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CRASH INTELLIGENCE REPORT · CONNECTICUT, CT · MARCH 2015
Purpose: Machine-readable JSON endpoint for AI agents, LLMs, researchers, and programmatic consumers. Returns all underlying crash data and AI-generated commentary without HTML.
Authentication: None required. Public endpoint.
GET: https://thatcarhitme.com/api/crash-data/reports/data/connecticut/statewide/march-2015-report
Monthly Traffic Safety Analysis
9,553 CRASHES IN
CONNECTICUT, CT
MARCH 2015
In March 2015, Connecticut recorded 9,553 motor vehicle crashes, resulting in 15 fatalities and 2,483 injuries. These incidents involved 22,937 people and 17,557 vehicles across the state. The most common type of collision was front-to-rear, which accounted for 33% of all crashes where the manner of collision was specified.
9,553
Total Crash Events
15
Persons Killed
2,483
Persons Injured
10.3%
Hit-and-Run Rate
Note: "Persons Killed" (15) counts individual fatalities across all crash events. "Fatal" in the severity table below (14) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Connecticut Crash Data · Csv Open Data · 2015-03-01 to 2015-03-31 · Aggregate counts from crash, person, and vehicle records
985
Hit-and-Run Crashes — March 2015
Based on the responding officer's initial determination, 985 crashes during this period were classified as hit-and-runs. This represents 10.3% of all crashes in March 2015. These incidents involve at least one driver leaving the scene of the collision without providing required information.
Vulnerable Road User Casualties
Motorists comprised the largest group of individuals killed or seriously injured, with 12 fatalities and 2,392 injuries. Vulnerable road users also suffered significant harm; 3 pedestrians were killed and 82 were injured. Additionally, 9 cyclists were injured, though none fatally, during this period.
3
Pedestrians Killed
0
Cyclists Killed
12
Motorists Killed
82
Pedestrians Injured
9
Cyclists Injured
2,392
Motorists Injured
Source: Connecticut Crash Data · Csv Open Data · 2015-03-01 to 2015-03-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
Crash frequencies peaked on Friday, which saw 1,742 incidents, more than any other day of the week. The single busiest hour for crashes was between 4 p.m. and 5 p.m., with 818 events, coinciding with the evening commute. Overall, a majority of collisions, 6,841 or 71.6%, occurred during daylight hours.
Source: Connecticut Crash Data · Csv Open Data · 2015-03-01 to 2015-03-31 · Crash date field aggregated by weekday
Source: Connecticut Crash Data · Csv Open Data · 2015-03-01 to 2015-03-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The vast majority of crashes, 81.1% (7,746 incidents), resulted in no injuries and were property-damage-only. Crashes involving some level of injury accounted for 18.8% of the total. There were 14 distinct fatal crashes recorded, which resulted in a total of 15 fatalities, as a single crash can involve more than one death.
Severity is per crash event (most severe injury). 14 fatal crash events resulted in 15 persons killed.
Outcome by Severity (Crash Events)
Source: Connecticut Crash Data · Csv Open Data · 2015-03-01 to 2015-03-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Connecticut Crash Data · Csv Open Data · 2015-03-01 to 2015-03-31 · Most severe injury per crash record
Road & Environmental Conditions
A significant portion of crashes occurred in seemingly ideal conditions, with 61.4% (5,869) happening in clear weather and 71.6% (6,841) during daylight. Similarly, 54.0% of crashes (5,158) were on dry road surfaces. However, adverse conditions were also a factor, with 1,943 crashes occurring in snow and 1,576 on wet roads.
Weather
Source: Connecticut Crash Data · Csv Open Data · 2015-03-01 to 2015-03-31 · Weather condition at time of crash
Lighting
Source: Connecticut Crash Data · Csv Open Data · 2015-03-01 to 2015-03-31 · Lighting condition field
Road Surface
Source: Connecticut Crash Data · Csv Open Data · 2015-03-01 to 2015-03-31 · Road surface condition field
Vehicles & Demographics
The age group most frequently involved in crashes was 26-34, accounting for 3,807 of the 22,937 people involved. An analysis of vehicle makes involved in crashes shows Honda (1,932 vehicles), Ford (1,858), and Toyota (1,823) as the most common. These figures represent the raw counts of vehicles involved and do not reflect market share.
Top Vehicle Makes (17,557 vehicles)
Source: Connecticut Crash Data · Csv Open Data · 2015-03-01 to 2015-03-31 · Vehicle unit records
1,606 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (21,541 persons with recorded sex)
Source: Connecticut Crash Data · Csv Open Data · 2015-03-01 to 2015-03-31 · Person-level records linked to crash events
Speed Limit Zones
The 25 mph speed zone saw the highest number of crashes, with 2,788 incidents, accounting for 29.2% of the total. While lower speed zones had more crashes, the percentage of crashes within a zone that were fatal tended to increase with speed. For instance, 0.535% of crashes in the 45 mph zone were fatal, the highest rate among zones with fatalities, compared to 0.036% in the 25 mph zone.
Fatal crashes by zone: 25 mph: 1 of 2,788 (0.036%) · 30 mph: 2 of 830 (0.241%) · 35 mph: 2 of 1,094 (0.183%) · 40 mph: 3 of 596 (0.503%) · 45 mph: 2 of 374 (0.535%) · 55 mph: 2 of 760 (0.263%) · 65 mph: 1 of 510 (0.196%)
Source: Connecticut Crash Data · Csv Open Data · 2015-03-01 to 2015-03-31 · Posted speed limit at crash location
Top Counties
Crash distribution was heavily concentrated in three of Connecticut's eight counties. Fairfield County had the highest volume with 2,953 crashes (30.9% of the state total), followed closely by New Haven County with 2,782 crashes (29.1%). Hartford County ranked third with 1,934 crashes (20.2%), with these three counties together accounting for over 80% of all incidents.
Top Counties
Source: Connecticut Crash Data · Csv Open Data · 2015-03-01 to 2015-03-31 · Crash-level records
Top Towns
At the municipal level, New Haven recorded the most crashes in the state with 800 incidents, representing 8.4% of the statewide total. Bridgeport followed with 533 crashes (5.6% of total), and Stamford had the third-highest volume with 465 crashes (4.9%). Waterbury and Danbury rounded out the top five with 436 and 324 crashes, respectively.
Top Towns
Showing top 9 of 50 reported. 41 additional (4,078 total) not shown: Meriden, Manchester, Middletown, Bristol, Hamden, Milford, Trumbull, Norwalk, Norwich, West Hartford, New Britain, East Hartford, North Haven, Shelton, Groton, Wallingford, Newtown, Westport, Orange, Glastonbury, Southington, Berlin, West Haven, Farmington, Bloomfield, Bethel, Enfield, Cheshire, Plainville, Wethersfield, Vernon, Branford, Mansfield, Wilton, Derby, New Milford, East Haven, Montville, Darien, Waterford, Ridgefield.
Source: Connecticut Crash Data · Csv Open Data · 2015-03-01 to 2015-03-31 · Crash-level records
Road Class
Among crashes where the roadway functional class was identified, minor arterials accounted for the largest share with 446 incidents. Collector roads followed with 404 crashes. Combined, limited-access highways like Interstates (315) and Freeways/Expressways (214) were the location for 26.5% of these classified crashes.
Road Class
Source: Connecticut Crash Data · Csv Open Data · 2015-03-01 to 2015-03-31 · Crash-level records
Route System
Of the 8,943 crashes with a specified route system, a majority occurred on state-maintained roadways. State routes accounted for 2,938 crashes, Interstates for 1,167, and US Routes for 759, making up a combined 54.4% of the total. The remaining 45.6% of crashes occurred on local roads.
Route System
Source: Connecticut Crash Data · Csv Open Data · 2015-03-01 to 2015-03-31 · Crash-level records
Public vs Private Road
Among crashes where ownership was recorded, the vast majority, 8,777 incidents, occurred on public roads. A smaller but notable number of crashes, 381 or 4.2% of the total, took place on private property such as parking lots or private driveways.
Rural vs Urban
Of the 2,000 crashes where the locality type was specified, 1,745 occurred in urban areas. The remaining 255 crashes, or 12.8% of this subset, took place in rural settings. Crashes in rural areas are often associated with different characteristics, such as higher speeds.
Rural vs Urban
Source: Connecticut Crash Data · Csv Open Data · 2015-03-01 to 2015-03-31 · Crash-level records
Junction Type
The data indicates that most crashes did not happen at an intersection, with 6,601 incidents (69.3%) occurring at non-junction locations. However, a significant number of crashes, totaling 2,920 or 30.7%, did occur at or near an intersection. The most common junction types for crashes were four-way intersections (1,372) and T-intersections (1,351).
Junction Type
Source: Connecticut Crash Data · Csv Open Data · 2015-03-01 to 2015-03-31 · Crash-level records
Run-off-Road / Fixed-Object Strikes
In crashes where the first harmful event was striking a fixed object, the most commonly hit object was a guardrail face, which was struck 290 times. Utility poles and light supports were the second-most common, hit in 230 crashes, followed by trees, which were struck 122 times. Combined, collisions with poles and trees accounted for 352 of these run-off-road incidents.
Run-off-Road / Fixed-Object Strikes
Showing top 9 of 21 reported. 12 additional (288 total) not shown: Traffic Sign Support, Mailbox, Fence, Ditch, Other Traffic Barrier, Guardrail End, Bridge Overhead Structure, Struck by Falling, Shifting Cargo or Anything Set in Motion by Motor Vehicle, Bridge Rail, Impact Attenuator/Crash Cushion, Culvert, Bridge Pier or Support.
Source: Connecticut Crash Data · Csv Open Data · 2015-03-01 to 2015-03-31 · Crash-level records
Vehicle Type
Passenger cars were the most prevalent vehicle type involved in crashes, accounting for 11,134 of the 17,557 vehicles involved (63.4%). Sport utility vehicles were the next most common, with 2,986 involved (17.0%). Notably, medium and heavy trucks were involved in 480 crashes (2.7%), while motorcycles were involved in 8 crashes.
Vehicle Type
Showing top 9 of 17 reported. 8 additional (108 total) not shown: Transit Bus, Other Bus, Low Speed Vehicle, Motorcycle, All Terrain Vehicle (ATV), Motor Coach, Motor Home, Moped.
Source: Connecticut Crash Data · Csv Open Data · 2015-03-01 to 2015-03-31 · Vehicle unit records
Traffic Control Device
A majority of crashes occurred at locations with no traffic control device present, accounting for 12,019 incidents. Locations with traffic signals were the site of 3,789 crashes, while 1,188 crashes occurred at intersections controlled by a stop sign. This indicates that 69.6% of crashes with known traffic control happened at uncontrolled locations.
Traffic Control Device
"Other" combines 4 smaller categories (39 records): Person (including flagger, law enforcement, crossing guard, etc.) (17), Marked Uncontrolled Crosswalk (17), School Zone Sign/Device (3), Pedestrian Button (2).
Source: Connecticut Crash Data · Csv Open Data · 2015-03-01 to 2015-03-31 · Vehicle unit records
Vulnerable Road Users & Motorcycles
During this period, there were 112 crashes involving vulnerable road users or motorcyclists. Pedestrians were involved in 92 of these incidents, and bicyclists were involved in 12. Combined, pedestrians and bicyclists accounted for 104 crashes, representing 92.9% of these specific incident types.
Driver Contributing Action
Among the 16,504 drivers involved in crashes, specific contributing actions were recorded for many. The most common cited action was 'Followed Too Closely,' attributed to 2,313 drivers. 'Failed to Keep in Proper Lane' was the second most frequent action with 1,388 instances, followed by 'Failed to Yield Right-of-Way' with 782 instances.
Driver Contributing Action
Showing top 9 of 19 reported. 10 additional (1,144 total) not shown: Improper Turn, Improper Passing, Ran Stop Sign, Ran Red Light, 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 · 2015-03-01 to 2015-03-31 · Person-level records linked to crash events
Driver Condition
While the vast majority of drivers were listed as 'Apparently Normal,' several hundred were noted to have other conditions. The most frequently cited condition was driving 'Under the Influence of Medications/Drugs/Alcohol,' recorded for 214 drivers. Additionally, 98 drivers were reported as 'Asleep or Fatigued,' and 75 were noted as being 'Emotional.'
Driver Condition
Source: Connecticut Crash Data · Csv Open Data · 2015-03-01 to 2015-03-31 · Person-level records linked to crash events
Pre-Crash Driver Action
An analysis of driver actions immediately preceding a collision shows that most were engaged in routine maneuvers. A plurality of drivers, 7,885 (48.4%), were going straight ahead. The next most common pre-crash actions were being stopped in traffic (1,696 drivers) and being parked (1,308 drivers).
Pre-Crash Driver Action
Showing top 9 of 16 reported. 7 additional (1,178 total) not shown: Other, Overtaking/Passing, Entering Traffic Lane, Leaving Traffic Lane, Wrong way (or Wrong Side), Making U-Turn, Overtaking/Passing Cyclist.
Source: Connecticut Crash Data · Csv Open Data · 2015-03-01 to 2015-03-31 · Vehicle unit records
Point of Impact
The front of the vehicle was the most common point of impact in collisions, with the area designated as 'Sector 12 (North)' being struck in 4,845 instances, or 29.0% of impacts. The rear of the vehicle, 'Sector 6 (South),' was the second most frequent impact point, involved in 3,169 cases (18.9%).
Point of Impact
"Other" combines 9 smaller categories (2,734 records): Sector 2 (NorthEast) in the 12-point Clock Diagram (590), Sector 9 (West) in the 12-point Clock Diagram (547), Sector 3 (East) in the 12-point Clock Diagram (456), Sector 8 (SouthWest) in the 12-point Clock Diagram (399), Sector 4 (SouthEast) in the 12-point Clock Diagram (379), Top (184), Non-Collision (121), Undercarriage (55), Cargo loss (3).
Source: Connecticut Crash Data · Csv Open Data · 2015-03-01 to 2015-03-31 · Vehicle unit records
Pedestrian/Cyclist Action
Among the 98 pedestrians whose actions were recorded, nearly half (47) were determined to have committed 'No Improper Action.' For those with contributing actions, 'Failure to Yield Right-Of-Way' and being 'In Roadway Improperly' were the most common, each cited in 10 instances. 'Dart/Dash' into the roadway was noted for 8 pedestrians.
Pedestrian/Cyclist Action
Showing top 9 of 12 reported. 3 additional (4 total) not shown: Inattentive (Talking, Eating, etc.), Disabled Vehicle Related (Working on, Pushing, Leaving/Approaching), Improper Turn/Merge.
Source: Connecticut Crash Data · Csv Open Data · 2015-03-01 to 2015-03-31 · Non-motorist records linked to crash events
Manner of Collision
The most frequent type of crash was a front-to-rear collision, which accounted for 3,155 incidents, or 33% of all multi-vehicle crashes with a specified manner. Angle collisions were the second most common type, with 1,666 incidents (17.4%). Sideswipes in the same direction of travel occurred in 1,242 crashes (13.0%).
Manner of Collision
"Other" combines 1 smaller categories (104 records): Rear to rear (104).
Source: Connecticut Crash Data · Csv Open Data · 2015-03-01 to 2015-03-31 · Crash-level records
Person Type
Of the 22,937 people involved in crashes, the majority were drivers, accounting for 16,504 individuals (71.9%). Passengers made up the next largest group, with 5,559 people (24.2%). A small but significant number of vulnerable road users were also involved, including 99 pedestrians and 12 bicyclists.
Person Type
Source: Connecticut Crash Data · Csv Open Data · 2015-03-01 to 2015-03-31 · Crash-level records
Person Injury Severity
Across all 22,937 individuals involved in crashes, 10.8% (2,483 people) sustained an injury of some severity, while 0.07% (15 people) were fatally injured. The vast majority, 19,788 people or 86.3% of those involved, were not injured. These figures include all drivers, passengers, pedestrians, and other involved persons.
Person Injury Severity
Source: Connecticut Crash Data · Csv Open Data · 2015-03-01 to 2015-03-31 · Crash-level records
Occupant Safety Equipment
Among motor vehicle occupants where restraint use was documented, 16,391 were reported as using a shoulder and lap belt. However, 466 occupants, or 2.5% of this group, were recorded as using no restraint at all. An additional 342 individuals were secured in a forward-facing child restraint system.
Occupant Safety Equipment
"Other" combines 3 smaller categories (158 records): Child Restraint System, Rear Facing (74), Child Restraint, Type Unknown (47), Booster Seat (37).
Source: Connecticut Crash Data · Csv Open Data · 2015-03-01 to 2015-03-31 · Person-level records linked to crash events
Vehicles Per Crash
The majority of crashes, 6,964 incidents or 72.9% of the total, involved two vehicles. Single-vehicle crashes were the next most common category, with 2,114 incidents, making up 22.1% of all crashes. Multi-vehicle collisions involving three or more vehicles were less frequent, accounting for 5.0% of the total.
Vehicles Per Crash
Source: Connecticut Crash Data · Csv Open Data · 2015-03-01 to 2015-03-31 · 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: 2015-03-01 through 2015-03-31
- Report generated: August 20, 2026
Data Coverage
- Reporting period: 2015-03-01 through 2015-03-31 (31 days)
- Geographic scope: connecticut, CT
- Total crash records analyzed: 9,553
- Total persons involved: 22,937
- Total vehicles involved: 17,557
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: March 2015." Published August 20, 2026. Reporting period: 2015-03-01 to 2015-03-31. Data source: Connecticut Crash Data, Csv Open Data. Available at: https://thatcarhitme.com/crash-data/connecticut/statewide/march-2015-report
About the Publisher
ThatCarHitMe.com is a crash data intelligence platform developed by Injuria.ai, a legal technology company specializing in traffic safety analytics. We aggregate and analyze publicly available government crash data to produce structured intelligence reports for communities, researchers, journalists, and legal professionals. Our reports combine programmatic data retrieval from official open data portals with AI-assisted narrative analysis.
Questions about this report's data or methodology: data@injuria.ai
ThatCarHitMe.com · An Injuria.ai Company
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Connecticut Crash Data · Csv
Period: 2015-03-01 – 2015-03-31
Generated: August 20, 2026 · All rights reserved
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