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Yearly Traffic Safety Analysis

26,223 CRASHES IN
CONNECTICUT, CT
2015

In 2015, Hartford County recorded 26,223 traffic crashes, resulting in 63 fatalities and 9,526 injuries. A significant majority of these incidents occurred under seemingly ideal conditions. Specifically, nearly 70% of crashes happened during daylight hours, with approximately 80% on clear days and 77% on dry road surfaces.

26,223

Total Crash Events

63

Persons Killed

9,526

Persons Injured

11.0%

Hit-and-Run Rate

Note: "Persons Killed" (63) counts individual fatalities across all crash events. "Fatal" in the severity table below (60) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.

Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Aggregate counts from crash, person, and vehicle records

2,881

Hit-and-Run Crashes — 2015

In 2015, 2,881 crashes in Hartford County were classified as hit-and-run incidents, accounting for 11% of all reported crashes. This classification is based on the initial determination made by the responding law enforcement officer at the scene of the collision.

Vulnerable Road User Casualties

In 2015, motorists accounted for the largest number of both fatalities and injuries, with 47 killed and 9,114 injured. Among vulnerable road users, 15 pedestrians were killed and 280 were injured in traffic collisions. Additionally, one cyclist was killed and 122 were injured during the same period.

15

Pedestrians Killed

1

Cyclists Killed

47

Motorists Killed

0

Other Killed

280

Pedestrians Injured

122

Cyclists Injured

9,114

Motorists Injured

10

Other Injured

Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

Crashes in Hartford County during 2015 followed distinct temporal patterns. The highest volume of crashes occurred on Fridays, with 4,525 incidents reported. The afternoon commute proved to be the most hazardous time of day, with the single peak hour being 3 PM, which saw 2,341 crashes. Overall, crash incidents rise during the morning commute, dip in the late morning, and surge between 3 PM and 5 PM.

Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Crash date field aggregated by weekday

Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The majority of crashes in Hartford County in 2015 did not result in physical injury, with 74.1% (19,422) being property-damage-only incidents. Injury crashes, including serious, minor, and possible injuries, accounted for approximately 25.6% of the total. There were 60 fatal crashes, which represents 0.2% of all crashes, and these incidents resulted in a total of 63 fatalities.

Severity is per crash event (most severe injury). 60 fatal crash events resulted in 63 persons killed.

Outcome by Severity (Crash Events)

Fatal60fatal crashes0.2%
Serious Injury299serious injury crashes1.1%
Minor Injury2,601minor injury crashes9.9%
Possible Injury3,841possible injury crashes14.6%
No Injury19,422no injury crashes74.1%

Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Most severe injury per crash record

Road & Environmental Conditions

The majority of crashes in 2015 occurred in favorable environmental conditions. Approximately 70% of incidents (18,373) happened during daylight, 77% (20,169) on dry road surfaces, and 80% (21,029) in clear weather. Crashes in adverse weather included 2,363 in rain and 1,023 in snow, while 3,872 crashes occurred on wet roads.

Weather

Clear21,029 (80.7%)
Rain2,363 (9.1%)
Cloudy1,100 (4.2%)
Snow1,023 (3.9%)
Freezing Rain or Freezing Drizzle204 (0.8%)
Blowing Snow174 (0.7%)
Fog, Smog, Smoke77 (0.3%)
Sleet or Hail37 (0.1%)
Other33 (0.1%)
Severe Crosswinds16 (0.1%)

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

Lighting

Daylight18,373 (70.5%)
Dark-Lighted5,913 (22.7%)
Dark-Not Lighted1,008 (3.9%)
Dusk407 (1.6%)
Dawn208 (0.8%)
Dark-Unknown Lighting104 (0.4%)
Other62 (0.2%)

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

Road Surface

Dry20,169 (77.2%)
Wet3,872 (14.8%)
Snow1,183 (4.5%)
Ice / Frost494 (1.9%)
Slush341 (1.3%)
Other25 (0.1%)
Mud, Dirt, Gravel19 (0.1%)
Standing Water15 (0.1%)
Sand12 (0.0%)
Oil6 (0.0%)

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

Vehicles & Demographics

Analysis of persons involved in crashes shows the 26-34 age group was the most represented, with 11,532 individuals, followed by the 45-54 age group with 9,699 individuals. Among vehicle makes involved in crashes, and combining common abbreviations, Honda was the most frequent (6,177 vehicles), followed by Toyota (5,700) and Ford (4,814).

Top Vehicle Makes (50,107 vehicles)

1
FORD4,814 (9.6%)
2
HONDA3,482 (6.9%)
3
HOND2,695 (5.4%)
4
TOYOTA2,668 (5.3%)
5
NISSAN2,443 (4.9%)
6
NISS1,991 (4%)
7
CHEV1,934 (3.9%)
8
TOYT1,658 (3.3%)
9
JEEP1,548 (3.1%)
10
DODGE1,086 (2.2%)

Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records

5,008 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (64,662 persons with recorded sex)

Male35,219 (54.5%)
Female29,443 (45.5%)

Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Person-level records linked to crash events

Speed Limit Zones

Roadways with a posted speed limit of 25 mph saw the highest number of crashes, with 5,195 incidents, accounting for nearly 20% of the total. The percentage of crashes within a specific speed zone that resulted in a fatality tended to increase with higher speed limits. For example, while 0.15% of crashes in 25 mph zones were fatal, this rate was highest in 45 mph zones, where 0.96% of crashes were fatal.

Fatal crashes by zone: 25 mph: 8 of 5,195 (0.154%) · 30 mph: 7 of 3,182 (0.22%) · 35 mph: 4 of 4,096 (0.098%) · 40 mph: 10 of 2,040 (0.49%) · 45 mph: 7 of 727 (0.963%) · 50 mph: 7 of 2,070 (0.338%) · 55 mph: 7 of 1,272 (0.55%) · 65 mph: 4 of 1,898 (0.211%) · 88 mph: 3 of 2,497 (0.12%) · 99 mph: 3 of 1,157 (0.259%)

Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Posted speed limit at crash location

Top Towns

The geographic distribution of crashes across Hartford County was concentrated in its larger urban centers. The city of Hartford alone accounted for 6,766 crashes, representing approximately 26% of the county's total. Other towns with high crash volumes included Manchester with 1,887 crashes (7.2%) and Bristol with 1,821 crashes (6.9%).

Top Towns

1
Hartford6,766 (25.8%)
2
Manchester1,887 (7.2%)
3
Bristol1,821 (6.9%)
4
East Hartford1,491 (5.7%)
5
West Hartford1,351 (5.2%)
6
New Britain1,294 (4.9%)
7
Farmington1,021 (3.9%)
8
Southington1,015 (3.9%)
9
Wethersfield974 (3.7%)

Showing top 9 of 29 reported. 20 additional (8,603 total) not shown: Enfield, Windsor, Glastonbury, Newington, Berlin, Bloomfield, Plainville, Rocky Hill, South Windsor, Simsbury, Avon, Windsor Locks, East Windsor, Canton, Granby, Suffield, Marlborough, Burlington, East Granby, Hartland.

Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Crash-level records

Road Class

Among crashes where the road class was recorded, Minor Arterials were the most common location, accounting for 905 incidents. Limited-access highways, including Interstates (845 crashes) and Freeways/Expressways (467 crashes), collectively accounted for 1,312 crashes. Local roads were the site of 704 crashes.

Road Class

Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Crash-level records

Route System

Crashes were split between state-maintained and local roadways. State-maintained routes, which include State, Interstate, and US Routes, were the location for 14,114 crashes, representing 56% of incidents where the route system was identified. Local roads accounted for the remaining 44%, with 11,075 crashes.

Route System

Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Crash-level records

Public vs Private Road

The vast majority of crashes occurred on public roadways, totaling 24,892 incidents. A smaller but notable number of crashes, 701, took place on private property such as parking lots or private drives. This represents approximately 2.7% of crashes where roadway ownership was documented.

Rural vs Urban

Based on the available data classifying crash locations, a significant majority occurred in urban areas, with 3,965 incidents. Rural areas accounted for 177 crashes, representing 4.3% of the crashes with a specified rural-urban designation.

Rural vs Urban

Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Crash-level records

Junction Type

A majority of crashes, 17,270 incidents, occurred at locations not classified as intersections. The remaining 8,919 crashes happened at or were related to junctions. Among these, four-way intersections were the most common site, with 4,831 crashes, followed by T-intersections with 3,674 crashes.

Junction Type

1
Not at Intersection17,270 (65.9%)
2
Four-Way Intersection4,831 (18.4%)
3
T-Intersection3,674 (14%)
4
Y-Intersection255 (1%)
5
Five-Point, or More74 (0.3%)
6
L-Intersection61 (0.2%)
7
Traffic Circle14 (0.1%)
8
Roundabout10

Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Crash-level records

Run-off-Road / Fixed-Object Strikes

For crashes where the first harmful event was striking a fixed object, the most frequently hit object was a guardrail face, involved in 599 incidents. This was followed closely by utility poles or light supports, which were struck 570 times. Collisions with utility poles and trees combined accounted for 776 incidents, representing over 22% of these specific run-off-road type crashes.

Run-off-Road / Fixed-Object Strikes

1
Guardrail Face599 (17%)
2
Utility Pole/Light Support570 (16.1%)
3
Other Fixed Object (wall, building, tunnel, etc.)413 (11.7%)
4
Curb398 (11.3%)
5
Concrete Traffic Barrier284 (8%)
6
Tree (standing)207 (5.9%)
7
Other Post, Pole or Support206 (5.8%)
8
Traffic Sign Support143 (4.1%)
9
Embankment121 (3.4%)

Showing top 9 of 22 reported. 13 additional (589 total) not shown: Cable Barrier, Mailbox, Fence, Impact Attenuator/Crash Cushion, Struck by Falling, Shifting Cargo or Anything Set in Motion by Motor Vehicle, Guardrail End, Other Traffic Barrier, Ditch, Bridge Rail, Traffic Signal Support, Bridge Overhead Structure, Bridge Pier or Support, Culvert.

Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Crash-level records

Vehicle Type

Passenger cars were the most common vehicle type involved in crashes, accounting for 32,271 of all vehicles. Sport utility vehicles were the second most common with 8,340 involved, followed by pickup trucks with 3,182. Notably, 1,107 medium or heavy trucks, 707 buses of various types, and 301 motorcycles were also involved in collisions.

Vehicle Type

1
Passenger Car32,271 (65.5%)
2
(Sport) Utility Vehicle8,340 (16.9%)
3
Pick Up3,182 (6.5%)
4
Passenger Van1,787 (3.6%)
5
Medium / Heavy Trucks (more than 10,000 lbs (4,536 kg))1,107 (2.2%)
6
Other529 (1.1%)
7
Other Light Trucks (10,000 lbs (4,536 kg) or less)491 (1%)
8
Cargo Van (10,000 lbs/4,536 kg or less)462 (0.9%)
9
School Bus361 (0.7%)

Showing top 9 of 18 reported. 9 additional (745 total) not shown: Motorcycle, Transit Bus, Other Bus, Moped, Motor Coach, All Terrain Vehicle (ATV), Motor Home, Low Speed Vehicle, Golf Cart.

Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records

Traffic Control Device

The most common scenario for crashes was at locations with no traffic control device, which was noted for 31,942 vehicles. For crashes at controlled locations, traffic signals were the most frequent type, present for 13,702 vehicles involved in collisions. An additional 3,386 vehicles were involved in crashes at locations controlled by a stop sign.

Traffic Control Device

"Other" combines 5 smaller categories (101 records): Warning Sign (36), Marked Uncontrolled Crosswalk (29), Pedestrian Button (15), School Zone Sign/Device (14), Railway Crossing Device (7).

Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records

Vulnerable Road Users & Motorcycles

Among crashes specifically involving a vulnerable road user or motorcyclist, pedestrians were the most frequently involved group with 313 incidents. There were also 141 crashes involving bicyclists and 291 involving motorcyclists. Combined, pedestrians and bicyclists were involved in 454 crashes, representing about 61% of these specific incident types.

Driver Contributing Action

The most commonly cited driver action contributing to a crash was following too closely, attributed to 8,106 drivers, or nearly 17% of all drivers in crashes. The second most frequent action was failing to keep in the proper lane, recorded for 3,891 drivers. Failing to yield the right-of-way was the third most common contributing action, noted for 2,565 drivers.

Driver Contributing Action

1
No Contributing Action23,321 (50.5%)
2
Followed Too Closely8,106 (17.6%)
3
Failed to Keep in Proper Lane3,891 (8.4%)
4
Failed to Yield Right-of-Way2,565 (5.6%)
5
Other Contributing Action1,475 (3.2%)
6
Improper Backing1,143 (2.5%)
7
Ran Off Roadway980 (2.1%)
8
Improper Turn952 (2.1%)
9
Ran Stop Sign711 (1.5%)

Showing top 9 of 19 reported. 10 additional (3,027 total) not shown: Operated Motor Vehicle in Inattentive, Careless, Negligent, or Erratic Manner, Ran Red Light, Improper Passing, 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, Wrong Side or Wrong Way, Disregarded Other Traffic Sign, Disregarded Other Road Markings, Overtaking Cyclist.

Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Person-level records linked to crash events

Driver Condition

While the majority of drivers were recorded as being in apparently normal condition, several impairing conditions were noted. The most frequent was driving under the influence of medications, drugs, or alcohol, which was a factor for 785 drivers. Driver fatigue or falling asleep was cited for 320 drivers, and an emotional state was a factor for another 279 drivers.

Driver Condition

1
Apparently Normal43,435 (95.8%)
2
Under the Influence of Medications/Drugs/Alcohol785 (1.7%)
3
Asleep or Fatigued320 (0.7%)
4
Emotional (depressed, angry, disturbed, etc.)279 (0.6%)
5
Other218 (0.5%)
6
Physically Impaired159 (0.4%)
7
Ill (sick), Fainted137 (0.3%)

Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Person-level records linked to crash events

Pre-Crash Driver Action

The most common pre-crash action for vehicles involved was traveling straight ahead, which was the case for 23,896 vehicles, or 47.7% of the total. The second most frequent situation was a vehicle being stopped in traffic, accounting for 5,869 vehicles. Turning left was the third most common pre-crash maneuver, recorded for 3,725 vehicles.

Pre-Crash Driver Action

1
Straight Ahead23,896 (48.4%)
2
Stopped in Traffic5,869 (11.9%)
3
Turning Left3,725 (7.5%)
4
Slowing3,654 (7.4%)
5
Parked2,702 (5.5%)
6
Turning Right1,803 (3.7%)
7
Changing Lanes1,701 (3.4%)
8
Negotiating a Curve1,643 (3.3%)
9
Backing1,528 (3.1%)

Showing top 9 of 17 reported. 8 additional (2,828 total) not shown: Overtaking/Passing, Other, Entering Traffic Lane, Leaving Traffic Lane, Making U-Turn, Wrong way (or Wrong Side), Overtaking/Passing Cyclist, Traveling in Bike Lane.

Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records

Point of Impact

The front of the vehicle was the most common point of impact, recorded as "Sector 12 (North)" for 15,295 vehicles, representing 30.5% of impacts. The rear of the vehicle, "Sector 6 (South)," was the second most frequent impact point, involved in 10,686 collisions, or 21.3% of the total.

Point of Impact

"Other" combines 9 smaller categories (7,431 records): Sector 2 (NorthEast) in the 12-point Clock Diagram (1,605), Sector 9 (West) in the 12-point Clock Diagram (1,407), Sector 3 (East) in the 12-point Clock Diagram (1,350), Sector 8 (SouthWest) in the 12-point Clock Diagram (1,094), Sector 4 (SouthEast) in the 12-point Clock Diagram (1,049), Non-Collision (406), Top (356), Undercarriage (118), Cargo loss (46).

Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records

Pedestrian/Cyclist Action

Among pedestrians involved in crashes where their action was documented, 231 were determined to have taken "No Improper Action." For those with contributing actions, the most common was "Failure to Yield Right-Of-Way," noted in 51 cases. This was followed by "In Roadway Improperly" with 43 cases and "Dart/Dash" with 41 cases.

Pedestrian/Cyclist Action

1
No Improper Action231 (48.8%)
2
Failure to Yield Right-Of-Way51 (10.8%)
3
In Roadway Improperly (Standing, Lying, Working, Playing)43 (9.1%)
4
Dart/Dash41 (8.7%)
5
Failure to Obey Traffic Signs, Signals, or Officer27 (5.7%)
6
Other27 (5.7%)
7
Not Visible (Dark Clothing, No Lighting, etc.)16 (3.4%)
8
Wrong-Way Riding or Walking11 (2.3%)
9
Entering/Exiting Parked/Standing Vehicle11 (2.3%)

Showing top 9 of 14 reported. 5 additional (15 total) not shown: Inattentive (Talking, Eating, etc.), Disabled Vehicle Related (Working on, Pushing, Leaving/Approaching), Improper Turn/Merge, Use of Electronic Device, Improper Passing.

Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Non-motorist records linked to crash events

Manner of Collision

The most prevalent type of collision was a front-to-rear crash, which accounted for 10,278 incidents, or 39.2% of all crashes. Angle collisions were the second most common type, with 5,288 incidents, representing 20.2% of the total. Sideswipes in the same direction were the third most frequent, occurring in 3,617 crashes.

Manner of Collision

"Other" combines 1 smaller categories (206 records): Rear to rear (206).

Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Crash-level records

Person Type

Of the 68,494 individuals involved in crashes, drivers were the largest group, accounting for 47,937 people, or nearly 70% of the total. Passengers were the next largest group with 17,052 individuals. The data also includes 349 pedestrians and 144 bicyclists who were involved in these incidents.

Person Type

Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Crash-level records

Person Injury Severity

Out of 68,494 persons involved in crashes, a total of 9,526 sustained some level of injury, representing 13.9% of all individuals. This includes 373 serious injuries, 3,374 minor injuries, and 5,779 possible injuries. A total of 63 individuals suffered fatal injuries.

Person Injury Severity

Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Crash-level records

Occupant Safety Equipment

Safety equipment usage was recorded for many vehicle occupants, with 49,908 reported to have used a shoulder and lap belt. Conversely, 1,224 occupants were documented as not using any form of restraint. Child restraints, including forward-facing, rear-facing, and booster seats, were used by a combined 1,840 occupants.

Occupant Safety Equipment

"Other" combines 3 smaller categories (594 records): Lap Belt Only Used (232), Booster Seat (203), Child Restraint, Type Unknown (159).

Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Person-level records linked to crash events

Vehicles Per Crash

The vast majority of crashes, 20,029 incidents or 76.4%, involved two vehicles. Single-vehicle crashes were the next most common category, with 4,474 incidents, making up 17.1% of the total. There were also several multi-vehicle pile-ups, including one crash involving 9 vehicles and another involving 10 vehicles.

Vehicles Per Crash

"Other" combines 1 smaller categories (1 records): 10 (1).

Source: Connecticut Crash Data · Csv Open Data · 2015-01-01 to 2015-12-31 · Crash-level records

Data Sources & Methodology

Primary Data Source

All crash data in this report is sourced from Connecticut Crash Data, accessed programmatically via the Csv Open Data API (SODA). This dataset contains official police-reported motor vehicle traffic crash records maintained by the reporting jurisdiction's law enforcement agency. Records are published to the open data portal by the municipality and are subject to the portal's terms of use.

Data Retrieval

  • Access method: Csv Open Data API (SoQL queries)
  • Data format: Structured JSON via REST API
  • Record types queried: Crash events, person records, and vehicle unit records
  • Date filter applied: 2015-01-01 through 2015-12-31
  • Report generated: August 21, 2026

Data Coverage

  • Reporting period: 2015-01-01 through 2015-12-31 (365 days)
  • Geographic scope: connecticut, CT
  • Total crash records analyzed: 26,223
  • Total persons involved: 68,494
  • Total vehicles involved: 50,107

Analytical Methodology

  • Severity classification: Uses the KABCO injury scale (K=Fatal, A=Incapacitating injury, B=Non-incapacitating injury, C=Possible injury, O=No injury/property damage only), the standard classification in U.S. Model Minimum Uniform Crash Criteria (MMUCC). Severity is assigned per crash event based on the most severe injury in that crash. A single fatal crash (K) may involve multiple fatalities; therefore the "Persons Killed" count in the headline KPIs may differ from the "Fatal" crash count in the severity breakdown.
  • Contributing factors: Reflect the officer-determined primary contributory cause recorded at the time of the crash report. These are preliminary determinations and may not reflect final investigation findings.
  • Hit-and-run classification: Based on the hit-and-run indicator field in the official crash report, as determined by the responding officer at the scene.
  • Temporal analysis: Day-of-week and hour-of-day distributions are computed from the crash date/time timestamp in each record.
  • Demographics: Age and sex distributions are drawn from person-level records linked to each crash event. A single crash may involve multiple persons.
  • Vehicle data: Make information is drawn from vehicle unit records linked to each crash event.
  • AI commentary: Narrative sections are generated by Google Gemini (large language model) based on the structured data. Commentary is descriptive, not predictive, and should not be interpreted as expert opinion.

Limitations & Disclaimers

  • Only crashes reported to and documented by law enforcement are included. Minor incidents, unreported crashes, and near-misses are not captured in this dataset.
  • Data reflects conditions at the time of the initial police report and may be subject to subsequent corrections, reclassifications, or supplements by the reporting agency.
  • Open data portal records may experience a publication lag - recently occurring crashes may not yet appear in the dataset at the time of report generation.
  • AI-generated commentary is produced by a large language model and is intended to highlight patterns in the data. It does not constitute legal, medical, or professional analysis.
  • Percentages are calculated from reported data and are subject to rounding.

Non-Affiliation Disclosure

This report is produced independently by ThatCarHitMe.com (Injuria.ai). It is not affiliated with, endorsed by, or produced in partnership with any law enforcement agency, municipal government, state department of transportation, or the National Highway Traffic Safety Administration (NHTSA). Data is sourced from publicly available government open data portals.

Data License

The underlying crash data is provided under the municipality's Open Data Terms of Use and is made available to the public for unrestricted use. This analysis and report is © 2026 Injuria.ai and may be cited with attribution using the suggested citation below.

Corrections & Feedback

If you believe any data in this report is inaccurate or have questions about our methodology, please contact: data@injuria.ai. We are committed to accuracy and will issue corrections promptly.

Suggested Citation

ThatCarHitMe.com (Injuria.ai). "connecticut, CT Crash Intelligence Report: 2015." Published August 21, 2026. Reporting period: 2015-01-01 to 2015-12-31. Data source: Connecticut Crash Data, Csv Open Data. Available at: https://thatcarhitme.com/crash-data/connecticut/statewide/2015-annual-report

About the Publisher

ThatCarHitMe.com is a crash data intelligence platform developed by Injuria.ai, a legal technology company specializing in traffic safety analytics. We aggregate and analyze publicly available government crash data to produce structured intelligence reports for communities, researchers, journalists, and legal professionals. Our reports combine programmatic data retrieval from official open data portals with AI-assisted narrative analysis.

Questions about this report's data or methodology: data@injuria.ai

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