SponsoredThatCarHitMe.com

If you're a data point in this report, call us.

We'll evaluate whether you have a case. Free, and no pressure.

(888) 988-8341Free for accident victims

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)

Fatal13fatal crashes0.1%
Serious Injury121serious injury crashes1.2%
Minor Injury874minor injury crashes8.6%
Possible Injury1,388possible injury crashes13.7%
No Injury7,748no injury crashes76.4%

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

Clear6,588 (65.5%)
Rain2,196 (21.8%)
Cloudy727 (7.2%)
Fog, Smog, Smoke285 (2.8%)
Freezing Rain or Freezing Drizzle152 (1.5%)
Sleet or Hail57 (0.6%)
Snow25 (0.2%)
Other17 (0.2%)
Blowing Snow9 (0.1%)
Blowing Sand, Soil, Dirt3 (0.0%)

Source: Connecticut Crash Data · Csv Open Data · 2015-12-01 to 2015-12-31 · Weather condition at time of crash

Lighting

Daylight5,166 (51.5%)
Dark-Lighted3,494 (34.8%)
Dark-Not Lighted982 (9.8%)
Dusk178 (1.8%)
Dawn87 (0.9%)
Dark-Unknown Lighting78 (0.8%)
Other54 (0.5%)

Source: Connecticut Crash Data · Csv Open Data · 2015-12-01 to 2015-12-31 · Lighting condition field

Road Surface

Dry6,563 (65.1%)
Wet3,250 (32.2%)
Slush125 (1.2%)
Ice / Frost80 (0.8%)
Snow37 (0.4%)
Mud, Dirt, Gravel10 (0.1%)
Standing Water8 (0.1%)
Other6 (0.1%)
Moving Water5 (0.0%)
Oil2 (0.0%)

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)

1
FORD1,845 (9.7%)
2
HONDA1,210 (6.3%)
3
HOND1,117 (5.9%)
4
TOYO938 (4.9%)
5
TOYOTA763 (4%)
6
NISS763 (4%)
7
CHEV730 (3.8%)
8
JEEP694 (3.6%)
9
NISSAN684 (3.6%)
10
CHEVROLET481 (2.5%)

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)

Male12,848 (54.2%)
Female10,854 (45.8%)

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

1
Fairfield3,057 (32.4%)
2
New Haven2,457 (26.1%)
3
Hartford2,362 (25%)
4
New London523 (5.5%)
5
Litchfield362 (3.8%)
6
Middlesex290 (3.1%)
7
Tolland231 (2.4%)
8
Windham149 (1.6%)

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

1
Hartford588 (7.5%)
2
Stamford518 (6.6%)
3
Bridgeport517 (6.6%)
4
Waterbury497 (6.3%)
5
New Haven402 (5.1%)
6
Danbury359 (4.6%)
7
Norwalk311 (3.9%)
8
NewHaven246 (3.1%)
9
Greenwich212 (2.7%)

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

1
Not at Intersection6,779 (67.1%)
2
Four-Way Intersection1,645 (16.3%)
3
T-Intersection1,442 (14.3%)
4
Y-Intersection159 (1.6%)
5
Five-Point, or More37 (0.4%)
6
L-Intersection28 (0.3%)
7
Roundabout10 (0.1%)
8
Traffic Circle7 (0.1%)

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

1
Guardrail Face279 (18.3%)
2
Other Fixed Object (wall, building, tunnel, etc.)238 (15.6%)
3
Utility Pole/Light Support193 (12.6%)
4
Curb146 (9.6%)
5
Tree (standing)131 (8.6%)
6
Concrete Traffic Barrier101 (6.6%)
7
Other Post, Pole or Support98 (6.4%)
8
Embankment59 (3.9%)
9
Cable Barrier44 (2.9%)

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

1
Passenger Car12,428 (66.3%)
2
(Sport) Utility Vehicle3,315 (17.7%)
3
Pick Up1,187 (6.3%)
4
Passenger Van601 (3.2%)
5
Medium / Heavy Trucks (more than 10,000 lbs (4,536 kg))401 (2.1%)
6
Other Light Trucks (10,000 lbs (4,536 kg) or less)215 (1.1%)
7
Other206 (1.1%)
8
Cargo Van (10,000 lbs/4,536 kg or less)188 (1%)
9
School Bus70 (0.4%)

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

1
No Contributing Action8,385 (49.3%)
2
Followed Too Closely2,945 (17.3%)
3
Failed to Keep in Proper Lane1,585 (9.3%)
4
Failed to Yield Right-of-Way1,092 (6.4%)
5
Other Contributing Action510 (3%)
6
Improper Backing487 (2.9%)
7
Ran Off Roadway376 (2.2%)
8
Improper Turn348 (2%)
9
Operated Motor Vehicle in Inattentive, Careless, Negligent, or Erratic Manner237 (1.4%)

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

1
Apparently Normal16,112 (95.9%)
2
Under the Influence of Medications/Drugs/Alcohol311 (1.9%)
3
Asleep or Fatigued138 (0.8%)
4
Emotional (depressed, angry, disturbed, etc.)77 (0.5%)
5
Other55 (0.3%)
6
Physically Impaired52 (0.3%)
7
Ill (sick), Fainted51 (0.3%)

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

1
Straight Ahead8,770 (47.1%)
2
Stopped in Traffic2,094 (11.2%)
3
Turning Left1,480 (7.9%)
4
Slowing1,331 (7.1%)
5
Parked1,198 (6.4%)
6
Negotiating a Curve705 (3.8%)
7
Backing651 (3.5%)
8
Changing Lanes622 (3.3%)
9
Turning Right613 (3.3%)

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

1
No Improper Action79 (41.8%)
2
In Roadway Improperly (Standing, Lying, Working, Playing)25 (13.2%)
3
Failure to Yield Right-Of-Way23 (12.2%)
4
Dart/Dash15 (7.9%)
5
Not Visible (Dark Clothing, No Lighting, etc.)15 (7.9%)
6
Other12 (6.3%)
7
Failure to Obey Traffic Signs, Signals, or Officer9 (4.8%)
8
Inattentive (Talking, Eating, etc.)6 (3.2%)
9
Entering/Exiting Parked/Standing Vehicle3 (1.6%)

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

SponsoredThatCarHitMe.com

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.

Advertisement