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Yearly Traffic Safety Analysis

2,710 CRASHES IN
CONNECTICUT, CT
2015

In 2015, Tolland County recorded 2,710 motor vehicle crashes, resulting in 17 fatalities and 826 injuries. These incidents involved 6,562 people and 4,750 vehicles. A notable finding is that the vast majority of crashes (76.9%) resulted in no injuries, involving only property damage.

2,710

Total Crash Events

17

Persons Killed

826

Persons Injured

8.5%

Hit-and-Run Rate

Note: "Persons Killed" (17) counts individual fatalities across all crash events. "Fatal" in the severity table below (15) 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

230

Hit-and-Run Crashes — 2015

There were 230 crashes classified as hit-and-run incidents, representing 8.5% of all crashes in this period. This classification is based on the initial determination by the responding law enforcement officer at the scene of the crash.

Vulnerable Road User Casualties

Motor vehicle occupants constituted the largest group of casualties, with 16 individuals killed and 802 injured. Among vulnerable road users, one pedestrian was killed and 17 were injured. While no bicyclists were killed, seven sustained injuries.

1

Pedestrians Killed

0

Cyclists Killed

16

Motorists Killed

17

Pedestrians Injured

7

Cyclists Injured

802

Motorists 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

Crash frequencies peaked on Fridays, with 462 incidents, and during the 3 p.m. hour, which saw 225 crashes. The data indicates that most crashes occurred during daylight hours, with 1,857 incidents (68.5%) happening in daylight conditions.

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, 76.9% or 2,084 incidents, resulted in no injuries. Crashes involving injuries accounted for 22.6% of the total, distributed among possible (10.3%), minor (11.7%), and serious (0.6%) injury categories. There were 15 fatal crashes, which resulted in a total of 17 fatalities, as a single crash can involve more than one death.

Severity is per crash event (most severe injury). 15 fatal crash events resulted in 17 persons killed.

Outcome by Severity (Crash Events)

Fatal15fatal crashes0.6%
Serious Injury16serious injury crashes0.6%
Minor Injury317minor injury crashes11.7%
Possible Injury278possible injury crashes10.3%
No Injury2,084no injury crashes76.9%

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

A significant majority of crashes occurred in favorable conditions. Approximately 74.8% of incidents happened in clear weather, 69.9% on dry road surfaces, and 68.5% during daylight hours. Crashes in adverse weather included 210 in rain and 193 in snow.

Weather

Clear2,028 (76.0%)
Rain210 (7.9%)
Snow193 (7.2%)
Cloudy112 (4.2%)
Blowing Snow47 (1.8%)
Freezing Rain or Freezing Drizzle40 (1.5%)
Fog, Smog, Smoke15 (0.6%)
Sleet or Hail12 (0.4%)
Other9 (0.3%)
Severe Crosswinds3 (0.1%)

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

Lighting

Daylight1,857 (69.1%)
Dark-Lighted399 (14.8%)
Dark-Not Lighted357 (13.3%)
Dusk37 (1.4%)
Dawn25 (0.9%)
Dark-Unknown Lighting12 (0.4%)
Other2 (0.1%)

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

Road Surface

Dry1,896 (70.2%)
Wet376 (13.9%)
Snow252 (9.3%)
Ice / Frost93 (3.4%)
Slush53 (2.0%)
Mud, Dirt, Gravel18 (0.7%)
Sand7 (0.3%)
Other2 (0.1%)
Standing Water2 (0.1%)
Oil1 (0.0%)

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

Vehicles & Demographics

Among all persons involved in crashes, the 26-34 age group was the most represented with 1,022 individuals, followed by the 21-25 age group (969) and the 16-20 age group (939). The most frequent vehicle makes involved were Ford (557), Honda (447), and Chevrolet (290).

Top Vehicle Makes (4,750 vehicles)

1
FORD557 (11.7%)
2
HOND447 (9.4%)
3
CHEV290 (6.1%)
4
TOYT273 (5.7%)
5
NISS269 (5.7%)
6
HYUN193 (4.1%)
7
JEEP189 (4%)
8
SUBA186 (3.9%)
9
DODG182 (3.8%)
10
TOYO180 (3.8%)

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

272 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (6,254 persons with recorded sex)

Male3,509 (56.1%)
Female2,745 (43.9%)

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

Speed Limit Zones

The speed limit zone with the highest number of crashes was 35 mph, where 560 incidents occurred. The highest fatality rate was observed in the 50 mph zone, where 10.2% of the 49 crashes in that zone were fatal. Crashes in 30 mph and 65 mph zones had fatality rates of 0.44% and 0.42% respectively.

Fatal crashes by zone: 30 mph: 2 of 454 (0.441%) · 35 mph: 2 of 560 (0.357%) · 40 mph: 3 of 361 (0.831%) · 45 mph: 2 of 322 (0.621%) · 50 mph: 5 of 49 (10.204%) · 65 mph: 1 of 236 (0.424%)

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

Top Towns

The highest crash volumes within the county were concentrated in a few key towns. Vernon led with 729 crashes, followed by Mansfield with 501 and Tolland with 294. Together, these three municipalities accounted for 1,524 crashes, representing over 56% of the county's total.

Top Towns

1
Vernon729 (26.9%)
2
Mansfield501 (18.5%)
3
Tolland294 (10.8%)
4
Coventry208 (7.7%)
5
Ellington194 (7.2%)
6
Stafford151 (5.6%)
7
Somers138 (5.1%)
8
Willington108 (4%)
9
Bolton103 (3.8%)

Showing top 9 of 13 reported. 4 additional (284 total) not shown: Hebron, Columbia, Andover, Union.

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, Collector roads accounted for the highest number of incidents at 249. Principal Arterial roads saw 118 crashes, while limited-access highways, combining Interstates (112) and Freeways/Expressways (12), accounted for a total of 124 crashes.

Road Class

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

Route System

Analysis of the route system shows that state-maintained roadways accounted for the majority of crashes. A combined 1,860 crashes occurred on State, Interstate, and US Routes. In contrast, 713 crashes were reported on local road systems.

Route System

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

Public vs Private Road

Of the crashes where roadway ownership was documented, the vast majority (2,548) occurred on public roads. A smaller but notable number of incidents, 79 crashes, took place on private roads or properties such as parking lots and private drives.

Rural vs Urban

In crashes where the geographic context was specified, urban areas saw a higher volume of incidents, with 518 crashes. Rural areas accounted for 277 crashes in the dataset.

Rural vs Urban

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

Junction Type

The majority of crashes, 1,859 incidents, occurred at locations that were not at an intersection. For crashes that did happen at junctions, T-intersections were the most common site with 426 incidents, followed by four-way intersections with 350.

Junction Type

1
Not at Intersection1,859 (68.7%)
2
T-Intersection426 (15.7%)
3
Four-Way Intersection350 (12.9%)
4
Y-Intersection54 (2%)
5
Roundabout8 (0.3%)
6
L-Intersection6 (0.2%)
7
Five-Point, or More2 (0.1%)

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

Run-off-Road / Fixed-Object Strikes

Among crashes where the first harmful event was striking a fixed object, the most frequently hit objects were utility poles or light supports (112 incidents), trees (96), and guardrail faces (85). Combined, collisions with poles and trees accounted for 208 of these run-off-road crashes.

Run-off-Road / Fixed-Object Strikes

1
Utility Pole/Light Support112 (16%)
2
Tree (standing)96 (13.7%)
3
Guardrail Face85 (12.1%)
4
Other Fixed Object (wall, building, tunnel, etc.)83 (11.9%)
5
Embankment64 (9.1%)
6
Other Post, Pole or Support52 (7.4%)
7
Curb48 (6.9%)
8
Traffic Sign Support32 (4.6%)
9
Mailbox22 (3.1%)

Showing top 9 of 21 reported. 12 additional (106 total) not shown: Guardrail End, Cable Barrier, Fence, Ditch, Other Traffic Barrier, Struck by Falling, Shifting Cargo or Anything Set in Motion by Motor Vehicle, Concrete Traffic Barrier, Culvert, Impact Attenuator/Crash Cushion, Traffic Signal Support, Bridge Overhead Structure, Bridge Rail.

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

Vehicle Type

Passenger cars were the most prevalent vehicle type involved in collisions, with 3,082 such vehicles recorded. Following passenger cars were (Sport) Utility Vehicles with 658 involved, and Pick Up trucks with 408. Medium to heavy trucks were involved in 138 crashes, while motorcycles were involved in 50.

Vehicle Type

1
Passenger Car3,082 (65.9%)
2
(Sport) Utility Vehicle658 (14.1%)
3
Pick Up408 (8.7%)
4
Medium / Heavy Trucks (more than 10,000 lbs (4,536 kg))138 (3%)
5
Passenger Van115 (2.5%)
6
Other70 (1.5%)
7
Other Light Trucks (10,000 lbs (4,536 kg) or less)69 (1.5%)
8
Motorcycle50 (1.1%)
9
Cargo Van (10,000 lbs/4,536 kg or less)39 (0.8%)

Showing top 9 of 17 reported. 8 additional (46 total) not shown: School Bus, Transit Bus, Moped, Other Bus, Low Speed Vehicle, All Terrain Vehicle (ATV), Motor Home, Motor Coach.

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

Traffic Control Device

Of the 4,750 vehicles involved in crashes, a majority (3,305) were in areas with no traffic control device present. For incidents at controlled locations, traffic signals were the most common type, present for 860 vehicles involved in crashes, followed by stop signs for 386 vehicles.

Traffic Control Device

"Other" combines 4 smaller categories (22 records): Yield Sign (9), Marked Uncontrolled Crosswalk (7), Railway Crossing Device (5), Pedestrian Button (1).

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

Vulnerable Road Users & Motorcycles

There were 77 crashes involving motorcyclists, pedestrians, or bicyclists. Motorcyclists were the most frequent group with 49 incidents. The combined total for vulnerable road users was 28 crashes, comprising 20 involving pedestrians and 8 involving bicyclists.

Driver Contributing Action

Excluding drivers with no contributing action, the most common action cited was 'Followed Too Closely,' attributed to 726 drivers. Other leading actions included 'Failed to Keep in Proper Lane' for 457 drivers and 'Failed to Yield Right-of-Way' for 338 drivers.

Driver Contributing Action

1
No Contributing Action1,883 (42.4%)
2
Followed Too Closely726 (16.4%)
3
Failed to Keep in Proper Lane457 (10.3%)
4
Failed to Yield Right-of-Way338 (7.6%)
5
Ran Off Roadway184 (4.1%)
6
Other Contributing Action135 (3%)
7
Improper Backing122 (2.7%)
8
Improper Turn119 (2.7%)
9
Operated Motor Vehicle in Inattentive, Careless, Negligent, or Erratic Manner94 (2.1%)

Showing top 9 of 19 reported. 10 additional (379 total) not shown: Improper Passing, Ran Stop Sign, Over-Correcting/Over-Steering, Swerved or Avoided Due to Wind, Slippery Surface, Motor Vehicle, Object, Non-Motorist in Roadway, etc., Operated Motor Vehicle in Reckless or Aggressive Manner, Ran Red Light, Disregarded Other Traffic Sign, Wrong Side or Wrong Way, 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

Among drivers for whom a specific condition was noted, 142 were recorded as being under the influence of medications, drugs, or alcohol. Another 88 drivers were identified as being asleep or fatigued at the time of the crash.

Driver Condition

1
Apparently Normal4,062 (93.1%)
2
Under the Influence of Medications/Drugs/Alcohol142 (3.3%)
3
Asleep or Fatigued88 (2%)
4
Emotional (depressed, angry, disturbed, etc.)21 (0.5%)
5
Other18 (0.4%)
6
Ill (sick), Fainted17 (0.4%)
7
Physically Impaired13 (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 'Straight Ahead,' recorded for 2,044 vehicles. This was followed by vehicles that were 'Stopped in Traffic' (529) and those that were 'Turning Left' (413).

Pre-Crash Driver Action

1
Straight Ahead2,044 (43.8%)
2
Stopped in Traffic529 (11.3%)
3
Turning Left413 (8.9%)
4
Negotiating a Curve346 (7.4%)
5
Slowing321 (6.9%)
6
Parked214 (4.6%)
7
Turning Right163 (3.5%)
8
Backing159 (3.4%)
9
Overtaking/Passing117 (2.5%)

Showing top 9 of 17 reported. 8 additional (358 total) not shown: Other, Entering Traffic Lane, Changing Lanes, 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 · 2015-01-01 to 2015-12-31 · Vehicle unit records

Point of Impact

The front of the vehicle, designated as 'Sector 12 (North),' was the most frequent point of impact, recorded in 1,370 instances. The second most common impact area was the rear of the vehicle, or 'Sector 6 (South),' which was struck in 818 cases.

Point of Impact

"Other" combines 9 smaller categories (704 records): Sector 9 (West) in the 12-point Clock Diagram (144), Sector 2 (NorthEast) in the 12-point Clock Diagram (137), Sector 3 (East) in the 12-point Clock Diagram (131), Sector 4 (SouthEast) in the 12-point Clock Diagram (111), Sector 8 (SouthWest) in the 12-point Clock Diagram (107), Non-Collision (43), Top (14), Undercarriage (14), Cargo loss (3).

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

Pedestrian/Cyclist Action

In the 20 crashes involving pedestrians, 'No Improper Action' was the most common circumstance, noted in 8 cases. For incidents where an improper action was recorded, 'Failure to Obey Traffic Signs, Signals, or Officer' and 'Failure to Yield Right-Of-Way' were each cited 3 times.

Pedestrian/Cyclist Action

1
No Improper Action8 (32%)
2
Failure to Obey Traffic Signs, Signals, or Officer3 (12%)
3
Failure to Yield Right-Of-Way3 (12%)
4
Inattentive (Talking, Eating, etc.)3 (12%)
5
Dart/Dash2 (8%)
6
Other2 (8%)
7
In Roadway Improperly (Standing, Lying, Working, Playing)1 (4%)
8
Disabled Vehicle Related (Working on, Pushing, Leaving/Approaching)1 (4%)
9
Entering/Exiting Parked/Standing Vehicle1 (4%)

Showing top 9 of 10 reported. 1 additional (1 total) not shown: Not Visible (Dark Clothing, No Lighting, etc.).

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

Manner of Collision

Rear-end collisions ('Front to rear') were the most frequent type of crash, accounting for 846 incidents, or 31.2% of all collisions. The second most common crash type was an angle collision, which occurred in 519 incidents (19.2%).

Manner of Collision

"Other" combines 1 smaller categories (31 records): Rear to rear (31).

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

Person Type

Of the 6,562 individuals involved in crashes, the majority were drivers, accounting for 4,566 people. Passengers represented the second-largest group with 1,619 individuals. A smaller number of non-motorists were involved, including 20 pedestrians and 8 bicyclists.

Person Type

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

Person Injury Severity

Across all 6,562 people involved in crashes, 17 sustained fatal injuries and a combined 826 sustained injuries of any severity. The vast majority of individuals, 5,393 people or approximately 82.2%, were not injured.

Person Injury Severity

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

Occupant Safety Equipment

Among vehicle occupants whose safety equipment usage was documented, 5,126 were reported to have used a shoulder and lap belt. Conversely, 156 occupants were recorded as using no restraint system at the time of the crash.

Occupant Safety Equipment

"Other" combines 3 smaller categories (46 records): Child Restraint System, Rear Facing (21), Booster Seat (18), Child Restraint, Type Unknown (7).

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

Vehicles Per Crash

Two-vehicle collisions were the most common type of incident, with 1,766 crashes recorded. Single-vehicle crashes were the second most frequent, accounting for 821 incidents or 30.3% of the total. Multi-vehicle crashes involving three or more vehicles were less common, with 123 such events.

Vehicles Per Crash

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: 2,710
  • Total persons involved: 6,562
  • Total vehicles involved: 4,750

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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