to Yield Right-Of-Way' was noted for 171 pedestrians.
Pedestrian/Cyclist Action
Showing top 9 of 14 reported. 5 additional (92 total) not shown: Inattentive (Talking, Eating, etc.), 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
Front-to-rear collisions were the most prevalent crash type, accounting for 41,473 incidents, or 37.3% of all crashes with a known manner of collision. Angle collisions were the second most common type, with 20,159 incidents, representing 18.1% of the total.
Manner of Collision
"Other" combines 1 smaller categories (1,094 records): Front to front (1,094).
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Person Type
Of the 277,755 individuals involved in crashes, the majority were drivers, totaling 197,078 people. Passengers constituted the next largest group with 66,943 individuals. The data also recorded 1,464 pedestrians and 546 bicyclists involved in these incidents.
Person Type
Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Person Injury Severity
Out of 277,755 people involved in crashes, 231,505 (83.4%) sustained no injuries. A total of 35,918 individuals suffered some level of injury, ranging from possible (22,114) to minor (12,277) and serious (1,527). There were 268 individuals who sustained 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
Shoulder and lap belts were the most commonly used form of safety equipment, recorded for 195,549 vehicle occupants. A total of 5,858 occupants were recorded as using no restraint system at all at the time of the crash.
Occupant Safety Equipment
"Other" combines 3 smaller categories (2,083 records): Other (948), Booster Seat (667), Child Restraint, Type Unknown (468).
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, accounting for 83,235 incidents. Single-vehicle crashes were the next most frequent, with 21,239 incidents, representing 19.1% of all crashes. The data also includes multi-vehicle pile-ups, with one crash involving as many as 10 vehicles.
Vehicles Per Crash
"Other" combines 4 smaller categories (8 records): 8 (4), 9 (2), Unknown (1), 10 (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 20, 2026
Data Coverage
- Reporting period: 2015-01-01 through 2015-12-31 (365 days)
- Geographic scope: connecticut, CT
- Total crash records analyzed: 111,169
- Total persons involved: 277,755
- Total vehicles involved: 209,543
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
The data is step one. Get a Connecticut attorney on the line.
Call our intake team. We connect you to a vetted Connecticut personal injury attorney who calls you back within minutes. No phone tag. No voicemails.
Always free for accident victims.