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CRASH INTELLIGENCE REPORT · CONNECTICUT, CT · DECEMBER 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/december-2015-report
Monthly Traffic Safety Analysis
10,144 CRASHES IN
CONNECTICUT, CT
DECEMBER 2015
In December 2015, Connecticut recorded 10,144 traffic crashes, resulting in 14 fatalities and 3,286 injuries. The most common type of collision was front-to-rear, which accounted for 36.9% of all incidents. Data indicates that a majority of crashes (76.4%) did not result in any physical injuries.
10,144
Total Crash Events
14
Persons Killed
3,286
Persons Injured
11.6%
Hit-and-Run Rate
Note: "Persons Killed" (14) counts individual fatalities across all crash events. "Fatal" in the severity table below (13) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Connecticut Crash Data · Csv Open Data · 2015-12-01 to 2015-12-31 · Aggregate counts from crash, person, and vehicle records
1,178
Hit-and-Run Crashes — December 2015
In this period, 1,178 crashes were classified as hit-and-run incidents, accounting for 11.6% of all recorded collisions. This classification is based on the initial determination made by the responding law enforcement officer at the scene.
Vulnerable Road User Casualties
Motor vehicle occupants represented the largest group of individuals killed or injured, with 9 fatalities and 3,112 injuries. Among vulnerable road users, pedestrians were significantly impacted, with 5 individuals killed and 157 injured. No cyclists were killed during this period, but 17 sustained injuries in crashes.
5
Pedestrians Killed
0
Cyclists Killed
9
Motorists Killed
157
Pedestrians Injured
17
Cyclists Injured
3,112
Motorists Injured
Source: Connecticut Crash Data · Csv Open Data · 2015-12-01 to 2015-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
Crash occurrences peaked midweek, with Wednesday recording the highest number of incidents (1,966). The most frequent time for crashes was the 3 p.m. hour, with 918 events, part of a broader afternoon peak between 2 p.m. and 5 p.m. Overall, 5,166 crashes (51.0%) occurred during daylight hours, while 4,476 (44.1%) happened in dark conditions, whether on lighted or unlighted roads.
Source: Connecticut Crash Data · Csv Open Data · 2015-12-01 to 2015-12-31 · Crash date field aggregated by weekday
Source: Connecticut Crash Data · Csv Open Data · 2015-12-01 to 2015-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The majority of crashes (76.4%) were property-damage-only, resulting in no reported injuries. Injury-related crashes, including those with possible, minor, or serious injuries, accounted for 23.5% of all incidents. There were 13 fatal crashes recorded, which resulted in a total of 14 fatalities.
Severity is per crash event (most severe injury). 13 fatal crash events resulted in 14 persons killed.
Outcome by Severity (Crash Events)
Source: Connecticut Crash Data · Csv Open Data · 2015-12-01 to 2015-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Connecticut Crash Data · Csv Open Data · 2015-12-01 to 2015-12-31 · Most severe injury per crash record
Road & Environmental Conditions
The majority of crashes occurred in favorable conditions, with 65.0% of incidents happening in clear weather and 64.7% on dry road surfaces. Over half of all crashes (51.0%) took place during daylight hours. Adverse conditions still played a role, with 21.6% of crashes occurring during rain and 32.0% on wet roads.
Weather
Source: Connecticut Crash Data · Csv Open Data · 2015-12-01 to 2015-12-31 · Weather condition at time of crash
Lighting
Source: Connecticut Crash Data · Csv Open Data · 2015-12-01 to 2015-12-31 · Lighting condition field
Road Surface
Source: Connecticut Crash Data · Csv Open Data · 2015-12-01 to 2015-12-31 · Road surface condition field
Vehicles & Demographics
Analysis of persons involved in crashes shows the most represented age groups were 26-34 years (4,136 people), 45-54 years (3,669 people), and 35-44 years (3,430 people). Among the 19,086 vehicles involved, the most frequent makes recorded were Ford (1,845), Honda (appearing as "HONDA" with 1,210 and "HOND" with 1,117), and Toyota (appearing as "TOYO" with 938).
Top Vehicle Makes (19,086 vehicles)
Source: Connecticut Crash Data · Csv Open Data · 2015-12-01 to 2015-12-31 · Vehicle unit records
1,673 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (23,702 persons with recorded sex)
Source: Connecticut Crash Data · Csv Open Data · 2015-12-01 to 2015-12-31 · Person-level records linked to crash events
Speed Limit Zones
The speed zone with the highest number of crashes was 25 mph, accounting for 3,030 incidents or 29.9% of the total. While lower speed zones saw more crashes, the percentage of crashes within a zone that were fatal tended to increase with the speed limit. For instance, 0.033% of crashes in 25 mph zones were fatal, compared to 0.408% in 65 mph zones. The highest fatality rate was observed in the 50 mph zone, where 0.604% of crashes resulted in a death.
Fatal crashes by zone: 25 mph: 1 of 3,030 (0.033%) · 30 mph: 2 of 899 (0.222%) · 35 mph: 1 of 1,290 (0.078%) · 40 mph: 1 of 676 (0.148%) · 45 mph: 1 of 379 (0.264%) · 50 mph: 2 of 331 (0.604%) · 55 mph: 2 of 906 (0.221%) · 65 mph: 2 of 490 (0.408%) · 88 mph: 1 of 607 (0.165%)
Source: Connecticut Crash Data · Csv Open Data · 2015-12-01 to 2015-12-31 · Posted speed limit at crash location
Top Counties
Geographically, crashes were concentrated in three counties, which together accounted for 77.6% of all incidents statewide. Fairfield County had the highest volume with 3,057 crashes (30.1% of the total), followed by New Haven County with 2,457 crashes (24.2%) and Hartford County with 2,362 crashes (23.3%).
Top Counties
Source: Connecticut Crash Data · Csv Open Data · 2015-12-01 to 2015-12-31 · Crash-level records
Top Towns
The highest concentration of crashes at the municipal level occurred in the state's largest cities. Hartford led with 588 crashes (5.8% of the state total), followed by Stamford (518 crashes, 5.1%), Bridgeport (517 crashes, 5.1%), Waterbury (497 crashes, 4.9%), and New Haven (402 crashes, 4.0%).
Top Towns
Showing top 9 of 50 reported. 41 additional (4,238 total) not shown: Manchester, Fairfield, Milford, Hamden, Meriden, Stratford, Bristol, Trumbull, Wallingford, Middletown, New Britain, Westport, Orange, West Haven, East Hartford, Windsor, Norwich, Torrington, Newington, Wethersfield, Farmington, Enfield, Shelton, Plainville, West Hartford, Darien, Cheshire, Southington, Vernon, Naugatuck, Newtown, Berlin, WestHaven, Groton, North Haven, Waterford, Branford, Bloomfield, Glastonbury, EastHartford, WestHartford.
Source: Connecticut Crash Data · Csv Open Data · 2015-12-01 to 2015-12-31 · Crash-level records
Road Class
Among crashes where roadway functional class was identified, Minor Arterial roads saw the highest number of incidents (369), followed closely by Local roads (346) and Collector roads (343). Limited-access highways, including Interstates and Freeways/Expressways, collectively accounted for 526 of these crashes.
Road Class
Source: Connecticut Crash Data · Csv Open Data · 2015-12-01 to 2015-12-31 · Crash-level records
Route System
Analysis of the route system shows that 58.3% of crashes with this data (5,624 incidents) occurred on state-maintained roadways, including State, Interstate, and US Routes. The remaining 41.7% of these crashes (4,015 incidents) took place on local roads under municipal jurisdiction.
Route System
Source: Connecticut Crash Data · Csv Open Data · 2015-12-01 to 2015-12-31 · Crash-level records
Public vs Private Road
Of the crashes where roadway ownership was recorded, the vast majority (9,471) occurred on public roads. A smaller but notable number of incidents, 430 crashes or 4.3% of this subset, took place on private property such as parking lots or private drives.
Rural vs Urban
In the subset of crashes where the location was classified, 1,562 occurred in urban areas. Rural areas accounted for 238 crashes, representing 13.2% of the incidents in this classification.
Rural vs Urban
Source: Connecticut Crash Data · Csv Open Data · 2015-12-01 to 2015-12-31 · Crash-level records
Junction Type
A majority of crashes, 6,779 incidents, occurred at locations not classified as intersections. Of the 3,328 crashes that did happen at a junction, four-way intersections were the most common site (1,645 incidents), followed by T-intersections (1,442 incidents).
Junction Type
Source: Connecticut Crash Data · Csv Open Data · 2015-12-01 to 2015-12-31 · Crash-level records
Run-off-Road / Fixed-Object Strikes
Among crashes involving a collision with a fixed object, the most frequently struck objects were guardrail faces (279 incidents), other fixed objects like walls or buildings (238), and utility or light poles (193). Collisions with poles and trees combined accounted for 324 of these run-off-road crashes.
Run-off-Road / Fixed-Object Strikes
Showing top 9 of 22 reported. 13 additional (238 total) not shown: Mailbox, Guardrail End, Traffic Sign Support, Fence, Ditch, Other Traffic Barrier, Struck by Falling, Shifting Cargo or Anything Set in Motion by Motor Vehicle, Impact Attenuator/Crash Cushion, Bridge Pier or Support, Traffic Signal Support, Bridge Rail, Bridge Overhead Structure, Culvert.
Source: Connecticut Crash Data · Csv Open Data · 2015-12-01 to 2015-12-31 · Crash-level records
Vehicle Type
Passenger cars were the most common vehicle type involved in crashes, accounting for 12,428 vehicles, followed by Sport Utility Vehicles (3,315) and Pick Up trucks (1,187). Medium and heavy trucks were involved in 401 incidents, while motorcycles were involved in 35.
Vehicle Type
Showing top 9 of 17 reported. 8 additional (125 total) not shown: Transit Bus, Motorcycle, Other Bus, Moped, Motor Coach, All Terrain Vehicle (ATV), Motor Home, Low Speed Vehicle.
Source: Connecticut Crash Data · Csv Open Data · 2015-12-01 to 2015-12-31 · Vehicle unit records
Traffic Control Device
The most common traffic control scenario for vehicles involved in crashes was the absence of any control device, recorded for 12,578 vehicles. Traffic signals were present for 4,755 vehicles involved in collisions, while stop signs were the control device for another 1,367.
Traffic Control Device
"Other" combines 5 smaller categories (56 records): Person (including flagger, law enforcement, crossing guard, etc.) (27), Marked Uncontrolled Crosswalk (16), Pedestrian Button (8), Railway Crossing Device (4), School Zone Sign/Device (1).
Source: Connecticut Crash Data · Csv Open Data · 2015-12-01 to 2015-12-31 · Vehicle unit records
Vulnerable Road Users & Motorcycles
Among crashes involving vulnerable road users or motorcyclists, pedestrians were the most frequent group, with 174 incidents. Combined, pedestrians and bicyclists accounted for 197 crashes, representing 85.7% of collisions in this specific category. Motorcyclists were involved in 33 crashes.
Driver Contributing Action
The most common contributing driver action cited was "Followed Too Closely," which was noted for 2,945 drivers. Other frequent actions included "Failed to Keep in Proper Lane" (1,585 drivers) and "Failed to Yield Right-of-Way" (1,092 drivers).
Driver Contributing Action
Showing top 9 of 19 reported. 10 additional (1,043 total) not shown: Ran Stop Sign, Improper Passing, Ran Red Light, Swerved or Avoided Due to Wind, Slippery Surface, Motor Vehicle, Object, Non-Motorist in Roadway, etc., 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 · 2015-12-01 to 2015-12-31 · Person-level records linked to crash events
Driver Condition
While most drivers were recorded as "Apparently Normal," several hundred were noted to have a contributing condition. Driving "Under the Influence of Medications/Drugs/Alcohol" was the most cited condition, attributed to 311 drivers. This was followed by "Asleep or Fatigued" (138 drivers) and "Emotional" (77 drivers).
Driver Condition
Source: Connecticut Crash Data · Csv Open Data · 2015-12-01 to 2015-12-31 · Person-level records linked to crash events
Pre-Crash Driver Action
The most common pre-crash action for vehicles was moving "Straight Ahead," which was the case for 8,770 vehicles, or 46.0% of the total. The next most frequent actions were being "Stopped in Traffic" (2,094 vehicles) and "Turning Left" (1,480 vehicles).
Pre-Crash Driver Action
Showing top 9 of 16 reported. 7 additional (1,166 total) not shown: Entering Traffic Lane, Overtaking/Passing, Other, Leaving Traffic Lane, Making U-Turn, Wrong way (or Wrong Side), Overtaking/Passing Cyclist.
Source: Connecticut Crash Data · Csv Open Data · 2015-12-01 to 2015-12-31 · Vehicle unit records
Point of Impact
The front of the vehicle was the most common point of impact, recorded as "Sector 12 (North)" for 5,647 vehicles, representing 29.6% of all vehicles in the dataset. The second most frequent impact point was the rear of the vehicle, or "Sector 6 (South)," which was recorded for 3,829 vehicles (20.1%).
Point of Impact
"Other" combines 9 smaller categories (2,812 records): Sector 2 (NorthEast) in the 12-point Clock Diagram (640), Sector 9 (West) in the 12-point Clock Diagram (553), Sector 3 (East) in the 12-point Clock Diagram (488), Sector 8 (SouthWest) in the 12-point Clock Diagram (437), Sector 4 (SouthEast) in the 12-point Clock Diagram (413), Non-Collision (118), Top (109), Undercarriage (40), Cargo loss (14).
Source: Connecticut Crash Data · Csv Open Data · 2015-12-01 to 2015-12-31 · Vehicle unit records
Pedestrian/Cyclist Action
Among the 187 pedestrians involved in crashes, 79 were determined to have taken "No Improper Action." For those with a contributing action noted, the most common were "In Roadway Improperly" (25 pedestrians), "Failure to Yield Right-Of-Way" (23 pedestrians), and "Dart/Dash" into the road (15 pedestrians).
Pedestrian/Cyclist Action
Showing top 9 of 11 reported. 2 additional (2 total) not shown: Disabled Vehicle Related (Working on, Pushing, Leaving/Approaching), Improper Turn/Merge.
Source: Connecticut Crash Data · Csv Open Data · 2015-12-01 to 2015-12-31 · Non-motorist records linked to crash events
Manner of Collision
The most frequent type of collision was "Front to rear," which accounted for 3,739 crashes, or 36.9% of all incidents. This was followed by "Angle" collisions (2,016 crashes, 19.9%) and "Sideswipe, same direction" collisions (1,361 crashes, 13.4%).
Manner of Collision
"Other" combines 1 smaller categories (84 records): Rear to rear (84).
Source: Connecticut Crash Data · Csv Open Data · 2015-12-01 to 2015-12-31 · Crash-level records
Person Type
Of the 25,090 individuals involved in crashes, the vast majority were drivers (18,085 people, or 72.1%). Passengers made up the next largest group with 5,716 individuals (22.8%). The data also includes 187 pedestrians and 24 bicyclists.
Person Type
Source: Connecticut Crash Data · Csv Open Data · 2015-12-01 to 2015-12-31 · Crash-level records
Person Injury Severity
Across all 25,090 people involved in crashes, 14 individuals sustained fatal injuries (0.06%). A total of 3,286 people, or 13.1% of all participants, suffered some level of injury, ranging from possible to serious. The majority of people involved, 20,870 individuals, were not injured.
Person Injury Severity
Source: Connecticut Crash Data · Csv Open Data · 2015-12-01 to 2015-12-31 · Crash-level records
Occupant Safety Equipment
The most commonly used safety equipment was a shoulder and lap belt, reported for 18,105 vehicle occupants. A total of 482 occupants were recorded as using no restraint system at the time of the crash, representing 2.3% of individuals for whom restraint use was specified.
Occupant Safety Equipment
"Other" combines 3 smaller categories (175 records): Booster Seat (69), Other (54), Child Restraint, Type Unknown (52).
Source: Connecticut Crash Data · Csv Open Data · 2015-12-01 to 2015-12-31 · Person-level records linked to crash events
Vehicles Per Crash
The majority of crashes, 7,615 incidents or 75.1%, involved two vehicles. Single-vehicle crashes accounted for 1,915 incidents, or 18.9% of the total. Multi-vehicle collisions involving three or more vehicles were less common, with 560 three-vehicle crashes being the largest subset.
Vehicles Per Crash
Source: Connecticut Crash Data · Csv Open Data · 2015-12-01 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: 2015-12-01 through 2015-12-31
- Report generated: August 20, 2026
Data Coverage
- Reporting period: 2015-12-01 through 2015-12-31 (31 days)
- Geographic scope: connecticut, CT
- Total crash records analyzed: 10,144
- Total persons involved: 25,090
- Total vehicles involved: 19,086
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: December 2015." Published August 20, 2026. Reporting period: 2015-12-01 to 2015-12-31. Data source: Connecticut Crash Data, Csv Open Data. Available at: https://thatcarhitme.com/crash-data/connecticut/statewide/december-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: 2015-12-01 – 2015-12-31
Generated: August 20, 2026 · All rights reserved
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