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CRASH INTELLIGENCE REPORT · CONNECTICUT, CT · SEPTEMBER 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/september-2015-report
Monthly Traffic Safety Analysis
9,209 CRASHES IN
CONNECTICUT, CT
SEPTEMBER 2015
In September 2015, Connecticut recorded 9,209 traffic crashes, resulting in 27 fatalities and 3,267 injuries. Analysis of collision types reveals that front-to-rear collisions were the most prevalent, accounting for 40.2% of all incidents.
9,209
Total Crash Events
27
Persons Killed
3,267
Persons Injured
11.1%
Hit-and-Run Rate
Note: "Persons Killed" (27) counts individual fatalities across all crash events. "Fatal" in the severity table below (25) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Aggregate counts from crash, person, and vehicle records
1,024
Hit-and-Run Crashes — September 2015
Based on initial officer reports, 1,024 crashes, or 11.1% of the total, were classified as hit-and-run incidents. This classification is based on the responding officer's determination at the scene.
Vulnerable Road User Casualties
Vulnerable road users were significantly impacted, with 8 pedestrians and 1 cyclist killed in crashes. Additionally, 117 pedestrians and 68 cyclists sustained injuries. For comparison, 18 motorists were killed and 3,081 were injured during the same period.
8
Pedestrians Killed
1
Cyclists Killed
18
Motorists Killed
0
Other Killed
117
Pedestrians Injured
68
Cyclists Injured
3,081
Motorists Injured
1
Other Injured
Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
Crash frequency peaked on Wednesday with 1,666 incidents, and the most hazardous hour was 2 p.m., which saw 773 crashes. Crashes were most common during daytime hours, with a significant surge during the afternoon period between 1 p.m. and 5 p.m.
Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Crash date field aggregated by weekday
Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The majority of crashes (74.1%) resulted in no injuries, while 25.7% involved at least one possible, minor, or serious injury. There were 25 fatal crashes, which accounted for 0.3% of all incidents and resulted in a total of 27 fatalities, indicating some crashes involved more than one death.
Severity is per crash event (most severe injury). 25 fatal crash events resulted in 27 persons killed.
Outcome by Severity (Crash Events)
Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Most severe injury per crash record
Road & Environmental Conditions
The vast majority of crashes occurred in ideal conditions, with 75.8% happening in daylight, 88.0% in clear weather, and 89.3% on dry road surfaces. Adverse weather was a factor in a smaller portion of incidents, with 712 crashes occurring during rain and 897 on wet roads.
Weather
Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Weather condition at time of crash
Lighting
Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Lighting condition field
Road Surface
Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Road surface condition field
Vehicles & Demographics
Analysis of persons involved in crashes shows the 26-34 age group was the most represented with 3,866 individuals, followed by the 45-54 age group with 3,492 individuals. Among vehicle makes involved in crashes, data suggests Honda (1,974 vehicles), Toyota (1,814 vehicles), and Ford (1,729 vehicles) were the most frequent.
Top Vehicle Makes (17,552 vehicles)
Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Vehicle unit records
1,973 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (22,242 persons with recorded sex)
Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Person-level records linked to crash events
Speed Limit Zones
The most crashes occurred in 25 mph zones, which saw 2,879 incidents, accounting for 31.3% of all crashes. The percentage of crashes that were fatal tended to increase with the posted speed limit, with a notable rate in 45 mph zones where 1.10% of crashes resulted in a fatality.
Fatal crashes by zone: 1 mph: 2 of 797 (0.251%) · 25 mph: 4 of 2,879 (0.139%) · 30 mph: 3 of 805 (0.373%) · 35 mph: 3 of 1,033 (0.29%) · 40 mph: 3 of 612 (0.49%) · 45 mph: 4 of 365 (1.096%) · 50 mph: 2 of 280 (0.714%) · 55 mph: 1 of 791 (0.126%) · 65 mph: 2 of 467 (0.428%) · 88 mph: 1 of 650 (0.154%)
Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Posted speed limit at crash location
Top Counties
Fairfield County experienced the highest volume of crashes with 2,612 incidents, followed by Hartford County with 2,029 and New Haven County with 1,787. Combined, these three counties accounted for over 81% of all crashes for which county data was recorded.
Top Counties
Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Crash-level records
Top Towns
The highest concentration of crashes occurred in Connecticut's largest cities, with Hartford recording 720 incidents, New Haven recording a combined 675 incidents, and Bridgeport recording 495. Together, these three cities accounted for approximately 20.5% of all crashes statewide during this period.
Top Towns
Showing top 9 of 50 reported. 41 additional (3,642 total) not shown: Manchester, Greenwich, Stratford, Hamden, New Haven, Middletown, Bristol, Wallingford, Norwich, Windsor, Milford, Trumbull, Westport, WestHartford, NewBritain, EastHartford, WestHaven, Newington, Torrington, Farmington, Orange, Enfield, NorthHaven, Wethersfield, Darien, Newtown, Groton, Shelton, Naugatuck, Branford, Vernon, Berlin, Southington, Plainville, Bethel, Glastonbury, Ridgefield, Waterford, Cheshire, Mansfield, Derby.
Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Crash-level records
Road Class
Among crashes where the road class was identified, Minor Arterial roads saw the most incidents with 338, closely followed by Local roads with 318. Limited-access highways, including Interstates and Freeways/Expressways, collectively accounted for 357 crashes, or 24.2% of crashes in this subset.
Road Class
Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Crash-level records
Route System
Crashes were split between state-maintained routes and local roads, with local roads accounting for 3,874 crashes. State-maintained routes, including State, Interstate, and US Routes, were the location for 4,902 crashes, representing 55.9% of the incidents where route system was specified.
Route System
Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Crash-level records
Public vs Private Road
Of the crashes where roadway ownership was documented, the vast majority occurred on public roads (8,563 incidents). A total of 368 crashes, or 4.1% of this subset, took place on private roads such as in parking lots or private drives.
Rural vs Urban
In cases where the area type was identified, crashes were predominantly urban, with 1,304 incidents recorded. Rural areas accounted for 171 crashes, representing 11.6% of this specific dataset.
Rural vs Urban
Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Crash-level records
Junction Type
The majority of crashes, 6,229 incidents, did not occur at an intersection. Approximately 32.0% of crashes (2,947 incidents) happened at or in relation to a junction, with four-way intersections being the most common type, accounting for 1,491 crashes.
Junction Type
Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Crash-level records
Run-off-Road / Fixed-Object Strikes
When a crash involved striking a fixed object, the most common objects hit were unclassified fixed objects like walls or buildings (204 incidents), guardrail faces (179), and utility poles or light supports (164). Collisions with utility poles and trees together accounted for 271 incidents, representing 21.7% of all reported fixed-object crashes.
Run-off-Road / Fixed-Object Strikes
Showing top 9 of 22 reported. 13 additional (231 total) not shown: Cable Barrier, Mailbox, Fence, Guardrail End, Other Traffic Barrier, Bridge Overhead Structure, Struck by Falling, Shifting Cargo or Anything Set in Motion by Motor Vehicle, Ditch, Traffic Signal Support, Bridge Rail, Impact Attenuator/Crash Cushion, Bridge Pier or Support, Culvert.
Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Crash-level records
Vehicle Type
Passenger cars were the most common vehicle type involved in crashes, accounting for 11,083 of the 17,552 vehicles, followed by (Sport) Utility Vehicles with 2,890. The data also includes 481 medium or heavy trucks, 210 motorcycles, and 200 buses of various types.
Vehicle Type
Showing top 9 of 17 reported. 8 additional (258 total) not shown: School Bus, Transit Bus, Moped, Other Bus, Motor Home, Low Speed Vehicle, Motor Coach, All Terrain Vehicle (ATV).
Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Vehicle unit records
Traffic Control Device
A majority of vehicles in crashes, 11,586 in total, were at locations with no traffic control device present. Crashes at locations with a traffic control signal involved 4,334 vehicles, while 1,199 involved a stop sign.
Traffic Control Device
"Other" combines 6 smaller categories (69 records): Warning Sign (30), Marked Uncontrolled Crosswalk (22), Pedestrian Button (10), School Zone Sign/Device (4), Railway Crossing Device (2), Bicycle Detection (1).
Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Vehicle unit records
Vulnerable Road Users & Motorcycles
Among incidents involving vulnerable road users or motorcyclists, there were 204 motorcyclists, 135 pedestrians, and 84 bicyclists. Combined, pedestrians and bicyclists made up 219 of these incidents, representing 51.8% of this high-risk group.
Driver Contributing Action
The most frequently cited driver action contributing to a crash was 'Followed Too Closely,' recorded for 2,977 drivers. This was followed by 'Failed to Keep in Proper Lane' (1,331 drivers) and 'Failed to Yield Right-of-Way' (831 drivers).
Driver Contributing Action
Showing top 9 of 19 reported. 10 additional (845 total) not shown: Operated Motor Vehicle in Inattentive, Careless, Negligent, or Erratic Manner, Ran Stop Sign, Ran Red Light, Swerved or Avoided Due to Wind, Slippery Surface, Motor Vehicle, Object, Non-Motorist in Roadway, etc., 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 · 2015-09-01 to 2015-09-30 · Person-level records linked to crash events
Driver Condition
Among drivers where a condition other than 'Apparently Normal' was noted, 256 were determined to be under the influence of medications, drugs, or alcohol. Additionally, 141 drivers were identified as asleep or fatigued, and 83 were noted as being in an emotional state.
Driver Condition
Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Person-level records linked to crash events
Pre-Crash Driver Action
The most common pre-crash action for drivers was 'Straight Ahead,' which was reported for 8,061 vehicles. The next most common actions were 'Stopped in Traffic' (1,939 vehicles) and 'Slowing' (1,342 vehicles).
Pre-Crash Driver Action
Showing top 9 of 17 reported. 8 additional (1,115 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 · 2015-09-01 to 2015-09-30 · Vehicle unit records
Point of Impact
The most common point of impact was the front of the vehicle, which was struck in 5,153 instances. The rear of the vehicle was the second most common impact point, with 3,893 instances. Combined, frontal and rear impacts accounted for 56.0% of all collisions where the initial impact point was recorded.
Point of Impact
"Other" combines 9 smaller categories (2,471 records): Sector 2 (NorthEast) in the 12-point Clock Diagram (529), Sector 9 (West) in the 12-point Clock Diagram (473), Sector 3 (East) in the 12-point Clock Diagram (445), Sector 8 (SouthWest) in the 12-point Clock Diagram (362), Sector 4 (SouthEast) in the 12-point Clock Diagram (340), Non-Collision (135), Top (130), Undercarriage (42), Cargo loss (15).
Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Vehicle unit records
Pedestrian/Cyclist Action
In nearly half of the incidents involving pedestrians for which an action was recorded (48.6%), the pedestrian was determined to have taken 'No Improper Action' (104 cases). The most common improper actions cited were 'Dart/Dash' into the roadway (23 cases) and being 'In Roadway Improperly' (20 cases).
Pedestrian/Cyclist Action
Showing top 9 of 11 reported. 2 additional (5 total) not shown: Improper Turn/Merge, Inattentive (Talking, Eating, etc.).
Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Non-motorist records linked to crash events
Manner of Collision
Front-to-rear collisions were the most common type of crash, accounting for 3,701 incidents, or 40.2% of the total. Angle collisions were the second most frequent type with 1,603 crashes (17.4%), followed by same-direction sideswipes with 1,227 crashes (13.3%).
Manner of Collision
"Other" combines 1 smaller categories (77 records): Front to front (77).
Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Crash-level records
Person Type
Of the 23,870 people involved in crashes, the majority were drivers, accounting for 16,747 individuals (70.2%). Passengers comprised the next largest group with 5,851 individuals (24.5%), while 140 pedestrians and 87 bicyclists were also involved.
Person Type
Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Crash-level records
Person Injury Severity
Across all 23,870 individuals involved, 82.1% (19,604 people) reported no injuries. A total of 3,267 people sustained injuries of varying severity (13.7%), and 27 individuals suffered fatal injuries, representing 0.11% of all persons involved.
Person Injury Severity
Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Crash-level records
Occupant Safety Equipment
Among vehicle occupants for whom safety equipment use was recorded, 85.0% (15,988 individuals) were reported as using a shoulder and lap belt. A total of 581 occupants, or 3.1% of this group, were recorded as using no restraint system at the time of the crash.
Occupant Safety Equipment
"Other" combines 3 smaller categories (145 records): Booster Seat (62), Other (45), Child Restraint, Type Unknown (38).
Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Person-level records linked to crash events
Vehicles Per Crash
The vast majority of crashes, 6,986 incidents or 75.9%, involved two vehicles. Single-vehicle crashes accounted for 17.8% of the total (1,641 incidents), while multi-vehicle incidents involving three or more vehicles made up the remaining 6.3%.
Vehicles Per Crash
Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · 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: 2015-09-01 through 2015-09-30
- Report generated: August 20, 2026
Data Coverage
- Reporting period: 2015-09-01 through 2015-09-30 (30 days)
- Geographic scope: connecticut, CT
- Total crash records analyzed: 9,209
- Total persons involved: 23,870
- Total vehicles involved: 17,552
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: September 2015." Published August 20, 2026. Reporting period: 2015-09-01 to 2015-09-30. Data source: Connecticut Crash Data, Csv Open Data. Available at: https://thatcarhitme.com/crash-data/connecticut/statewide/september-2015-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: 2015-09-01 – 2015-09-30
Generated: August 20, 2026 · All rights reserved
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