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CRASH INTELLIGENCE REPORT · CONNECTICUT, CT · FEBRUARY 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/february-2015-report
Monthly Traffic Safety Analysis
9,625 CRASHES IN
CONNECTICUT, CT
FEBRUARY 2015
In February 2015, Connecticut recorded 9,625 traffic crashes, resulting in 18 fatalities and 2,352 injuries. These incidents involved 23,820 individuals and 18,288 vehicles. A notable factor during this period was weather, with snow, slush, or ice reported as the road surface condition in over 3,100 crashes, reflecting the winter month.
9,625
Total Crash Events
18
Persons Killed
2,352
Persons Injured
10.8%
Hit-and-Run Rate
Note: "Persons Killed" (18) counts individual fatalities across all crash events. "Fatal" in the severity table below (17) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Connecticut Crash Data · Csv Open Data · 2015-02-01 to 2015-02-28 · Aggregate counts from crash, person, and vehicle records
1,036
Hit-and-Run Crashes — February 2015
Based on the responding officer's initial determination, 1,036 crashes were classified as hit-and-run incidents, accounting for 10.8% of all crashes during this period. These crashes involved a driver leaving the scene of the collision without providing required information.
Vulnerable Road User Casualties
Of the 2,370 people killed or injured, motorists comprised the largest group, with 11 fatalities and 2,279 injuries. Pedestrians represented a significant portion of fatalities, with 7 individuals killed and 68 injured in 86 separate crashes. There were no cyclist fatalities recorded, though 3 cyclists were injured in 5 crashes.
7
Pedestrians Killed
0
Cyclists Killed
11
Motorists Killed
0
Other Killed
68
Pedestrians Injured
3
Cyclists Injured
2,279
Motorists Injured
2
Other Injured
Source: Connecticut Crash Data · Csv Open Data · 2015-02-01 to 2015-02-28 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
Crash analysis reveals distinct temporal patterns, with Wednesday being the peak day for crashes, recording 1,633 incidents. The afternoon commute represents the most frequent time for collisions, with the hours of 3 p.m. and 4 p.m. each recording a peak of 854 crashes. Overall, 6,438 crashes, or approximately 67%, occurred during daylight hours.
Source: Connecticut Crash Data · Csv Open Data · 2015-02-01 to 2015-02-28 · Crash date field aggregated by weekday
Source: Connecticut Crash Data · Csv Open Data · 2015-02-01 to 2015-02-28 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The vast majority of crashes, 81.9% (7,880 incidents), resulted in no injuries. Injury-involved crashes accounted for 18.0% of the total, comprising 46 serious injury, 585 minor injury, and 1,097 possible injury crashes. A total of 17 crashes were classified as fatal, which resulted in 18 total fatalities, as a single crash can involve more than one death.
Severity is per crash event (most severe injury). 17 fatal crash events resulted in 18 persons killed.
Outcome by Severity (Crash Events)
Source: Connecticut Crash Data · Csv Open Data · 2015-02-01 to 2015-02-28 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Connecticut Crash Data · Csv Open Data · 2015-02-01 to 2015-02-28 · Most severe injury per crash record
Road & Environmental Conditions
While most crashes occurred in favorable conditions, adverse weather was a significant factor. Approximately 53.4% of crashes (5,141) happened on dry road surfaces, and 71.9% (6,919) occurred in clear weather. However, crashes on roads with snow (2,087), ice/frost (508), or slush (575) were common, as were incidents during snowfall (1,616).
Weather
Source: Connecticut Crash Data · Csv Open Data · 2015-02-01 to 2015-02-28 · Weather condition at time of crash
Lighting
Source: Connecticut Crash Data · Csv Open Data · 2015-02-01 to 2015-02-28 · Lighting condition field
Road Surface
Source: Connecticut Crash Data · Csv Open Data · 2015-02-01 to 2015-02-28 · Road surface condition field
Vehicles & Demographics
Among the 23,820 people involved in crashes, the 26-34 age group was the most represented, with 3,865 individuals. Analysis of the 18,288 vehicles involved shows that Ford was the most frequent make, with 1,987 vehicles recorded. Other common makes included Honda (1,979 vehicles, combining 'HONDA' and 'HOND' entries) and Toyota (1,851 vehicles, combining 'TOYOTA', 'TOYT', and 'TOYO' entries).
Top Vehicle Makes (18,288 vehicles)
Source: Connecticut Crash Data · Csv Open Data · 2015-02-01 to 2015-02-28 · Vehicle unit records
1,921 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (22,276 persons with recorded sex)
Source: Connecticut Crash Data · Csv Open Data · 2015-02-01 to 2015-02-28 · Person-level records linked to crash events
Speed Limit Zones
The most crashes, 2,808 incidents (29.2% of the total), occurred in zones with a posted speed limit of 25 mph. In this zone, 0.11% of crashes were fatal. The percentage of crashes that were fatal varied across speed zones, with the 40 mph zone having the highest rate at 0.52% of its crashes resulting in a fatality. Notably, zones recorded with a speed limit of 35 mph saw 1,103 crashes and 4 fatalities.
Fatal crashes by zone: 25 mph: 3 of 2,808 (0.107%) · 30 mph: 2 of 850 (0.235%) · 35 mph: 4 of 1,103 (0.363%) · 40 mph: 3 of 581 (0.516%) · 55 mph: 2 of 659 (0.303%) · 65 mph: 1 of 525 (0.19%) · 88 mph: 1 of 846 (0.118%) · 99 mph: 1 of 431 (0.232%)
Source: Connecticut Crash Data · Csv Open Data · 2015-02-01 to 2015-02-28 · Posted speed limit at crash location
Top Counties
Crash distribution was concentrated in three of Connecticut's eight counties. Fairfield County had the highest number of crashes with 2,602, followed closely by New Haven County with 2,589 and Hartford County with 2,515. Together, these three counties accounted for approximately 80% of all crashes statewide during this period.
Top Counties
Source: Connecticut Crash Data · Csv Open Data · 2015-02-01 to 2015-02-28 · Crash-level records
Top Towns
The highest crash volumes were recorded in Connecticut's largest urban centers. New Haven led all municipalities with 798 crashes, followed by Hartford with 696, and Bridgeport with 558. These three cities alone constituted 21.3% of the total crashes reported across the state in February 2015.
Top Towns
Showing top 9 of 50 reported. 41 additional (3,897 total) not shown: Greenwich, East Hartford, Fairfield, Hamden, Trumbull, Middletown, Stratford, Norwich, West Hartford, Milford, Norwalk, North Haven, Wethersfield, Groton, Enfield, Westport, Farmington, New Britain, Southington, Vernon, Shelton, Newington, Cheshire, Newtown, Wallingford, Branford, Torrington, Cromwell, Orange, Mansfield, Bloomfield, Berlin, Windham, Rocky Hill, Glastonbury, Killingly, Waterford, East Haven, New Milford, Bethel, Plainville.
Source: Connecticut Crash Data · Csv Open Data · 2015-02-01 to 2015-02-28 · Crash-level records
Road Class
Among the 1,415 crashes where the roadway's functional class was recorded, Interstates saw the highest number of incidents with 331. Combined, limited-access highways (Interstates and Freeways/Expressways) accounted for 519 crashes, or 36.7% of this subset. Crashes on Minor Arterials (276) and local roads (216) were also frequent.
Road Class
Source: Connecticut Crash Data · Csv Open Data · 2015-02-01 to 2015-02-28 · Crash-level records
Route System
Analysis of the 8,966 crashes with route system data shows a nearly even split between state-maintained and local roadways. State-maintained routes (including Interstates, US Routes, and State routes) were the location for 4,703 crashes (52.4%), while local roads accounted for 4,263 crashes (47.6%).
Route System
Source: Connecticut Crash Data · Csv Open Data · 2015-02-01 to 2015-02-28 · Crash-level records
Public vs Private Road
Of the 9,197 crashes where roadway ownership was identified, the vast majority occurred on public roads (8,837 crashes). A smaller but notable number of incidents, 360 crashes or 3.9% of this group, took place on private property such as parking lots or private drives.
Rural vs Urban
In the subset of 1,415 crashes with a rural-urban designation, the majority occurred in urban areas. Urban locations accounted for 1,257 crashes, while 158 crashes, or 11.2% of this subset, were recorded in rural areas.
Rural vs Urban
Source: Connecticut Crash Data · Csv Open Data · 2015-02-01 to 2015-02-28 · Crash-level records
Junction Type
The majority of crashes did not occur at an intersection. Of the 9,596 crashes with junction data, 6,393 (66.6%) were non-junction related. Intersections accounted for 3,203 crashes (33.4%), with T-intersections (1,542) and four-way intersections (1,457) being the most common types.
Junction Type
Source: Connecticut Crash Data · Csv Open Data · 2015-02-01 to 2015-02-28 · Crash-level records
Run-off-Road / Fixed-Object Strikes
Among crashes where the first harmful event was striking a fixed object, the most commonly struck object was a guardrail face, involved in 238 incidents. Other frequently hit objects include embankments (150), concrete traffic barriers (97), and utility poles (95). Combined, collisions with utility poles and trees accounted for 140 of these run-off-road crashes.
Run-off-Road / Fixed-Object Strikes
Showing top 9 of 22 reported. 13 additional (180 total) not shown: Traffic Sign Support, Fence, Guardrail End, Mailbox, Struck by Falling, Shifting Cargo or Anything Set in Motion by Motor Vehicle, Impact Attenuator/Crash Cushion, Ditch, Other Traffic Barrier, Bridge Rail, Bridge Overhead Structure, Traffic Signal Support, Culvert, Bridge Pier or Support.
Source: Connecticut Crash Data · Csv Open Data · 2015-02-01 to 2015-02-28 · Crash-level records
Vehicle Type
Passenger cars were the most common vehicle type involved in crashes, accounting for 11,455 of all vehicles. Sport Utility Vehicles (2,912) and Pick Up trucks (1,296) were the next most frequent. Notably, 573 medium or heavy trucks and 353 buses (including school, transit, and other types) were involved in collisions.
Vehicle Type
Showing top 9 of 18 reported. 9 additional (157 total) not shown: Transit Bus, Other Bus, Low Speed Vehicle, Motor Home, Motor Coach, Motorcycle, Golf Cart, Moped, All Terrain Vehicle (ATV).
Source: Connecticut Crash Data · Csv Open Data · 2015-02-01 to 2015-02-28 · Vehicle unit records
Traffic Control Device
Among vehicles involved in crashes where traffic control was documented, 12,910 were at locations with no control device present. Traffic signals were present for 3,557 vehicles involved in crashes, and stop signs were the governing control for 1,264 vehicles. A smaller number of incidents occurred at locations with flashing signals (154) or yield signs (67).
Traffic Control Device
"Other" combines 4 smaller categories (26 records): Warning Sign (9), School Zone Sign/Device (8), Marked Uncontrolled Crosswalk (8), Pedestrian Button (1).
Source: Connecticut Crash Data · Csv Open Data · 2015-02-01 to 2015-02-28 · Vehicle unit records
Vulnerable Road Users & Motorcycles
In crashes involving vulnerable road users, pedestrians were the most frequent group. Of the 93 such incidents recorded, 86 involved pedestrians and 5 involved bicyclists. These two groups together represent 97.8% of the vulnerable user crashes identified in this specific dataset.
Driver Contributing Action
Among drivers for whom a contributing action was cited, following too closely was the most common error, attributed to 2,189 drivers. The next most frequent actions were failing to keep in the proper lane (1,252 drivers) and failing to yield the right-of-way (1,066 drivers). These three actions represent the majority of specified driver errors.
Driver Contributing Action
Showing top 9 of 18 reported. 9 additional (1,271 total) not shown: Improper Passing, Operated Motor Vehicle in Inattentive, Careless, Negligent, or Erratic Manner, Ran Stop Sign, Ran Red Light, Over-Correcting/Over-Steering, Wrong Side or Wrong Way, Operated Motor Vehicle in Reckless or Aggressive Manner, Disregarded Other Traffic Sign, Disregarded Other Road Markings.
Source: Connecticut Crash Data · Csv Open Data · 2015-02-01 to 2015-02-28 · Person-level records linked to crash events
Driver Condition
Of the drivers noted as having a condition other than 'Apparently Normal', 223 were suspected of being under the influence of medications, drugs, or alcohol. Another 95 drivers were described as emotional (depressed, angry, etc.), and 71 were noted as being asleep or fatigued at the time of the crash.
Driver Condition
Source: Connecticut Crash Data · Csv Open Data · 2015-02-01 to 2015-02-28 · Person-level records linked to crash events
Pre-Crash Driver Action
The most common pre-crash action for vehicles was moving straight ahead, which was the case for 8,270 vehicles involved. A significant number of vehicles were stopped in traffic (1,699) or parked (1,578) prior to being involved in a collision. Turning left was the fourth most common pre-crash maneuver, recorded for 1,316 vehicles.
Pre-Crash Driver Action
Showing top 9 of 17 reported. 8 additional (1,334 total) not shown: Overtaking/Passing, Other, Entering Traffic Lane, Leaving Traffic Lane, Wrong way (or Wrong Side), Making U-Turn, Overtaking/Passing Cyclist, Traveling in Bike Lane.
Source: Connecticut Crash Data · Csv Open Data · 2015-02-01 to 2015-02-28 · Vehicle unit records
Point of Impact
Analysis of vehicle impact points indicates that frontal collisions are most common. Over half of the impacts (51.0%) were to the front of the vehicle, combining the 11, 12, and 1 o'clock positions. Rear impacts, represented by the 5, 6, and 7 o'clock positions, accounted for 27.3% of collisions.
Point of Impact
"Other" combines 9 smaller categories (2,924 records): Sector 2 (NorthEast) in the 12-point Clock Diagram (645), Sector 9 (West) in the 12-point Clock Diagram (611), Sector 8 (SouthWest) in the 12-point Clock Diagram (456), Sector 3 (East) in the 12-point Clock Diagram (454), Sector 4 (SouthEast) in the 12-point Clock Diagram (379), Top (164), Non-Collision (155), Undercarriage (40), Cargo loss (20).
Source: Connecticut Crash Data · Csv Open Data · 2015-02-01 to 2015-02-28 · Vehicle unit records
Pedestrian/Cyclist Action
In incidents involving pedestrians where their action was recorded, 44 of 85 pedestrians (51.8%) were determined to have committed no improper action. For those with an improper action noted, the most common were failure to obey a traffic signal (9 pedestrians) and being in the roadway improperly (8 pedestrians).
Pedestrian/Cyclist Action
Showing top 9 of 11 reported. 2 additional (3 total) not shown: Wrong-Way Riding or Walking, Disabled Vehicle Related (Working on, Pushing, Leaving/Approaching).
Source: Connecticut Crash Data · Csv Open Data · 2015-02-01 to 2015-02-28 · Non-motorist records linked to crash events
Manner of Collision
The most frequent type of collision was a front-to-rear crash, which accounted for 3,022 incidents, or 31.4% of all crashes. Angle collisions were the second most common type, with 2,090 incidents (21.7%). Sideswipes in the same direction of travel occurred in 1,376 crashes (14.3%).
Manner of Collision
"Other" combines 1 smaller categories (115 records): Front to front (115).
Source: Connecticut Crash Data · Csv Open Data · 2015-02-01 to 2015-02-28 · Crash-level records
Person Type
Of the 23,820 individuals involved in crashes, the majority were drivers (17,055 people, or 71.6%). Passengers constituted the second-largest group, with 5,944 individuals, making up 25.0% of all persons involved. Vulnerable road users, including 89 pedestrians and 5 bicyclists, were also documented.
Person Type
Source: Connecticut Crash Data · Csv Open Data · 2015-02-01 to 2015-02-28 · Crash-level records
Person Injury Severity
Among the 23,209 persons with a documented injury status, 18 suffered fatal injuries. A total of 2,352 individuals sustained some level of injury, representing 10.1% of all people involved. The majority of individuals, 20,839 people, were not injured.
Person Injury Severity
Source: Connecticut Crash Data · Csv Open Data · 2015-02-01 to 2015-02-28 · Crash-level records
Occupant Safety Equipment
Among 19,142 vehicle occupants with safety equipment usage recorded, 16,468 were noted as using both a shoulder and lap belt. A total of 533 occupants, or 2.8% of this group, were recorded as using no restraint system at the time of the crash.
Occupant Safety Equipment
"Other" combines 3 smaller categories (167 records): Child Restraint System, Rear Facing (73), Booster Seat (58), Child Restraint, Type Unknown (36).
Source: Connecticut Crash Data · Csv Open Data · 2015-02-01 to 2015-02-28 · Person-level records linked to crash events
Vehicles Per Crash
The vast majority of crashes involved two vehicles, accounting for 7,686 incidents or 79.9% of the total. Single-vehicle crashes were the next most common, with 1,493 incidents (15.5%). Multi-vehicle pile-ups involving three or more vehicles were less frequent, with 381 three-vehicle crashes and 56 four-vehicle crashes recorded.
Vehicles Per Crash
Source: Connecticut Crash Data · Csv Open Data · 2015-02-01 to 2015-02-28 · 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: 2015-02-01 through 2015-02-28
- Report generated: August 20, 2026
Data Coverage
- Reporting period: 2015-02-01 through 2015-02-28 (28 days)
- Geographic scope: connecticut, CT
- Total crash records analyzed: 9,625
- Total persons involved: 23,820
- Total vehicles involved: 18,288
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: February 2015." Published August 20, 2026. Reporting period: 2015-02-01 to 2015-02-28. Data source: Connecticut Crash Data, Csv Open Data. Available at: https://thatcarhitme.com/crash-data/connecticut/statewide/february-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: 2015-02-01 – 2015-02-28
Generated: August 20, 2026 · All rights reserved
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