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Monthly Traffic Safety Analysis

9,209 CRASHES IN
CONNECTICUT, CT
SEPTEMBER 2015

In September 2015, Connecticut recorded 9,209 traffic crashes, resulting in 27 fatalities and 3,267 injuries. Analysis of collision types reveals that front-to-rear collisions were the most prevalent, accounting for 40.2% of all incidents.

9,209

Total Crash Events

27

Persons Killed

3,267

Persons Injured

11.1%

Hit-and-Run Rate

Note: "Persons Killed" (27) counts individual fatalities across all crash events. "Fatal" in the severity table below (25) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.

Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Aggregate counts from crash, person, and vehicle records

1,024

Hit-and-Run Crashes — September 2015

Based on initial officer reports, 1,024 crashes, or 11.1% of the total, were classified as hit-and-run incidents. This classification is based on the responding officer's determination at the scene.

Vulnerable Road User Casualties

Vulnerable road users were significantly impacted, with 8 pedestrians and 1 cyclist killed in crashes. Additionally, 117 pedestrians and 68 cyclists sustained injuries. For comparison, 18 motorists were killed and 3,081 were injured during the same period.

8

Pedestrians Killed

1

Cyclists Killed

18

Motorists Killed

0

Other Killed

117

Pedestrians Injured

68

Cyclists Injured

3,081

Motorists Injured

1

Other Injured

Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

Crash frequency peaked on Wednesday with 1,666 incidents, and the most hazardous hour was 2 p.m., which saw 773 crashes. Crashes were most common during daytime hours, with a significant surge during the afternoon period between 1 p.m. and 5 p.m.

Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Crash date field aggregated by weekday

Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The majority of crashes (74.1%) resulted in no injuries, while 25.7% involved at least one possible, minor, or serious injury. There were 25 fatal crashes, which accounted for 0.3% of all incidents and resulted in a total of 27 fatalities, indicating some crashes involved more than one death.

Severity is per crash event (most severe injury). 25 fatal crash events resulted in 27 persons killed.

Outcome by Severity (Crash Events)

Fatal25fatal crashes0.3%
Serious Injury143serious injury crashes1.6%
Minor Injury935minor injury crashes10.2%
Possible Injury1,280possible injury crashes13.9%
No Injury6,826no injury crashes74.1%

Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Most severe injury per crash record

Road & Environmental Conditions

The vast majority of crashes occurred in ideal conditions, with 75.8% happening in daylight, 88.0% in clear weather, and 89.3% on dry road surfaces. Adverse weather was a factor in a smaller portion of incidents, with 712 crashes occurring during rain and 897 on wet roads.

Weather

Clear8,102 (88.5%)
Rain712 (7.8%)
Cloudy307 (3.4%)
Fog, Smog, Smoke17 (0.2%)
Other12 (0.1%)
Severe Crosswinds1 (0.0%)

Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Weather condition at time of crash

Lighting

Daylight6,984 (76.5%)
Dark-Lighted1,436 (15.7%)
Dark-Not Lighted475 (5.2%)
Dusk133 (1.5%)
Dawn58 (0.6%)
Dark-Unknown Lighting36 (0.4%)
Other6 (0.1%)

Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Lighting condition field

Road Surface

Dry8,225 (89.8%)
Wet897 (9.8%)
Mud, Dirt, Gravel14 (0.2%)
Other10 (0.1%)
Standing Water7 (0.1%)
Moving Water5 (0.1%)
Sand4 (0.0%)
Oil2 (0.0%)

Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Road surface condition field

Vehicles & Demographics

Analysis of persons involved in crashes shows the 26-34 age group was the most represented with 3,866 individuals, followed by the 45-54 age group with 3,492 individuals. Among vehicle makes involved in crashes, data suggests Honda (1,974 vehicles), Toyota (1,814 vehicles), and Ford (1,729 vehicles) were the most frequent.

Top Vehicle Makes (17,552 vehicles)

1
FORD1,729 (9.9%)
2
HONDA1,074 (6.1%)
3
HOND900 (5.1%)
4
TOYOTA778 (4.4%)
5
TOYO754 (4.3%)
6
NISSAN722 (4.1%)
7
CHEV663 (3.8%)
8
NISS648 (3.7%)
9
JEEP553 (3.2%)
10
CHEVROLET450 (2.6%)

Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Vehicle unit records

1,973 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (22,242 persons with recorded sex)

Male12,123 (54.5%)
Female10,119 (45.5%)

Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Person-level records linked to crash events

Speed Limit Zones

The most crashes occurred in 25 mph zones, which saw 2,879 incidents, accounting for 31.3% of all crashes. The percentage of crashes that were fatal tended to increase with the posted speed limit, with a notable rate in 45 mph zones where 1.10% of crashes resulted in a fatality.

Fatal crashes by zone: 1 mph: 2 of 797 (0.251%) · 25 mph: 4 of 2,879 (0.139%) · 30 mph: 3 of 805 (0.373%) · 35 mph: 3 of 1,033 (0.29%) · 40 mph: 3 of 612 (0.49%) · 45 mph: 4 of 365 (1.096%) · 50 mph: 2 of 280 (0.714%) · 55 mph: 1 of 791 (0.126%) · 65 mph: 2 of 467 (0.428%) · 88 mph: 1 of 650 (0.154%)

Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Posted speed limit at crash location

Top Counties

Fairfield County experienced the highest volume of crashes with 2,612 incidents, followed by Hartford County with 2,029 and New Haven County with 1,787. Combined, these three counties accounted for over 81% of all crashes for which county data was recorded.

Top Counties

1
Fairfield2,612 (33.2%)
2
Hartford2,029 (25.8%)
3
New Haven1,787 (22.7%)
4
New London496 (6.3%)
5
Litchfield321 (4.1%)
6
Middlesex259 (3.3%)
7
Tolland211 (2.7%)
8
Windham154 (2%)

Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Crash-level records

Top Towns

The highest concentration of crashes occurred in Connecticut's largest cities, with Hartford recording 720 incidents, New Haven recording a combined 675 incidents, and Bridgeport recording 495. Together, these three cities accounted for approximately 20.5% of all crashes statewide during this period.

Top Towns

1
Hartford720 (10.1%)
2
NewHaven527 (7.4%)
3
Bridgeport495 (7%)
4
Waterbury422 (5.9%)
5
Stamford414 (5.8%)
6
Danbury295 (4.2%)
7
Norwalk245 (3.5%)
8
Meriden173 (2.4%)
9
Fairfield166 (2.3%)

Showing top 9 of 50 reported. 41 additional (3,642 total) not shown: Manchester, Greenwich, Stratford, Hamden, New Haven, Middletown, Bristol, Wallingford, Norwich, Windsor, Milford, Trumbull, Westport, WestHartford, NewBritain, EastHartford, WestHaven, Newington, Torrington, Farmington, Orange, Enfield, NorthHaven, Wethersfield, Darien, Newtown, Groton, Shelton, Naugatuck, Branford, Vernon, Berlin, Southington, Plainville, Bethel, Glastonbury, Ridgefield, Waterford, Cheshire, Mansfield, Derby.

Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Crash-level records

Road Class

Among crashes where the road class was identified, Minor Arterial roads saw the most incidents with 338, closely followed by Local roads with 318. Limited-access highways, including Interstates and Freeways/Expressways, collectively accounted for 357 crashes, or 24.2% of crashes in this subset.

Road Class

Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Crash-level records

Route System

Crashes were split between state-maintained routes and local roads, with local roads accounting for 3,874 crashes. State-maintained routes, including State, Interstate, and US Routes, were the location for 4,902 crashes, representing 55.9% of the incidents where route system was specified.

Route System

Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Crash-level records

Public vs Private Road

Of the crashes where roadway ownership was documented, the vast majority occurred on public roads (8,563 incidents). A total of 368 crashes, or 4.1% of this subset, took place on private roads such as in parking lots or private drives.

Rural vs Urban

In cases where the area type was identified, crashes were predominantly urban, with 1,304 incidents recorded. Rural areas accounted for 171 crashes, representing 11.6% of this specific dataset.

Rural vs Urban

Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Crash-level records

Junction Type

The majority of crashes, 6,229 incidents, did not occur at an intersection. Approximately 32.0% of crashes (2,947 incidents) happened at or in relation to a junction, with four-way intersections being the most common type, accounting for 1,491 crashes.

Junction Type

1
Not at Intersection6,229 (67.9%)
2
Four-Way Intersection1,491 (16.2%)
3
T-Intersection1,270 (13.8%)
4
Y-Intersection115 (1.3%)
5
L-Intersection31 (0.3%)
6
Five-Point, or More29 (0.3%)
7
Roundabout8 (0.1%)
8
Traffic Circle3

Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Crash-level records

Run-off-Road / Fixed-Object Strikes

When a crash involved striking a fixed object, the most common objects hit were unclassified fixed objects like walls or buildings (204 incidents), guardrail faces (179), and utility poles or light supports (164). Collisions with utility poles and trees together accounted for 271 incidents, representing 21.7% of all reported fixed-object crashes.

Run-off-Road / Fixed-Object Strikes

1
Other Fixed Object (wall, building, tunnel, etc.)204 (16.5%)
2
Guardrail Face179 (14.4%)
3
Utility Pole/Light Support164 (13.2%)
4
Curb117 (9.4%)
5
Tree (standing)107 (8.6%)
6
Other Post, Pole or Support81 (6.5%)
7
Concrete Traffic Barrier69 (5.6%)
8
Embankment48 (3.9%)
9
Traffic Sign Support40 (3.2%)

Showing top 9 of 22 reported. 13 additional (231 total) not shown: Cable Barrier, Mailbox, Fence, Guardrail End, Other Traffic Barrier, Bridge Overhead Structure, Struck by Falling, Shifting Cargo or Anything Set in Motion by Motor Vehicle, Ditch, Traffic Signal Support, Bridge Rail, Impact Attenuator/Crash Cushion, Bridge Pier or Support, Culvert.

Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Crash-level records

Vehicle Type

Passenger cars were the most common vehicle type involved in crashes, accounting for 11,083 of the 17,552 vehicles, followed by (Sport) Utility Vehicles with 2,890. The data also includes 481 medium or heavy trucks, 210 motorcycles, and 200 buses of various types.

Vehicle Type

1
Passenger Car11,083 (64.3%)
2
(Sport) Utility Vehicle2,890 (16.8%)
3
Pick Up1,105 (6.4%)
4
Passenger Van573 (3.3%)
5
Medium / Heavy Trucks (more than 10,000 lbs (4,536 kg))481 (2.8%)
6
Other234 (1.4%)
7
Other Light Trucks (10,000 lbs (4,536 kg) or less)227 (1.3%)
8
Motorcycle210 (1.2%)
9
Cargo Van (10,000 lbs/4,536 kg or less)176 (1%)

Showing top 9 of 17 reported. 8 additional (258 total) not shown: School Bus, Transit Bus, Moped, Other Bus, Motor Home, Low Speed Vehicle, Motor Coach, All Terrain Vehicle (ATV).

Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Vehicle unit records

Traffic Control Device

A majority of vehicles in crashes, 11,586 in total, were at locations with no traffic control device present. Crashes at locations with a traffic control signal involved 4,334 vehicles, while 1,199 involved a stop sign.

Traffic Control Device

"Other" combines 6 smaller categories (69 records): Warning Sign (30), Marked Uncontrolled Crosswalk (22), Pedestrian Button (10), School Zone Sign/Device (4), Railway Crossing Device (2), Bicycle Detection (1).

Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Vehicle unit records

Vulnerable Road Users & Motorcycles

Among incidents involving vulnerable road users or motorcyclists, there were 204 motorcyclists, 135 pedestrians, and 84 bicyclists. Combined, pedestrians and bicyclists made up 219 of these incidents, representing 51.8% of this high-risk group.

Driver Contributing Action

The most frequently cited driver action contributing to a crash was 'Followed Too Closely,' recorded for 2,977 drivers. This was followed by 'Failed to Keep in Proper Lane' (1,331 drivers) and 'Failed to Yield Right-of-Way' (831 drivers).

Driver Contributing Action

1
No Contributing Action7,907 (50%)
2
Followed Too Closely2,977 (18.8%)
3
Failed to Keep in Proper Lane1,331 (8.4%)
4
Failed to Yield Right-of-Way831 (5.3%)
5
Improper Backing526 (3.3%)
6
Other Contributing Action503 (3.2%)
7
Improper Turn339 (2.1%)
8
Ran Off Roadway323 (2%)
9
Improper Passing233 (1.5%)

Showing top 9 of 19 reported. 10 additional (845 total) not shown: Operated Motor Vehicle in Inattentive, Careless, Negligent, or Erratic Manner, Ran Stop Sign, Ran Red Light, Swerved or Avoided Due to Wind, Slippery Surface, Motor Vehicle, Object, Non-Motorist in Roadway, etc., Operated Motor Vehicle in Reckless or Aggressive Manner, Over-Correcting/Over-Steering, Wrong Side or Wrong Way, Disregarded Other Traffic Sign, Disregarded Other Road Markings, Overtaking Cyclist.

Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Person-level records linked to crash events

Driver Condition

Among drivers where a condition other than 'Apparently Normal' was noted, 256 were determined to be under the influence of medications, drugs, or alcohol. Additionally, 141 drivers were identified as asleep or fatigued, and 83 were noted as being in an emotional state.

Driver Condition

1
Apparently Normal14,936 (95.8%)
2
Under the Influence of Medications/Drugs/Alcohol256 (1.6%)
3
Asleep or Fatigued141 (0.9%)
4
Emotional (depressed, angry, disturbed, etc.)83 (0.5%)
5
Physically Impaired60 (0.4%)
6
Other58 (0.4%)
7
Ill (sick), Fainted49 (0.3%)

Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Person-level records linked to crash events

Pre-Crash Driver Action

The most common pre-crash action for drivers was 'Straight Ahead,' which was reported for 8,061 vehicles. The next most common actions were 'Stopped in Traffic' (1,939 vehicles) and 'Slowing' (1,342 vehicles).

Pre-Crash Driver Action

1
Straight Ahead8,061 (46.8%)
2
Stopped in Traffic1,939 (11.3%)
3
Slowing1,342 (7.8%)
4
Parked1,225 (7.1%)
5
Turning Left1,190 (6.9%)
6
Backing708 (4.1%)
7
Negotiating a Curve543 (3.2%)
8
Turning Right543 (3.2%)
9
Changing Lanes540 (3.1%)

Showing top 9 of 17 reported. 8 additional (1,115 total) not shown: Overtaking/Passing, Entering Traffic Lane, Other, 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 · 2015-09-01 to 2015-09-30 · Vehicle unit records

Point of Impact

The most common point of impact was the front of the vehicle, which was struck in 5,153 instances. The rear of the vehicle was the second most common impact point, with 3,893 instances. Combined, frontal and rear impacts accounted for 56.0% of all collisions where the initial impact point was recorded.

Point of Impact

"Other" combines 9 smaller categories (2,471 records): Sector 2 (NorthEast) in the 12-point Clock Diagram (529), Sector 9 (West) in the 12-point Clock Diagram (473), Sector 3 (East) in the 12-point Clock Diagram (445), Sector 8 (SouthWest) in the 12-point Clock Diagram (362), Sector 4 (SouthEast) in the 12-point Clock Diagram (340), Non-Collision (135), Top (130), Undercarriage (42), Cargo loss (15).

Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Vehicle unit records

Pedestrian/Cyclist Action

In nearly half of the incidents involving pedestrians for which an action was recorded (48.6%), the pedestrian was determined to have taken 'No Improper Action' (104 cases). The most common improper actions cited were 'Dart/Dash' into the roadway (23 cases) and being 'In Roadway Improperly' (20 cases).

Pedestrian/Cyclist Action

1
No Improper Action104 (48.6%)
2
Dart/Dash23 (10.7%)
3
In Roadway Improperly (Standing, Lying, Working, Playing)20 (9.3%)
4
Failure to Yield Right-Of-Way18 (8.4%)
5
Other17 (7.9%)
6
Failure to Obey Traffic Signs, Signals, or Officer12 (5.6%)
7
Wrong-Way Riding or Walking7 (3.3%)
8
Entering/Exiting Parked/Standing Vehicle5 (2.3%)
9
Not Visible (Dark Clothing, No Lighting, etc.)3 (1.4%)

Showing top 9 of 11 reported. 2 additional (5 total) not shown: Improper Turn/Merge, Inattentive (Talking, Eating, etc.).

Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Non-motorist records linked to crash events

Manner of Collision

Front-to-rear collisions were the most common type of crash, accounting for 3,701 incidents, or 40.2% of the total. Angle collisions were the second most frequent type with 1,603 crashes (17.4%), followed by same-direction sideswipes with 1,227 crashes (13.3%).

Manner of Collision

"Other" combines 1 smaller categories (77 records): Front to front (77).

Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Crash-level records

Person Type

Of the 23,870 people involved in crashes, the majority were drivers, accounting for 16,747 individuals (70.2%). Passengers comprised the next largest group with 5,851 individuals (24.5%), while 140 pedestrians and 87 bicyclists were also involved.

Person Type

Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Crash-level records

Person Injury Severity

Across all 23,870 individuals involved, 82.1% (19,604 people) reported no injuries. A total of 3,267 people sustained injuries of varying severity (13.7%), and 27 individuals suffered fatal injuries, representing 0.11% of all persons involved.

Person Injury Severity

Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Crash-level records

Occupant Safety Equipment

Among vehicle occupants for whom safety equipment use was recorded, 85.0% (15,988 individuals) were reported as using a shoulder and lap belt. A total of 581 occupants, or 3.1% of this group, were recorded as using no restraint system at the time of the crash.

Occupant Safety Equipment

"Other" combines 3 smaller categories (145 records): Booster Seat (62), Other (45), Child Restraint, Type Unknown (38).

Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · Person-level records linked to crash events

Vehicles Per Crash

The vast majority of crashes, 6,986 incidents or 75.9%, involved two vehicles. Single-vehicle crashes accounted for 17.8% of the total (1,641 incidents), while multi-vehicle incidents involving three or more vehicles made up the remaining 6.3%.

Vehicles Per Crash

Source: Connecticut Crash Data · Csv Open Data · 2015-09-01 to 2015-09-30 · 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: 2015-09-01 through 2015-09-30
  • Report generated: August 20, 2026

Data Coverage

  • Reporting period: 2015-09-01 through 2015-09-30 (30 days)
  • Geographic scope: connecticut, CT
  • Total crash records analyzed: 9,209
  • Total persons involved: 23,870
  • Total vehicles involved: 17,552

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: September 2015." Published August 20, 2026. Reporting period: 2015-09-01 to 2015-09-30. Data source: Connecticut Crash Data, Csv Open Data. Available at: https://thatcarhitme.com/crash-data/connecticut/statewide/september-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

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