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Monthly Traffic Safety Analysis

2,913 CRASHES IN
CONNECTICUT, CT
OCTOBER 2016

In October 2016, New Haven County recorded 2,913 traffic crashes, resulting in 7 fatalities and 1,054 injuries. The most frequent type of collision was front-to-rear, which constituted 41.3% of all reported incidents. These crashes involved a total of 7,422 individuals and 5,672 vehicles.

2,913

Total Crash Events

7

Persons Killed

1,054

Persons Injured

12.2%

Hit-and-Run Rate

Note: "Persons Killed" (7) counts individual fatalities across all crash events. "Fatal" in the severity table below (7) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.

Source: Connecticut Crash Data Repository · Open Data · 2016-10-01 to 2016-10-31 · Aggregate counts from crash, person, and vehicle records

354

Hit-and-Run Crashes — October 2016

There were 354 hit-and-run incidents reported, accounting for 12.2% of all crashes during this period. This classification is based on the determination made by the responding officer at the scene of the crash.

Vulnerable Road User Casualties

During this period, 4 pedestrians were killed and 32 were injured, representing the highest number of fatalities among all road user types. In addition, 3 motorists were killed and 1,016 were injured. No cyclists were killed, but 6 sustained injuries in crashes.

4

Pedestrians Killed

0

Cyclists Killed

3

Motorists Killed

32

Pedestrians Injured

6

Cyclists Injured

1,016

Motorists Injured

Source: Connecticut Crash Data Repository · Open Data · 2016-10-01 to 2016-10-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

Crash analysis reveals distinct temporal patterns, with Friday being the most frequent day for incidents, recording 533 crashes. The daily peak occurred during the 4 p.m. hour, with 253 crashes. A significant majority of crashes, 2,014 out of 2,913, happened during daylight hours.

Source: Connecticut Crash Data Repository · Open Data · 2016-10-01 to 2016-10-31 · Crash date field aggregated by weekday

Source: Connecticut Crash Data Repository · Open Data · 2016-10-01 to 2016-10-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Of the 2,913 total crashes, 74.5% (2,171 incidents) resulted in no injuries, categorized as property damage only. The remaining crashes involved possible, minor, or serious injuries. There were 7 fatal crashes, which resulted in 7 fatalities; the number of persons killed can sometimes exceed the number of fatal crashes.

Outcome by Severity (Crash Events)

Fatal7fatal crashes0.2%
Serious Injury32serious injury crashes1.1%
Minor Injury240minor injury crashes8.2%
Possible Injury463possible injury crashes15.9%
No Injury2,171no injury crashes74.5%

Source: Connecticut Crash Data Repository · Open Data · 2016-10-01 to 2016-10-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Connecticut Crash Data Repository · Open Data · 2016-10-01 to 2016-10-31 · Most severe injury per crash record

Road & Environmental Conditions

The majority of crashes occurred in ideal driving conditions, with 82.3% on dry roads (2,397 crashes) and 79.9% in clear weather (2,328 crashes). Daylight conditions were present for 69.1% of incidents (2,014 crashes). Among adverse conditions, rain was a factor in 348 crashes, and crashes on wet road surfaces numbered 472.

Weather

Clear2,328 (80.5%)
Rain348 (12.0%)
Cloudy169 (5.8%)
Freezing Rain or Freezing Drizzle16 (0.6%)
Snow15 (0.5%)
Other5 (0.2%)
Fog, Smog, Smoke4 (0.1%)
Sleet or Hail4 (0.1%)
Blowing Snow3 (0.1%)

Source: Connecticut Crash Data Repository · Open Data · 2016-10-01 to 2016-10-31 · Weather condition at time of crash

Lighting

Daylight2,014 (70.1%)
Dark-Lighted610 (21.2%)
Dark-Not Lighted152 (5.3%)
Dusk54 (1.9%)
Dawn25 (0.9%)
Dark-Unknown Lighting15 (0.5%)
Other2 (0.1%)

Source: Connecticut Crash Data Repository · Open Data · 2016-10-01 to 2016-10-31 · Lighting condition field

Road Surface

Dry2,397 (82.9%)
Wet472 (16.3%)
Ice / Frost4 (0.1%)
Mud, Dirt, Gravel4 (0.1%)
Slush3 (0.1%)
Oil3 (0.1%)
Standing Water3 (0.1%)
Moving Water2 (0.1%)
Other1 (0.0%)
Snow1 (0.0%)

Source: Connecticut Crash Data Repository · Open Data · 2016-10-01 to 2016-10-31 · Road surface condition field

Vehicles & Demographics

Analysis of persons involved in crashes shows the 26-34 age group was the most represented, with 1,380 individuals, followed by the 35-44 and 45-54 age groups. Among the 5,672 vehicles involved, the most frequent makes recorded were Ford (548), Honda (375), and Nissan (304). Several makes appear under multiple name variations in the data.

Top Vehicle Makes (5,672 vehicles)

1
FORD548 (9.7%)
2
HONDA375 (6.6%)
3
NISSAN304 (5.4%)
4
TOYOTA293 (5.2%)
5
HOND244 (4.3%)
6
NISS236 (4.2%)
7
CHEVROLET215 (3.8%)
8
TOYO215 (3.8%)
9
CHEV211 (3.7%)
10
JEEP182 (3.2%)

Source: Connecticut Crash Data Repository · Open Data · 2016-10-01 to 2016-10-31 · Vehicle unit records

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

Sex Distribution (7,034 persons with recorded sex)

Male3,799 (54.0%)
Female3,235 (46.0%)

Source: Connecticut Crash Data Repository · Open Data · 2016-10-01 to 2016-10-31 · Person-level records linked to crash events

Speed Limit Zones

The most crashes, 1,080 incidents or 37.1% of the total, occurred in zones with a posted speed limit of 25 mph. Within this speed zone, 0.278% of crashes were fatal. Fatal crashes were also recorded in 35 mph, 40 mph, and 55 mph zones, with the highest fatal crash rate of 0.719% occurring in the 35 mph zones.

Fatal crashes by zone: 25 mph: 3 of 1,080 (0.278%) · 35 mph: 2 of 278 (0.719%) · 40 mph: 1 of 145 (0.69%) · 55 mph: 1 of 267 (0.375%)

Source: Connecticut Crash Data Repository · Open Data · 2016-10-01 to 2016-10-31 · Posted speed limit at crash location

Top Towns

The highest concentration of crashes occurred in the county's largest urban centers. The city of New Haven accounted for 21.2% of all crashes with 617 incidents, followed by Waterbury with 548 crashes (18.8%) and Meriden with 249 crashes (8.5%). Together, these three cities represented nearly half of all crashes in the county.

Top Towns

1
New Haven617 (21.2%)
2
Waterbury548 (18.8%)
3
Meriden249 (8.5%)
4
Hamden190 (6.5%)
5
Wallingford162 (5.6%)
6
West Haven152 (5.2%)
7
Milford147 (5%)
8
North Haven103 (3.5%)
9
Orange95 (3.3%)

Showing top 9 of 27 reported. 18 additional (650 total) not shown: Branford, Naugatuck, Cheshire, Derby, East Haven, Southbury, Ansonia, Seymour, Guilford, Middlebury, North Branford, Madison, Wolcott, Prospect, Woodbridge, Oxford, Beacon Falls, Bethany.

Source: Connecticut Crash Data Repository · Open Data · 2016-10-01 to 2016-10-31 · Crash-level records

Road Class

Among crashes where the road classification was recorded, Minor Arterials saw the highest number of incidents with 98 crashes. Limited-access highways, including Interstates and Freeways/Expressways, accounted for a combined 110 crashes. Local roads were the site of 64 crashes.

Road Class

Source: Connecticut Crash Data Repository · Open Data · 2016-10-01 to 2016-10-31 · Crash-level records

Route System

Crashes were split between local and state-maintained roadways. Local roads accounted for 1,218 crashes, while state-maintained routes (including State, Interstate, and US Routes) were the location for a combined 1,551 crashes. This indicates that 56% of crashes with a specified route system occurred on roads under state jurisdiction.

Route System

Source: Connecticut Crash Data Repository · Open Data · 2016-10-01 to 2016-10-31 · Crash-level records

Public vs Private Road

Of the crashes where roadway ownership was identified, the vast majority occurred on public roads (2,730 incidents). Crashes on private property, such as in parking lots or on private drives, accounted for 123 incidents, representing 4.3% of this subset.

Rural vs Urban

Based on the available data for roadway character, crashes occurred overwhelmingly in urban areas, with 379 incidents. In contrast, only 4 crashes were recorded in areas designated as rural.

Rural vs Urban

Source: Connecticut Crash Data Repository · Open Data · 2016-10-01 to 2016-10-31 · Crash-level records

Junction Type

A majority of crashes, 1,924 incidents, occurred at locations not at an intersection. Crashes at intersections accounted for a combined 987 incidents, with four-way intersections (496 crashes) and T-intersections (422 crashes) being the most common junction types for collisions.

Junction Type

1
Not at Intersection1,924 (66.1%)
2
Four-Way Intersection496 (17%)
3
T-Intersection422 (14.5%)
4
Y-Intersection44 (1.5%)
5
Five-Point, or More12 (0.4%)
6
L-Intersection10 (0.3%)
7
Roundabout3 (0.1%)

Source: Connecticut Crash Data Repository · Open Data · 2016-10-01 to 2016-10-31 · Crash-level records

Run-off-Road / Fixed-Object Strikes

For crashes involving a collision with a fixed object, the most commonly struck objects were guardrail faces (59 incidents), curbs (40 incidents), and utility poles or light supports (39 incidents). Collisions with poles and trees combined accounted for 91 separate incidents.

Run-off-Road / Fixed-Object Strikes

1
Other Fixed Object (wall, building, tunnel, etc.)67 (19.5%)
2
Guardrail Face59 (17.2%)
3
Curb40 (11.7%)
4
Utility Pole/Light Support39 (11.4%)
5
Other Post, Pole or Support31 (9%)
6
Concrete Traffic Barrier25 (7.3%)
7
Tree (standing)21 (6.1%)
8
Fence12 (3.5%)
9
Cable Barrier8 (2.3%)

Showing top 9 of 20 reported. 11 additional (41 total) not shown: Embankment, Traffic Sign Support, Guardrail End, Mailbox, Ditch, Bridge Overhead Structure, Impact Attenuator/Crash Cushion, Traffic Signal Support, Struck by Falling, Shifting Cargo or Anything Set in Motion by Motor Vehicle, Bridge Rail, Culvert.

Source: Connecticut Crash Data Repository · Open Data · 2016-10-01 to 2016-10-31 · Crash-level records

Vehicle Type

Passenger cars were the most common vehicle type involved in crashes, accounting for 3,595 vehicles. Sport Utility Vehicles were the second most frequent with 1,057 vehicles, followed by pickup trucks with 353. Notably, 134 medium or heavy trucks and 34 motorcycles were also involved in collisions during this period.

Vehicle Type

1
Passenger Car3,595 (64.2%)
2
(Sport) Utility Vehicle1,057 (18.9%)
3
Pick Up353 (6.3%)
4
Passenger Van176 (3.1%)
5
Medium / Heavy Trucks (more than 10,000 lbs (4,536 kg))134 (2.4%)
6
Other Light Trucks (10,000 lbs (4,536 kg) or less)61 (1.1%)
7
Cargo Van (10,000 lbs/4,536 kg or less)59 (1.1%)
8
Other49 (0.9%)
9
School Bus36 (0.6%)

Showing top 9 of 14 reported. 5 additional (77 total) not shown: Motorcycle, Transit Bus, Moped, Other Bus, All Terrain Vehicle (ATV).

Source: Connecticut Crash Data Repository · Open Data · 2016-10-01 to 2016-10-31 · Vehicle unit records

Traffic Control Device

Analysis of traffic controls at crash locations indicates that a majority of vehicles, 3,580, were involved in crashes where no control device was present. Locations with traffic control signals accounted for 1,464 vehicles in crashes, while 479 were at locations with a stop sign.

Traffic Control Device

"Other" combines 5 smaller categories (18 records): Person (including flagger, law enforcement, crossing guard, etc.) (9), Railway Crossing Device (3), Marked Uncontrolled Crosswalk (3), School Zone Sign/Device (2), Pedestrian Button (1).

Source: Connecticut Crash Data Repository · Open Data · 2016-10-01 to 2016-10-31 · Vehicle unit records

Vulnerable Road Users & Motorcycles

There were 77 crashes recorded involving vulnerable road users or motorcyclists. Of these, pedestrians were involved in 38 incidents and bicyclists in 8 incidents, for a combined total of 46 crashes involving vulnerable road users. Motorcyclists were involved in the remaining 31 crashes.

Driver Contributing Action

Among the 5,308 drivers involved, 'Followed Too Closely' was the most cited contributing action, attributed to 984 drivers (18.5%). Other common actions included 'Failed to Keep in Proper Lane' (449 drivers) and 'Failed to Yield Right-of-Way' (327 drivers). A significant number of drivers, 2,472, were recorded with no contributing action.

Driver Contributing Action

1
No Contributing Action2,472 (48.9%)
2
Followed Too Closely984 (19.4%)
3
Failed to Keep in Proper Lane449 (8.9%)
4
Failed to Yield Right-of-Way327 (6.5%)
5
Other Contributing Action147 (2.9%)
6
Improper Backing141 (2.8%)
7
Ran Off Roadway102 (2%)
8
Improper Turn87 (1.7%)
9
Improper Passing84 (1.7%)

Showing top 9 of 18 reported. 9 additional (267 total) not shown: Operated Motor Vehicle in Inattentive, Careless, Negligent, or Erratic Manner, Ran Red Light, Ran Stop Sign, Operated Motor Vehicle in Reckless or Aggressive Manner, Wrong Side or Wrong Way, Over-Correcting/Over-Steering, Swerved or Avoided Due to Wind, Slippery Surface, Motor Vehicle, Object, Non-Motorist in Roadway, etc., Disregarded Other Traffic Sign, Disregarded Other Road Markings.

Source: Connecticut Crash Data Repository · Open Data · 2016-10-01 to 2016-10-31 · Person-level records linked to crash events

Driver Condition

While the vast majority of drivers (4,770) were listed as 'Apparently Normal,' several other conditions were noted. A total of 61 drivers were identified as being under the influence of medications, drugs, or alcohol. Additionally, 34 drivers were reported as asleep or fatigued, and 26 were noted as being emotional.

Driver Condition

1
Apparently Normal4,770 (96.9%)
2
Under the Influence of Medications/Drugs/Alcohol61 (1.2%)
3
Asleep or Fatigued34 (0.7%)
4
Emotional (depressed, angry, disturbed, etc.)26 (0.5%)
5
Other17 (0.3%)
6
Ill (sick), Fainted9 (0.2%)
7
Physically Impaired8 (0.2%)

Source: Connecticut Crash Data Repository · Open Data · 2016-10-01 to 2016-10-31 · 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 reported for 2,578 vehicles (45.4%). The next most frequent actions were being 'Stopped in Traffic' (713 vehicles) and 'Turning Left' (420 vehicles).

Pre-Crash Driver Action

1
Straight Ahead2,578 (46.4%)
2
Stopped in Traffic713 (12.8%)
3
Turning Left420 (7.6%)
4
Slowing415 (7.5%)
5
Parked389 (7%)
6
Turning Right183 (3.3%)
7
Backing178 (3.2%)
8
Negotiating a Curve171 (3.1%)
9
Changing Lanes163 (2.9%)

Showing top 9 of 16 reported. 7 additional (351 total) not shown: Entering Traffic Lane, Overtaking/Passing, Other, Leaving Traffic Lane, Wrong way (or Wrong Side), Making U-Turn, Overtaking/Passing Cyclist.

Source: Connecticut Crash Data Repository · Open Data · 2016-10-01 to 2016-10-31 · Vehicle unit records

Point of Impact

The front of the vehicle was the most common point of impact, recorded for 1,692 vehicles. The second most frequent impact point was the rear of the vehicle, with 1,214 instances. These two impact locations align with the high number of front-to-rear collisions.

Point of Impact

"Other" combines 9 smaller categories (799 records): Sector 5 (South by SouthEast) in the 12-point Clock Diagram (185), Sector 8 (SouthWest) in the 12-point Clock Diagram (155), Sector 9 (West) in the 12-point Clock Diagram (128), Sector 3 (East) in the 12-point Clock Diagram (123), Sector 4 (SouthEast) in the 12-point Clock Diagram (120), Non-Collision (49), Top (32), Undercarriage (6), Cargo loss (1).

Source: Connecticut Crash Data Repository · Open Data · 2016-10-01 to 2016-10-31 · Vehicle unit records

Pedestrian/Cyclist Action

Among pedestrians involved in crashes where an action was specified, 14 were noted as having 'No Improper Action,' while another 14 were described as being 'In Roadway Improperly.' An additional 6 pedestrians were cited for 'Failure to Obey Traffic Signs, Signals, or Officer.'

Pedestrian/Cyclist Action

1
In Roadway Improperly (Standing, Lying, Working, Playing)14 (32.6%)
2
No Improper Action14 (32.6%)
3
Failure to Obey Traffic Signs, Signals, or Officer6 (14%)
4
Failure to Yield Right-Of-Way3 (7%)
5
Not Visible (Dark Clothing, No Lighting, etc.)2 (4.7%)
6
Wrong-Way Riding or Walking1 (2.3%)
7
Entering/Exiting Parked/Standing Vehicle1 (2.3%)
8
Other1 (2.3%)
9
Dart/Dash1 (2.3%)

Source: Connecticut Crash Data Repository · Open Data · 2016-10-01 to 2016-10-31 · Non-motorist records linked to crash events

Manner of Collision

The most prevalent manner of collision was 'Front to rear,' accounting for 1,202 incidents, or 41.3% of all crashes. Angle collisions were the second most common type with 575 incidents (19.7%), followed by same-direction sideswipes with 411 incidents (14.1%).

Manner of Collision

"Other" combines 1 smaller categories (21 records): Rear to rear (21).

Source: Connecticut Crash Data Repository · Open Data · 2016-10-01 to 2016-10-31 · Crash-level records

Person Type

Of the 7,422 individuals involved in crashes, the majority were drivers (5,308 people, or 71.5%). Passengers constituted the next largest group with 1,746 individuals. The data also recorded 41 pedestrians and 8 bicyclists as being involved in these incidents.

Person Type

Source: Connecticut Crash Data Repository · Open Data · 2016-10-01 to 2016-10-31 · Crash-level records

Person Injury Severity

Across all 7,422 persons involved, 6,073 (81.8%) sustained no injuries. A total of 1,054 individuals suffered injuries ranging from possible to serious. Seven individuals sustained fatal injuries, accounting for less than 0.1% of all persons involved.

Person Injury Severity

Source: Connecticut Crash Data Repository · Open Data · 2016-10-01 to 2016-10-31 · Crash-level records

Occupant Safety Equipment

Among vehicle occupants for whom safety equipment use was recorded, the vast majority (5,211) were reported as using a shoulder and lap belt. There were 124 occupants noted as not using any restraint system, representing 2.1% of this group. Additionally, various forms of child restraints were used for 152 occupants.

Occupant Safety Equipment

"Other" combines 3 smaller categories (31 records): Booster Seat (14), Other (9), Child Restraint, Type Unknown (8).

Source: Connecticut Crash Data Repository · Open Data · 2016-10-01 to 2016-10-31 · Person-level records linked to crash events

Vehicles Per Crash

The majority of incidents were two-vehicle crashes, with 2,276 occurrences. Single-vehicle crashes accounted for 422 incidents, or 14.5% of the total. Multi-vehicle pileups were less common, with 179 crashes involving three vehicles and 36 crashes involving four or more vehicles.

Vehicles Per Crash

Source: Connecticut Crash Data Repository · Open Data · 2016-10-01 to 2016-10-31 · Crash-level records

Data Sources & Methodology

Primary Data Source

All crash data in this report is sourced from Connecticut Crash Data Repository, accessed programmatically via the Socrata 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: Socrata 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: 2016-10-01 through 2016-10-31
  • Report generated: August 21, 2026

Data Coverage

  • Reporting period: 2016-10-01 through 2016-10-31 (31 days)
  • Geographic scope: connecticut, CT
  • Total crash records analyzed: 2,913
  • Total persons involved: 7,422
  • Total vehicles involved: 5,672

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: October 2016." Published August 21, 2026. Reporting period: 2016-10-01 to 2016-10-31. Data source: Connecticut Crash Data Repository. Available at: https://thatcarhitme.com/crash-data/connecticut/statewide/october-2016-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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